Image Title

Search Results for Women of the Cloud:

Adrianna Bustamante, Rackspace Technology | Special Program Series: Women of the Cloud


 

(upbeat music) >> Hey, everyone, welcome to theCube's special program series Women of the Cloud brought to you by AWS. I'm your host, Lisa Martin. I'm very pleased to welcome back one of our alumni Adrianna Bustamante joins me, the VP of Global Alliances at Rackspace Technology. Adrianna, it's great to see you. Thank you so much for joining me today. >> Lisa, thank you so much for having me again. I love this. >> Yeah, me too. Tell me a little bit about you, a little bit about Rackspace Technology, as well as the role that you currently have. >> Sure, so again, I'm Adrianna Bustamante. I look after our global alliances within Rackspace, specifically looking after some of our strategic partners. I've been with Rackspace for a little over 16 years now, working with partners in some form or fashion. Rackspace Technology, we are the multicloud solution experts. We really work with our clients to drive business outcomes and transformations in this multicloud world. And our mission is to embrace technology, empower our customers, and deliver the future. And I get to have the fun pleasure of building and curating and cultivating partnership relationships. So very much our partnerships are important to our success. We are privileged to be able to work with AWS along with other partners across the industry to help do more, and bring more value to clients. >> So you've been with Rackspace Technology for a while. Tell me a little bit about recommendations. Any tactical recommendations that you have for other women, maybe even men who are looking to grow their careers in tech maybe they're wanting to get into tech. What are some of the things that you've learned along the way that you highly recommend? >> Yeah, no, great, great question. I've had the fortune of being at Rackspace now for a number of years, and it's always 'cause I've been able to create my own opportunities and work. And so that really falls in line to some of the recommendations that I hold dear to my heart. And number one is really to stay curious and learn, from reading articles, to staying close, and asking questions from your colleagues. You know, I know just like at AWS and at Rackspace, there are some very talented people across all areas of the business, and they are the best to learn from. You know, I also am a firm believer in developing and expanding that network 'cause that helps you bring and build out your reach and helps you continue to learn in different areas outside the company. I think from raising your hand, leaning in, don't be afraid to speak up. Especially as we think about, you know, women of the cloud which is part of what the theme of this session is. And I think about, you know, how much I love to see women elevated within roles inside of Rackspace and out, you know. It is about raising your hand, getting uncomfortable in speaking up if you're, if you are a bit shy or timid. If there's an area that you are interested in and passionate about, go learn and drive. Because there's opportunities to create new roles for yourself, new ways to bring value into the organization. And then you become memorable for, you know, that, you know this person was known for helping solve this problem. It's been a good fortune. And within our company culture of any Racker, the front lines know how to solve most problems just as much as the top executives. >> Yeah, I love you saying stay curious. I think curiosity is probably one of the best things that people can have. It's, to your point of, I like to call it getting comfortably uncomfortable. Raise your hand, ask a question. I always think, if you're in a meeting, and maybe you tune out or there's something that you don't understand, ask a question. 'Cause I guarantee there's five other people in that room that have the same question, but they're not curious enough or hungry enough to ask the question to learn more. So I think those are such great recommendations that you have provided that I think you probably would tell your younger self stay curious, ask questions. >> Yes, for sure. I also am so big, at least for me personally, context is so important for me. If I understand context, then I'm really able to figure out where can I drive the most value for me personally. And then that goes into leading my teams. And so to me, the only way you get the context is if you're learning or asking the questions if you don't understand. 'Cause it really helps you understand the holistic business. >> A hundred percent. That context is everything. But a lot of people are just a little bit timid sometimes and don't want to be the one to raise their hand in a room or online these days. And I think it's such a great skill that anybody can benefit from. I'd love to know some of your other skills. Some examples of specific success stories where in your current role, where you've really helped organizations solve problems related to the cloud. >> Yes, so, you know, and I think about ultimately we're looking to see and always looking to see how we can help transform our clients' businesses. And often the underlying root of that is through technology solutions. And so, you know, we've helped clients who are mostly, you know, legacy data center based clients that have built large infrastructure components and environments, and they want to learn and lean into the cloud. And they're not really sure how to do that. They probably may have a leader that's told them that they need to do this. Everybody's at a different level of journey. And so, you know, specifically, and especially in partnership with some of our hyperscaler partners just at like AWS is, you know, we can help customers understand what that journey needs to look like. How to successfully move, let's say if they're a large VMware shop today they already have a little bit of cloud native. You know, together through our ecosystem of relationships, we've helped customers not only be able to build and maintain part of their data center footprint that's not ready yet to transform, but move some of this into a facility that is within our data centers to get out of that huge kind of CapEx heavy workload type environment. And then, and especially with AWS, and the partnership that they have along with Rackspace, with VMware, we leverage BMC on AWS solutions. And then we can help them fully embrace that cloud native. And from a Rackspace perspective we are providing those services and expertise across all levels in a single pane of glass. So you can manage from your more traditional workloads to embracing more of a cloud native approach. >> And it's all about helping clients drive business outcomes as you said. Every organization these days, I always like to think, whether it's my grocery store retailer or bank has to be a data driven company. But it has to leverage obviously the cloud. But there's so many options. It's quite nebulous, no pun intended, maybe pun intended. So, but it's all about helping clients drive those business outcomes. I imagine it's quite fulfilling for you to be able to help different types of organizations really maximize their use of technology, their understanding of technology, to really build bridges, deliver the products and services that everybody's expecting these days. >> Yes. No and I think what I, again, it's what I love about being in partnerships because those relationships become fundamental in helping remove those complexities for the clients. And so the more that we as Rackspace are able to connect and deepen these relationships it just becomes less decision making, less things that the client ultimately has to think about. So nothing gives me more joy than being able to help solve the customer's problems. And then in turn we're doing that through our partnership relationships. So we're bringing everybody together to ultimately provide a better outcome for the client. >> Yeah. And as you said, those relationships are foundational to everything and ultimately the outcomes that the end customer is able to deliver to these demanding, whether it's consumer or business or whatnot. A lot of challenges that organizations have today. But it sounds like the relationship cultivating that you're helping lead is really critical in those organizations being able to embrace technology, utilize it in ways that allow them to get products and services to market as fast as the consumer demands. I'd love to get your perspective as a female in technology. We talk a lot about diversity, inclusion, equity. We can talk about it all day long, but there's still some challenges there. What are some of the challenges that you see that are still persistent with respect to diversity and tech today? And maybe some of your recommendations to eradicate some of those? >> No, sure. So, you know, it starts really early. It starts almost in education and making sure that women, and a diverse set of applicants are taking certain, studying certain disciplines. And then I think about it from a recruiting and hiring perspective. Are organizations doing enough to expand their reach? You know, we were actually talking- I have the good fortune of being the executive sponsor of our resource group within Rackspace. It's called Power, which is the professional organization of women's empowerment at Rackspace. And we were talking just I think last week on, we need to make sure we're going where the women are to make sure we are letting them know about Rackspace, the benefits about Rackspace. And it ultimately, in turn that helps build more recruiting into the talent pool. More people are raising their hand and interviewing and hiring. I think talent in general as we're seeing right now, is so hard to come by, and so even more important to retain. And the more diverse pools that we have of Rackers, it's just bringing different perspectives, and Rackers are what we call Rackspace employees. It's bringing those Rackers together to help solve the bigger problems. Because you're able to do more with a diverse set of outlook. And I think, you know, as a woman, I want to have that equitable seat at the table. And so ultimately when I think about myself from a leadership perspective, am I making sure that all of those opportunities are available for the women that come along behind me? And how am I elevating other women within our organization from a day-to-day so they have that spotlight. So, you know, fundamentally, organizations need to focus on how to expand that reach to bring that diverse set of applicants and voices. And then you need strong leaders at every level to be advocates and sponsors to make sure that this is an important topic and top of mind in all organizations. So you can ultimately provide an equitable approach. >> Yeah, I love that. I agree a hundred percent. You know, it's so important to start at the education front, but also to be able to have just the thought diversity alone in organizations. I've seen many studies that show having females in executive positions are, companies that do that, are more profitable. There's a lot of data out there that demonstrates that there are huge advantages to any type of organization to really invest in diversity. But to your point, it's not just about attracting, it's about retaining the talent as well. I mean that, that is critical for every business. >> Yes. No absolutely. You know, more and more we're starting to see that soft benefits are becoming more important as we think about a younger workforce coming in. And when I think about soft benefits, it's more around our employee resource groups. What our benefits look like for our females within our healthcare, within the insurance plans? What type of time off and maternity benefits are we extending? What does that work-life balance look like in a hybrid world or a virtual world? Those questions become, I mean, when I remember years ago no one would even think about asking those questions. And now we see, not only those questions coming up more regularly, but we are trying to be more intentional within our organization. To be proactive about that messaging so we can help show and demonstrate that we are an inclusive community. And that there's support for women to be successful within Rackspace. You know, we have mentoring programs that we do that are you know, that we really try to highlight and promote for our female community. And then also for our broader community. We look at building different circles that women can come together in a space that they feel comfortable to ask questions. To figure out how do they excel and advance in their career. Those become very attractive for getting that talent that we want. >> Absolutely. And you just brought up such a great point, Adrianna and that's intention. Programs like what you're describing that the Rackers have opportunity to access, is that there's intention in all of this. Which is so critical for diversity programs to be successful. To attract the right talent, to retain the right talent. It's like a flywheel, I think it's all, it's all linked together. But I'd love to know what you see that's next in cloud. How do you see your role evolving in the industry? We talked about the great relationship building that you're doing. What do you see as next in cloud? >> No, sure. Again, 'cause I helplessly can't be biased. It is all about to me that that partner ecosystem. It is how we can build strong relationships that help minimize the complexities for the clients. You know, now the pace for innovation and competitive edge is faster than it was than we saw 24 months ago. You know, we saw COVID advance lots of different areas of the business, but really it forced a lot of companies to transform. And this is where I think there's a unique opportunity to really look at what a partner ecosystem looks like. You know, who are the right partners that organizations like AWS, like Rackspace should be working with. 'Cause oftentimes the partners that were our partners and key partners, maybe three to five years ago, maybe aren't going to be as relevant in that same ecosystem in the next five years. So constantly making sure that we have the right ecosystem in place, and the right relationships to help ultimately drive better outcomes for the clients. >> And that's like we said several times already during this interview. It's all about the outcomes for clients. You mentioned COVID, you know, there's been- I call 'em COVID catalysts. A lot of transformation, forcing function. There's definitely been some silver linings, but I'd love to get your perspective if we go back like the last five years. Some of the biggest changes that you've seen in the tech workforce, in innovation, in the last, you know, three to five years that really excite you. >> Yeah, so I think we all had to learn to be virtual by default. And so I think we're just coming out. People are excited to be in person again. You know, when we have different events, whether they be with internal Rackers or with partners or clients, like everyone's excited to to see each other again. But you're still seeing this mix of, we need to be hybrid by default, which I know wasn't in everybody's DNA from a technology perspective. And I think that's enabling more virtual teams, more matrixed type of teams, where you're bringing together different expertise across the organization to move at a faster pace. You know, we talk about, you know, we talk about COVID which led to that great resignation where you saw many people changing their jobs. You know, we saw women not only within Rackspace, but even outside, like really, you know, take a pause and really start thinking about what's important to them in that returning to work. And so I just think all of this has really, as you mentioned, Lisa, of forcing function on being intentional to create the right environments that are building a place that we can retain that level of skill and expertise. And I think that's just going to become something that's more increasingly important with every year and profession choice. >> I agree. It's going to be building upon, like it's that flywheel that I'm talking about. That of successes, of promoting women, of making sure that there's plenty of opportunity. Encouraging women, to your point, to be curious raise your hand, ask the question. There's so much value, it's invaluable for organizations to really have diversity throughout their organization. You did a great job of explaining. Even in the benefits framework. So, I so appreciate you being on theCUBE. Adrianna, it's great to see you again. Thank you for sharing your story, the successes that you've had as a Racker in cloud, and some of the things that you recommend to the next generation. We really appreciate your time. >> No, thank you. If I can walk into more rooms where there is more women at the table and on the calls, I am a happier individual. So I love any opportunity to really see how we can continue to make more space in the rooms for women that are just overly talented and deserve to be there. >> I am with you on that. Again, thank you so much. Great to see you and we'll see you again soon. >> Thank you, Lisa. Take care. Have a good afternoon. >> Thank you. We want to thank you for watching theCube's special program series Women of the Cloud, brought to you by AWS. I'm Lisa Martin, thanks for watching. (upbeat music)

Published Date : Feb 13 2023

SUMMARY :

Women of the Cloud brought to you by AWS. Lisa, thank you so that you currently have. And I get to have the along the way that you highly recommend? And so that really falls in line to some in that room that have the same question, And so to me, the only I'd love to know some that they need to do this. to be able to help different And so the more that we as Rackspace and services to market as and so even more important to retain. You know, it's so important to and demonstrate that we But I'd love to know what of companies to transform. innovation, in the last, you know, You know, we talk about, you and some of the things that you recommend and deserve to be there. Great to see you and Have a good afternoon. brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
AdriannaPERSON

0.99+

Adrianna BustamantePERSON

0.99+

Lisa MartinPERSON

0.99+

RackspaceORGANIZATION

0.99+

AWSORGANIZATION

0.99+

LisaPERSON

0.99+

RackersORGANIZATION

0.99+

Rackspace TechnologyORGANIZATION

0.99+

threeQUANTITY

0.99+

Women of the CloudTITLE

0.99+

last weekDATE

0.99+

Rackspace TechnologyORGANIZATION

0.99+

five yearsQUANTITY

0.99+

hundred percentQUANTITY

0.98+

five other peopleQUANTITY

0.98+

threeDATE

0.97+

over 16 yearsQUANTITY

0.97+

todayDATE

0.97+

BMCORGANIZATION

0.97+

24 months agoDATE

0.97+

five years agoDATE

0.96+

oneQUANTITY

0.94+

VMwareORGANIZATION

0.91+

single pane ofQUANTITY

0.79+

COVIDOTHER

0.79+

theCubeORGANIZATION

0.79+

last five yearsDATE

0.78+

next five yearsDATE

0.75+

years agoDATE

0.73+

A hundredQUANTITY

0.7+

RackerORGANIZATION

0.62+

Global AlliancesORGANIZATION

0.61+

COVIDORGANIZATION

0.6+

CapExTITLE

0.5+

Tia Wiggins, AWS | Special Program Series: Women of the Cloud


 

(upbeat music) >> Hello, friends, and welcome to another edition of this special program series from theCUBE highlighting the brilliant women of the cloud. I am absolutely thrilled to be joined today by a transformative visionary, accelerating the route to market for many of North Americans' top businesses. Please welcome Tia Wiggins of AWS. Tia, thank you so much for being here. >> Hello. Hello everyone. Thank you for having me. >> I know there's a lot that we're going to talk about tech and innovation and the very exciting parts of your role, both at AWS as well as on the philanthropy side. Excuse me. But before we get there, I want to know how you got to where you're sitting right now. >> Yes, yes. Well, I'm proud to say my entire family is STEM born and bred. You know, I think I have a more traditional American upbringing of parents that did not have college degrees, but they've always had us in programs. So, you know, like I say, proud today. I have two sisters who are doctors and I was on a path to be a pharmacist. And, you know, I had got sponsored by a leader that took me on through the business journey and allowed me to connect the STEM side of my life to helping businesses grow. I'm also, I'm proud to share that I'm a philanthropist. I do believe in building communities and removing barriers to help people grow. Also, you know, as a child of two military parents, you know, my mother leaned on programs, right? I went through local hospital programs that taught me about medicine, that taught me about math, school that taught me about physics, right? That were free and funded, that allowed me to, you know, explore and get exposure. So, with that, you know, I've always had a knack to figure out how do I, in my own capacity, not being a billionaire, not being, you know, a trust fund child, but how do I create resourcing to help others come along on this pathway, leveraging and bringing bridging the two of STEM and community together. So, yeah, that's a little bit about my background. >> Yeah, I mean, it seems like it's a lifelong commitment not just a career long commitment to the industry and you're very clearly a curious person. You mentioned the role that resources and community have played in your journey. How would you recommend others who may be interested in a similar career path or exploring technology and business take actionable steps to do some of the similar things to you've done? >> Absolutely. So, as I believe that I have everyone watching this from from early career before actually in college. So I would tell for the entry level for you to focus on first finding programs, you know, AWS we have programs that help you come into the cloud computing. We will help you get your cloud certification. We have great internship programs but then also too, you know, there's diverse programs like National Society of Black Engineers, Society of Women Engineers, Society of Hispanic Engineers. There's so many programs, right, that can help you gain those actual training will actually provide you a job and exposure so they can help you actually figure out what the path you want to take when it comes to STEM. What I would share for mid-level something that I do personally for myself is, after you're in the industry, is to write a vision. So my superpowers or is transformation and a vision and every year I start off with like a love letter to myself and it includes something related to my career; a bold move. And as I get crisp on to saying something dangerous that I want to go do, I share that with my sponsors. I share that with my network, what I call my tribe, and those individuals help me gain the experiences that actually make the moves to get there, right? And it might not be exact, right? I might not actually hit that move that year. But if I look backwards, I actually looked I actually took some of the steps that were needed and essential for me to thrive when I actually get there. So definitely I would say, you know, one, in terms of exposure with programs. Two, for if you're actually in your career, write your vision, right? Get real crisp what you want to go do about it and then share it with your team. And then the last point that I think is essential that we don't really talk about a lot is feedback, right? It sounds it's easy, but feedback is communication and how you perceive yourself is not how others always perceive you, right? And I do believe in having pride. I do believe you need a certain level of ego for yourself, right, to thrive. However, there is nuggets in there that can help you accelerate on your journey, right? So I take time and I actually go on listening circles and I ask about what are my blind spots? Like, just be honest, right? Something about the AWS culture I love is that we use this principle of being vocally self-critical, right? That creates a level of transparency and honesty for others to be honest with us about something that we might not see, right? Or we might have failed, right? Or we might need to improve. So I would say, again, programs, write your vision, right? You know I call it a love letter to make it more personalized. And then three, get your, get feedback. It's essential. >> I like that, there's almost like an id, an ego and an external to that, as well as a qualitative and a quantitative component to that which I think is really interesting. You know, I went to five different classes, or I try, I looked at six different YouTube videos to learn about these skills, versus I took the time to think about what that would actually mean to me and to myself. And I think a lot of folks at any stage in their career journey don't necessarily give themselves the time to have that type of reflection. So it's wonderful to see someone who's been as successful as you talk about both your process as well as that level of transparency and communication. Taking feedback is a skillset that you'll have to use in many aspects of your life moving forward. >> Yeah. It's just communication. That's all it is. Just communication. >> Absolutely. Yes, and working on that is a certainly a lifelong journey. You've had a lot of success in your 15 years of being in the cloud. Can you give us some examples of your favorite moments? >> Yeah, you know, I'm proud. Like I took some, I took very... I got along with that vision, right? I took some very critical steps to ensure that I was taking roles that created mobility, right? You know, going back to starting at BAE systems, working with a aerospace and defense contractor where I had to move different states and get exposure to different platforms and lines of business, IT, manufacturing, down to actually stepping into an international nonprofit firm where I worked the redesign of that company, right? You know, understanding different levels of contracts how do we go to route in the market with other foreign countries, right? And then coming back into my previous- >> Not simple problems there. >> Not simple at all! But pretty amazing. >> To give you a shout out on complexity, yeah. >> Complexity, right? And it constantly be moving. And also, side note to everyone, you know obtaining my additional degrees. So, you know, if you look at my background, you know you'll see a lot of HR former roles. But if you look at the components of those jobs, it was business building, project management agile management, change management, right? So when I, I will say two of my major success moves, well one would be I was chair at Northrop Grumman. It actually allowed me to crack my teeth when it comes to new business acquisition, business proposals, right? So take all that idea of programs but actually being a part of a team to go after some of our most sacred nation contracts and programs that protects our country, right? Building, coming up with a solution and strategy, using technology, using data modernization, pulling together cloud components and then actually going out there and actually identifying the talent across the world that will be aligned to this. And making that and being a part of that team and actually signing off and saying, "Alright, this is what we believe is the best program for our solutions, for our employees for our world, for our nation," right? Had several multiple multi-billion dollar contracts that I worked on that we actually won with the Northrop Grumman that really also, from a side note, helped me build my confidence to say, "Hey, I can do more." Like, "Hey, I don't have 50 years in this industry but you know what I know is I have exposure, I have experience, I have, hey, I have an idea," right? And I know about technology and tools and how this links together into a story to say, "Hey, how does this bring value?" So I would say we had several, again national security programs that I was a part of, and then here at Amazon to speak more for our partners, right? Our partner experience. Just this year, you know, coming into my role within two quarters, we actually delivered, we actually confirmed that we actually identify Amazon opportunities for our partners, right? We believe Amazon opportunities helping our partners route to market helps them actually identify better partner opportunities so we can actually help them attach them to an actual customer. With that, within two quarters we were able to deliver over- >> Just to insert number for scale for folks listening. >> Yes. >> You have over a hundred thousand partners, correct? >> That's right, we have over a hundred thousand partners. >> So echoing on the complexity, it's not just like you're matchmaking, you know, two different people from two different sides of the fence here. >> No. >> The matrix is massive in the flywheel. That's wild. >> Yeah, absolutely. So, you know, with that, we took a subset to start with a subset of partners to say, "Hey how do we just pilot an experiment," right? If we did an exercise where we actually you know, do, you know use tools to identify opportunities that better aligned to partners, and how do we deliver that to them, right? Versus us reacting to just waiting for them to provide something to us. Within- >> What's the biggest challenges for you there? >> Oh gosh. Complexity, right? >> Yeah. >> Complexity partner types. You know, we deal with, you know, system integrators, we deal with independent software vendors, resellers - everyone has their own additional needs. They have their own complexity, they have their own in terms of their makeup, right? In terms of resourcing. So, you know, we have to, on top of that, we have to work with the partner to make sure they're actually ready and equipped to actually receive opportunities from us. And then also how do we help work with them to build a sales plan to go after those opportunities. So it's, it's all of the if you think about the flywheel, yeah we could throw something over the line, but we also have to work with them as one team to say, okay how do we help make this help you launch this opportunity with the customer, with us? >> Yeah. >> Yeah. >> And so what do you hope to see coming in the next five years? Where do you hope your role takes you at the next... >> Oh gosh. You know, I don't actually go off five years because if I look back at the last 15, I didn't imagine all those different opportunities, by the way. Right? >> Love that. So true. >> So, yeah. So I don't, again, it goes back to like I hate putting boxes over myself and but vision-wise, you know, just to say thank you to my mentors, to my sponsors, you know, I see myself C-suite, right? I see myself over an organization helping again connecting the dots with business growth and opportunities. Now, is it Amazon, I hope? Be wonderful, right? But if it's another large Fortune 500 company, absolutely. But in far, in terms of the cloud computing industry I mean, we're the unimaginable, right? You already, you talk about, you know AI we've talked about in the past, we talk about this meta, you know, this digital transformative world where we're living virtually. That scares me, right? By the way, just to be honest, everyone. But, I do believe that as a company, we are going to be moving to be more digital, you know, I do believe our customers will be more digital. I do think in more virtual engagement, right? And I see myself building those programs to help ensure that our workforce is there, that our sellers are there, that we can actually continue to drive growth and that they're actually equipped to actually align to those opportunities to help our customers grow their business. >> Yeah. The acceleration and the evolution of the modern workforce is a challenge that so many businesses are facing right now. I'm sure tens of thousands, if not all of the six-figure plus partners in your program are experiencing a dynamic range of challenges as a result. And they are all very lucky to have you there to support them. Hopefully everyone at AWS is listening to that nice plug and opportunity to promote you to the C-suite where I'm sure you belong, as time goes on. Switching from digital to diversity just a little bit, it's clear that you have had people in your community who have mentored you and taught and been a part of the education side of your journey. And I'm curious to see, or curious to ask you rather, what are the challenges that you still see in diversity in general today? >> Yeah. Well, you know, it unfortunately is still here. You know, we still have unconscious bias, right? In senior level career advancement. I think that's embedded in our culture and that's something that we constantly have to combat. You know, I was also trained under the mindset and had this belief that say, "Hey let your work speak for yourself." And in reality, it's not about your work, it's also about who knows you and who actually wants to know about you, right? And that equals unconscious bias, right? Someone that actually, you know, for people to see you for who you are and see what you actually contribute versus they just liking you. So, you know, and also too, you know we've run into the issue of being taught in our culture to lean in, right? For a moment there, I believe that, but at some point when you look around and you're like, "Oh gosh, you know I worked all last year, but my pay was only this." Or, "Hey, that person got promoted and they only worked on this one thing." And then you, and then it pinches like, oh, it's still there, right? So I just believe as leaders and including myself as my commitment is like any organization of my part like how do I advocate for others? How do I create opportunities? How do I address it? I'm very blessed to have a leader that also sees what's possible in me and creates those opportunities and, you know, removes those roadblocks and those barriers. But I, you know, I can't lie is that, you know, I've also personally been through that. But then again, I look around my family and my community and I have, you know family that's also civil servants, public servants. This is nothing new, right? And, you know, and I go around them and I get empowered to say, "Hey, you know you can actually do this and this is how you can overcome this." But then also with your commitment as a leader my commitment is how do I create those pathways for others and remove those barriers. And when I see that, how do I address it? >> And how to really be what you're touching on there so much is allyship. >> Yes! >> I think there's, it takes, being an ally takes many forms across workplaces and functions and genders and demographics and anything quite frankly. And not everyone can advocate for themselves as loudly as someone else can. And that's particularly if whatever that demographic is sees itself a lot on the leadership side of things. But it's really easy to compliment a friend or a teammate, and I think it's actually pretty easy to say nice things about them in the room when they're not in there. And that's one of the easiest ways to be an ally. And I love that you just brought that up. I think that, yeah, we just, we forget that someone else is still fighting to be noticed. And when I was looking at your, you let the work speak for itself. One of the lines that I've always referenced is "be so good they can't ignore you" which kind of combines exactly what you just mentioned is the being noticed piece. And I think it's all of our jobs to help other people and the right people and projects get noticed. So, I really love that. >> Yeah. >> Final question for you- >> So actually, just another quick line about that, you know. >> Yeah. >> And also, you know, and this is another reality about this is knowing when to walk away, right? Cause some people can chew and, you know, I do believe in closed doors are a blessing. You know, when you face rejection, you know it's redirection to where you need to go. But I also do believe like I was at this conference years ago and this woman made this analogy. There's, you know, she said, "There's a million men out there, you know, if it doesn't work for you, go get another one." And that's the idea is that your one company is not your only company. There's other companies that might be better aligned to you. Believe in yourself that you're worth it to go find another opportunity that's better aligned where people can actually celebrate you versus where they say this concept of tolerates you. So I just put that out there, is that bold belief that you have to know that about yourself to know that, hey, you're worth it, and there is another company that you can thrive and you're going to be okay. And when you do it, you'll be happy that you actually took that leap of faith. And that's something that I've taken. And when I know that, hey, my time's up, if I sense that if I see that, then I just will move on it. And I'm okay. >> I've been back here behind the curtain just snapping as you've been talking. I couldn't agree more. The only brand you're ever going to represent your whole life is you. >> Yeah. >> And I think you just nailed it. I was going to ask you for some closing inspiration, but I think you you just nailed it with that statement to be quite honest. So I don't want to poison the well. Tia Wiggins, thank you so much for joining us. It is very clear why you are a go-to market leader and AWS is very lucky to have you. And thank you to our audience for joining us for this a special program series here on theCUBE where we are featuring women of the cloud. My name's Savannah Peterson, and may the skies be clear and blue and with beautiful clouds in your universe today. (upbeat music)

Published Date : Feb 9 2023

SUMMARY :

Tia, thank you so much for being here. Thank you for having me. I want to know how you got to that allowed me to, you know, of the similar things to you've done? and how you perceive yourself is not how and an external to that, as well as That's all it is. Can you give us some examples Yeah, you know, But pretty amazing. To give you a shout And also, side note to everyone, you know Just to insert number for That's right, we have over matchmaking, you know, That's wild. So, you know, with that, Complexity, right? You know, we deal with, you And so what do you hope to see coming because if I look back at the last 15, So true. to my mentors, to my sponsors, you know, to the C-suite where I'm sure you belong, know, for people to see you And how to really be And I love that you just brought that up. quick line about that, you know. it's redirection to where you need to go. going to represent your And I think you just nailed it.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
AmazonORGANIZATION

0.99+

AWSORGANIZATION

0.99+

15 yearsQUANTITY

0.99+

Savannah PetersonPERSON

0.99+

Northrop GrummanORGANIZATION

0.99+

Tia WigginsPERSON

0.99+

50 yearsQUANTITY

0.99+

twoQUANTITY

0.99+

TiaPERSON

0.99+

five yearsQUANTITY

0.99+

Society of Women EngineersORGANIZATION

0.99+

over a hundred thousand partnersQUANTITY

0.99+

National Society of Black EngineersORGANIZATION

0.99+

todayDATE

0.99+

threeQUANTITY

0.99+

over a hundred thousand partnersQUANTITY

0.99+

one teamQUANTITY

0.99+

two sistersQUANTITY

0.99+

firstQUANTITY

0.99+

two different sidesQUANTITY

0.98+

bothQUANTITY

0.98+

tens of thousandsQUANTITY

0.98+

six-figureQUANTITY

0.98+

Society of Hispanic EngineersORGANIZATION

0.98+

last yearDATE

0.97+

OneQUANTITY

0.97+

TwoQUANTITY

0.97+

this yearDATE

0.97+

YouTubeORGANIZATION

0.97+

one companyQUANTITY

0.96+

two quartersQUANTITY

0.96+

five different classesQUANTITY

0.96+

oneQUANTITY

0.94+

Veronica McCarthy | Special Program Series: Women of the Cloud


 

(sparkly music) >> Welcome to the Cube Special Program series "Women of the Cloud", brought to you by AWS. I'm your host, Lisa Martin. I'm very pleased to welcome Veronica McCarthy to the program, Senior Sales Manager ISB for Amazon Web Services. Veronica, great to have you on the program. Thanks for joining me today. >> Thanks for having me. >> Tell me a little bit about your current role. A little bit about yourself. >> Absolutely. Yeah, so I've been at Amazon just about four years now. I am really passionate about technology. I've been in the tech industry for about 20 plus years. Right now I'm a sales leader, so I lead a team of folks that help software companies build technology in the cloud or move technology to the cloud and help them scale and innovate in the cloud. >> Awesome, I love that. Talk a little bit about for, for those looking to grow their careers in tech, what are some of the tactical recommendations that you have that you think are really, really pertinent for others that are looking to climb that ladder? >> Yeah, it's so important to have that passion for technology 'cause that's what we do every day. It excites me to jump out of bed and learn what's new, what's coming, what we're building together and how early we are in cloud computing and in technology as a whole. So really get curious and even, you know feel free to get, get hands on. I remember early as a kid just building computers with my dad in his room. So get hands on. Today there's so many things available on the internet for free tiers. You can just play with software to get building websites, games, whatever interests you. And oh by the way, watch the Cube 'cause you're going to learn a lot and you're going to get immersed in technology, which is so important when you're learning to grow a career here because it comes across when you're interviewing, when you're talking with others, when you're networking, that you're really interested in the topic and you're really here to, to grow and and help build tech to be what it can be in the future. >> These are all great recommendations for really building that authenticity. I love your advice of really from an immersion perspective. You're right, there's so many opportunities for people of all ages to start playing around with tech and, and, but that your point of opening up your mind and being curious and embracing the different learning paths is also that curiosity. I always think creativity as well are just really important recommendations for others that are looking to grow their career in tech. >> I want to understand some of, based on some of, of those tactical recommendations. Talk to us about a success story that you've had where you've solved problems for customers relating to cloud computing based on some of your recommendations. >> Totally, just picking up on the curiosity theme that we were talking about, one of the things that I did when I was earlier in my career and I was looking after a customer, is I got curious about their business. How did they interact with their customers? And I worked backwards from that experience 'cause they were selling to consumers and I said what if they could do all these other things that could open up the consumer's eyes? So I came up with a zany idea of what if they did a partnership with Amazon and we flew their goods directly to the end consumer by a drone, you know, just crazy stuff. And I wrote something called a PRFAQ which at Amazon we use very often. It's a press release, frequently asked questions. This PRFAQ was, what could you do in the future with tech? What could, you know things what could we unlock with tech in your business? The C-suite of this company said, "You know what, that's really interesting. We're not going to do that crazy drone thing. But we like the thinking, we like the learning we like thinking about the future. How does cloud help us unlock that future?" So the long story short, they had a monolith OnPrem getting their, getting their technology from a OnPrem monolith to microservices in the cloud unlocks and opens up APIs for them to partner with other organizations to grow their customer base and in turn grow their revenue. This company in particular, pandemic hit, market change. They had to pivot or else they were going to go out of business. And because we had moved their technology from an OnPrem monolith to the cloud they were able to make that pivot and they survived the pandemic and are thriving. So it's a real life example of a success story of just getting curious, understanding the customer's business, coming back from that and then aligning for the future and getting a customer to, to get curious with you and build for the future, which worked out. And who could have predicted the pandemic, but it worked >> Right. But getting the the customer to be curious with you kind of leads me into talking about, you know, and, and the customer wanting to embrace and, and embrace cloud computing is really a transformative business model. Also takes cultural impact. Sounds like what you've been able to achieve with this particular success story. The customer had the appetite from a cultural transformation perspective but that's a hard thing to accomplish. Talk a little bit about that maybe from that customer's perspective and how they really were able to transform into a culture that embraces cloud computing. >> Absolutely. You're spot on . With all of these transformations, it's people process technology. Technology's the easy part, right? The cloud's there, we can, the architecture's there, we can build software. It's the people and the process that's hard. So as part of that transformation and part of that engagement, they actually hired me. So I left Amazon and I went and became the VP of technology for this company and I led 650 engineers globally through this transformation from an OnPrem model with microservices in the cloud. So they put faith in me because they knew this was the outcome we needed to get to but they needed the people in the process to change. So bringing the, the engineers on that journey of I know you've been building this way for a really long time and in this place, we're going to bring you into the future and we're all going to do it together. So it's a learning journey because we're all going to learn how to build microservices in the cloud and we're going to do it together and then it opens up their future as well as they continue to grow as engineers. So it's not easy to do, but it takes time. But we were able to do it in that case. >> But you bring up a great point, it's a learning journey. Yeah. And for organizations to have that appetite and that understanding and appreciation, that is as critical as the technology. You talk about, you know, people across technology. The technology is easy, it's really changing the frames of mind at the speed at which they need to change for organizations to be competitive so they can leverage cloud to really help unlock the competitive advantage as as that success story customer that you mentioned. >> Absolutely. Absolutely. And building on that innovation, right which innovation is just a, a flywheel of learning. So absolutely. >> It is. Let's shift gears a little bit, but speaking of people and processes, you know, what are some of the challenges that you see from a diversity perspective whether it's thought diversity in tech today? >> Yeah, great question. Tech is an opportunity for a level playing ground because tech is a platform with which you can build things. The important piece of building tech though is we need to make sure that many diversities are represented in the room. So when we're making tech decisions of how we're going to build, what our consumers are going to, how they're going to interact with our technology. Not everyone is one individual person. It's not a monolith out there, you know consuming our technology. So let's make sure we have that diversity in the decision making and building the tech as well as in the user use case and, and working backwards from our end users of our technology. I think one of the most, one of the easiest ways to start to approach, approach that diversity of thought and getting that diversity within your teams is looking at a gender diversity ratio. And, and we've seen historically, whilst we've seen gains in gender diversity and technology over the last few years, it's still not where it needs to be. There's a stat that I read recently in a McKinsey study that only one in four C-suite leaders are women today. And of all of all the entry level jobs from entry level to manager of all, like let's say you take a hundred men only 87 of those are women that are concurrently being promoted. Only 82 are women of color. So it's an opportunity for us to really level the playing field and think about how do we intentionally put people in the room when tech decisions are being made that can make change and build tech for who we, we know is out there to consume and, and are be a part of our tech community. >> Intention you mentioned. That is so critical for organizations really need to be looking at diversity, DEI from a, from an an intentional perspective. It can't just be ad hoc here and there. They really have to have a strategy behind it. And when I see companies, and there are a few that I've worked with that really caught my eye that have done a phenomenal job of that thought diversity, gender diversity, cultural diversity within their leadership even the people that they put on stage to talk to their events, they stand out incredibly well. We also know that there's, you probably have numbers on this, that organizations with women in the C-suite are far more profitable than organizations that don't have that. So the data, we want to talk nerdy tech, the data is there. It's demonstrating what the potentials are the capabilities, the, the opportunities. Yet we're still so far behind and we have so much road to cover. We know the direction we need to go in, we just got to be able to get the teams behind that to get there. >> Absolutely. And data's key. I read a study recently that said if you don't have at least 30% diversity in the room when you're making decisions, you are statistically not going to make the right decision, which is incredible. So the powers and the data. We know better decisions are made. Companies do better when there's diversity in the room of all types. >> Absolutely. And can you imagine the sky's the limit, if organizations are actually able to just start making headway on that percentage number and shifting it towards that diversity. What incredible opportunities and technologies and services and solutions that can be developed and delivered to meet the demanding consumers needs. So much potential there. It's, it's a, it's kind of like a crystal ball. If only we had one, we could actually see what we could actually be. >> Yeah, you're absolutely right. And I think thinking about some of the older reasons why maybe women didn't stay in the workforce longer or maybe didn't take a a career in tech, a lot of those were minimized during the pandemic. So we think about the work from home concept, right? Like that's so normal now it's, we're no longer grinding you know, I have to leave early for daycare pickup or whatever the challenges or the perceived challenges there were to women progressing in their careers. A lot of that can be managed now. So there was some good things that have come out of that pandemic time that, you know, it's much more acceptable to be home remote working. I think the balance isn't making sure that we continue our in-person innovation where we can. I find with customers today, bringing executive teams together in a room to have them brainstorm and innovate is still priceless, right? Like we still have to spend that time, we're humans, but as a woman in technology, I love the flexibility that we are now taking and adopting as a norm. And even, you know, some of my male peers that have kids at home, they love being around the kids at home and and it's a, it's a real positive impact I think that we've had amongst a lot of negative impacts by the pandemic as well. >> It is, they're definitely silver linings. That's one of them. I was talking with somebody in, in Italy this morning we were filming and you said, "I don't think my daughters are going to run in here." And I thought, you know what, even if they do that's part of totally the remote workforce, that's part of the hybrid workforce that we're all embracing. But you bring up a great point about the in-person innovation. You know, events are starting to come back, so exciting. There's just certain things about event from an innovation perspective you just can't replicate by video. So getting those executives in a room together. Talk about what you guys are doing there and, and some of the things that you think of over the next few years that will really help drive evolution and innovation of tech. >> Absolutely, yeah. I have a lot of clients that often will say, "Oh well we're we're a remote first company." So it's okay that we do our innovation session online. But then I remind them of when was the last happy hour you had online? Like do you remember the early days of the pandemic? And we all sat on, you know pick your web conferencing platform and we, you know drank wine and but there was only one person that you could hear in that. So when they're, everybody's going around and all the boxes are on the screen, it was difficult to have multiple conversations. If you walk into a happy hour in, in real life people all over the room are having multiple conversations and a lot of different things are happening in the room at the same time. It's the same thing with innovation. If we bring an executive team into the room, guess what? There's going to be a couple sidebar conversations going on as the big room progresses. And that's really healthy and that's a great way to get people that may not be the one, the star of the happy hour that wants to speak the whole time to also get their inputs and their feedback into the innovation process. So that's just an example of why it's so important. One of the things we do here at Amazon is we have so called a digital innovation workshop which is exactly as it sounds, right? Just get in a room with some whiteboards, with some thought leaders and really let's innovate for the future and it's a blank sheet of paper kind of start and out of it we come up with a business plan, a PRFAQ, like a press release I mentioned in my story earlier. That's the seeds of that. So it's really powerful and I'm so excited we're continuing to do those face to face 'cause it's so important. >> It's so important, you know, to have diversity present in the room when decisions are being made, whether it's decisions about technology or not. That thought diversity is, and as the data show that you mentioned, demonstrates how much more successful and profitable organizations can be. I'm going to ask you kind of switching gears again. Last question. If we look kind of down the road from an evolution perspective of of you're in cloud, of your role evolving. What are some of the things that you see down down the pike? >> Yeah, so great question. I am in a field sales organization today, so when the pandemic first hit, I thought, oh boy, that's the end of our career. I think we're not going to be going out and calling on customers face to face anymore. But it's actually been the opposite. I've seen more engagement from our customers. They, they really do want to spend time with us innovating. When we come into those conversations we come in with a curious mindset. So I think from a field sales perspective, it's it's not, you know, going away. And I think it's going to continue to build and it's a great career for women in particular to get into. Super flexible, the privilege of travel which is a nice vacation from home life sometimes. And the, the benefit of working from home as well. So a good balance there. So I think from a, my role specifically it's going to continue to evolve and continue to be a growth area. >> From previous roles I've had where I've worked in technology and, and software development, I think are we're still such at early stages in cloud computing and cloud technology that there is so much technology that we're continuing to build from an engineering standpoint. And I think back to my, you know, 20 year old self if I was in those shoes today and I would absolutely be doing a career in engineering. I think it's such an exciting space and as a person of, of of a, as a female I want to be at the forefront of the engineering team. So I encourage anyone if they're, you know of a diverse background, like you are the people that I want in engineering in the future because that's how you're going to build the future is build the tech, which is really cool. >> So absolutely. It's, it's very cool. I do have one more question for you. What's of your lens, what's next in cloud? What are some of the things that you think are coming down the horizon? >> Yeah, so great question. So I, I actually have a son who's special needs and I think about some of the accommodations that we have to make for him today. And I think about the tech that's coming in terms of personal tech on helping him communicate or helping him read or helping him write. And I'm excited for his future where I think a diagnosis like his, if I'd gotten it many years ago, I would be very fearful about his future. But I know that tech is going to support people like him. So I'm excited for what it's going to do for humanity. I'm excited for what it's going to help us unlock for people that may have been hindered in previous lives. My, my mom grew up with a disability and she had to keep her career relatively low level because she couldn't overcome that disability without tech. And now that she has tech, you know it would've changed the game for her. So I'm excited for my son and his future. That's what inspires me and, and I'm excited about. >> I love that. Well, with a mom like you, he's sure to succeed and fly flying colors. Veronica, it's been such a pleasure having you on the Cube. >> Thank you. >> Exciting special series of women in the cloud. We so appreciate your insights and your time. You'll have to come back. >> Thank you so much. I appreciate it. >> All right, Veronica McCarthy. I'm Lisa Martin. You're watching The Cube's special program series Women of the Cloud, brought to you by AWS. Thanks for watching. (sparkly music)

Published Date : Feb 9 2023

SUMMARY :

brought to you by AWS. about your current role. I've been in the tech industry that you have that you think in the topic and you're really here for really building that authenticity. Talk to us about a success and build for the the customer to be curious in the process to change. that is as critical as the technology. And building on that innovation, right that you see from a diversity perspective And of all of all the entry So the data, we want to talk So the powers and the data. and solutions that can be of that pandemic time that, you know, and, and some of the things that you think One of the things we do here at Amazon I'm going to ask you kind and continue to be a growth area. And I think back to my, What are some of the things that you think And now that she has tech, you know pleasure having you on the Cube. You'll have to come back. Thank you so much. Women of the Cloud, brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Veronica McCarthyPERSON

0.99+

VeronicaPERSON

0.99+

AmazonORGANIZATION

0.99+

AWSORGANIZATION

0.99+

Amazon Web ServicesORGANIZATION

0.99+

ItalyLOCATION

0.99+

20 yearQUANTITY

0.99+

McKinseyORGANIZATION

0.99+

oneQUANTITY

0.99+

650 engineersQUANTITY

0.99+

Women of the CloudTITLE

0.99+

todayDATE

0.99+

87QUANTITY

0.99+

pandemicEVENT

0.98+

TodayDATE

0.98+

OneQUANTITY

0.98+

one personQUANTITY

0.98+

fourQUANTITY

0.97+

PFA QTITLE

0.97+

this morningDATE

0.97+

one more questionQUANTITY

0.97+

about 20 plus yearsQUANTITY

0.97+

about 20 plus yearsQUANTITY

0.97+

about four yearsQUANTITY

0.96+

82QUANTITY

0.95+

first companyQUANTITY

0.95+

first hitQUANTITY

0.93+

first hitQUANTITY

0.92+

The CubesTITLE

0.92+

Angie Perez Thomas | Special Program Series: Women of the Cloud


 

(upbeat music) >> Hey everyone, welcome to theCUBE's special program series Women of the Cloud, brought to you by AWS. I'm your host, Lisa Martin. Very pleased to welcome Angie Perez Thomas the area sales leader from AWS as my next guest. Angie, welcome to theCUBE. It's great to have you here. >> I'm super excited. Thank you so much, Lisa. >> Of course. Talk to me a little bit about you a little bit about your role in sales at AWS. >> Yeah, absolutely. So I'm a tenure Amazonian so I've been with AWS for about 10 years here. And as you mentioned, I'm the area sales leader and so my team supports new enterprise customers and executives who are just starting their journey into the cloud. >> Talk a little bit about some of your career paths. Did you have a linear path? You said tenure Amazonian, linear path maybe more Zig-zaggy. I'd love to get some of your recommendations for those who may be early in their tech careers looking to grow their careers. What are some of the experiences that you've had that you think are have shaped your career? >> Yeah, absolutely. So, you know, mine have, I've gone back and forth through different roles, both in leadership and as an IC and I'd probably say I've got three recommendations for those looking to grow their career in technology. So the first one is prioritize your time to actually think about what career experiences you want in in your fullness of your career. And so this actually may look like sitting down reserving time to actually deep think about what are those experiences you're looking to gain but also doing research on other careers of those who may inspire you and kind of collecting those ideas. My second recommendation is around documenting, writing down those career aspirations and actually putting it within and memorializing it within a document. So I've applied Amazon's working backwards methodology myself and applied that on my career and writing my own career press release. And so it's dated in 2029. It's got a headline and you know, it's a physical document of my own career aspirations. And third, I recommend sharing this documentation with others. You know, I really enjoy receiving and reading what others are wanting to do with their career aspirations and helping provide feedback and guidance. And so what we find is people genuinely want to help others. >> I agree. I love your recommendations for really being mindful, being thoughtful about what it is that you want to do doing that research, and then actually documenting it. I think it's so wonderful that you're taking Amazon's working backward approach from the press release going this is where I want to be in five years or in 10 years. And then putting that on paper. I still connect a lot with things like you that you put down on paper that you want to accomplish or something about writing it down that actually helps to you bring it to fruition. And then to your point is great about sharing it with others that can be mentors, that can be sponsors. I'm sure you've had some great mentors and sponsors along your career path that have probably helped you pretty successful. >> Yeah, absolutely. It's been really an effective tool for communicating with those who have helped me navigate as well. >> Talk a little bit about some of the successes now we'll switch gears but we'll continue on the success train. Some of the successes that you've had helping organizations really navigate, migrate to the cloud and and become successful businesses as a result. >> Yeah, no, absolutely. So across my tenure at AWS, you know I've truly enjoyed working with our customer executives and helping them deliver on their business outcomes. And so just recently I met with the COO of a real estate firm here in the Pacific Northwest and the COO has an initiative to identify and modify home titles and deeds with decades old discriminatory language and restrictions. So, although not invisible, due to the Fair Housing Act of 1968, racial covenants they're still present in millions of home titles across the United States today. And so partnering with AWS and using our cloud technology, you know, our teams together were able to build an application that was able to where homeowners are able to look up their titles you know, analyze it for discriminatory language and be able to submit it for modification. And so this, you know, today it can be done manually, but partnering with AWS, our teams were able to address modifying titles and deeds at scale. And so it's truly incredible what cloud computing has enabled just all of us to accomplish together. And so I kind of think of it like this our a catalyst for change is our customers and AWS and our partners is the how to accelerate that change. So it's really this partnership >> I love that accelerating change is so important across so many aspects of life, but the example that you gave is so, it's such an interesting use case. I wouldn't think that there is discriminatory language in deeds for houses, but the fact that it's probably a pervasive problem globally and the ability to help organizations to be able to change that for the better with cloud, with automation at scale is huge. I can imagine that's a use case that can be replicated surely across the states and more. >> Yeah, it's definitely gained interest across with different real estate forms across the United States. So we're really excited to be partnering and having impact on this change. >> And it's also an example of tech for good. I mean, we talk about that all the time but the fact that there's discriminatory language and housing deeds is still kind of blows my mind. But and we've seen so much in tech in terms of diversity and equity and inclusion but from a diversity perspective there's still a lot more to do. I'd love to get your opinion on what you think some of the the present day challenges are with respect to diversity in tech and maybe some of the things you think can be changed to for the better. >> Yeah, so you know, there's been a huge focus on, you know hiring for diverse talent in the tech industry for a number of years. And where I think we as an industry have an opportunity is to improve in investing and developing in this diverse talent and try to really think about how are we building up the skillsets to build today's and tomorrow's leaders. And so when I think about this it requires senior leaders to be really intentional about building a diverse ecosystem of talent and investing in this diverse talent. And let me clarify a little bit when I talk about investing in diverse talent, you know, this expands outside of just mentoring. This includes sponsoring, coaching, really providing opportunities where this talent has the ability to have a seat at the table. Getting into the room where it all happens. And so by doing so we're helping this talent build their skillsets to learn what questions are being asked within, the room? How are others communicating with each other? So that they can build the skillset so not only have a seat at the table but can be really leading with that seat at the table. And I would say last, we as companies we tend to or you know, we in the industry, we tend to just focus on developing those within our companies. And where I see a need is to really challenge the industry to reach outside of our own companies in diverse talent. And so developing just that ecosystem because not just thinking about the roles that are open today but really building the skillsets for the roles and and senior level positions that are going to be open tomorrow and making sure we're developing this talent to raise their hand and be the leading candidate for those opportunities. >> I love how you said kind of really a couple things that you know, with all the women in this program that I've spoken to is a common theme in terms of diversity and it's really about senior leaders making investments. And another thing that you said that's spot on is doing it with intention. There's so much to be gained by having an intention with diversity, thought diversity. To your point, going outside, it sounds to me like kind of let's go outside of our comfort zones to bring in different thoughts, different perspectives be able to grow them in their career because of course technologies and products and solutions can only get better the more diversity of thought we have. >> Yeah, no, absolutely. It's really being intentional. We as senior leaders, we have a law on our plate. And so yes this is an additional thing to be thinking about but it really has impact and change in driving the right things both for our customers and for the industry as well. And so it's an investment that's worth making. >> And speaking of that investment worth making I liked how you said, let's have some forethought about what are some of the roles that are going to be there in the future. How are some of the roles today going to be evolving? How do you see your role evolving in the next few years? How do you see cloud evolving and what excites you about that? >> Yeah, well, cloud has really been helping our customers move faster and adapt to just the ever changing landscape. I mean it's over the last couple years it's been very real for all of us to see. And so my role has moved from just being an advisor to a CIO to actually being an advisor to both the CEO and board of directors and when they come speak to us, cost or cloud is not just about cost savings, it truly is about helping a CEO deliver on their business outcomes. So I'll give an example. We're working with a growing community bank and their executive team has embarked on a transformation to becoming a digital first bank. And so when we think about the economic factors that they're working with them to come to mind. The first, their move towards online banking has it's accelerated with the pandemic really creating that customer experience of which when you think about local banks, you think about community where everybody knows your name over in the brick and mortar down the road. Well they have to bridge that community and trust into the digital world. And second, they needed to improve on operational efficiencies. And so they have to strategically think about what investments they're going to make to balance inflation while driving growth. And so where I've been finding both myself and my teams is having a seat at the table with these executives, helping them make these strategic business decisions. And we know we're successful when our customers are able to deliver on those business outcomes. They meet those objectives, they exceed those objectives. And then we know we've just exceeded customer expectation when our partnership actually shows up in their next earnings call. You know, it's really special. >> Oh, I bet it is. I mean, being able to be that influential in terms of an organization's success I love how you talked about kind of a career evolution that your career has evolved from now you're really with the board of directors having a seat at the table there. My last question for you is kind of on that front Angie is what are some of the changes in in the tech workforce that you've seen the last few years and what are some of the things that you're excited about that are down the road? >> Yeah, so a couple things where I've really seen change and evolution has been in the leadership level. We are needing to lead with empathy and really think about inclusion as a cornerstone skillset. So for our customers, our partners, our employees we've really moved into this hybrid environment. We're both leaders and team norms. We're challenged to change. We have to adapt. And so really having inclusion as that foundational skillset is a requirement for both today and tomorrow's leaders. What I'm really excited about is on the innovation front. Anyone can innovate now, you don't need to be a part of the R&D division of a company. We're seeing that cloud is providing tools all the way down to the elementary student level. So when you think about that, just think the imagination of our youth, brought to life with cloud technology. I mean, the future really is bright. >> It is. That horizon is endless. And I'm going to take some of your advice, Angie I loved that you talked about from your own perspective and your recommendations for the audience. Write that down, write your own press release in terms of what you want to see down the road. I'm going to take your advice, I'm going to do that. I thank you so much for joining me on the program. You've been so inspiring. Your career path has been impressive. What you're seeing in terms of innovation and cloud coming next is incredibly exciting. Thank you so much for your time, Angie. >> Thank you Lisa. >> For Angie Perez Thomas. I'm Lisa Martin. You're watching theCUBE's special program series Women of the Cloud, brought to you by AWS. We'll see you soon. (upbeat music)

Published Date : Feb 9 2023

SUMMARY :

Women of the Cloud, brought to you by AWS. Thank you so much, Lisa. Talk to me a little bit about you And as you mentioned, What are some of the experiences to do with their career aspirations And then to your point is great for communicating with those Some of the successes that you've had and the COO has an initiative to identify and the ability to help and having impact on this change. and maybe some of the things the industry to reach There's so much to be gained and for the industry as well. that are going to be there in the future. And so they have to that are down the road? We are needing to lead with empathy And I'm going to take Women of the Cloud, brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
AngiePERSON

0.99+

Lisa MartinPERSON

0.99+

AWSORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Angie Perez ThomasPERSON

0.99+

LisaPERSON

0.99+

United StatesLOCATION

0.99+

Pacific NorthwestLOCATION

0.99+

five yearsQUANTITY

0.99+

Fair Housing Act of 1968TITLE

0.99+

10 yearsQUANTITY

0.99+

thirdQUANTITY

0.99+

2029DATE

0.99+

secondQUANTITY

0.99+

tomorrowDATE

0.99+

Women of the CloudTITLE

0.99+

bothQUANTITY

0.99+

todayDATE

0.99+

firstQUANTITY

0.98+

theCUBEORGANIZATION

0.98+

about 10 yearsQUANTITY

0.98+

first bankQUANTITY

0.98+

first oneQUANTITY

0.97+

Jeanette Barlow | Special Program Series: Women of the Cloud


 

(bright, upbeat music) >> Hello, brilliant humans and welcome to this special programming on theCUBE featuring Women of the Cloud, brought to you by AWS. My name is Savannah Peterson, and I am very excited to be joined by a brilliant woman both in supply chain as well as digital transformation. Please welcome Jeanette Barlow, VP of Product at Instacart. Jeanette, thank you so much for joining us from Boston today. How you doing? >> Thank you. I'm doing well, thank you. And thank you to the Amazon team for letting me join you. I'm excited to participate in this. I think it's such an important topic to learn all about how as women we're helping shape the future of business, supply chain, consumer experiences. So thank you very much. >> That's fantastic to have you and to be really celebrating women of the cloud properly. To start us off, how long, let's just, let's run with this. How long have you been a woman of the cloud? (Jeanette and Savannah laugh) >> Oh, probably since there, before there was a cloud, actually I have spent my entire career in enterprise technology and I spent nearly 25 years actually with IBM. And, you know, I remember when the internet really took off as far as a highly accessible thing and then the very beginnings of e-commerce where it was really the wild west and it was such a different experience than you get now. And I've been very fortunate throughout that journey to have a variety of roles from sales, marketing, communications. I eventually landed in product management and that's pretty much where I stayed. >> Savannah: At least for now. >> At least for now. >> Sounds like you're very curious. I can tell that you are a very curious person. Since you've been around for what I would consider a, an impressive period of time in an industry, especially when there were not a ton of women to reference or receive mentorship from, what was the initial catalyst or spark or inspiration for you to pursue a career in technology? >> I'll be really honest, getting out of college with college debt, money. (Savannah laughs) The best salary, I'm not going to sugarcoat that but once I landed there, it just was so amazing how technological advance advances were fundamentally changing the way businesses would work or how humans could get things done. And that whole, my whole career trajectory has been very much working at the forefront of new areas whether that be collaboration, software or supply chain which is, obviously we're all well aware, such a deep and important area and even low-code workflow automation before I came to Instacart. >> I love the transparency there. It's a indicator of a great leader and that level of authenticity. Were there any hurdles that you felt you had to overcome in the beginning or was the curiosity enough to power through the initial first few years that are always tough for anyone, no matter their gender or career? >> I think I was a very fortunate person. I do want to say that, sure, there are a lot of long hours and I often felt that I had to be more prepared, maybe than some of my colleagues that were men back, way back in the day. But I had the very good fortune of working for companies throughout my history that really believed in an equitable and respectful workplace. And I had wonderful mentors, both women and men, along the way who really were there to help develop talent. So I never felt that I had sort of a glass ceiling. I definitely felt that I had to to sit there and assert a point of view, at times. >> Savannah: Mm-Hm. >> But, I've seen this whole industry and space change and it's not just gender, but also racial backgrounds educational backgrounds, that neurodiversity I'm now seeing much greater respect for listening to that chorus of voices because we do get better, much better outcomes that way. >> Absolutely. I couldn't agree more and I'm happy to hear that you've been supported along your journey. I think the industry can definitely get a bad rap and there are a lot of people paving the way for us. I want to talk a little bit about supply chain because I don't know about you, but for me I don't think there were as many people talking about the industry and probably what you do, say four years ago, as are now. How did you find your way into supply chain and what is it about helping that be more efficient that excites you? >> Yes. There's nothing like a shortage of toilet paper to get people to. (Savannah laughs) Or to understand what supply chain means. And I, as tough as those times were, especially at the beginning of the pandemic and the uncertainty, it was so exciting for those of us in supply chain because suddenly people got what we did like- >> Savannah: Mm-Hm. >> And they were interested in hearing about it. So I really, I really have, we did enjoy that. I got exposed to that because ultimately I served as the Vice President of Product Management and Strategy for IBM, Sterling Supply Chain which was a very large brand within the IBM portfolio, serving over 10,000 clients worldwide, really focused on their omnichannel order management and their other supply chain processes around order to cash, procure to pay, logistics and things like that. And when you start to learn about the intricacies and that choreography needed across so many players in the value chain, it's an absolutely fascinating puzzle. And- >> Savannah: Yeah. >> Often the further away from the consumer experience you got, the more analog it became. And so the opportunity to start to digitize and transform that was really something that was very, very intriguing. And now here at Instacart, the opportunity to sort of parlay that into one of probably the most complex supply chains that there are, grocery, food just adds another level- >> Yeah. >> Of excitement intrigue to the work. >> I can only imagine there are, I'm just thinking about it right now. I'm not sure there are many supply chains, if any that touch as many lives as food does, as, I mean so is that what brought you, you joined Instacart relatively recently if I'm not mistaken, within the last year. Is that what brought you to them? Was the complexity of that global challenge? >> Absolutely. That was definitely the start of it, was so intriguing to me to see, to, the more I learned about Instacart when they approached me was also they're really changing an industry that's been very static for many, many years, right? And they're fundamentally reshaping that industry. One that's, as you said, is crucial to the everyday lives of pretty much everyone. And I was intrigued by that. But I was also intrigued by the breadth at which they're approaching this, not just the marketplace, but how we are helping retailers through our Instacart platform actually reach their consumers in ways that they like to shop whether it's online or in the store. We are also very, very committed to not just serving from a convenience standpoint, but actually improving access to healthy and nutritious food for as many people as might need that. So it just, core to the complexity of the problem the criticality of it, but also just frankly speaking to the core of who Instacart is as a company, I, it just felt like it was like a culmination of a lot of things to have this opportunity to work here. >> Sounds like a fantastic opportunity. I want to dive a little bit deeper into the technology side there. How is Instacart's technology helping grocers with varying levels of scale and geographical challenges and I'm sure a variety of other things and even a digital skillset. How are you helping them navigate their digital transformation? >> You know, this is probably one of the sectors that lags behind other retail sectors as far as digital transformation. And when the progress that's been made over the last four years is tremendous. And the road ahead is still before us is still a long way to go. I mean Instacart built the world's largest grocery marketplace, if you want to think about that. And so we have more than 10 years of experience in understanding the complexity of that. With, again a supply chain that is very, very complex. So last spring we announced the Instacart platform as a way of really putting a name to a lot of work we were already doing. And it's all about opening up the capability and the technology that we have to help grocers reach their customers directly as well as through our marketplace. So we help grocers like Publix, Wegmans, The Fresh Market just hundreds of grocers build out their own storefronts, their own mobile apps and that we are actually powering for them. We help them create some very unique fulfillment models that might serve customers or be new market opportunities. Certainly we have the traditional full service shop, but we also have virtual convenience that can enable delivery in minutes. And in certain geographies and demographics, that's, you know, really important. We are even going in the store with our connected stores technologies that we announced earlier this year, and that is everything from smart cards to scan and pay to wayfinding that it just, it's a lot of very interesting work we're doing and we're very, very fortunate to be able to partner with some of the best and brightest grocery retailers out there as well as retailers and other verticals as well. But grocery store is sort of our core. >> Yeah, I can only imagine some of the conversations that you have and the user behaviors that you get to learn about as people are on their food journey. You teased a little bit there about what's coming next. What else do you think is in our food future? >> Well, I think, you know, the pandemic pushed the grocery industry to get online to start to digitally transform itself, but we believe it's not an either or. There are virtually no one that's exclusively online and we know more and more there's no one that's exclusively you know, only in the store. We really expect to have that blend and I think as long as we're very, very savvy about understanding the, our retailers' needs as well as their customers' needs on how they can really traverse seamlessly between whether they're online or in store, how they can have an engaging experience that's consistent to the brand of the retailer. >> Savannah: Mm-Hm. >> How they can be rewarded for their loyalty. How they can be encouraged to try new things and just have a much more engaging experience with that grocer because food is a very emotional sort of buy, right? I mean, it's a very sensory rich. And so how- >> Sort of? I think you can go ahead and just make that claim. Just for a lot of people, yeah, yeah. We'll endorse that. >> You're right, yeah, it is. Right, we're passionate about our brand of this or that or we want to touch or smell or do things like that. So there's a tremendous amount of innovation you get online, like personalization and other things that you don't get when you get, you walk into the store, everybody's got the same end cap like I see the same end cap as you see and we might be very different. And then vice versa. I get a very much a sensory experience when I'm in the store, right? That I don't have, how do we blend that? And so there's some really interesting things that we're working on with our retail partners to embrace that omnichannel approach. So we create that flywheel of experience and innovation between the two. So I think you're going to see a lot more focus on an omnichannel experience that traverses between the on and the in, online and the in-store. >> Yeah, I, so I love this because you know, we, there's a continued debate around remote and in-person, working remote and in-person events, but it sounds like hybrid is here to stay when it comes to food and and how we eat, which is very exciting. Last question for you, Jeanette. What would you say to someone, a woman of any age who is looking at this video or maybe dreaming about a career in cloud technology? What's your moment of inspiration? >> You know, I think my best advice is all, you know, stay curious. Just be in love with not even just the technology for technology's sake, but what the technology can unlock as far as an experience and focus on building those experiences. Not only for your direct customer in my case, retailers, grocers, but for their customer. Trying to understand that. And I think if you can connect those dots, you know the cloud is the limit, let's put it that way. (Jeanette and Savannah laugh) >> I'll take it upon that. I love that. Jeanette Barlow, thank you so much for joining us. The team at Instacart is lucky to have you. And thank you to our audience for joining us for this special program on theCUBE featuring Women of the Cloud. My name is Savannah Peterson and I look forward to celebrating more brilliant women like Jeanette with you all soon. (upbeat, happy music)

Published Date : Feb 9 2023

SUMMARY :

Cloud, brought to you by AWS. And thank you to the Amazon That's fantastic to have you and it was such a different I can tell that you are the way businesses would work and that level of authenticity. But I had the very good fortune for listening to that chorus of voices and there are a lot of and the uncertainty, it was I got exposed to that that into one of probably the Is that what brought you to them? of a lot of things to have How are you helping them and that we are actually of the conversations that you have brand of the retailer. and just have a much and just make that claim. like I see the same end cap as you see but it sounds like hybrid is here to stay And I think if you can and I look forward to celebrating

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JeanettePERSON

0.99+

Savannah PetersonPERSON

0.99+

Jeanette BarlowPERSON

0.99+

SavannahPERSON

0.99+

IBMORGANIZATION

0.99+

Savannah PetersonPERSON

0.99+

BostonLOCATION

0.99+

AmazonORGANIZATION

0.99+

WegmansORGANIZATION

0.99+

InstacartORGANIZATION

0.99+

AWSORGANIZATION

0.99+

PublixORGANIZATION

0.99+

last yearDATE

0.99+

todayDATE

0.99+

twoQUANTITY

0.99+

more than 10 yearsQUANTITY

0.99+

bothQUANTITY

0.99+

ibmORGANIZATION

0.98+

more than 10 yearsQUANTITY

0.98+

The Fresh MarketORGANIZATION

0.98+

over 10,000 clientsQUANTITY

0.98+

pandemicEVENT

0.98+

four years agoDATE

0.98+

earlier this yearDATE

0.98+

last springDATE

0.97+

oneQUANTITY

0.97+

nearly 25 yearsQUANTITY

0.97+

nearly 25 yearsQUANTITY

0.96+

four years agoDATE

0.96+

Sterling Supply ChainORGANIZATION

0.96+

Women of the CloudTITLE

0.9+

hundreds of grocersQUANTITY

0.84+

SterlingORGANIZATION

0.82+

first few yearsQUANTITY

0.8+

last four yearsDATE

0.75+

Women of the CloudTITLE

0.74+

Vice PresidentPERSON

0.71+

Tendu Yogurtcu | Special Program Series: Women of the Cloud


 

(upbeat music) >> Hey everyone. Welcome to theCUBE's special program series "Women of the Cloud", brought to you by AWS. I'm your host for the program, Lisa Martin. Very pleased to welcome back one of our alumni to this special series, Dr. Tendu Yogurtcu joins us, the CTO of Precisely. >> Lisa: Tendu, it's great to see you, it's been a while, but I'm glad that you're doing so well. >> Geez, it's so great seeing you too, and thank you for having me. >> My pleasure. I want the audience to understand a little bit about you. Talk to me a little bit about you, about your role and what are some of the great things that you're doing at Precisely. >> Of course. As CTO, my current role is driving technology vision and innovation, and also coming up with expansion strategies for Precisely's future growth. Precisely is the leader in data integrity. We deliver data with trust, with maximum accuracy, consistency, and also with context. And as a CTO, keeping an eye on what's coming in the business space, what's coming up with the emerging challenges is really key for me. Prior to becoming CTO, I was General Manager for the Syncsort big data business. And previously I had several engineering and R&D leadership roles. I also have a bit of academia experience. I served as a part-time faculty in computer science department in a university. And I am a person who is very tuned to giving back to my community. So I'm currently serving as a advisory board member in the same university. And I'm also serving as a advisory board member for a venture capital firm. And I take pride in being a dedicated advocate for STEM education and STEM education for women in particular, and girls in the underserved areas. >> You have such a great background. The breadth of your background, the experience that you have in the industry as well in academia is so impressive. I've known you a long time. I'd love the audience to get some recommendations from you. For those of the audience looking to grow and expand their careers in technology, what are some of the things that you that you've experienced that you would recommend people do? >> First, stay current. What is emerging today is going to be current very quickly. Especially now we are seeing more change and change at the increased speed than ever. So keeping an eye on on what's happening in the market if you want to be marketable. Now, some of the things that I will say, we have shortage of skills with data science, data engineering with security cyber security with cloud, right? We are here talking about cloud in particular. So there is a shortage of skills in the emerging technologies, AI, ML, there's a shortage of skills also in the retiring technologies. So we are in this like spectrum of skills shortage. So stay tuned to what's coming up. That's one. And on the second piece is that the quicker you tie what you are doing to the goals of the business, whether that's revenue growth whether that's customer retention or cost optimization you are more likely to grow in your career. You have to be able to articulate what you are doing and how that brings value to business to your boss, to your customers. So that becomes an important one. And then third one is giving back. Do something for the women in technology while being a woman in technology. Give back to your community whether that's community is gender based or whether it's your alumni, whether it's your community social community in your neighborhood or in your country or ethnicity. Give back to your community. I think that's becoming really important. >> I think so too. I think that paying it forward is so critical. I'm sure that you have a a long list of mentors and sponsors that have guided you along the way. Giving back to the community paying it forward I think is so important. For others who might be a few years behind us or even maybe have been in tech for the same amount of time that are looking to grow and expand their career having those mentors and sponsors of women who've been through the trenches is inspiring. It's so helpful. And it really is something that we need to do from a diversity perspective alone, right? >> Correct. Correct. And we have seen that, we have seen, for example Covid impact in women in particular. Diverse studies done by girls who quote on Accenture that showed that actually 50% of the women above age 35 were actually dropping out of the technology. And those numbers are scary. However, on the other side we have also seen incredible amount of technology innovation during that time with cloud adoption increasing with the ability to actually work remotely if you are even living in not so secure areas, for example that created more opportunities for women to come back to workforce as well. So we can turn the challenges to opportunities and watch out for those. I would say tipping points. >> I love that you bring up such a great point. There are so, so the, the data doesn't lie, right? The data shows that there's a significant amount of churn for women in technology. But to your point, there are so many opportunities. You mentioned a minute ago the skills gap. One of the things we talk about often on theCUBE and we're talking about cybersecurity which is obviously it's a global risk for companies in every industry, is that there's massive opportunity for people of, of any type to be able to grow their skills. So knowing that there's trend, but there's also so much opportunity for women in technology to climb the ladder is kind of exciting. I think. >> It is. It is exciting. >> Talk to me a little bit about, I would love for the audience to understand some of your hands-on examples where you've really been successful helping organizations navigate digital transformation and their entry and success with cloud computing. What are some of those success stories that you're really proud of? >> Let me think about, first of all what we are seeing is with the digital transformation in general, every single business every single vertical is becoming a technology company. Telecom companies are becoming a technology company. Financial services are becoming a technology company and manufacturing is becoming a technology company. So every business is becoming technology driven. And data is the key. Data is the enabler for every single business. So when we think about the challenges, one of the examples that I give a big challenge for our customers is I can't find the critical data, I can't access it. What are my critical data elements? Because I have so high volumes growing exponentially. What are the critical data elements that I should care and how do I access that? And we work at Precisely with 99 of Fortune 100. So we have two 12,000 customers in over a hundred countries which means we have customers whose businesses are purely built on cloud, clean slate. We also have businesses who have very complex set of data platforms. They have financial services, insurance, for example. They have critical transactional workloads still running on mainframes, IBM i servers, SAP systems. So one of the challenges that we have, and I work with key customers, is on how do we make data accessible for advanced analytics in the cloud? Cloud opens up a ton of open source tools, AI, ML stack lots of tools that actually the companies can leverage for that analytics in addition to elasticity in addition to easy to set up infrastructure. So how do we make sure the data can be actually available from these transactional systems, from mainframes at the speed that the business requires. So it's not just accessing data at the speed the business requires. One of our insurance customers they actually created this data marketplace on Amazon Cloud. And the, their challenge was to make sure they can bring the fresh data on a nightly basis initially and which became actually half an hour, every half an hour. So the speed of the business requirements have changed over time. We work with them very closely and also with the Amazon teams on enabling bringing data and workloads from the mainframes and executing in the cloud. So that's one example. Another big challenge that we see is, can I trust my data? And data integrity is more critical than ever. The quality of data, actually, according to HBR Harvard Business Review survey, 47% of every new record of data has at least one critical data error, 47%. So imagine, I was talking with the manufacturing organization couple of weeks ago and they were giving me an example. They have these three letter quotes for parts and different chemicals they use in the manufacturing. And the single letter error calls a shutdown of the whole manufacturing line. >> Wow. >> So that kind of challenge, how do I ensure that I can actually have completeness of data cleanness of data and consistency in that data? Moreover, govern that on a continuous basis becomes one of the use cases that we help customers. And in that particular case actually we help them put a data governance framework and data quality in their manufacturing line. It's becoming also a critical for, for example ESG, environment, social and governance, supply chain, monitoring the supply chain, and assessing ESG metrics. We see that again. And then the third one, last one. I will give an example because I think it's important. Hybrid cloud becoming critical. Because there's a purest view for new companies. However, facilitating flexible deployment models and facilitating cloud and hybrid cloud is also where we really we can help our customers. >> You brought up some amazingly critical points where it comes to data. You talked about, you know, a minute ago, every company in every industry has to become a technology company. You could also say every company across every industry has to become a data company. They have to become a software company. But to your point, and what it sounds like precisely is really helping organizations to do is access the data access data that has high integrity data that is free of errors. Obviously that's business critical. You talked about the high percentage of errors that caused manufacturing shutdown. Businesses can't, can't have that. That could potentially be life-ending for an organization. So it sounds like what you're talking about data accessibility, data integrity data governance and having that all in real time is table stakes for businesses. Whether it's your grocery store, your local coffee shop a manufacturing company, and e-commerce company. It's table stakes globally these days. >> It is, and you made a very good point actually, Lisa when you talked about the local coffee shop or the retail. One other interesting statistic is that almost 80% of every data has a location attribute. So when we talk about data integrity we no longer talk about just, and consistency of data. We also talk about context, right? When you are going, for example, to a new town you are probably getting some reminders about where your favorite coffee shop is or what telecom company has an office in that particular town. Or if you're an insurance company and a hurricane is hitting southern Florida. Then you want to know how the path of that hurricane is going to impact your customers and predict the claims before they happen. Also understand the propensity of the potential customers that you don't yet have. So location and context, those additional attributes of demographics, visitations are creating actually more confident business insights. >> Absolutely. And and as the consumer we're becoming more and more demanding. We want to be able to transact things so easily whether it's in our personal life at the grocery store, at that cafe, or in our business life. So those demands from the customer are also really influencing the direction that companies need to go. And it's actually, I think it's quite exciting that the amount of personalization the location data that you talk about that comes in there and really helps companies in every industry deliver these the cloud can, these amazing, unique personalized experiences that really drive business forward. We could talk about that all day long. I have no problem. But I want to get in our final minutes here, Tendu. What do you see as in your crystal ball as next for the cloud? How do you see your role as CTO evolving? >> Sure. For what we are seeing in the cloud I think we will start seeing more and more focus on sustainability. Sustainable technologies and governance. Obviously cloud migrations cloud modernizations are helping with that. And we, we are seeing many of our customers they started actually assessing the ESG supply chain and reporting on metrics whether it's the percentage of face or energy consumption. Also on the social metrics on diversity age distribution and as well as compliance piece. So sustainability governance I think that will become one area. Second, security, we talked about IT security and data privacy. I think we will see more and more investments around those. Cybersecurity in particular. And ethical data access and ethics is becoming center to everything we are doing as we have those personalized experiences and have more opportunities in the cloud. And the third one is continued automation with AI, ML and more focus on automation because cloud enables that at scale. And the work that we need to do is too time-intensive and too manual with the amount of data. Data is powering every business. So automation is going to be an increased focus how my role evolves with that. So I have this unique combination. I have been open to non-linear career paths throughout my growth. So I have an understanding of how to innovate and build products that solve real business problems. I also have an understanding of how to sell them build partnerships that combined with the the scale of growth, the hyper growth that we have absorbed in precisely 10 times growth within the last 10 years through a combination of organic innovation and acquisitions really requires the speed of change. So change, implementing change at scale as well as at speed. So taking those and bringing them to the next challenge is the evolution of my role. How do I bring those and tackle keep an eye on what's coming as a challenge in the industry and how they apply those skills that I have developed throughout my career to that next challenge and evolve with it, bring the innovation to data to cloud and the next challenge that we are going to see. >> There's so much on the horizon. It's, there are certainly challenges, you know within technology, but there's so much opportunity. You've done such a great job highlighting your career path the, the big impact that you're helping organizations make leveraging cloud and the opportunity that's there for the rest of us to really get in there get our hands dirty and solve problems. Tendu, I always love our conversations. It's been such a pleasure having you back, back on theCUBE. Thank you for joining us on this special program series today. >> Thank you Lisa. And also thanks to AWS for the opportunity. >> Absolutely. This is brought, brought to us by AWS. For Dr.Tendu, you are good to go. I'm Lisa Martin. You're watching theCUBE special program series Women of the Cloud. We thank you so much for watching and we'll see you soon. (upbeat music)

Published Date : Feb 9 2023

SUMMARY :

"Women of the Cloud", Lisa: Tendu, it's great to see you, and thank you for having me. are some of the great things coming in the business space, I'd love the audience to get that the quicker you I'm sure that you have a a long list that showed that actually 50% of the women One of the things we talk about often It is exciting. for the audience to And data is the key. And in that particular You talked about the and predict the claims before they happen. And and as the consumer the innovation to data for the rest of us to really get in there for the opportunity. Women of the Cloud.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

AWSORGANIZATION

0.99+

TenduPERSON

0.99+

AmazonORGANIZATION

0.99+

PreciselyORGANIZATION

0.99+

10 timesQUANTITY

0.99+

Tendu YogurtcuPERSON

0.99+

50%QUANTITY

0.99+

LisaPERSON

0.99+

second pieceQUANTITY

0.99+

47%QUANTITY

0.99+

half an hourQUANTITY

0.99+

IBMORGANIZATION

0.99+

Women of the CloudTITLE

0.99+

SyncsortORGANIZATION

0.99+

third oneQUANTITY

0.99+

oneQUANTITY

0.99+

FirstQUANTITY

0.99+

SecondQUANTITY

0.99+

three letterQUANTITY

0.99+

AccentureORGANIZATION

0.99+

one exampleQUANTITY

0.99+

OneQUANTITY

0.99+

HBRORGANIZATION

0.98+

todayDATE

0.98+

one areaQUANTITY

0.97+

over a hundred countriesQUANTITY

0.97+

almost 80%QUANTITY

0.96+

southern FloridaLOCATION

0.96+

Sherry Karamdashti | Special Program Series: Women of the Cloud


 

(bright music plays) >> Welcome to theCUBE's Special Program Series: Women of the Cloud, brought to you by AWS. I'm your host, Lisa Martin. Very pleased to welcome our next guest, Sherry Karamdashti, sales director at AWS Startups. Sherry, welcome to the program. It's great to have you today. >> Thanks for having me, Lisa. >> Tell me a little bit about you, a little bit about your role at AWS Startups. >> Great. Yes, um, I run the startup sales in the US uh, for AWS. I've joined AWS really early in the cloud journey, um, that was in 2013, so I'm almost 10 years there, all in sales leadership. So I've been able to work with really amazing customers, mostly, you know, startups in the beginning cause those were our predominantly original customers. And now obviously going to, the business has grown to, you know, other enterprises and, and really have seen some great things in my 10 year journey. >> Lisa: So you're almost a 10 year Amazonian. Congratulations on your impending anniversary. Talk to me a little bit about your career path. Did you always know you wanted to be in tech? Did you get into tech from a different field? What does that look like? >> Yeah, yes. I was always interested in technology. I was a electrical engineer in my undergrad and I pretty much quickly realized I didn't want to write code or, you know, design integrated circuits. There really wasn't an internet back then. I think the engineering students had emails but we emailed each other, nobody else had them. And I just got into a program actually at Intel and it was a technical sales program and so they recruited folks, engineering students, put us through some rotations and various um, reps. And then we rolled out to the field and I became a sales, technical sales person. >> Got it. So you were a EE from the start, kind of always knew you wanted to be in tech but then now as a sales leader, talk to me a little bit about that path and what are some of your recommendations for people that might be starting out in tech or interested and don't really know how to navigate their career? >> Yeah, I think, you know, I think for me I was a little bit of luck and timing and you know, some intelligence of picking the right path. And I think really just around your skill sets, right? And I had a technical background, I was a people person. Relationships and connections were something that were important to me. And really just figuring out kind of how to match your skill sets to what you, what you actually enjoy doing. You know, again, I wasn't looking for a career in sales leadership but it was definitely something I quickly embraced. You know, I enjoy developing people, working with our customers to help them solve their challenges and various technology companies I've worked for. And as far as navigating, I think having, I always tell people, do the best job you can in your current role and be looking at what you want next. Because I have a lot of people that come to me and say, I want to do this next. And I'm like, well, you have to really be doing excellent in what you're doing today, so that you get to have supporters and allies to help sponsor you in other, other things. >> Absolutely. Mentors and sponsors are so critical. Often when I ask people this question, they talk about things like, raise your hand, ask a question. Let me pay attention to your point about the things that you're interested in and start navigating a pathway that way. But also the importance of having mentors, having sponsors who you can share your ideas with, share your dreams with is also something that I think is quite helpful for those that are navigating maybe early in their tech careers or maybe they're midway through and there's a change they want to make but they just aren't aware of what else is out there. >> Sherry: Yep, absolutely. And I think I've been really lucky to have some great allies and mentors along the way. >> So you've had some great successes. I want to now kind of pivot to understanding some of the successes that you've had, where you've helped customers internally, externally solve problems where it's related to cloud. >> Yeah, I mean, yeah, so, you know, for 10 years I've been doing that, you know, early in my career, like I thought it was, most of our customers were startups and it was really a great place to be because AWS at the time, very early helped democratize access to the cloud, right? And so there were these startups who didn't have a lot of capital or people. And so it helped bring that flexibility and agility to startups that maybe, you know, most enterprises have the resources to do. And you know, and I, throughout my career, I've worked with really interesting companies. Right now I've just met with the CEO, Jill Stelfox at Panzura who really outlined, you know, why AWS is great and what, what it's helped, how it had helped them achieve things. And it's really, her thing is that AWS is really helps them build and deploy at scale so that they're able to reach their customer, you know, more broadly. And it really helps them with the backend functions like deploying products, you know, maintaining that security and these user controls that become part of the AWS solutions, so they don't have to worry about it. You know, I've had interesting startups that are embracing machine learning in various ways, right? They, I had an autonomous vehicle startup that uses the advanced driving, the assisted driving system to predict and, you know, whether it's, you know, changing lanes or helping, you know, automate those things and they want to make sure that they provide reliability to their car manufacturers. And there's many, many others, you know, in the healthcare industry that we've helped bring really, ultimately helping them deploy and so that they can innovate and bring market, bring products to market faster. >> That's what it's all about. Innovation, being able to bring products to market faster, being able to pivot quickly when change happens. I literally just today saw that interview that Jill did from Panzura on AWS and the relationship there. I've got a number of friends who've just starting their, their new jobs at Panzura. So it's so great to see just the tech ecosystem being so intertwined and interconnected. I love that so much. I want to understand now from your perspective, switching gears a bit, talking about diversity thought diversity, diversity of people, what, you know, we talk about this Sherry, so often intact DE&I is, it's a very prominent topic of conversation but there's still some challenges there. Talk to me about some of the things that you've seen with respect to diversity that are still challenges present and what are some of your recommendations for organizations to employ to get some of those challenges scraped out of the way? >> Yeah, I mean, I was an engineer and you know, (laughs) in the early nineties, engineering student in the early nineties. So I was the one of 10 females in my, in my, in my school, in my degree area. So, you know, being underrepresented was nothing new. And I wish that we weren't here talking about that, right? It's like, it doesn't matter if I'm a female tech leader, I'm just a tech leader, but we're not quite there yet, right? And, and I think maybe in the next generation can have that luxury and that we have to do that, you know, make that investment and effort today, so that we are helping the path. Now I tell people, you know, you have to, it takes time, right? You can't just go and say, "I'm going to hire a tech sales leader", right? And I started very early and developed my career there. So you have to invest and give yourself time to help develop, you know, underrepresented folks. And ultimately, I think you have to be intentional and you have to, you know, focus on, you know, maybe looking or having different criteria that maybe you haven't typically had, to bring that diverse perspective. Because if you're always looking for the same thing, that's what you'll get. And so I encourage my leaders at their hiring and recruiting to really, you know, look at one developing the pipeline of candidates, right? To bring on board, but also be open to, you know, the profile or the skill sets and things that they're looking for. >> You hit on three things there, Sherry, in all the interviews for this series that I've done, I'm hearing consistently where it comes to diversity, it's the investment that organizations need to make. It's the intention that organizations and leaders need to have and finding that talent. And it's the, the ability to be open-minded to looking for different thoughts, different skills, maybe going outside of the comfort zone to bring in diverse perspectives. So I love what you just said. It very much aligns with all the female leaders that we've been talking to in terms of this is what's needed next to make diversity, to actually bring diversity to life throughout organizations and not just have it as a talking point on an agenda. >> Yep, absolutely. And yeah, and honestly like I, my team is, I take pride in having a very diverse team. I have a very gender diverse team, and I would say it was intentional, but sometimes it's not. (laughs) So. >> Lisa: No, that's true. >> Right? And sometimes it's, you know, people gravitate towards, you know, female leaders, so they want to come work for me but also really it's just we have to create an environment where different people want to come in and feel like they can, you know, have a voice and contribute and grow, you know, in their career. >> Absolutely. People need to see what they can be, be able to feel that I'm going to be included in this conversation. I can raise my hand, I can ask a question. That's not a stupid question, it's probably a question that many other people in the room or on, on the virtual meeting have as well. So that, that ability to bring that diversity and that inclusion into roles whether it's we're talking about AI, machine learning, cloud is so important and it really will impact the direction that we go in. And so, for example, impact the direction that cloud goes in, in terms of how cloud's going to evolve, how your role is going to evolve. What are some of the things that you see there in terms of the next steps in cloud and in your role? >> Yeah, I think really, you know, in my role in dealing with various customers, I think succeeding with data in today's world really requires taking an end to end view. For organization today, people are drowning in their data and don't how to make, use it to make decisions. And we are, we are seeing an intersection of data and machine learning and analytics and databases. So I think we, um, all have to get, uh, smart about it and, you know, help our customers, you know, work their way through this journey. >> It is a journey and you know, every company these days has to be a data company. They've got to be a tech company, they have to be a software company, however you want to describe it but data is gold to an organization and I always think it's whether it's my grocery store or a retailer or a manufacturer or an automotive company, they have to be able to glean insights from data as quickly as possible to make business decisions that push their businesses forward. So that's one of the things that I love is that every company these days has to be a data company but they have to have the right tools, the right people, the right processes in place to be able to extract that value so that they can jump ahead of their competition. >> Exactly. And it's a competitive need. So I think that's, that's our job, that's our next, next big role is to help our, help our customers, you know, align that journey. >> Absolutely and be successful. Last question for you is if you look back over the last three to five years, what are some of the biggest changes in tech, in the tech workforce that you've seen and in innovation and what excites you about the direction that we're going in? >> Yeah, you know, I meet with startup founders and you know, you read their backgrounds or you get to know them and, you know, there were some engineering student at, you know, X, Y, Z and I was like, what if I were an engineer like five years ago? What could I have accomplished, right? So I am seeing this evolution of, you know, things or problems that are, smart people are solving whether it's machine learning like you said, whether it's biosciences. And so, you know, I'm really seeing things coming out of universities, like research things that are really coming to light and solving real world problems. So, so that's a big trend, right? When I, when I was a, you know, when I, in the, you know, years ago, I know you couldn't do much with, you know, satellite or telecommunications like you can with some of the topics that are coming out of school now. I'm also seeing investment in early talent. So, you know, companies that, you know, like you said, you, you know, you're finding really great experienced smart people. So you know, AWS, you know, on the sales and solution architect team, you know, we are investing in early, early talent, in early career talent. So, you know, and they're accomplishing great things. So I'm seeing companies like AWS embrace that a lot more. >> I love that, investing early in talent is so going to be so beneficial to companies in every industry. I'm excited, as are you, to see what happens in the future with that so much potential. So much potential. Sherry, thank you so much for joining me on the program today, talking about what your role is, what you're doing, how you've been helping organizations succeed with cloud, what you see coming down the road and your recommendations for organizations to be more diverse. We so appreciate your time and your insights. >> It was my pleasure. Thank you. >> Excellent. For Sherry Karamdashti, I'm Lisa Martin. You're watching theCUBE's Special Program Series: Women of the Cloud, brought to you by AWS. Thanks for watching. (soft music plays)

Published Date : Feb 9 2023

SUMMARY :

Women of the Cloud, brought to you by AWS. a little bit about your mostly, you know, Did you always know you or, you know, design integrated circuits. So you were Yeah, I think, you know, I think Let me pay attention to your point and mentors along the way. of the successes that you've had, to predict and, you know, of people, what, you know, and recruiting to really, you know, look So I love what you just and I would say it was intentional, And sometimes it's, you know, that I'm going to be included and, you know, help our customers, It is a journey and you know, you know, align that journey. and in innovation and what excites you And so, you know, I'm really what you see coming down the It was my pleasure. Women of the Cloud, brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

LisaPERSON

0.99+

AWSORGANIZATION

0.99+

Sherry KaramdashtiPERSON

0.99+

Sherry KaramdashtiPERSON

0.99+

SherryPERSON

0.99+

Jill StelfoxPERSON

0.99+

2013DATE

0.99+

10 yearQUANTITY

0.99+

IntelORGANIZATION

0.99+

10 yearsQUANTITY

0.99+

JillPERSON

0.99+

Women of the CloudTITLE

0.99+

todayDATE

0.99+

five years agoDATE

0.99+

10 femalesQUANTITY

0.99+

USLOCATION

0.99+

oneQUANTITY

0.99+

PanzuraORGANIZATION

0.98+

AWS StartupsORGANIZATION

0.95+

almost 10 yearsQUANTITY

0.95+

five yearsQUANTITY

0.9+

Tia Dubuisson | Special Program Series: Women of the Cloud


 

(upbeat music) >> Welcome to this special program series by theCUBE, "Women of the Cloud", brought to you by AWS. I'm your host, Lisa Martin. Very pleased to welcome my next guest, Tia Dubuisson, president, co-founder of Belle Fleur Technologies. Tia, welcome to the program. It's great to have you. >> Thank you so much, Lisa. I'm very happy to be here, thank you. >> Tell me a little bit about you, a little bit about Belle Fleur Technologies and your current role. >> Yeah, so myself, a little bit about me. I'm actually a former microbiologist, so we'll talk a little bit more about that and my journey into tech and shifting over into helping others, right? Belle Fleur technologies was birthed basically after I got a wake up call in the lab and saw that data was really going to be driving a lot of decision making, you know, in not so near future, which we're seeing now, and that was probably a good 11 years ago and you're seeing almost data driven everything or at least conversations about that now. So I have to say that was a good shift. And how we help customers, we're a consulting partner, and so helping them to make a journey that maybe I made on maybe more of an individual level to shift into you know, what does that look like? You have data but gaining the value out of it to actually make, you know, decisions. And so helping our customers to actually do the assessment around the type of data that they have taking them through a process all the way through to insights that they could then look at how can we monetize that is where we actually play and that is our specialty. >> Okay, my heart skipped a beat when you said you were a microbiologist because that's what I studied in undergrad. Oh my gosh, isn't that crazy? That's what we have in common. >> I'm super excited about that, yes. >> Yes, and I got segued into tech as well so we could chat for hours about that I'm sure of it. But, you know, you bring up such a great point, especially science being so data driven. Every industry is data driven. Every company has to be a data company and to help organizations really understand where their data is it's growing obviously continuously, exponentiation how to extract value from it is where a lot of organizations really struggle. So it sounds like that Belle Fleur comes in and really helps organizations to tackle that challenge so that they can extract value from the data that will give them that competitive advantage that they're looking for. >> Absolutely, absolutely, Lisa. >> So talk to me a little bit about your career path was zig-zaggy which I love, so is mine. What are some recommendations that you would have for others watching this program that are really looking to step that ladder in tech from a career perspective? >> Well, I think, you know if I pull from my own individual experience, I would definitely say when you have that aha moment, try to investigate a little bit more about that. I was blessed in the sense that I was married to a computer scientist, so I was able to go home and kind of tell him, hey, I just saw a demonstration that blew me away. We were doing drug discovery work, and we were going to be able to use a computer program to basically help us to narrow the focus of our drug discovery work to see which drugs would be most active before we even synthesized them. And so that was going to save us a lot of money, a lot of time. Drug discovery work is a guessing game, itty house. So if a computer can actually make a million different compounds in a month, I knew that was way more than me and the whole team could make at the bench and then order them by activity. So I came home and I told him that and he said, oh, in 10 years everything will be data driven, no doubt. And we started to have these conversations. And so then I started to then investigate a little more. I started taking courses, dusting off my Python, my R trying to see, you know, where else is data, you know, king. And basically it was everywhere. I wasn't seeing a lot of people at that time really using their data. There was really dark data still, right? They were collecting it but not really using it. And so I said, I think this is something I can help companies do. And I was really excited to really learn more about that. So I started to go learn, pick up certification. So then I'm starting to reinvest in myself. I would really highly advise you once you find that this is part of your passion. You know, find a mentor. I was, thankfully I was already married to a mentor, but there are other mentors and he wasn't my only mentor. There were others, right, to help you along this journey 'cause no one person rules, I think rules at all, right? When you're trying to make this journey and try to make this shift because it is complex, and so you want to make sure you have your tribe, right? That's going to get you there and you want to make sure that you can contribute to the tribe. So I always tried to find ways that I could actually contribute to different projects, right? Even if they're open, you know, projects, hackathons go to boot camps, a lot of them are free, some of them not so free but pretty close. And I think it's, you know, kind of lowers that bar to access where you can kind of take a little peek and you can even go to some that are, you know, driven from an area that you're interested in. If you're interested in healthcare, do a hack for good around healthcare. You know, try to get involved. You'll meet a lot of good people that I think will be very happy to help steward you along the way as you try to navigate these waters, 'cause there is no straight path, right? There is no A plus B gets you to C. You really kind of have to navigate those waters. But I would definitely say get the exposure, make a decision around your passion, meet, you know, nice people at boot camps, you know, workshops, hackathons and then go for some of those industry certifications. Do an do an online search, you know and find out what are the top 10 certifications that would help to support a role that you're looking for, right, in the area that you're passionate about. And then invest in yourself, study for it go for those things, make plans, right? And bounce those off of your mentor. I think they'll be very impressed that you laid out plans and you're actually meeting those goals. They'll be more inclined to actually invest back in you, as well. >> Absolutely, and I love how you said invest in yourself. You laid out some really great tactical recommendations and guidelines. There's very few paths do I come across in tech that have been linear. Most of them have been like yours and mine very zig-zaggy. But the most important thing is investing in yourself. And sometimes I'll hear people say things like create personal board of directors and that kind of reminded me of some of the things that you said, to have those mentors, have those sponsors. To your point, after you invest in you and have those folks invest in you as well. That's great advice, Tia. >> Awesome, thank you so much. Yeah, absolutely, we have to invest in each other. I think that that's the better together story here, right? >> I do too, it's got to be symbiotic. I'll bring up a a biology word for you, symbiotic. (laughs) >> (laughing) Yes, symbiotic. >> Yes, let's talk a little bit now about some of the specific projects where you've helped either internal customers or external customers solve problems related to cloud. >> Yeah, so I would say from an internal customer standpoint, that's what we call our employees, our our BFFs, right, our Belle Fleur friends. We want to make sure that we're investing in them just as much as we do our external customers. If you have happy internal customers, you're definitely without a shadow of a doubt going to be able to solution and really have happy external customers. So you got, you know, everything starts at home first, right? So far as you know, success stories, I would say from the internal customers is really looking at how to upscale and reskill not just junior talent but senior talent. Probably over the last two and a half years, we've been working very closely with a couple of non-profits, community colleges that now have cloud computing certificates that you can get, and also bachelor's degrees, and actually creating a talent pipeline, a playbook for a talent pipeline, to reskill and upskill, to make sure that people have the skill sets that are in market today. We were seeing that there was a gap between classroom and industry as we were trying to hire. And so we wanted to be a part of the narrative not just point out the problem. But how can we really dig in there? And so, it's been tested, tried and true this playbook over 300 different interns, as well as apprentices. So we're super excited to actually have a playbook that, you know, we're able to pull from that we're now sharing with our external customers. They are also struggling with the talent pipeline. They said, hey, you come and you build these solutions so, you know, internally we need to be reskilled and we need to be skilled up and how can we work alongside you and your team not just to build out the solution but for the longer term? How can we actually build out a bench that's healthy, right? That can keep up with the pace, right? That cutting edge pace of innovation and get right in there. And so it's been really great to work with a good majority of our customers are very quite interested in the how. They maybe don't have that playbook internally or that process internally, which tends to be a challenge. So I would say, so far as cloud computing, in addition to just solving, you know, technical problems that is something in parallel that you equally have to give a lot of respect to, right? >> Yeah, absolutely. Speaking of the talent pipeline, I want to get your thoughts on where we are with respect to diversity. We talk about DEI a lot in technology but there's still challenges there. What are some of those challenges that you see and how can organizations really correct those challenges to build a diverse talent pipeline? >> That's a great question. I would say the challenges, I would call 'em the three A's, access, acceleration, and acceptance. And I think what we found with just doing this journey in the last two and a half years really documenting what are those challenges and how can we, you know, iterate to kind of just get past those challenges and just blow right through the doors and say, hey, there's ways that we can introduce access. And so joining forces, like we said with those nonprofits and those community colleges that are already, I think we all have different pieces of the puzzle, and I think we're all trying to give different pieces of access, but how do we draw a thread through it? And I think that's what our playbook attempts to do. I mean because when we say in tech that is so vast and so even within tech we say, okay, within tech these are the areas where we play, right? We have a playbook around data and analytics and we're now working from (indistinct) machine learning. And so we're looking at individuals that are coming from backgrounds that maybe are not typical, right? Maybe not a computer science degree, maybe they're biologists, like ourselves, you know, maybe that's how they started. Maybe they're psychologists. We have a few psychologists on the team. We have accountants on the team. And so what happens is that we're able to go into these different groups that we're partnered with and actually showcase to them from an access standpoint, how is tech really intersecting. I don't like to use the word disrupting, but intersecting with, you know, the traditional accounting degree, with a traditional biology degree. Did you know that this was happening? You know, and try to peak their interests and if they're interested in learning more taking them through that process. A very similar process that I had to make that decision you know, over a decade ago to really, you know, look at ways to reskill myself. And so we've put together different programs with those nonprofits and the colleges and other partners as well to make sure that we're moving them along the way and the path of access, and then, you know, also giving, you know some acceleration around some of the different programs. Some of the colleges are giving scholarships, which is awesome, with some of their partners to accelerate some of the people through our program to actually get some of those skill sets that are very applicable. Helping them to understand how their psychology background actually plays a part in that. So really not using random examples but really examples from their traditional learning and saying, you know, this is how this applies in the tech world. And so then it really helps to lower that bar, right? You know, so that they can really, not only have access, but really accelerate because now it's applied. And so when you are able to then apply it, show them how it can be applied in other industries, right? Whether they're similar or not, we all have data and data takes a very similar path in an interesting way. So once they're able to dive in there and then the acceptance, so then making those partnerships with our customers and, you know, other industries that maybe don't have this talent pipeline but would like to have that. They partner with us for the pipeline and so making sure that either they land with us or with one of our customers where they can now showcase what they've learned. They can go in and be more, maybe more junior at those companies, but they're able to grow over a two year cycle with that company that has an agreement that they're actually going to nurture that talent and really, you know, invest back in people who have invested in themselves. >> I love what you just described as four A's. It's so intentional and I think that's what a lot of organizations miss with respect to diversity is it's not, and it's not done with intention and interest as it should be, but it sounds like what you've developed is a fantastic playbook to provide access, to provide that ability to accelerate, to be able to apply their skills. Really kudos to that because my cheeks were hurting from smiling with what you were describing. It's just, it's so needed. There's so much opportunity out there, especially for people who might be on a zig or a zag and not sure where what to do next. Showing them, giving them the access, showing them what they can do and how it applies to their industry with data that's where the world is going. So I love that, very exciting. Last couple questions for you as we wrap up our time here. What are some of the things that you see next in cloud that are evolving that excite you about where we're going? >> I'm super excited. It brings you back to the A's. I think that companies of all sorts, right, have already gotten a lot of access because they can build a, you know, they can build a not a server farm, but necessarily they can have the power of the same computing, right, as some of the larger enterprises, whether you're a startup or, you know, smaller, medium-sized business. So I'm super excited that it's going from, I think more of a solution conversation where you're a lot closer to the end goal even from the first assessment conversation and less of an infrastructure kind of conversation where you're talking about the different services around cloud computing and, you know, inside those. And so I'm super excited about that. I think, you'll see a lot of solutions being kind of more or less pre-baked ready for those buy versus build conversations. You'll still have to configure. You'll still have to integrate, but I think we're going to all live around the API. I see a lot of APIs, you know, driving some really great SaaS applications that are really then connecting data to everything. And then it's not just about having that data that can then be shared across the organization, but even organizational units across the enterprise can self-serve from those analytics and those insights instead of, you know, I think back on one of our customers, they were a manufacturer and really it was their accounting team that brought us in and they said, listen, we need to get insights during a manufacturing run to make decisions if we're profitable or not. Right now, we're manually trying to wrangle the data as accountants across different, you know, even different states, right, to get this information and we're not getting the insights, and we're scratching the surface 'cause we don't have that time until a month after it's already shipped. There's really at that point you can't make a decision. And so they really wanted to change that. They really wanted to look at profitability. They really wanted to look at how can we go back to just being accountants? Like we don't want to be data wranglers. >> Right. >> And I think a lot of our customers are in that boat. They don't want to manually wrangle data. How can you help us to at least make it to where it's more of a self-service, and we're consuming, not the data, but the insights, right? So we can be actionable on the insights. And that's what I'm super excited about, and that's what I think you'll see become easier and easier for companies to be able to do with cloud computing. >> Which is so exciting because the frontier is endless but as every company, whether it's a retailer, or a manufacturer, or a life sciences organization have to be a data company these days. There's no choice. You have to be able to serve customers 'cause of course we have the demand as consumers in our personal lives and our business lives. We want that data to deliver relevant content to us. And so organizations have to work with folks like you to be able to do that. Tia, it's been such a pleasure having you on the program. Thank you so much for giving us some of your time walking us through your interesting background and some of the great techniques that you're employing at your company to really help drive organizations to be successful with with the talent pipeline, with the cloud. We really appreciate your insights. >> Thank you so much, Lisa. Appreciate you, theCUBE, AWS as well, thank you. >> Yeah, you're very welcome. For Tia Dubuisson, I'm Lisa Martin. You're watching theCube's special program series, "Women of the Cloud", brought to you by AWS. Thanks for watching. (upbeat music)

Published Date : Feb 9 2023

SUMMARY :

brought to you by AWS. Thank you so much, Lisa. and your current role. and so helping them to make beat when you said you were and to help organizations that you would have some that are, you know, of the things that you said, Awesome, thank you so much. I do too, it's got to be symbiotic. problems related to cloud. in addition to just solving, you know, challenges that you see ago to really, you know, that excite you about where we're going? and those insights instead of, you know, to do with cloud computing. And so organizations have to work Thank you so much, Lisa. brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Tia DubuissonPERSON

0.99+

Lisa MartinPERSON

0.99+

AWSORGANIZATION

0.99+

Tia dubusonPERSON

0.99+

LisaPERSON

0.99+

Bellflower TechnologiesORGANIZATION

0.99+

Belle Fleur TechnologiesORGANIZATION

0.99+

Women of the CloudTITLE

0.99+

TiaPERSON

0.99+

PythonTITLE

0.99+

oneQUANTITY

0.99+

Bellflower Technologies P.OORGANIZATION

0.99+

11 years agoDATE

0.99+

10 yearsQUANTITY

0.99+

over 300 different internsQUANTITY

0.98+

Belle FleurORGANIZATION

0.98+

BelfairORGANIZATION

0.97+

theCUBEORGANIZATION

0.97+

pythonTITLE

0.96+

over 300 different internsQUANTITY

0.96+

over a two-year cycleQUANTITY

0.94+

firstQUANTITY

0.93+

first assessmentQUANTITY

0.92+

PlaybookCOMMERCIAL_ITEM

0.92+

two yearQUANTITY

0.91+

todayDATE

0.91+

a million different compoundsQUANTITY

0.9+

over a decade agoDATE

0.86+

first assessmentQUANTITY

0.86+

lot of peopleQUANTITY

0.85+

couple questionsQUANTITY

0.83+

over a decade agoDATE

0.83+

presidentPERSON

0.82+

and a half yearsQUANTITY

0.8+

10 certificationsQUANTITY

0.78+

a monthQUANTITY

0.77+

fourQUANTITY

0.77+

a million different compoundsQUANTITY

0.76+

threeQUANTITY

0.76+

lot of moneyQUANTITY

0.76+

a monthQUANTITY

0.75+

top 10 certificationsQUANTITY

0.73+

two and a half yearsQUANTITY

0.72+

coupleQUANTITY

0.68+

overQUANTITY

0.68+

moneyQUANTITY

0.67+

two and a half yearsQUANTITY

0.65+

theCubeORGANIZATION

0.63+

lastDATE

0.63+

PlaybookTITLE

0.61+

BellORGANIZATION

0.61+

of peopleQUANTITY

0.6+

lotQUANTITY

0.57+

last twoDATE

0.5+

BellePERSON

0.42+

FleurORGANIZATION

0.39+

ThreeORGANIZATION

0.37+

CubePERSON

0.36+

Kesha Williams, Slalom | Special Program Series: Women of the Cloud


 

(bright upbeat music) >> Hey everyone. Welcome to theCUBE Special Program series: Women of the Cloud brought to you by AWS. I'm your host for the series, Lisa Martin. Very pleased to welcome Kesha Williams, senior principal at Slalom who joins me next. Kesha, great to have you. Thank you so much for your time today. >> Thank you for having me Lisa. >> Tell me a little bit about you and your role at Slalom. >> Hi everyone. I've been in tech for 26 years working across several industries like the airline industry, healthcare, hospitality and several government agencies. I really built a solid foundation in the Java software engineering space. A few years ago I added on AWS in the cloud and I really haven't looked back since. Throughout my career, I realized that I had a heart to teach and mentor, and that's what really brought me to Slalom. I currently serve as a program director in our AWS Cloud Residency program, which is a career accelerator for cloud engineers. >> 26 years. So you've had some great experiences and talk along that journey. You've grown your career as well. I love that you have that heart for teaching and mentoring. I think that's fantastic. Talk about, for the audience, some of the tactical recommendations that you have for those watching to be able to follow in your footsteps and grow their careers in tech. >> Well, tech is a very broad category. I always recommend that people really figure out what they enjoy doing to help narrow that focus into a specific domain in technology. For example, do you enjoy coding? Then you would look to be a software engineer. Do you enjoy telling people what to do? Then you may enjoy technical project management, and there are so many disciplines. I also recommend for people just getting started in tech to really consider the cloud. There is a huge demand for cloud engineers and people that are cloud-literate and not enough people to fill that demand. If you're looking to start a career in the cloud, I always recommend starting with learning the foundations, so going after your AWS Certified Cloud Practitioner exam. And once you understand the foundations, then start to build that hands on experience and build that portfolio so that you can speak to what you've developed in the past. And once you have that understanding, start to think about your specialty area. Do you want to specialize in machine learning or security or networking, and then continue to go after those more advanced certifications? >> That is brilliant advice that you really walked the audience through very strategically. I love how you think about it in that sense. I'd love to get into now you've grown your career over 26 years, as you said, some of the success stories that you've had in cloud. Can you share a few of those with us that you think really demonstrate the value of that foundation that you've built? >> Sure. I think a lot about success stories that really hit home and the first one that comes to mind is Georgia State University. That hits home because I'm from Georgia. It also hits home because my son attended Georgia State University. And Slalom joined Georgia State to really help them adopt this serverless approach and implement DevOps practices, and what that brings with serverless, you're able to really think less about the infrastructure management, and focus on building solutions and capabilities in Georgia State's example, really helping students achieve what they're trying to achieve. And I think that just the serverless model helps organizations move faster and deliver faster and innovate faster, and that's what we saw at Georgia State University. I'm happy when I think about that project because now Georgia State is ranked as the fourth most innovative university in the country, and I believe it's because we were able to help them shift and move some of their key applications to the cloud and really realize the benefits of what the cloud brings. >> And so, I love that. The fourth most innovative university in the country. That's a pretty impressive pedigree to be able to have there and you've shown the value of that. There's value across the organization, right? Across the staff, the educators, the students, the prospective students, and of course they have such great technology foundation with which they can use to learn and grow. You've got a second great example at Securian. I'd love to hear that success story and how you really helped that organization transform itself. >> Right. Securian, that case study really speaks to me because I'm all about teaching and mentoring, and empowering people to really realize the benefits of the cloud, and we were able to do that at Securian. We came in and really helped them define their cloud strategy, define that adoption strategy, define how they're going to migrate their applications to the cloud, and then we worked right alongside them to help them do that migration. But as a part of that, we talked about talent development and really help them up level their skills to be able to maintain what we've developed from an ongoing long-term perspective. >> The talent focus, the demand for talent, your focus on that is it can be such a flywheel for organizations in terms of innovation, evolution, that in upskilling is something that every organization I think regardless of industry should be focused on. Talk to me a little bit more about the heart that you have for helping organizations to attract that talent, to retain that talent by being able to be embracing of technology in emerging technologies in their organization, and how does that help them attract talent? >> Well, when you think about the mindset of engineers and the people in tech, we always have this goal to be at the leading edge and keep our skills current and have an opportunity to experiment with the latest and greatest technologies. And there is a huge appetite for cloud engineering skills from an engineer perspective and just from a demand perspective in the industry. So when companies are utilizing these really leading edge technologies that have shifted how we build applications, how we support applications, it really attracts top talent. >> Absolutely, and that should be a focus of every organization. Speaking of talent, one of the things that is talked about tremendously in organizations is diversity. But talk to me about some of the things that you see from a diversity lens through your eyes and what are some of the challenges today? There's so much talk about it, but yet dot dot dot to be continued. >> Right, Right. I am super excited that there is a huge focus on diversity in tech. Like I mentioned before, I've been in tech for 26 years, and I remember when a lot of organizations didn't care about diversity. So I'm appreciative that now there's a huge focus. But with that, there's also a need and a desire to focus on what we call inclusion and equity. So we're seeing organizations hire diverse candidates, but when those people come in, they're not in an environment that's welcoming. They're not in an environment where they feel included. And so there can be a retention problem if there isn't a focus on also inclusion and equity, which I call the other side of diversity. >> Yeah, the other side of the coin there. That's a great point that inclusion and equity are so critical to that diversity piece. In fact, they're really kind of engines to help make it successful so that organizations can attract diverse talent, but also retain them, make them feel welcome. Talk to me about some of the commitments that Slalom has to really a DEI approach. >> Right. At Slalom, we work really hard to build a culture where employees can bring their a authentic selves to work and be authentic, and really enjoy equitable opportunities in a welcoming environment that celebrates authenticity. For example, our employees have access to a multitude of employee resource groups. Those types of groups, we call them ERGs, they really help with a sense of inclusion and a sense of belonging. When I think about the cloud residency, we do the same thing. We have a focus on diversity, so our leadership team is diverse, the residents in the program are diverse. So we have diversity from the bottom to the top. We also practice equity and inclusion in how we staff our residents on projects and how we make sure really I call it an even playing field for everyone, and really think about and understand some of the barriers that people face. And like I said, try to make it an even playing field. >> Wouldn't that be nice one day if there actually is an even playing field and we don't have to focus on this so much? That's kind of a nirvana, I think, for us to get to, but so much productivity comes when people are treated fairly. And to your point, I love that you said getting to be their authentic selves. I think that's what everybody wants in every walk of life, in every aspect of life. Let me being my authentic self and employer, I'm going to be far more productive as a result for you. I just think they're linked like this. >> I totally agree. Like you mentioned, it helps bring retention. And when people have that sense of belonging, that sense of inclusion and they know that the organization they work for really cares and values those those things. >> Speaking of authenticity, the organization needs to be authentic. That's a whole other conversation, Kesha, we could have I'm sure. But I want to ask you a final question. I can't believe you have 26 years experience in tech. Don't look at for one, but you have had- I appreciate that- >> such opportunities to grow and expand your career. You've left our audience with some fantastic strategic advice, tactical recommendations for how they can really climb that ladder. What do you see as next for the evolution in the cloud and where do you think your role is going to go? >> I definitely see this growing demand and need for machine learning. The use of how we're applying machine learning really in every area of life is just exploding. And I see just next this supercharged focus on truly democratizing machine learning and putting it in the hands of everyone: technical people, business people, non-technical people. And when I think about AWS and some of their newer services, it really seeks to do just that. And when I think about my role and in the Cloud Residency and how that role will evolve, it's just very important for me to lead the team to be intentional in building cloud engineers that can quickly jumpstart their machine learning journey to help fill that demand and better serve our clients. I also see my role really evolving into one that truly stays in line with the trends that we're seeing in the tech industry, and bringing those trends back and really preparing our cloud engineers to succeed. >> It's all about being intentional, intentional in DEI, intentional in cloud engineering, intentional in democratizing machine learning. Kesha, it's been such a pleasure to have you on the program, Women of Cloud. Thank you so much for sharing your insights and your advice with the audience. I know they appreciate it. >> Thank you for having me. >> My pleasure. For Kesha Williams, I'm Lisa Martin. You're watching this special CUBE program series, Women of the Cloud brought to you by AWS. We thank you so much for watching and we'll see you soon. (bright upbeat music)

Published Date : Feb 9 2023

SUMMARY :

Women of the Cloud brought to you by AWS. you and your role at Slalom. and I really haven't looked back since. I love that you have that heart and not enough people to fill that demand. that you think really and the first one that comes to mind and how you really and empowering people to really realize and how does that help and have an opportunity to Absolutely, and that should be a focus and a desire to focus on what that Slalom has to really a DEI approach. the bottom to the top. I love that you said getting and they know that the the organization needs to be authentic. and where do you think and in the Cloud Residency to have you on the Women of the Cloud brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

KeishaPERSON

0.99+

KeshaPERSON

0.99+

SecurionORGANIZATION

0.99+

Kesha WilliamsPERSON

0.99+

AWSORGANIZATION

0.99+

Keisha WilliamsPERSON

0.99+

SecurianORGANIZATION

0.99+

Georgia State UniversityORGANIZATION

0.99+

SlalomORGANIZATION

0.99+

GeorgiaLOCATION

0.99+

26 yearsQUANTITY

0.99+

LisaPERSON

0.99+

26 yearsQUANTITY

0.99+

Georgia StateORGANIZATION

0.99+

Georgia StateORGANIZATION

0.99+

secondQUANTITY

0.99+

oneQUANTITY

0.99+

todayDATE

0.99+

over 26 yearsQUANTITY

0.99+

Women of the CloudTITLE

0.98+

JavaTITLE

0.98+

first oneQUANTITY

0.97+

fourth most innovative universityQUANTITY

0.92+

awsORGANIZATION

0.91+

fourth most innovative universityQUANTITY

0.9+

fourth most innovative universityQUANTITY

0.9+

exampleQUANTITY

0.88+

somORGANIZATION

0.79+

one dayQUANTITY

0.77+

few years agoDATE

0.77+

SlalomPERSON

0.72+

Women of theTITLE

0.69+

theCUBEORGANIZATION

0.64+

Ashley Gaare, SoftwareOne | Special Program Series: Women of the Cloud


 

(upbeat music) >> Hey, everyone. Welcome to theCUBE's Special Program Series: Women of the Cloud, brought to you by AWS. I'm your host, Lisa Martin. Very pleased to welcome Ashley Gaare to the program, Global Extended Executive Board Member and President, North America at SoftwareONE. Ashley, welcome, it's great to have you here. >> Hi Lisa, thank you for having me. I'm excited to be here. >> Talk to us a little bit about you, about SoftwareONE, about your role, give us that context. >> So SoftwareONE is a global services provider for end-to-end software cloud management. We operate in over 90 countries. Our headquarters globally are in Zurich, Switzerland. Our North American headquarters are in Milwaukee, Wisconsin. And I run the North American region with scales from the US, Canada, we have parts in Costa Rica, in Mexico. And our primary purpose and to serve our clients is to help them really understand the restraints in cloud management, everything from licensing used rights to financial operations to workload migrations, to help them drive better outcomes for their business. >> It's all about outcomes for the business. Every conversation we have always goes back to outcomes, but I want to learn a little bit more actually about you. Talk a little bit about your career path and then give us some recommendations that you would have for others who are looking to really kind of step the ladder in their tech careers. >> Yeah, so I've been very fortunate and blessed to be able to be at SoftwareONE for 15 years. So I came up through inside sales. I had no idea how the tech world operated, didn't even know what a server was. And I learned on the job, and this was before even cloud was really relevant. And I think for me, I get asked a lot, "How did you work your way up," so to speak, and it's really about understanding where your strengths sit and investing in those strengths, building a brand of yourself and what your identity is like within the workplace. What do you want people to know of you? Do they want to, "Oh, I got to get Ashley on this project because she accelerates and executes cleanly," right? Or, "I need Ashley to do this because she can collaborate with peers and bring people along." So really understanding where you want to sit, what your skills are, and your strengths, and then asking for mentorship, getting career advice, raising your hand, take on more, and don't ever be afraid to ask questions and admit stuff when you don't know, that humble is part of our core value within SoftwareONE, and it's really, really helped me grow in my own career. >> Ashley, I love that you talked about creating your own personal brand. Another thing that I hear often from women in this situation is creating your own personal board of directors, of mentors, and sponsors who can help guide you along that path. You also talk about investing in you, and I think that is such pertinent advice for those to be able to create success stories within their career. I would love to then know about some of the successes that you've had, where you've helped solve problems relating to cloud computing for organizations, internal, external. >> Yeah, it's a great question. That's why we're here, right? Women of the Cloud. Yeah, SoftwareONE in particular, took the approach early on that we were going to go cloud first in our services portfolio offering, right? We saw the writing on the wall. There was no reason to invest backwards and build (indistinct) and data center consulting practices. So for us, everything we built from the ground up has been cloud native. And so some of the amazing client stories that we've had are really I think, I know it's a silver lining coming out of the pandemic when you had industries hit so hard but hit so differently. And technology was at the core on how they address those problems. So you had the healthcare space that had to get protection and be able to meet with their patients face to face but virtual at the same time. So they had to be able to take the data and still governance with HIPAA laws, keep it secure but then move it to the cloud and shift it fast, right? And then you had manufacturing who had employees who had to stay on site, right? To keep the supply chain running, but at the same time you had office workers that had to move home and completely be 100% remote. And so what we've been able to do really with AWS and our certifications in that practice is AWS differentiates itself with its agility, its framework, it allows for true development in the the PaaS space. It provides a really, really secure robust end to end solution for our clients. And when you have to be able to be nimble that quickly it's created this new expectation in the industry that it could happen again. So are you set up for the next recession? Are you set up for the next pandemic? God willing, there isn't one, but you never know. And so investing in the right infrastructure there in the cloud is critical. And then having the framework, to manage it and go it is second in line and importance. >> Being able to be just aware of the situations that can happen. In hindsight, it's, that's a silver lining coming at a COVID cheer point, being able to prepare for disasters of different types or the need to establish business continuity. I mean, we saw so many organ, well every, almost that survived every surviving organization pivot to cloud during the last couple of years that had no choice to one, survive and two, to be able to be competitive in our organization. And so we've seen so many great stories of successes. And it sounds like SoftwareONE has really been at the forefront of enabling a lot of businesses, I would imagine. Can the industry be successful in that migration and that quick pivot to being competitive advantage competitively, competitive? >> Yeah. Yeah. And I think our differentiator which comes from our core strength of this licensing and asset financial management piece. So with COVID, right? When you had this great acceleration to the cloud whether it was remote workplace or it was IaaS you then had no choice but to pay what you had to pay. It was all about keeping the lights on and running the business and thriving as much as you could. And so cost wasn't a concern. And then you had the impact in certain industries where it became a concern pretty quick. And so now we're seeing this over pendulum kind of this pendulum swing back where it's like, okay we're in the cloud, now we got to go back in time and kind of fix the processes and the financial piece and the components and the compliance that we didn't really address or have time to sit and think because we were in survival mode. And that's where SoftwareONE really comes in with this end to end view on everything from what should you move to the cloud? How does it impact your budget, your bottom line should you capitalize it? Can you capitalize it? And so the CFO and the CEO and that CIO suite have to be working end to end on how to do this effectively, right? So that they can continue to thrive in the business and not just run in survival mode anymore. >> Absolutely, we're past that point of running in survival mode. We've got to be able to thrive to be able to be agile and nimble and flexible to develop new products, new services to get them to market faster than our competition. So much has changed in the last couple of years. I'm wondering what your perspective is on diversity. We've talked about it a lot in technology. We talk about DEI often. >> Yeah. >> A lot's gone on in the last couple of years thought there's so much value in thought diversity alone. But talk to me about some of the things that you're seeing through the diversity lens and what are some of the challenges that are still there that organizations need help to eradicate? >> Yeah, topic I'm very passionate about. So there's a couple of big bullets, right? That are big rocks that we have to move. There's a gender gap, we know this. There's a wage gap, we know this. Statistics state, essentially that women make 82 cents for every $1 a man makes. Men hold 75% of the US tech jobs and working mothers, for example. 34% of them do not return to the workforce. It's mind blowing, fun facts and SoftwareONE is we actually have a hundred percent return working mothers come back and stay for at least a year, yeah. And it requires really intentional investment in making sure that they have an environment that they can be successful as they transition back making diligent choices on the benefits that you provide those women so that they don't feel that they have to make some of the tough choices that they feel pressured to do. And then you have this talent shortage, right? So on top of gender, on top of pay, then you have this all up shortage of underrepresented groups, right? And you also have, in the tech space there's just a lack of talent all up. And I think looking back, hindsight's always 2020 but as a community and as a vertical in the tech space, the organizations didn't do enough good job of reaching into high schools, understanding early on in elementary and middle school to provide equal opportunity to make the computer coding classes a requirement and not an elective to give everybody exposure to how tech works in the real world, right? As opposed to offering it as an elective. It should be a requirement. I mean, it's like financial management. It's how the world runs today is on tech. So something that SoftwareONE has done to really address that is we built this academy it's only two years in its infancy, so it's young but we go intentionally to schools and we hand select and we create a program, right? To get them exposed to the industries that they're interested in. Personally though, I think we need to start way earlier on and I think that's something that we all can work better at and is exposing the next generation to setting an expectation that tech is going to be in your life. And so let's learn about it and not be afraid of it and turn it into a career, right? >> Absolutely, every company these days has to be a data company. They have to be a tug company whether it's your grocery store, a retailer, a manufacturer, a car dealer. So that kind of choice isn't really there anymore that's just the direction that these companies have to go in. You mentioned something that I love because I've been hearing it a lot from women in this series. And that is, with respect to diversity organizations need to be intentional. It has to be intentional, really from the get go. And it sounds like SoftwareONE has done a great job with intention about creating the program and looking at how can we go after and solve some of the challenges that we have today but really go after some of these younger groups who might not understand the impact and the influence that tech is having in their lives. >> Yeah, and the only way to be intentional with the right outcome is to ensure that you have diversity of thought in the leadership teams that make those decisions, right? So you can put your best foot forward in being intentional with trying to keep women in the workforce but if you don't have women on your leadership team where are you getting that feedback from? And so it starts by this getting the talent into the company at the very bottom level from an inclusion standpoint, keeping them, but also intentionally selecting the right diversity of thought at the leadership levels where they make decisions. Because that's where the magic happens Where, I have the privilege to be able to choose and work with my HR partner on what benefits we provide. And you have to have a team that's all inclusive in understanding the needs of all the groups, right? Otherwise you end up intentionally in with the best intent of heart creating benefits that don't really help women. I think it takes a lot of work and and time, but it's something that's very important. >> Very, very important. The fact that you mentioned thought diversity, the amount of value that can come from thought diversity alone is huge. I've seen so many different data points that talk about when there are females or people of color in the executive positions at organizations they are x percent say 20% more profitable. So the data is there to demonstrate the power and the business value that can come from thought diversity alone. >> Yep. Exactly. Yep. >> So moving on, we've got a couple minutes left. I want to understand what you are seeing in your crystal ball or maybe it's a magic ball about what's next in cloud. How do you see your role evolving in the industry? >> So, well, what I think what's next in cloud both from an industry and a SoftwareONE standpoint is expanding outside of this infrastructure as a service mindset where cloud was there to run your business. And the beauty of it now is that cloud is there to also drive your business and create new products and capabilities. And so one of the biggest trends we're seeing is all organizations at some form or at some point in time will become a service provider or have an application that they host that they provide to their clients, right? And so they're a tech company. And so it's not just using tech to run it's using tech to build and innovate and be able to create a profit center to be able to drive back those to meet your clients' needs. And in order for you to make the appropriate decisions on financial strategy and budget management you have to know the cost to go into, to building the product, right? And if you don't know the cost to go into the building the product then you don't know the profit margins to set and you don't have a strategy to go sell it, at market value. And so it really becomes this linchpin in all of the areas of the business where you're not only running but you're also developing and building. So you have to have a very good, strong investment in the financial operations component of cloud. And I think that's where FinOps is coming in. You'll hear that phrase a lot, right? And so the end to end ability to financially manage cloud while secure, but also with visibility is that is this next generation, and it's going to include SaaS, right? 'Cause they're going to be plugging in it's going to include governance because it's not just the CIO making decisions anymore. It's business line leaders. And so how do you have this cloud center of excellence to be able to provide the data to the decision makers so that they can drive the business? >> And that's what it's all about, is data being able to be be used, extracting insights from it in a fast real time manner to create those business decisions that help organizations to be successful to pivot when needed and to be able to meet consumer demand. Last question for you, Ashley is, if you think about in the last say five years what are some of the biggest changes in terms of the tech workforce and innovation that you've seen? And what excites you about the direction that we're going in? >> Oh, I think that, well I think the biggest change over the last five years is the criticality of the space. It used to be like, well we're not so mature in cloud. We'll eventually get there, we'll dabble in it, we'll dip our toes in it, eventually, we'll move everything. And it's like, well, we're there.(laughs) So if you're not in it, you're behind. And I think what is really important for people who want to get into this space is it doesn't mean you have to be super techy, right? The number of times people are like can you help me with my computer? And I'm like, "No, I don't even know how." Like, "No, I not can help you with your computer." I consult and I help drive, business decisions with clients. And so there's all these peripheral roles that people can get involved in, whether it's marketing or it's sales or it's product design. It's not just engineering anymore. And I think that's what's really exciting about what's to come in this space. >> The horizon is infinite. Ashley, thank you so much for joining me on the program, talking about your role, what you're doing at SoftwareONE, some of the great successes that you've had in the cloud and some of your recommendations for organizations and people to grow their careers and really increase diversity in tech. We so appreciate your time. >> Thank you, Lisa. Thanks for having me. >> My pleasure. For Ashley Gaare, I'm Lisa Martin. You're watching theCUBE special program series; Women of the Cloud, brought to you by AWS. Thanks so much for watching. (soft upbeat music)

Published Date : Feb 9 2023

SUMMARY :

Women of the Cloud, brought to you by AWS. I'm excited to be here. Talk to us a little bit about you, and to serve our clients kind of step the ladder And I learned on the job, to be able to create success and be able to meet with and that quick pivot to to pay what you had to pay. We've got to be able to thrive But talk to me about some of the things that tech is going to be in your life. that these companies have to go in. to be able to choose So the data is there to Yep. evolving in the industry? And so the end to end ability that help organizations to be successful to be super techy, right? and people to grow their careers Thanks for having me. Women of the Cloud, brought to you by AWS.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
RajPERSON

0.99+

DavidPERSON

0.99+

Dave VellantePERSON

0.99+

CaitlynPERSON

0.99+

Pierluca ChiodelliPERSON

0.99+

JonathanPERSON

0.99+

JohnPERSON

0.99+

JimPERSON

0.99+

AdamPERSON

0.99+

Lisa MartinPERSON

0.99+

Lynn LucasPERSON

0.99+

Caitlyn HalfertyPERSON

0.99+

$3QUANTITY

0.99+

Jonathan EbingerPERSON

0.99+

Munyeb MinhazuddinPERSON

0.99+

Michael DellPERSON

0.99+

Christy ParrishPERSON

0.99+

MicrosoftORGANIZATION

0.99+

Ed AmorosoPERSON

0.99+

Adam SchmittPERSON

0.99+

SoftBankORGANIZATION

0.99+

Sanjay GhemawatPERSON

0.99+

DellORGANIZATION

0.99+

VerizonORGANIZATION

0.99+

AshleyPERSON

0.99+

AmazonORGANIZATION

0.99+

Greg SandsPERSON

0.99+

Craig SandersonPERSON

0.99+

LisaPERSON

0.99+

Cockroach LabsORGANIZATION

0.99+

Jim WalkerPERSON

0.99+

GoogleORGANIZATION

0.99+

Blue Run VenturesORGANIZATION

0.99+

Ashley GaarePERSON

0.99+

DavePERSON

0.99+

2014DATE

0.99+

IBMORGANIZATION

0.99+

Rob EmsleyPERSON

0.99+

CaliforniaLOCATION

0.99+

LynnPERSON

0.99+

AWSORGANIZATION

0.99+

Allen CranePERSON

0.99+

Rochelle Manns | Women of the Cloud


 

>>Hey everyone. Welcome to the Cube's Special Program series. Women of the Cloud Drops You by aws. I'm your host for the series, Lisa Martin. Very pleased to welcome Elle Mans to the program VP of North America Cloud platforms at Converge Technology Solutions. Rochelle, great to have you on the program. Thank you for your time today. >>Thank you, Lisa. Excited to be here. >>Tell me a little bit about you, a little bit about your role so the audience gets that understanding. >>Sure. So my role here is to help our customers migrate to public cloud or, or adopt public cloud as part as their overall digital transformation strategy. I've been in this role a little over two years supporting our, our customers and, and our organization as, as a whole. My background in technology, I've actually been a, a woman in technology since 1989. I'm one of those rare breeds that from a very, very young age, I knew I loved computers and, and always wanted something, something to do with it. The last 10 years of, of my career really has been working with clients and, and companies in the, in the industry with disruptive technologies, adopting new and and emerging technologies and, and cloud has been my focus for, for the last two years. >>But you're an og it sounds like when it comes >>To >>Tech, that's outstanding. >>It's surprises a lot of folks, >>Doesn't it? Yeah. Yes. Sometimes it surprises me as well, like how long I've been doing something, and I'm sure the same for you, but you have such wisdom and such experience that I would love to be able to share with the audience. Talk a little bit about some of your recommendations. Are they tactical, they strategic for those in the audience watching who really want to grow their careers and tech and climb that ladder? >>Yeah, I, I think, you know, our younger generations right now have, have, I think, a little bit of an easier path to, to take than, than some of us have with the amount of information that's out there, the access to, to information and the opportunity. I think one of the biggest recommendations that, that I can put out there is to always continue learning and find a mentor. Find a sponsor. You know, I, with being a female in tech, there weren't that many when I started out in the industry. And it's just, I get amazed every time I meet another, another female. And whether she's been in the industry for, you know, 20 years or two or five years, it's just exciting to see and listen to the stories of other people's paths and their journey. So mentor and, and your tribe, you definitely need your tribe. >>Absolutely. You know, something I didn't understand until a few years ago was the difference between a mentor and a sponsor. And it's so incredibly important to understand differences between the two, how they can help you lev get leverage in the career path that you're on, but, but people need to know you. You have a network, it's there. You might not think you do, but it is there. And think about those who are mentors, those that can be sponsors to help elevate you along your journey. >>Yeah, it's, it's amazing. I, I think about, I have three, three really good friends that we've grown up in the industry together, but the, sometimes even having those three really good friends, we went through many things by ourselves that we didn't have to, as you mentioned it, it, it, it took me longer than, than than I should to understand that I have someone that we can lean on sometimes just having those conversations and saying, Is this what I should do? Is this something or did did that just happen to me? You know, and having those that, that mentor and, and that partnership with someone that they may be in your organization, they may be outside of your organization, but definitely that you can have those candid conversations about what your growth or goal, what you'd like to strive for. You know, especially if it's something that may on the surface appear to be out of, out of reach. You know, if you have, have someone that is maybe not as invested in what you're trying to achieve, but can look at you and have that objective conversation, I think makes, makes all the difference and makes all the difference in the world. >>It does. And it's, it's a little bit about vulnerability, about raising your hand, saying, Hey, I'm very interested in this. I may not meet every single written criteria in the job description, but I have an interest and a passion. Can you help me navigate the, the path to, in order to get there? It's part of, it's just really raising your hand. >>It's, that's such a, such a great point, Lisa, because in some ways we can't be vulnerable because we are underrepresented as, as women in technology, but at the same time, we have to have that ability to have those same conversations that, you know, I don't know everything. Can I do this? What do I need to learn? So it, it really is finding that that balance and when you have a mentor that can help you in that area, that's the way you can show that vulnerability without, without looking like you don't have strength. >>Right. There's a balance there for sure. Speaking of that, vulnerability, diversity, we talk a lot about diversity when it comes to technology. There's a lot of strides being made. There's also some challenges, there's some gaps. What are some of the things that you see from your lens, from your seat with respect to diversity and some of the challenges that are still out there? >>Yeah, I, I look at companies like AWS with much respect on where, you know, their diversity and inclusion goals. It's not just a checkbox. You can actually see that when it is part of the culture, the room looks diverse. There are so many companies that have have the diversity and and inclusion goals, but when you go into the room or you, you're sitting in a meeting or you have a board, it is, it's, it's still, it's, it's still not seeing yourself in that, in that room. I go to a lot of conferences, attend, attend a lot of meetings, and it, and it's still surprising to see, you know, the lack of minority representation, leadership and the lack of women in, in, in leadership. So while there's been amazing strides that we've seen happen, you know, particularly, like I said, with companies like aws, we've got a long way to go. >>And I think you mentioned the difference between a mentorship and, and sponsorship. That's one thing within these organizations, particularly in leadership, there, there needs to be that sponsorship of, of the individuals in your organization that can help change what the landscape looks like at the top through your leadership. You'd be surprised how how problems are solved differently. Problems can be solved more quickly and talk about innovation when you've got more a diverse lens. There's more ways to innovate if you've got different people bringing different perspectives to the, to the conversation. So looking forward to seeing that continuing changing of, of the landscape. When I look inside the room and, and I count, >>I do the same thing and there's so much value in thought diversity for organizations and that data clearly speaks for us stuff. We, we can't have a tech conversation without talking about data, but data demonstrate that for organizations that have diversity emails, for example, in the C-suite, those organizations are more profitable. So bringing in different tracks of thought, different perspectives, the thought diversity, diversity and gender diversity and other things is so valuable. It's invaluable to organizations in every industry. >>Yeah, it's, it's invaluable. And it, and it's funny because our industry tech right now, I mean data is, you know, it's the, it's the new water, it's the, the gold mine. It's the asset. And it's, it's funny that in this area that the data is, is almost ignored. It's, it's, the data proves itself. So it doesn't have to be a checkbox for these, you know, diversity inclusion goals because the data's there to, to prove that we're all here to be profitable, follow that data. >>Exactly. And sometimes it seems so simple. Follow the data and we, we think the same recommendation holds true to, to any industry that any company and any industry that needs to be a data company to be able to deliver what the demanding consumers want, follow the data, it won't leave you astray. So I wanna get though back to talking about you and some of the impact that you've been able to have in your career. Talk a little bit about some of the specific success stories of problems that you've helped solve related to cloud computing. >>Yeah, I, this last, I'd say 16 to 18 months for us as an organization has been amazing for me as well as my team. Some of our, you know, the majority of our success, we couldn't be, I couldn't be here having this conversation without my team. And for, for us as a, as an organization where our heritage is legacy data center, and we've got customers that we've had a 10, 15, 20 year selling relationship with that now via our acquisition strategy and growth strategy, we're going to them in saying, let us help you with your cloud journey. And it's something that they haven't known our, our organization for in the past. And so when we go in there and, and meet with CIOs and CEOs and ask for them to trust us to take them on this cloud journey, and many of our clients are, are what you term greenfield, that they've got very little activity in public cloud. >>And so it's a, it's a disruption, it's an internal disruption that can be a very emotional journey that has to start with trust because you transform so much of the business. And so each and every of our wins, particularly when we have, when we have wins with brands that are recognizable, particularly when we have wins against competitors that have been in the cloud space, and that's all they do. For me, I take that as, as a personal stamp of endorsement because we've, we've shown and demonstrated to those clients that we're the right ones to, to take 'em on that journey. And we've created that, we've created that, that trust. So for me, we've had some incredible wins with our clients and those conversations can get tough sometimes we're in, we're in the middle of a migration and the operational change that'll happen. And sometimes there's tough conversations to say, you know, you think your organization is here, it's not, it's here. And we're not calling that out to say, you haven't done something, we're calling that out so that your journey ends where you'd like it to be, where we've all agreed for it to to be. And so when we, you know, have that final party or have, you know, that final sign off at the end of the project, that that's, that's a personal personal win for, for me, I, I, I enjoy solving problems and, and, and taking customers on those journeys, >>Solving problems and, and helping customers navigate the journey, whether it's the journey to cloud, the journey to digital, the journey to being more competitive than their competitors is, is just that, it's a journey. It's a multi-phased multi-step process. And to your point, underpinning that has to be trust between the organization and the people that are working to get them successfully on that journey. >>It does, and it's, it's funny, some of the, some of the conversations we're, we're starting out. Our, our approach, our team is very prescriptive and we'll get a lot of customers that just wanna go, go, go. And it's, it's, I'm, I'm road racing as, as my hobby. And so the old adage, sometimes you've gotta go slow to go fast and we, we talk to our customers and there's a lot of interviewing and they just wanna deliver. They just wanna jump in. And we're, we're like, it, it is, we know this may feel like we're going slow, but if we can really truly understand what that business outcome looks like, if we can uncover how you can leverage your investment and your, your movement to cloud, many, many customers are looking at it from a total cost of owner ownership. Can I, can I get outta the data center? >>If just that moving out of the data center, if we do those interviews with your different teams, and then we can understand an area where we can improve a customer experience, you know, make an offering that's been a, a cost center for you, a profit center for you. Those are things that we're looking for. So we really get to know our client's business. So it's not just about the technology or the destination, it's, it's what do you do when you get there? And so having those deep conversations with, with our, with our clients is, is the approach that we like to take. >>It's really about, to your point, it's about technology, but also processes and people, we can't forget the people part of this. Talk to me a little bit from the people perspective about how you see cloud evolving in the industry. Where are people involved and what are some of the things that you're excited about in terms of the evolution of your role? >>Yeah, In, in some ways for both our, our team internally and when we're working with clients, people in operations tend to be the things that are minimized. It, it tends to focus a lot on the technology, and we like to tell folks, you have to operate in the cloud and operating requires people in process. And so the, the people we know individuals with cloud skills are very much high in demand. And so how do you attract those skills? How do you retain those skills or how do you upskill the individuals in your organization? There's so much opportunity to bring people along. We go back to one of your earlier questions and, and you know, what's the evolution or roles that people, people can look at in, in the cloud, individuals that are in organizations right now where there hasn't been much public cloud adoption, taking those initiatives. >>Going back to another comment of learning, AWS provides so much free training and so much opportunity for individuals to upskill themselves to have growth in, in technology. And cloud is an area, you know, we're going through a recession. Cloud is an area that is still going to be one of the, the, the places that organizations look for answers to say, how do we drive innovation, right? How do we, how do we advance what we're doing from a, a profitability standpoint? And can we leverage, leverage cloud to cloud to do that? So upscaling and investing in yourself in those areas is, is, there's a great opportunity for that. >>There's a huge opportunity in upscaling and investing in ways to improve your own skills. My last question for you is, if we think back the last few years, talk about some of the changes in tech innovation in the workforce that you've seen and what are some of the things that you think are on the horizon? >>Yeah, so there, there's still a great opportunity to, to exploit cloud and in general, I mean, we see so many companies, software companies looking at sas, business models, subscription models. That's still changing. If we think about cloud economics and, and how we, how, how we purchase today. There's still an evolution there. But I think for me, being a, a self, self-proclaimed tech nerd, everything that's happening with AI and ML from an advanced analytics standpoint, the good and the bad. I mean, I think we've gotta look at the, the, the social responsibility behind this. When you talk about models and, and models themselves being diverse. If, if there isn't diverse background building those miles, the, the intentional bias gets built into, into some of those. But then I look at the, the advancements, I mean, it's exciting. We're working with, with, with one of our clients where autonomous taxis is, is something that they're trying to bring to market. >>You know, these are things that we saw in cartoons growing up that are reality and becoming reality in this day and age. So, you know, that's through AI and machine learning and just, you know, all of the new services that, you know, companies like AWS continue to bring out so that people can be innovative and, and and develop. But it's just, that's the, it's, it's exciting for me to, to see that across the board. So transportation from AI and ml, what we saw, what came out from, you know, covid and testing and the data and, and just the advancements of, of that. So there's, there's so many different ways to apply, apply that technology. >>There is the horizon I think is clearly bright. And thank you so much Rochelle, for sharing what you've done, your experiences, how you're helping to make that horizon even brighter. We appreciate your insights, we appreciate your time. Thank you for joining us in the program today. Thank you Lisa for Rochelle Mans. I'm Lisa Martin. You're watching The Cubes coverage of the special program series Women of the Cloud, brought to you by aws. Thanks for watching.

Published Date : Nov 11 2022

SUMMARY :

Rochelle, great to have you on the program. to public cloud or, or adopt public cloud as part as their overall Talk a little bit about some of your recommendations. And whether she's been in the industry for, you know, those that can be sponsors to help elevate you along your journey. know, especially if it's something that may on the surface appear to be out of, out of reach. And it's, it's a little bit about vulnerability, about raising your hand, it really is finding that that balance and when you have a mentor that What are some of the things that you see from attend a lot of meetings, and it, and it's still surprising to see, you And I think you mentioned the difference between a mentorship and, and sponsorship. for example, in the C-suite, those organizations are more profitable. So it doesn't have to be a checkbox for these, you know, diversity inclusion goals because about you and some of the impact that you've been able to have in your career. and many of our clients are, are what you term greenfield, that they've got very little journey that has to start with trust because you transform so much of the business. And to your point, underpinning that has to be trust between the organization and And so the old adage, sometimes you've gotta go slow to go fast and we, If just that moving out of the data center, if we do those interviews with your different teams, It's really about, to your point, it's about technology, but also processes and people, and we like to tell folks, you have to operate in the cloud and operating And cloud is an area, you know, and what are some of the things that you think are on the horizon? When you talk about models and, and models themselves being diverse. learning and just, you know, all of the new services that, you know, companies like AWS of the Cloud, brought to you by aws.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Rochelle MansPERSON

0.99+

twoQUANTITY

0.99+

20 yearsQUANTITY

0.99+

AWSORGANIZATION

0.99+

LisaPERSON

0.99+

threeQUANTITY

0.99+

Elle MansPERSON

0.99+

16QUANTITY

0.99+

Rochelle MannsPERSON

0.99+

Converge Technology SolutionsORGANIZATION

0.99+

10QUANTITY

0.99+

RochellePERSON

0.99+

five yearsQUANTITY

0.99+

Women of the CloudTITLE

0.99+

1989DATE

0.99+

Women of the CloudTITLE

0.99+

18 monthsQUANTITY

0.99+

bothQUANTITY

0.98+

todayDATE

0.98+

over two yearsQUANTITY

0.97+

oneQUANTITY

0.97+

20 yearQUANTITY

0.96+

one thingQUANTITY

0.95+

singleQUANTITY

0.94+

few years agoDATE

0.88+

goodQUANTITY

0.87+

eachQUANTITY

0.79+

three really good friendsQUANTITY

0.78+

The CubesTITLE

0.77+

last two yearsDATE

0.74+

last 10 yearsDATE

0.73+

North AmericaLOCATION

0.65+

CubePERSON

0.64+

yearsDATE

0.51+

1QUANTITY

0.5+

5QUANTITY

0.48+

Patricia Jordan | Women of the Cloud


 

>>Hey everyone, welcome to this Cube's special program series Women of the Cloud, brought to you by aws. I'm your host for the series, Lisa Martin. Very pleased to be joined by Patty Jordan, the VP of enabling processes and technology at Optimus. My next guest, Patty, welcome to the program. >>Hi Lisa. Thank you for having me. >>Tell me a little bit about yourself, a little bit about your role so the audience gets that understanding of exactly who you are. >>Sure thing. Hi, my name is Patty Jordan. As we mentioned, I am originally from Cameroon, Central Africa, but I was raised in the DC area. I'm called and what you call a bank brat. My father worked for an international organization, the the World Bank. Lived in, like I said, grew up in dc, moved to Austin, Texas about seven years ago. Been with Optum for the last nine years of my working career. And I've had multiple roles, but currently my role as is with the enabling technologies and processes, which means that I manage teams that support the platform of a lot of analytics products in Optum. >>Got it. All right. Bank Brett, that's a new one to me. I hadn't heard that. I love that you're a bank, Brit and proud of it. I can tell. Talk to me a little bit about your, the career path that you have navigated and what are some of your sort of tactical and also strategic recommendations for the audiences looking to grow their career in tech? >>So the interesting thing is, I did not start in tech. My background is as an economist. I have a bachelor's of economics from the women, from the College of Women, Mary. I also have a financial master's in public policy from American University. However, I did take some IT classes and as a kid I'm probably dating myself a little bit, but I programmed in dos, so I, I was always excited by it and I had internships as a programmer that helped me pay for my master's degree in when I graduated. I just felt like I was having fun and I was getting paid very well and I was able to pay off my graduate schools. So I just stayed with tech. >>Love that. But it sounds like you had that interest from when you were quite young and as a lot of us and end up in tech, we didn't start there originally. There's a lot of zigzaggy paths to get there. Sounds like you had that as well. What are some of your recommendations for people, either those that are in tech now or aren't who want to get into it and really expand and climb that ladder? >>So definitely, so one of the things to understand is tech could be many different things. Like one of the things could be programming, which I started doing and now dislike intensely. And then another thing could be like being in the business analyst in tech, getting the business requirements versus product management or even, you know, management. And what I would encourage people to do is really focus on what you feel happy doing, which for me is problem solving and collaborating and getting the right people together to solve very complex problems. And if you focus on that then you'll find your, your the role for you even in tech. >>I love that problem solving is such an important skill to be able to have and to cultivate regardless of the industry that you're in. But I'd love to know a little bit more about some of the successes that you've had helping organizations really navigate their cloud journeys, their migration to cloud as we've seen the last couple of years, a massive acceleration to the cloud that was really born outta the pandemic. Talk to me about some of the successes that you've been able to achieve. >>So the first, I guess most obvious thing is understanding the technology. What do you have at your disposal? What do you need for your team to succeed in the cloud or even OnPrem? But what I've learned most in the last four to five years with the projects that I work on, whether it was migrating from a host data center to one that we owned ourselves or migrating from that data center to AWS recently was you really need to get the business organization engaged. And that's not just getting the sponsorship and getting them this to write that check, but really helping them understand how this journey to the cloud is a combined journey between both organizations, right? And they will be able to be more successful as well with us going to the cloud with improved processing with revenue protection because we, there's more tools available with revenue expansion because now we can now expand faster address client needs faster. And you know, so there's various different aspects of going to cloud that are more than just we're using the coolest technology. >>You're a problem solver, has there. And one of the challenges with organizations and from a cloud migration standpoint that we often talk about is it's a cultural migration as well, which is really challenging to do for any type of organization regardless of industry. Do you have a favorite example where as a, as the problem solver, you came in and really helped the organization, the business side understand, be able to transform their cultural direction, understand why cloud migration can be such a facilitator of the business from the top line in a bottom line perspective. >>So from a bottom line perspective, I think the hardest thing for them to understand or what does not compute for them is you can't give them a set. This is what you're gonna cost in the cloud, right? Because the benefit of being in the cloud is being able to scale shrink, et cetera. So that's one hurdle that we're still fighting to be a hundred percent candid. But from a a top line perspective, what's what's been great is we've been able to ramp up more clients with the same, right? So we haven't had to go out and procure more servers, more storage, hire more staff because we're in the cloud and we've actually been able to scale our teams as well because we incorporated the DevOps functions and we do not need a team to manage a data center anymore. So that they absolutely understood, you know, savings ratified, but really just how do we get to market faster? How do we get to revenue faster and how do we get more revenue with the same pool of resources is something that they've really, really resonated with. >>Well, you're starting to speak their language so that to your point that resonates well, but there's so much productivity improvements, efficiencies to be gained by leveraging cloud computing that that really hit the bottom line of an organization that businesses, if you put it in the right way. And it sounds like as the problem solver you have, they understand the immense value and competitive advantage that cloud can bring to their organization and become sort of a ah, the blinders are off. I get it. >>Exactly. Exactly. You're just not trying to, to play with the latest toys, you are actually solving a business problem even before it happens. >>And that's the key solving business problems before they happen. Being able to predict and forecast is huge for businesses, especially as we've seen the last couple of years. Everybody racing to digital, to to pivot, to survive Now to be competitive. If they don't do that and embrace that emerging technology suite, there's a competitor that's right back here that if they're more culturally willing and able to, to be more agile, they're gonna take the place of a competing organization. So yeah, so it absolutely is a huge differentiator for organizations. And it sounds like you've had some great successes there in helping organizations really navigate the challenges, the cultural challenges, but the benefits of cloud computing. Yes. I do wanna talk to you a little bit about in your expertise, diversity is something that is talked about in every industry. We talk about it in tech all the time, there's still challenges there. What are, what's, what are your thoughts on diversity? What are you seeing and what are some of those challenges that are still sitting on the table? >>So I guess the first thing I would say is there's multiple facets to diversity, right? The first one we always lean to is gender and race, but there's also diversity of thought. And being in the healthcare industry is very important for us to have a diversity of thought and experiences so that we can target a lot of these health equity issues that are, you know, that, that are ongoing. So that's one thing that we've, we've been trying to do is making sure that I don't just have people that think like me on the team. And typically that also means not having people that look like me. So making sure that we have the right pipelines to hire for partnering with our, with some of our vendors. AWS for example, is a good one where they had avenues and they had non-profits that they worked with and they connected us with some of our staff augmentation people also did the same thing, really just expanding the scope of where we're looking for talent and, and that helps also bring that diversity of thought and the diversity of gender race into the, into the full >>It is. And it and, and there's also, there's so much data if we follow the data and of course in tech we're all about data. Every company these days, regardless of industry needs to be a data company. If we follow the data, we can see that organizations with, for example, females within the C-suite are far more profitable than those organizations that don't have that even that element of diversity. So the data is demonstrating there's tremendous business value, tremendous competitive advantage, faster time to market, more products and services that can be delivered if there is thought diversity among the entire organization, not just the C-suite. >>Exactly. And and since we have an impact on what is being delivered as an engineering organization, we also need that in engineering, right? One of the things that's very keen right now is machine language and ai. If we don't have the right models for example, then we either introduced bias or perpetuate by it. So we definitely need people on our teams as well that understand how these technologies work, how we can leverage 'em on our data sets so that we could run counter to this bias >>And countering that bias is incredibly important. Machine learning ai, so driven by data, the volumes of data, but the data needs to be as clean and and non-biased as possible. And that's a big challenge for organizations to undertake. Is there advice that you have for those folks watching who might be, I, I don't see me in this organization, I don't feel represented. How can I change that? >>Well, one would be to speak up, right? Even if you don't see you apply for the job, right? And one of the things that we're trying to address even in the DEI space is making sure that our job descriptions are not introducing any biases so that people will eliminate themselves immediately, right? But really just if you have the skill set and you feel like you can ramp up to the talent, then just apply for the job. Talk to somebody. You do have a network whether you realize it or not. So leverage that network. But really like there's this expression that my kid taught me saying, you miss a hundred percent of the shots you don't take, right? So if you don't try, you're not gonna make it by default. If you do try, there's a chance to make it right. At the very least, you build a connection with someone who can potentially help you down the line. >>That is one of my absolute favorite sayings. You miss a hundred percent of the shots that you don't take. So encouraging people to raise their hand there, there are stats, data, speaking of data we've been talking about that, that demonstrate that women are far less likely to apply for jobs like on LinkedIn for example, unless they need 100% of the job requirements, which we all know are quite stringent and not necessary in a lot of cases. So I love your advice of just try raise your hand, ask the question. All the can say is no. And at the end of the day, what is that? It's a word but can also be directional and and really guiding for people on their journey to wherever that, if it's an engineering, cloud, engineering, DevOps, whatever happen that happens to be, raise your hand the question. And to your point, you have a network, it is there, open that up. There's so much potential for people that just raise, I think that's to raise their hand and ask the question. >>And the corollary to that though is I would also encourage people who are in leader leadership roles to be strong allies, right? Like we need to be aware of what biases we might be introducing or candidates that we might be leaving on the table because we're being too stringent because we're not expanding our, our our search, right? So definitely that's something that I've started doing about five, six years old shortly after I moved to Austin, which I kind of beat myself up about not having done before, is really contributing to that community, helping out, being a mentor, being a coach, being a guide. Sometimes it's just reviewing somebody's resume. Other times it's talking to 'em about a role that I have and helping them map their current state to that role. But really just being an ally to everyone and anyone who wants to come into this space. >>I love that. I, and I have a feeling, Patty, that you're a great mentor and ally for those in your organization across organizations and those out there that may not know yet. Patty can be an ally for me. I'd love to get your take in our final minutes on a couple things. One, the, what's next in cloud from your perspective, the things that you've seen, what you've been able to achieve, and how do you see your role evolving in the industry at Optum? >>So what's next in cloud, and we've talked about that a lot, is data. How do we manage all this data? How do we catalog this data, how to reuse this data, how to reshift this data? We have data in various different environments. We're a multi-cloud company. So how do we make sure that we don't have the same data everywhere? Or even if we do, how do we reconcile that? So data, data, data, right? And from data, get to information so that we can monetize it and we can share it. So that's the, that's for me is really next step. I mean we, we know the applications that we can build, we know the analytics that we can build, but if we don't have the right data, we're limiting ourselves. So that's definitely one aspect that I know that we wanna drive. And as far as my role, I was fortunate enough to be provided with the leadership of development of a platform for analytics, which yes, involves data. >>So I'm very excited about this, right? Cuz that's, that's next level for me. I've been typically in roles that protect revenue in the DevOps and operations role. And now I'm in a revenue generating role and it has a shift in mindset. But I, I really appreciate it and I'm really taking everything I've learned up to now as a DevOps team. I knew when the bad things came. So now I'm trying to prevent, prevent my team from pushing bad things down the pipe, right? So I'm just really excited about what's, what's, what's to come because there's so many opportunities for improving the products that we build. And I'm so excited to be part of this platform. >>There are the, the horizon of opportunities is really endless, which is exciting. And to your point about data, like I mentioned, for every company, whether it's your grocery store, a retailer, the postal service has to become a data driven company. Cuz as consumers we expect that we bring that into our business lives and we expect to be able to transact in business as easily as we do on the consumer side. And that all requires organizations to not just have access to data, but to be able to build the right data infrastructure, toing insights to act on that, to feed the AI and ML models so that products services can get better, more personalized and meet the demands of the ever demanding consumer, which I know I, one of them. I wanna ask you one more final question and that is, what do you think some of the biggest challenges have been with, with respect to tech innovation in the workforce over the past five years? What are some of those things that, that you've seen that you think we're on the right track moving forward to eliminate some of these? >>That is a good question. I think one of the biggest challenges for me has been not to remain in the status quo, right? Like not to do something because it's what we've been doing, but being in the cloud allows us with so many opportunities where we can fail fast. That let's give it a shot, let's do a quick sprint, let's figure out whether it is a possibility or not. Eliminate it if it's not, and then keep moving, right? Like we don't have the same development methodology before that we had to do three months, five months, six months. You can iterate in two week chunks, get it done, confirm your, your statement or not, or negate it, but at the very least have an answer, right? So that for me is the biggest challenge. We're aware of the thinking we're just not doing. So it'd be very exciting when we, when we pivot from that and really start innovating because we have the time >>Innovating because we have the time, as I mentioned, you know, with the demand of consumers, whether it's consumer in, in on the personal side, business side, those demands are there. But the, the exciting thing is to your point, the innovations are there. The capabilities are there, the data is there. We have a lot of what we need to be able to take advantage of that. So it's gonna be exciting to see what happens over the next few years. Patty, it's been such a pleasure having you on the cube today. Thank you so much for joining. You are clearly a, a leader in terms of women in the cloud. We appreciate what you're doing, your insights, your recommendations, and your insights as to what you see in the future. You've been a great guest. Thank you so much for joining me today. >>Thank you for having me Lisa. >>My pleasure For Patty Jordan, I'm Lisa Martin. You're watching The Cubes coverage of Women of the Cloud, brought to you by aws, a special program series. We thank you so much for watching. Take care.

Published Date : Nov 11 2022

SUMMARY :

brought to you by aws. you are. I'm called and what you call a the audiences looking to grow their career in tech? I have a bachelor's of economics from the women, from the College of Women, But it sounds like you had that interest from when you were quite young and So definitely, so one of the things to understand is tech could be many different things. I love that problem solving is such an important skill to be able to have and to cultivate regardless migrating from that data center to AWS recently was you really need to And one of the challenges with organizations and from a being in the cloud is being able to scale shrink, et cetera. And it sounds like as the problem solver you have, they understand the immense You're just not trying to, to play with the latest toys, you are actually solving a business problem even And that's the key solving business problems before they happen. So making sure that we have the right And it and, and there's also, there's so much data if we follow the data and of course in tech we're all And and since we have an impact on what is being delivered as an engineering organization, And that's a big challenge for organizations to undertake. At the very least, you build a connection with someone who can potentially help you down the You miss a hundred percent of the shots that you don't take. And the corollary to that though is I would also encourage people who are in leader leadership I, and I have a feeling, Patty, that you're a great mentor and ally for those in your organization across get to information so that we can monetize it and we can share it. in roles that protect revenue in the DevOps and operations role. a retailer, the postal service has to become a data driven company. So that for me is the biggest challenge. Innovating because we have the time, as I mentioned, you know, with the demand of consumers, Women of the Cloud, brought to you by aws, a special program series.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Patty JordanPERSON

0.99+

Patricia JordanPERSON

0.99+

Lisa MartinPERSON

0.99+

PattyPERSON

0.99+

LisaPERSON

0.99+

100%QUANTITY

0.99+

six monthsQUANTITY

0.99+

five monthsQUANTITY

0.99+

AWSORGANIZATION

0.99+

World BankORGANIZATION

0.99+

AustinLOCATION

0.99+

three monthsQUANTITY

0.99+

two weekQUANTITY

0.99+

Austin, TexasLOCATION

0.99+

DCLOCATION

0.99+

Women of the CloudTITLE

0.99+

OptimusORGANIZATION

0.99+

American UniversityORGANIZATION

0.99+

LinkedInORGANIZATION

0.99+

firstQUANTITY

0.99+

oneQUANTITY

0.98+

todayDATE

0.98+

OptumORGANIZATION

0.98+

OneQUANTITY

0.97+

College of Women, MaryORGANIZATION

0.97+

hundred percentQUANTITY

0.97+

both organizationsQUANTITY

0.97+

one thingQUANTITY

0.96+

one aspectQUANTITY

0.96+

CubeORGANIZATION

0.92+

first oneQUANTITY

0.9+

five yearsQUANTITY

0.9+

first thingQUANTITY

0.89+

last couple of yearsDATE

0.88+

Cameroon, Central AfricaLOCATION

0.88+

pandemicEVENT

0.86+

The CubesTITLE

0.85+

dcLOCATION

0.85+

OnPremORGANIZATION

0.82+

yearsQUANTITY

0.82+

BritLOCATION

0.81+

about fiveQUANTITY

0.8+

past five yearsDATE

0.77+

six years oldQUANTITY

0.73+

one moreQUANTITY

0.73+

about seven years agoDATE

0.72+

yearsDATE

0.71+

one hurdleQUANTITY

0.7+

fourQUANTITY

0.65+

Bank BrettORGANIZATION

0.64+

coupleQUANTITY

0.62+

last nineDATE

0.57+

questionQUANTITY

0.56+

lastDATE

0.46+

Data Cloud Catalysts - Women in Tech


 

>>thank you. You know, haven't been in technology my entire career. Uh, technology and data has really evolved from being the province of a few and an organization to frankly being critical to everyone's business outcomes. Now, every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation. Probably the last 57 years we've all talked about disruptor be disrupted. At the core of that digital transformation is the use of data, data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So Data has involved as being, I would say, almost tactical in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. Mhm. >>No. Yeah, I I agree with Lisa. It has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology. Every business is now a technology business. Every business is a data business. It is the way that they go to market, shaped the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in health care doesn't matter. Right? Data is necessary for every business to survive and thrive. And I remember at the beginning my career It was you know, data was always important, but it waas about storing data. It was about giving people individual reports. It was about supplying that data toe one person or one business unit in silos, and it then evolved right over the course of time into integrating data and to saying, Alright, how does one piece of data correlate to the other? And how can I get insights out of that data now? It's gone to the point of how do I use that data to predict the future? How do I use that data toe automate the future? How do I use that data? Not just for humans to make decisions, but for other machines to make decisions right, which is a big leap, Onda big change and how we use data, how we analyze data and how we use it for insights and evolving our businesses. Yeah. >>Yeah. Well, since I'm on the snowflake board, I'll talk a little bit about the snowflake data cloud. You know, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data into combined with your own data, and we're wrapping a governance structure around it and feeding it out to your employees so that they can get their jobs done. And it's a simple is that, uh I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here. And companies are scrambling to catch up by providing the right amount of data, uh, collaboration tools, workflow tools for their workers to get their jobs done. You know, it used to be as prior, people have mentioned that in order thio work with data. You have to be a data scientist. But, you know, I was an auditor back in the day, and we used to work on 16 columns, spreadsheets. And now, if you're an accounting major coming out of college, joining an auditing firm, you have to be checked and data savvy because you're going to be extracting, manipulating, analyzing and auditing data that massive amounts of data that sit in your client's I T systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection. But it's actually their data. There are 360 degree view of the customer, and so, if you're a merchant or urine strategy or marketing or talent or the co CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with. Data. >>Yeah, absolutely. You know, most enterprises today are, I would say, hybrid multi cloud enterprises. What does that mean? That means that we have data sitting on Prem. We have data sitting in public clouds through software. As a service applications. We have a data everywhere. Most enterprises have data everywhere. Certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that data cloud is addressing is the area around data portability and mobility because I have data sitting in various locations through my enterprise. How doe I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes and a blue shield of California. One of our key initiatives is what we call an experience cube. What does that mean? It means how doe I drive transparency of data between providers, members and payers so that not only do I reduce overhead on providers and provide them a better experience our hospital systems or doctors, But ultimately, how do we have the member have at their power of their fingertips the value of their data holistically so that we're making better decisions about their health care? You know, one of the things Teresa was talking about was the use of this data, and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists. Yes, we need those data scientists to help us build a I models to really drive and tackle these tough hold, tougher challenges, business problems that we may have in our environments. But everybody in the company, both on the I T side both on the business side really need to understand. Of how do we become a data insights driven enterprise? Put the power of the data into everyone's hands so that we can accelerate capabilities right and leverage that data toe ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership, is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California took, >>oh, great question. And I am so passionate about this for ah, lot of reasons, not the least of which is I have two daughters of my own. Andi, I know how important it is for women and young girls. Toe actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early start in early education, building confidence of young girls that they can do this showing them role models. You know, we have Deloitte just partnered with L. A B engineer toe actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes and text solve everyday problems on DSO, really helping to get people's minds around Tech is not just in the back office coating on a computer. Tech is about solving problems together. That helped us a citizens as customers, right and as humanity s. So I think that's important. I also think we have to expand that definition of tech. As we just said. It's not just about right database design. It's not just about, you know, Java and python coding. It's about design. It's about the human machine interfaces. It's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say, Look, we have a absolute imperative to get a diverse population of people, not just women but minorities. You know, those with other types of backgrounds, disabilities, etcetera involved because this data is being used to drive decision making, and if we're all involved right and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just because we haven't involved a diverse enough group of people around it. Absolutely. Lisa. Curious about your thoughts on this? >>I agree with everything that she has said. I've been passionate about this area. I think it starts with First. We need more role models way. Need more role models as women, uh, in these leadership roles throughout various sectors, and it really is. It starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility. I think all of us as female executives that if you have exceeded the table toe leverage that seat at the table to drive change, to bring more women forward, more diversity forward into the board room and into our executive suites. I also want to touch on a point that she had made about women were the largest consumer group in the company. Um, yet we're consumers, but we're not builders. This is why it's so important that we start changing that perception of what tech is, and I agree that it starts with their young girls. We know the data shows that we lose our young girls by middle school. Very heavy peer pressure. It's not so cool to be smart to do robotics or be good in math and science. We start losing our girls in middle school, so they're not prepared when they go to high school. And they're not taking those classes in order to major in these stem fields in college. So we have to start the pipeline early, Um, with our girls. And then I also think it's a measure of what your boards air doing. What is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of effort. One of the things that certainly is concerning to me is during this pandemic. I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. What? Yeah, >>um, I'd encourage you to view to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them in those roles. Opening your network, giving very candid feedback. And we need men to participate to. There are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >>Let's say Look around your teams, see who's on them and make deliberate decisions about diversifying those teams as positions. Open up. Make sure that you have a diverse set of candidates. Make sure that there are women that are part of that team on DNA. Make sure that you are actually hiring and putting people into positions based on potential, not just experience. >>Wow, it's hard Thio with Nishida and with Tricia shared, I think we're very powerful actions. I think it starts with us, uh, taken action at our own table, making sure you're driving diverse panels and hiring um, setting goals for the company. Having your board engaged in holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >>Yeah, but

Published Date : Nov 20 2020

SUMMARY :

in some sense over my technology career to really being a strategic And I remember at the beginning my career And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker both on the business side really need to understand. and boys in the early elementary age to talk about how heroes and text at the table to drive change, to bring more women forward, more diversity forward And so we need you to be part of the solution. Make sure that you have a diverse set of candidates. and driving to those goals will help us all see a better outcome with

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
TriciaPERSON

0.99+

LisaPERSON

0.99+

TeresaPERSON

0.99+

NishidaPERSON

0.99+

360 degreeQUANTITY

0.99+

16 columnsQUANTITY

0.99+

two daughtersQUANTITY

0.99+

ThioPERSON

0.99+

oneQUANTITY

0.99+

DeloitteORGANIZATION

0.99+

CaliforniaLOCATION

0.99+

OneQUANTITY

0.99+

bothQUANTITY

0.99+

JavaTITLE

0.99+

pythonTITLE

0.98+

850,000 womenQUANTITY

0.98+

FirstQUANTITY

0.98+

one personQUANTITY

0.98+

one pieceQUANTITY

0.97+

todayDATE

0.97+

one business unitQUANTITY

0.96+

L. A BORGANIZATION

0.96+

Blue ShieldORGANIZATION

0.93+

last four monthsDATE

0.93+

four womenQUANTITY

0.92+

Warby ParkerORGANIZATION

0.91+

pandemicEVENT

0.87+

last 57 yearsDATE

0.77+

PremORGANIZATION

0.48+

Data Cloud Catalysts - Women in Tech | Snowflake Data Cloud Summit


 

>> Hi and welcome to Data Cloud catalyst Women in Tech Round Table Panel discussion. I am so excited to have three fantastic female executives with me today, who have been driving transformations through data throughout their entire career. With me today is Lisa Davis, SVP and CIO OF Blue shield of California. We also have Nishita Henry who is the Chief Innovation Officer at Deloitte and Teresa Briggs who is on a variety of board of directors including our very own Snowflake. Welcome ladies. >> Thank you. >> So I am just going to dive right in, you all have really amazing careers and resumes behind you, am really curious throughout your career, how have you seen the use of data evolve throughout your career and Lisa am going to start with you. >> Thank you, having been in technology my entire career, technology and data has really evolved from being the province of a few in an organization to frankly being critical to everyone's business outcomes. Now every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation, probably the last five, seven years, we've all talked about, disrupt or be disrupted, At the core of that digital transformation is the use of data. Data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So data has involved as being I would say almost tactical, in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. >> Nishita curious your take on, how you have seen data evolve? >> Yeah, I agree with Lisa, it has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology, every business is now a technology business. Every business is a data business, it is the way that they go to market, shape the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in healthcare doesn't matter, right? Data is necessary for every business to survive and thrive. And I remember at the beginning of my career, data was always important, but it was about storing data, it was about giving people individual reports, it was about supplying that data to one person or one business unit in silos. And it then evolved right over the course of time into integrating data into saying, alright, how does one piece of data correlate to the other and how can I get insights out of that data? Now, its gone to the point of how do I use that data to predict the future? How do I use that data to automate the future? How do I use that data not just for humans to make decisions, but for other machines to make decisions, right? Which is a big leap and a big change in how we use data, how we analyze data and how we use it for insights and involving our businesses. >> Yeah its really changed so tremendously just in the past five years, its amazing. So Teresa we've talked a lot about the Data Cloud, where do you think we are heading with that and also how can future leaders really guide their careers in data especially in those jobs where we don't traditionally think of them in the data science space? Teresa your thoughts on that. >> Yeah, well since I'm on the Snowflake Board, I'll talk a little bit about the Snowflake Data Cloud, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data in to combine with your own data and we're wrapping a governance structure around it and feeding it out to your employees so they can get their jobs done, as simple as that. I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here and companies are scrambling to catch up by providing the right amount of data, collaboration tools, workflow tools for their workers to get their jobs done. Now, it used to be as prior people have mentioned that in order to work with data you had to be a data scientist, but I was an auditor back in the day we used to work on 16 column spreadsheets. And now if you're an accounting major coming out of college joining an auditing firm, you have to be tech and data savvy because you're going to be extracting, manipulating, analyzing and auditing data, that massive amounts of data that sit in your clients IT systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection, but it's actually their data, their 360 degree view of the customer. And so if you're a merchant, or you're in strategy, or marketing or talent or the Co-CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with data. >> Yeah I think its just going to be organic to every role going forward in the industry. So, Lisa curious about your thoughts about Data Cloud, the future of it and how people can really leverage it in their jobs for future leaders. >> Yeah, absolutely most enterprises today are, I would say, hybrid multicloud enterprises. What does that mean? That means that we have data sitting on-prem, we have data sitting in public clouds through software as a service applications. We have a data everywhere. Most enterprises have data everywhere, certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that Data Cloud is addressing is area around data portability and mobility. Because I have data sitting in various locations through my enterprise, how do I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes? And at Blue Shield of California, one of our key initiatives is what we call an Experienced Cube. What does that mean? That means how do I drive transparency of data between providers, members and payers? So that not only do I reduce overhead on providers and provide them a better experience, our hospital systems are doctors, but ultimately, how do we have the member have it their power of their fingertips the value of their data holistically, so that we're making better decisions about their health care. One of the things Teresa was talking about, was the use of this data and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists, yes we need those data scientists to help us build AI models to really drive and tackle these tough old, tougher challenges and business problems that we may have in our environments. But everybody in the company both on the IT side, both on the business side, really need to understand of how do we become a data insights driven enterprise, put the power of the data into everyone's hands so that we can accelerate capabilities, right? And leverage that data to ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California. >> Yeah its really, really exciting time. I want to shift gears a little bit and focus on women in Tech. So I think in the past five to ten years there has been a lot of headway in this space but the truth is women are still under represented in the tech space. So what can we do to attract more women into technology quite honestly. So Nishita curious what your thoughts are on that? >> Great question and I am so passionate about this for a lot of reasons, not the least of which is I have two daughters of my own and I know how important it is for women and young girls to actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early started early education, building confidence of young girls that they can do this, showing them role models. We at Deloitte just partnered with LV Engineer to actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes in tech solve everyday problems. And so really helping to get people's minds around tech is not just in the back office coding on a computer, tech is about solving problems together that help us as citizens, as customers, right? And as humanity, so I think that's important. I also think we have to expand that definition of tech, as we just said it's not just about right, database design, It's not just about Java and Python coding, it's about design, it's about the human machine interfaces, it's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say look we have a absolute imperative to get a diverse population of people, not just women, but minorities, those with other types of backgrounds, disabilities, et cetera involved because this data is being used to drive decision making in all involved, right, and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just 'cause we haven't involved a diverse enough group of people around it. >> Absolutely, lisa curious about your thoughts on this. >> I agree with everything Nishita said, I've been passionate about this area, I think it starts with first we need more role models, we need more role models as women in these leadership roles throughout various sectors. And it really is it starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility, I think all of us as female executives that if you have a seat at the table to leverage that seat at the table to drive change, to bring more women forward more diversity forward into the boardroom and into our executive suites. I also want to touch on a point Nishita made about women we're the largest consumer group in the company yet we're consumers but we're not builders. This is why it's so important that we start changing that perception of what tech is and I agree that it starts with our young girls, we know the data shows that we lose our like young girls by middle school, very heavy peer pressure, it's not so cool to be smart, or do robotics, or be good at math and science, we start losing our girls in middle school. So they're not prepared when they go to high school, and they're not taking those classes in order to major in these STEM fields in college. So we have to start the pipeline early with our girls. And then I also think it's a measure of what your boards are doing, what is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of efforts. One of the things that certainly is concerning to me is during this pandemic, I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. >> Yeah its really a critical time and now we are coming to the end of this conversation I want to ask you Teresa what would be a call to action to everyone listening both men and women since its to be solved by everyone to address the gender gap in the industry? >> I'd encourage each of you to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them and those roles opening your network, giving very candid feedback. And we need men to participate too, there are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >> Nishita real quickly what would be your call to action to everyone? >> I'd say look around your teams, see who's on them and make deliberate decisions about diversifying those teams, as positions open up, make sure that you have a diverse set of candidates, make sure that there are women that are part to that team and make sure that you are actually hiring and putting people into positions based on potential not just experience. >> And real quickly Lisa, we'll close it out with you what would your call to action be? >> Wow, it's hard to what Nishita and what Tricia shared I think we're very powerful actions. I think it starts with us. Taking action at our own table, making sure you're driving diverse panels and hiring setting goals for the company, having your board engaged and holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >> Great advice and great action for all of us to take. Thank you all so much for spending time with me today and talking about this really important issue, I really appreciate it. Stay with us.

Published Date : Nov 9 2020

SUMMARY :

I am so excited to have three fantastic So I am just going to dive right in, and remain relative in the market today. that data to one person in the data science space? and feeding it out to your employees just going to be organic And leverage that data to ultimately So I think in the past five to ten years and boys in the early elementary age about your thoughts on this. that our families are having to navigate and sponsor the high potential women that are part to that team Wow, it's hard to what Nishita and talking about this

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
TriciaPERSON

0.99+

LisaPERSON

0.99+

NishitaPERSON

0.99+

DeloitteORGANIZATION

0.99+

Lisa DavisPERSON

0.99+

TeresaPERSON

0.99+

Teresa BriggsPERSON

0.99+

Nishita HenryPERSON

0.99+

360 degreeQUANTITY

0.99+

one personQUANTITY

0.99+

JavaTITLE

0.99+

two daughtersQUANTITY

0.99+

Snowflake BoardORGANIZATION

0.99+

todayDATE

0.99+

OneQUANTITY

0.99+

PythonTITLE

0.99+

oneQUANTITY

0.99+

Blue shieldORGANIZATION

0.99+

one pieceQUANTITY

0.99+

bothQUANTITY

0.98+

850,000 womenQUANTITY

0.98+

Blue ShieldORGANIZATION

0.98+

CaliforniaLOCATION

0.98+

Snowflake Data Cloud SummitEVENT

0.98+

Warby ParkerORGANIZATION

0.97+

pandemicEVENT

0.97+

eachQUANTITY

0.96+

one business unitQUANTITY

0.95+

firstQUANTITY

0.93+

four womenQUANTITY

0.93+

ten yearsQUANTITY

0.91+

seven yearsQUANTITY

0.91+

LV EngineerORGANIZATION

0.89+

last four monthsDATE

0.88+

past five yearsDATE

0.83+

Women in Tech Round Table PanelEVENT

0.81+

16 column spreadsheetsQUANTITY

0.8+

Data CloudEVENT

0.78+

Data CloudORGANIZATION

0.77+

three fantastic female executivesQUANTITY

0.77+

Experienced CubeORGANIZATION

0.74+

SVPPERSON

0.67+

fiveQUANTITY

0.64+

pastDATE

0.61+

Snowflake Data CloudORGANIZATION

0.57+

DataTITLE

0.53+

lisaPERSON

0.51+

last fiveDATE

0.51+

SnowflakeORGANIZATION

0.5+

CloudORGANIZATION

0.49+

Mallun Yen, Operator Collective | CloudNOW 'Top Women In Cloud' Awards 2020


 

>>from Menlo Park, California In the heart of Silicon Valley, it's the Cube covering cloud now. Awards 2020 Brought to you by Silicon Angle Media. Now here's Sonia category. >>Hi, and welcome to the Cube. I'm your host Sonia category, and we're on the ground at Facebook headquarters in Menlo Park, California covering Cloud now's top women entrepreneurs in Cloud Innovation Awards. >>Joining us today is Melon Yen, founder and partner of operator Collective Madeleine, Welcome to the Cube. Thank you so much. So tell us a little bit about your background. >>So Operator Collective is actually my fourth organization that been apart of starting, and all of them have had an aspect of it that had a strong community to it. And so that was one of the reasons why, um, as you hear about in a second, I could put together this kind of crazy idea for a fund that looks like no other. >>Um, So what inspired you to start this company? And how did you navigate getting funding? >>Sure. So? So, because that operator collective is my fourth company. The 1st 1 was actually a nonprofit. The 2nd 1 was a venture backed company that we took from 0 to 100 million in public in less than three years, and the 3rd 1 was something called Faster, which is the world's largest B two b B two b community for SAS Softwares of service, the company that was a venture backed startup that we took from 0 to 100 million in public in less than three years. Even though I helped launch it, I didn't actually officially joined as an employee until about 18 months in, and by that time it's employees 65 I noticed a number of things, which is there were largely homogenous group of people who were there before me, all really great people. But you tend to know people like you and the hyper growth stages of startups. You tend to turn around and say, Who can I get? And so you and you turn to the people that you know, And so you end up with companies that look like yourself and so spent a lot of time looking at what was going on in the venture world, which is that in the area that I focus on, which is enterprise and software enterprise software. It is over 90% male in terms of veces as well as founders and the world revolves around in the venture world revolves around veces and founders. And so I looked around and said, Well, where the operators, the people who build and grow and scale up these companies, they're largely not. They're not efficiently and effectively part of this ecosystem and then second, where the women and people of color And so but as I started to dig in more and talk to people, what I realized was that the VCs and founders actually wanted to bring in the operators. They wanted to bring in the people with different backgrounds, but the network's didn't naturally overlap. And so I thought, there's got to be a way to bring them in, because I know the operators and the operators also want to participate. But the system isn't optimized to make it efficient or friendly are comfortable for them to be able to participate. So that's why I decided to put operator collective together. >>Wow, So you are key noting today for cloud. Now, um, what has this experience been like? And what is the main message you want to give to the award winners and to the cloud now community. >>So it's incredibly inspiring to be with all of the women who are being honored tonight as well as, frankly, the organizers. The organization itself Cloud now is incredibly impactful. And so one of the reasons I was so excited to be asked is a number of the women who were being honored. I either know or have heard of. And the recognition is something that is very important because we need to tell the stories and recognize these people who are not. Maybe the usual suspects, the ones who maybe not our everyday names. And so I was super excited to be here. >>So you were talking about how it's about 90% male in the VC and founder community, Um, in one of your articles, which are amazing, by the way you said, Don't let the excuse of cultural fit be a vehicle for perpetuating sameness, and I thought that was so profound. So, um, are you still seeing this notion of cultural fit being a huge issue and if so, what can be done? Teoh mitigate it? Yeah, I think there's >>more awareness now of the fact that if you hire for cultural fit, you'll end up with 65 people who are exactly like you. And that's not optimizing for a successful company because right there studies that show that diverse teams outperform out innovate, homogeneous teams. But what's also interesting is the same study says that, but homogeneous teams are more certain that they've gotten to the right answer, even if they've got into the answer less less often than the diverse teams. And so when you have people who are just like you, then everyone agrees with each other than you don't realize that. Maybe there's another way of looking at something and so cultural fit is is a warning sign. I think to say that. Okay, well, there just like me, I'm very comfortable sometimes. Being uncomfortable is good. >>That's a great message. I think it's really hard to to say like, Oh, I'm okay with being comfortable. Um, so in, in in in one of your other articles, you bring up this idea of, um, don't check all the boxes, but rather fill in the gaps. So can you explain more about that? >>Yeah. So the idea behind that is, if you look for only the typical candidates. The ones who maybe think of a startup founder went to Stanford. Where's the hoodie? Right? Did computer science then that's fine. There are plenty of those people who have been successful, but you're ignoring all the people who didn't. And so, in fact, I'm the beneficiary of people who were willing to not just check all the boxes because I >>didn't >>check any of the boxes. If you look at, if you look at my background, I should not have been able to raise. Is the first time fund and a first time fund manager to be able to raise a $50 million fund because I'm a um Ah, let's see, I'm a solo GP, right? So, General partner who hasn't been a VC before with the first time fund, I don't have the traditional venture background. My previous background was I was an intellectual property attorney. Um, then help start a company as a result of that and then and then also when you check the boxes, 40% of the seas went to Stanford or Harvard, and when you look at the numbers, I didn't check all the boxes, but precisely because I didn't check all the boxes, I was able to actually look at this differently and say, Hey, that's not the model that that I want to build. And frankly, if I tried to build the same model that everyone else did, my background so doesn't look like anything. I wouldn't have been successful. And by taking it and saying, Look, I'm gonna build a model that's totally different from the ground up that allowed me to build a platform in a community that looked like no one else is as a result of that was able to raise money from institutional investors, for instance, which very rarely back first time funds. And so, by not checking all the boxes, um, I was able to build a model, but by other people also saying, Look, she doesn't check any of our typical boxes. But we >>would like this >>idea because it's so different than everyone else is. We will. We are now, you know, part of the fund >>and sometimes different is good, and it's what's what's needed? Absolutely. Um, so speaking of that, um, in terms of operator collective, what workplace environment are you trying to strive for. >>So what we say is we seek to back founders from all backgrounds who believe you share are believed that culture, diversity and operational excellence are a key part of building truly great companies. So we strive to be inclusive way. We strive to have a variety of backgrounds. We use a lot of the tools that of the companies, because we focus only on enterprise and B two B software and technology and infrastructure. And so we also try to use a lot of those tools. So we are mostly women team and we are distributed team. We largely work out of our homes and we work a lot on Zoom and we all a lot of us have kids too, and so what we do is we adjust the schedule so we can do drop off in the morning. We work like crazy, right? We work long hours, but we also do it so that people can can take their kids to doctor's appointments or pick up their kids at the end of the day. But we what was important to me was that we created environment that worked with our busy lives, and it wasn't that we were trying to take, take take these incredibly talented women and make it fit into just the corporate norm. Because you can have an incredibly successful work relationship. I mean, you can have an incredibly successful, um career if you don't have to sacrifice everything else in your life for it, >>right? Right. And that balance is so important. Um, so what advice would you give to aspiring female entrepreneurs who maybe have, ah, not so technical background or who are struggling to navigate in this male dominated industry. >>So one of the things >>I talked about in my keynote today was was that you never get this right. You're never going to raise a fund. If if you do this, you're never gonna raise a fund. And so when you're starting a company, you will go when you talk to a lot of people as you should, because you will get lots of great information. Ah, lot of people are going to say, Well, you're never gonna have a You're never going to start a company if you don't have a technical co founder never going to start a company. If you're gonna try to do X and So while you some might say, Well, you should just ignore those people actually say, Don't ignore those people because they are saying that other people are going to think that too. But think of a way to counter that. And that actually help make the operator collective business model stronger. Because we said Okay, we know that's gonna be the mindset. Let's turn it around and actually make this a strength. And so, for female founders or any founders, what I would say is listen to a lot of people talk to a lot of people here what they have to say. Ultimately, trust your instinct. Trust your gut. And because you know what's best for the company that you're trying to build. >>Great words of advice. Melon. Thank you so much for being on the Cube. Thank you >>so much for having me. Absolutely. >>I'm Sonita Gari. Thanks for watching the Cube. Stay tuned for more. >>Yeah, yeah, yeah.

Published Date : Feb 12 2020

SUMMARY :

to you by Silicon Angle Media. I'm your host Sonia category, and we're on the ground at Facebook headquarters in Menlo Park, Thank you so much. And so that was one of the reasons why, um, as you hear about in a second, And so you and you turn to the people that you know, And what is the main message you want to give to the award winners and to the cloud now community. And so one of the reasons I was so excited to be asked is a number of the women who were being honored. So you were talking about how it's about 90% male in the VC and founder community, And so when you have people who are just like you, then everyone agrees So can you explain more about that? And so, in fact, I'm the beneficiary of people who were willing to not just check all the boxes because Is the first time fund and a first time fund manager to be able to raise a $50 million fund because I'm you know, part of the fund um, in terms of operator collective, what workplace environment are you trying to strive for. I mean, you can have an incredibly successful, Um, so what advice would you give to aspiring I talked about in my keynote today was was that you never get this right. Thank you so much for being on the Cube. so much for having me.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Sonita GariPERSON

0.99+

MelonPERSON

0.99+

40%QUANTITY

0.99+

Mallun YenPERSON

0.99+

Silicon Angle MediaORGANIZATION

0.99+

FacebookORGANIZATION

0.99+

Melon YenPERSON

0.99+

$50 millionQUANTITY

0.99+

Menlo Park, CaliforniaLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

oneQUANTITY

0.99+

less than three yearsQUANTITY

0.99+

Menlo Park, CaliforniaLOCATION

0.99+

65 peopleQUANTITY

0.99+

todayDATE

0.99+

0QUANTITY

0.99+

fourth companyQUANTITY

0.99+

first timeQUANTITY

0.98+

fourth organizationQUANTITY

0.98+

Collective MadeleineORGANIZATION

0.98+

over 90%QUANTITY

0.98+

100 millionQUANTITY

0.98+

65QUANTITY

0.97+

CubeORGANIZATION

0.96+

tonightDATE

0.96+

secondQUANTITY

0.96+

Cloud Innovation AwardsEVENT

0.96+

about 18 monthsQUANTITY

0.95+

StanfordORGANIZATION

0.95+

Awards 2020EVENT

0.95+

HarvardORGANIZATION

0.94+

FasterORGANIZATION

0.94+

CloudNOWORGANIZATION

0.92+

3rd 1QUANTITY

0.91+

ZoomORGANIZATION

0.89+

about 90%QUANTITY

0.86+

1st 1QUANTITY

0.85+

2nd 1QUANTITY

0.83+

SoniaORGANIZATION

0.8+

Operator CollectiveORGANIZATION

0.8+

Top Women In Cloud' Awards 2020EVENT

0.79+

CloudORGANIZATION

0.73+

SAS SoftwaresORGANIZATION

0.72+

StanfordLOCATION

0.62+

SoniaPERSON

0.48+

Mada Seghete, Branch | CloudNOW 'Top Women In Cloud' Awards 2020


 

>>Trump and low park California in the heart of Silicon Valley. It's the cube covering cloud now. Awards 2020 brought to you by Silicon angle media. Now here's Sonya to garden. >>Hi and welcome to the cube. I'm your host Sonia to Gary. And we're on the ground at Facebook headquarters in Menlo park, California covering cloud now's top women entrepreneurs in cloud innovation awards. Joining us today is modest to get day, the cofounder of branch motto. Welcome to the cube. Thank you so much for having me. So you're receiving an award today for being a top female entrepreneur in cloud innovation. How does that feel? >>It feels awesome. I'm humbled to be in such amazing company with some great ladies that have started really great companies, so pretty excited to be here. >>Great. So just give us a brief overview of your background. >>Sure. Uh, my background, well, I probably don't have the regular Silicon Valley background. I was born and raised in communist Romania, uh, in a pretty small town called Barco, uh, in the Rijo Romania called Moldavia. I was very good at math. Um, and my parents, uh, pushed me to explore applying to schools in the United States, which I did. Um, and I applied to 23 colleges and the DOB, uh, getting a full scholarship from Cornell where I studied computer engineering. Um, I dreamt of working for big companies, which I did for a while, uh, until one day when I remember I was doing a master's to Stanford and one professor told me I was, I told him, I was like, I don't think I could ever start a company. And he was like, what if you don't? Like, who do you think? Well, so I was like, Oh, I never thought about it that way. Um, and that's when I think my entrepreneurial dream started. And a few years later I started, um, phone co-founders and started a few different companies that eventually ended up being branch. That's a long answer to your question. >>No, that's perfect. So what inspired you to start branch and how did you navigate getting funding? >>Um, it's a, it's an interesting story. I think we came together, my cofounders and I were in business school, Stanford, we all want to start a company and we did what all business school students do. We just started something that sounded cool but maybe it didn't have such a big market. Um, and uh, then pivoted and ended up building an app. So we worked on an app or the mobile photo printing app called kindred. We worked on the Apple for quite some time. It was, um, over a year we sold over 10,000 photo books. I've seen a lot of images of babies and pets and we reviewed manually every single book and we had a really hard time growing. So if you think about the mobile ecosystem today, and if you compare it to the web on the web, the web is a pretty democratic system. >>You, um, you have the HTTP protocol and you are able to put together a website and make sure that the website gets found through social media to research to all this other platforms. Apps are much harder to discover. Um, the app ecosystem is owned by the platforms. And we had a really hard time applying. I was coming from the web world and all the things I had done to market websites just in the work with the apps. And it was hard. Uh, you know, you could only Mark at the top and how out all the content inside the app. That's a lot more interesting than the app itself. So we, we felt that we were like really, really struggling and we would need it to kind of shut the company down. And then we realized that one of the things that we were trying to build for us to a disability to allow people to share and get to content within the app, which is in our case was photo books was actually something that everyone in the ecosystem needed. >>So we, we asked a lot of people and it seemed like this was a much bigger need. Uh, then, you know, the photo books. And, uh, we had started to already build it to solve our own problem. So we started building a linking and attribution platform, um, to help other app. And mobile companies grow and understand their user journey and help build like interesting connections for the user. So, you know, our mission is to, um, to help people discover content within apps, uh, through links that always work. Uh, and it's been a wonderful, like an F pretty exciting journey ever since. That's really inspiring and, and solving a real world problem, a real world problem. >> So it's interesting when you ask about fundraising. Uh, it was so hard to raise money for the photo book app. And we raised actually from, uh, uh, pay our ventures and they actually, even now I remember, uh, the guy patch man sat us down in a very Silicon Valley fashion at the rosewoods and was a very hot day and there was like Persian tea being served and he gave us money and he said, you know, I just want to do something. >>I am not investing in the idea. I'm investing in you as a team. Uh, and if you pivot away from photo books, you know, uh, which we did and I think we pivoted the way because we ended up finding a much, much bigger problem. And we felt that, you know, we could actually make a, an actual change into the mobile cloud ecosystem. And that's how, that's how it all started. Uh, and it wasn't actually was easier to raise money after we had a really big problem. We had a good team that had been working together for almost two years. We had product market fit. >> So, uh, so yeah. So what are some things that have influenced you in your journey to become an entrepreneur? Um, some things interesting. Um, well I would say the Stanford design school. Um, I think I came from working for Siemens, which is a giant company. >>And I started doing this project and I remember one of the projects was we built, um, an, uh, a toolbar we were supposed to where we're doing a project for, um, Firefox, which, you know, Mozilla was utilize browser, uh, which was in some ways the precursor to Chrome. And we're trying to help it grow. And we didn't know. And one of the ideas was we, we built this toolbar for eBay and eBay hadn't had a toolbar for Firefox. And we, you know, we were some students for two weeks. We build this toolbar bar and then someone bought the car to our toolbar. And I was like, wow. Like how incredible is it that you can just kind of put your thoughts on something and just get something done and make an actual impact someone's life. And I think that's when the spark of the entrepreneurial spark, it was during that time that, um, Michael Dearing course, a professor and one of my D school courses also told me the thing that if I don't do it, who will? >>And I think that's when, that's when it all started. I think the things that have helped me along the way, I mean, my cofounders, I think I've been incredibly lucky to find cofounders that are incredibly eager to be good at what they do and also very different from me. So I think if you think about why many companies implode, it's usually because of the founding team. We've been together for almost seven years now. Uh, and it's been an interesting way to find balance through so many failed companies. So many stages of growth branches over 400 people now. So you know, our roles have shifted over time and it's been like, uh, an interesting journey and I think recently more in the past few years, I think one of the things that has helped me find balance has been having a group of female founder friends. Um, it's really interesting to have a peer group that you can talk about things with and be vulnerable with. >>And I didn't have that in the first few years and I wish I did. My cofounders are amazing, but I think in some ways we are also coworkers. So having an external group has been incredibly helpful in helping me find balance in my life. So I think a lot of women feel that way. They feel that it's really difficult to navigate in this male dominated workspace. So what advice would you give to female entrepreneurs in this space? Yeah, I mean it is really hard and I think confidence is something that I've noticed with myself, my peers, the women that I've invested in. I do investing on the side. Uh, I would say believe that you can do it. Uh, believe that the only, the sky's the limit believe that, um, you can do more than you think you can do. I think sometimes, uh, you know, our, our background and the society around us, um, doesn't necessarily believe that we can do the things that we can do as women. >>So I think believing in ourselves is incredibly important. I think the second part is making sure that we build networks around us. They can tell us that they believe in us. They can push us beyond what we think is possible. And I think those networks can be peers. Like my funeral founder group, we call each other for ministers or, uh, I think investors. Um, I think it can be mentors. And I've had, I've been lucky enough to have amazing women investors, uh, women mentors. Um, and I, it's been a really incredible to see how much they helped me grow. So I think the interesting thing is when I was just getting started, I didn't look for those communities. I didn't look for a guy. I just kinda felt, Oh, I can do it. But I didn't actually realize that being part of a community, being vulnerable, asking questions can actually go help me go so much further. Um, so the advice would be to start early and find a small group of people that you can actually rely on, and that can be your advocates and your champions. So, yeah. Well, thank you so much for those words of wisdom. Thanks for having me. Thank you for being on the cube. I'm your host, Sonia to Gary. Thanks for watching the cube. Stay tuned for more.

Published Date : Feb 12 2020

SUMMARY :

to you by Silicon angle media. Thank you so much for having me. I'm humbled to be in such amazing company with some great ladies that have started really So just give us a brief overview of your background. And he was like, what if you don't? So what inspired you to start branch and how did you navigate getting I think we came together, my cofounders and I were And we had a really hard Uh, then, you know, the photo books. So it's interesting when you ask about fundraising. And we felt that, you know, we could actually make a, an actual change So what are some things that have influenced you in your journey And I started doing this project and I remember one of the projects was we built, So I think if you think about why many companies implode, And I didn't have that in the first few years and I wish I did. And I think those networks can be peers.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
SoniaPERSON

0.99+

GaryPERSON

0.99+

SiemensORGANIZATION

0.99+

two weeksQUANTITY

0.99+

Silicon ValleyLOCATION

0.99+

AppleORGANIZATION

0.99+

Michael DearingPERSON

0.99+

second partQUANTITY

0.99+

United StatesLOCATION

0.99+

MoldaviaLOCATION

0.99+

23 collegesQUANTITY

0.99+

ChromeTITLE

0.99+

eBayORGANIZATION

0.99+

StanfordORGANIZATION

0.99+

oneQUANTITY

0.99+

todayDATE

0.99+

FacebookORGANIZATION

0.99+

FirefoxTITLE

0.99+

BarcoLOCATION

0.99+

over 10,000 photo booksQUANTITY

0.98+

SonyaPERSON

0.98+

one professorQUANTITY

0.98+

Menlo park, CaliforniaLOCATION

0.98+

over 400 peopleQUANTITY

0.97+

Stanford design schoolORGANIZATION

0.97+

CornellORGANIZATION

0.97+

MozillaORGANIZATION

0.96+

CaliforniaLOCATION

0.96+

RomaniaLOCATION

0.95+

almost two yearsQUANTITY

0.95+

Rijo RomaniaLOCATION

0.95+

DOBORGANIZATION

0.95+

a few years laterDATE

0.94+

firstQUANTITY

0.93+

yearsQUANTITY

0.93+

Awards 2020EVENT

0.92+

CloudNOWORGANIZATION

0.9+

yearsDATE

0.89+

PersianOTHER

0.89+

almost seven yearsQUANTITY

0.88+

kindredTITLE

0.88+

every single bookQUANTITY

0.87+

one dayQUANTITY

0.86+

TrumpPERSON

0.86+

Silicon angleORGANIZATION

0.85+

over a yearQUANTITY

0.81+

Mada Seghete, BranchPERSON

0.69+

Top Women InTITLE

0.62+

2020DATE

0.62+

Cloud' AwardsEVENT

0.58+

pastDATE

0.53+

Syamla Bandla, Facebook | CloudNOW 'Top Women In Cloud' Awards 2020


 

>>From and low park California in the heart of Silicon Valley. It's the cube covering cloud now. Awards 2020 brought to you by Silicon angle media. Now here's Sonya to garden. >>Hi and welcome to the cube. I'm your host Sonia to Gary. And we're on the ground at Facebook headquarters in Menlo park, California covering cloud now's top women entrepreneurs in cloud innovation awards. Joining us today is Shamila Bandler who is the director of production engineering at Facebook. to the cube. Thank you Sonya. So can you tell us a little bit about your background? Absolutely. >> Um, I grew up in India and it was in 2001 I moved to United States. I joined a company in financial sector fidelity investment. That was my first job in the U S it was a very important team I was working on, which was responsible for mission critical applications and trading floor. So if you know a little bit about stocks, you can think about the sense of urgency. That's where I learned early on in my career while I was working there. I also did my part time masters at Howard university. >>Um, that time was very crucial in my growth because it taught me resilience doing two things at the same time. 2005 was a life changing event where for personal reasons, I relocated to a Bay area from East coast and I joined a startup going from a big company to a small company. Again, put me in a situation which I was never used to. The startup taught me again being very resilient moving fast, which got acquired by Dell. That's when I switched to management. I sat on the decision for three months when my director asked me, you should be in management. And it wasn't, I wasn't afraid. I was too naive to like step away from individual contribution to the Tech's role to step into management. They were persistent and I took on the management role and there was never turning back because what I was giving back to the company, to the team and also seeing more women join my team. >>That was something I was truly enjoying. Then I did a couple of small companies transforming their business from a on-prem business to cloud. Um, that was again, growing the team from ground up and building a team in like two years was very, very motivating. And it was about a year and a half ago when I joined Facebook where a opportunity came knocking. I really wanted to work at this keel. And six months into the role I was supporting Facebook's monitoring ecosystem. And then last year my role changed. I started supporting Facebook's revenue generating platforms, which is ads, marketplace, commerce, and payments. And I'm absolutely loving it. >> That's very inspiring. Thank you. See you were a past winner of cloud now and now you're on the cloud now, advisory board. Tell us a little bit about that journey and what's the experience been like? >> Absolutely. I still remember, it was about four years ago. >>I'm the founder of cloud. No, Jocelyn had reached out to me that you should absolutely put the nomination. I had self-doubts, but then I thought, okay, I have done three transformations, let me give it a shot. And I attended that event on Google, Google campus. And the most important thing I took away from that evening was the amazing inspiring speakers. And the other pure winners from that, there was never looking back. It's just not being the award recipient. I think it boosted my confidence that what I have done and then also put more responsibility on me that how can I see more women leaders grow and get more women in the tech. Then last year of when I pitched to my management team that we should host cloud now event on Facebook campus. I got immense support from them. We did it. And this is when I felt that giving back to the community. >>This is what it means. At the same time after the event, Jocelyn said, I think you should be on the advisory board because we can get more of them and join this mission and we can accelerate the missions. A goal which is getting more and more women in tech. We have a lot of work still to do. >> Um, and so today you hosted the welcome and the scholarship, um, presentation. So how has that experience and tell us a little bit more about cloud now is um, STEM scholarship fund opportunity. It was a great experience. I think whole Borton school and Shanti Bhavan. I mean, when I look at the backgrounds of some of the scholars, it's just amazing. I mean, we all are privileged. I feel I'm privileged. Um, whether it's education or from the families. I think our parents took really good care of ourselves. >>But when I look at some of the fascinating stories of the scholars, some of them like absolute poverty, homelessness, there was one story which was like a person was homeless and the social economic statuses they come from, you wouldn't even think like, how can they even like done into like great software engineers at some amazing top companies. When I look back, the whole philanthrophy mission of, um, you know, cloud now is on this international STEM scholarship. It is making sure these underprivileged scholars have a fair chance because they didn't start at the same place where I feel I have started, you know, being a kid, you know, going to a school and it's amazing that we are able to contribute to this mission. Well that's great. And you're giving them an opportunity to share their skills with the world. Absolutely. Um, so what impact do you hope cloud now will have in the future? >>I think we still have a long way to go. I mean if I just look at, um, around me, uh, it's amazing that Facebook is very much into seeing more and more diversity and inclusion. And I know the numbers are changing even in other companies, but they're not changing at the rate where we want. Cloud now has gotten into a place in eight years very well connected with the winners. All of them, all the winners I look at past eight years are in very prominent positions. We have a privilege. At the same time, we also have a huge responsibility if in whatever field, whatever domain, whatever rules V. V, R. N if we can influence and change the equation very, we are making it a fair ground. I think we can see more and more women in tech. And what advice would you give to women who want to be in tech but maybe feel a little intimidated by the male dominated industry? >>I think sometimes we are owed our own enemies. Um, it's easier said than done. Um, I think believing in yourself. So when I was put in drawers, absolutely there were moments I was not comfortable at all and I started doing things not worrying about the outcome. Whatever I felt was right at that time I never thought, uh, this problem is some other team's problem and I'll wait for it. I just went ahead and whatever I could do in my capacity. And that was seen and I think women are really, really good in collaboration and soft skills. I would say use your strengths and use it well because that's what the companies need today. And are you personally seeing a rise in women in tech? Like um, in your team or at Facebook? Are you seeing that there are more women? Absolutely. When I joined the production engineering monetization team last year we had 13 women. >>We have 26 women in the team now. So that's my team is about hundred plus. So about 26% is great. I had no women managers in the team. I can proudly say I have two women managers in the T team. As I say, we still have a long way to go. My hope is in the organization, Ironman. If we can see more women in production engineering, then I would say like, yes, it's, it's getting there. And last question. Um, uh, there are a lot of shifts in the tech industry and new companies, new emerging tech. What's the opportunity now for women? I think AI is, um, you know, machine learning and AI is on the top because it's not just associated with one domain. AI can be applied anywhere. I feel women lik whether it's healthcare, whether it's in technology, it's, it's going to be applied, you know, everywhere. The other is cloud computing. Again, with the public and private clouds on the rise, more and more companies moving into hybrid cloud model. A, I feel for women, you know, going into these fields will like, just open up more opportunities for them. Shana, thank you so much. This is really inspiring and thank you for being part of cloud now. Thank you so much for having me here. I'm Sonya. Thanks for watching the cube. Um, stay tuned for more.

Published Date : Feb 12 2020

SUMMARY :

From and low park California in the heart of Silicon Valley. So can you tell us a little bit about your background? in the U S it was a very important team I was working I sat on the decision for three months when my director asked me, And six months into the role I was supporting Facebook's monitoring ecosystem. See you were a past winner of cloud now and now you're I still remember, it was about four years ago. And I attended that event on Google, Google campus. I think you should be on the advisory board because we can get more of them and join I mean, when I look at the backgrounds of some of the scholars, it's just amazing. the social economic statuses they come from, you wouldn't even think like, I think we can see more and more women in tech. I think sometimes we are owed our own enemies. A, I feel for women, you know,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JocelynPERSON

0.99+

ShanaPERSON

0.99+

IndiaLOCATION

0.99+

DellORGANIZATION

0.99+

SoniaPERSON

0.99+

Shamila BandlerPERSON

0.99+

FacebookORGANIZATION

0.99+

Syamla BandlaPERSON

0.99+

2001DATE

0.99+

United StatesLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

last yearDATE

0.99+

two womenQUANTITY

0.99+

eight yearsQUANTITY

0.99+

2005DATE

0.99+

13 womenQUANTITY

0.99+

three monthsQUANTITY

0.99+

one storyQUANTITY

0.99+

26 womenQUANTITY

0.99+

todayDATE

0.99+

SonyaPERSON

0.99+

two thingsQUANTITY

0.99+

first jobQUANTITY

0.99+

two yearsQUANTITY

0.99+

GaryPERSON

0.99+

six monthsQUANTITY

0.98+

Menlo park, CaliforniaLOCATION

0.98+

IronmanORGANIZATION

0.98+

BayLOCATION

0.98+

about 26%QUANTITY

0.98+

GoogleORGANIZATION

0.97+

about hundred plusQUANTITY

0.97+

Awards 2020EVENT

0.96+

Borton schoolORGANIZATION

0.96+

Howard universityORGANIZATION

0.95+

about a year and a half agoDATE

0.94+

CaliforniaLOCATION

0.93+

three transformationsQUANTITY

0.92+

U SLOCATION

0.92+

about four years agoDATE

0.9+

one domainQUANTITY

0.87+

cloudORGANIZATION

0.84+

Silicon angleORGANIZATION

0.84+

Top Women In Cloud' Awards 2020EVENT

0.8+

BhavanPERSON

0.78+

CloudORGANIZATION

0.75+

past eight yearsDATE

0.56+

CloudNOWEVENT

0.55+

ShantiORGANIZATION

0.5+

Dao Jensen, Kaizen Technology Partners | CloudNOW 'Top Women In Cloud' Awards 2020


 

>>from Menlo Park, California In the heart of Silicon Valley, it's the Cube covering cloud now. Awards 2020 Brought to you by Silicon Angle Media. Now here's Sonia category. >>Hi and welcome to the Cube. I'm your host Sonia category, and we're on the ground at Facebook headquarters in Menlo Park, California covering Cloud now's top women entrepreneurs in Cloud Innovation Awards. Joining us today is Tao Johnson, who's the CEO and founder of Kaizen Technology Partners. Now welcome to the Cube. Thank you. Thank you for having me. So give us a brief overview of your background. >>Sure, I actually have a finance degree and have no idea what technology was. I started as a finance analyst at Sun Microsystems and had no idea who they were or what job awas but having the interest to be a CFO one day, our CEO in another company, I figured I'd go into sales and really understand what drives a company growth and revenue. So I was actually trained by Scott McNealy's best of the best program and was in sales class with him and his with his sister in law. And, um, I never left sales after them, >>so um So you mentioned that you have a finance background? How do you think that background has helped you to become a successful CEO versus, say, a technical background? >>And I think having the finance background is very important because your cash flow management is one of the biggest reasons companies fail. You know, before they can get their next round of funding, they run out of their overhead costs, their monthly overhead costs. The other thing is really to understand how to sell in our ally and total cost of ownership to the decision powers that be at the CFO level and CEO CIO. >>Okay, Um, so you're on the cloud now advisory board to tell us, How did you join And how was that experience? Like, I think >>it grew organically having been a participant to a few of the events with Jocelyn and then helping her. Where can I help? How can I get speakers for you or winners? And over time, just like just came to me and said, You know, you have such a network, Why don't you join our board and help us where we can? Hence we have mailing today, um, as our keynote because of our network. >>And speaking of entrepreneurs, you, um, I just want to mention that you are at this program for Harvard, for entrepreneurs. Can you talk more about that? >>Sure, it's an amazing program. I wish that there were more women who applied and were able to invest the money and time into the program. It's, ah, owners and entrepreneurs who have companies around the world. There's 41 countries represented. Unfortunately, only about 17% of women of 151 participants in class. We meet three times once a year, and we go through three weeks of intensive training to discuss marketing finance how to scale operations. But the best thing you get out of it is 1 30% of it is learning this case studies method and Harvard, the other 30% is really the network and the different industry's. You get to meet. We have film. As you know, we've talked about retail and other industries there that you can self reflect on. How does that involve with technology? Um, and then the other 30 self reflection time. A lot of entrepreneurs, especially CEOs, don't have the time to get away from their business, and it really forces you to not be the operator. Walk away and be able to self reflect on Where do you want to take the business >>today >>and speaking about networking? What's your advice on networking within the industry? What are some tips and tricks >>in my belief? You know, we have social media, but the best way to meet people is through other people. So going to events like this and really having an idea of your goals at the event when you're going there, who's going to help you get to that person? Um, and having a focus, not. I want to meet 100 80 people, and I don't know who they're going to be really being able to say, Who do I want to meet at that event who can help me get there and preparing plan as much triple the time that you're gonna be even at the event? >>Yes, the networking can be really difficult. So as an entrepreneur, what do you think makes a great entrepreneur? >>You know, entrepreneurship is very hard because you really have to touch all facets of a company and find the right people to trust to do certain areas, but then be able to understand all the different parts of the company, right, from supply chain to partnerships to sales and finance. So what, you really have to be diverse and ambidextrous, and that makes it very difficult for some people who are only analytical or only sales e to be able to run a company in scale. >>And what advice do you have for female technologists who maybe feel that so it's really difficult to navigate in this male dominated industry? I would >>say to them they're stand out, make your different standout, right? Why make it a negative? The positive is you are female and you stand out so less men get called on by you and you might have a chance to get in the door. But you better have your ideas in line and your resource is and you better be >>kick ass. But use it to your >>advantage that you are different and that they're not used to hearing from women. >>So you've been with carved out for many years now. Where do you hope to see cloud now in the future, I >>would love to see cloud now be more, uh, geographically worldwide as we're doing more work in my non profit for women Rwanda, in Afghanistan as entrepreneurs, Um and I think, you know, we've upped and stepped up so much more with Facebook bringing in investments to us to compared to what we've done before, Um, I think just the awareness and may be doing this on a, um, twice a year basis instead of only once a year to be ableto celebrate these wonderful women. >>Don, thank you so much for being on the Cube. This has been really knowledgeable. Thank you for having me. I'm Sonia Tagaris. Thank you for watching the Cube stay tuned for more. Yeah, yeah, yeah.

Published Date : Feb 12 2020

SUMMARY :

to you by Silicon Angle Media. Thank you for having me. and was in sales class with him and his with his sister in law. And I think having the finance background is very important because your cash flow management is one of the biggest And over time, just like just came to me and said, You know, you have such a network, Why don't you join our board and Can you talk more about that? don't have the time to get away from their business, and it really forces you to not be the operator. going there, who's going to help you get to that person? what do you think makes a great entrepreneur? You know, entrepreneurship is very hard because you really have to touch all facets of a company and But you better have your ideas But use it to your Where do you hope to see cloud now in the future, in Afghanistan as entrepreneurs, Um and I think, you know, Thank you for having me.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JocelynPERSON

0.99+

Sun MicrosystemsORGANIZATION

0.99+

Sonia TagarisPERSON

0.99+

Tao JohnsonPERSON

0.99+

151 participantsQUANTITY

0.99+

AfghanistanLOCATION

0.99+

41 countriesQUANTITY

0.99+

FacebookORGANIZATION

0.99+

Silicon Angle MediaORGANIZATION

0.99+

Menlo Park, CaliforniaLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

todayDATE

0.99+

three weeksQUANTITY

0.99+

Menlo Park, CaliforniaLOCATION

0.99+

30%QUANTITY

0.99+

RwandaLOCATION

0.99+

Kaizen Technology PartnersORGANIZATION

0.99+

oneQUANTITY

0.99+

HarvardORGANIZATION

0.98+

three timesQUANTITY

0.98+

Scott McNealyPERSON

0.98+

Dao JensenPERSON

0.98+

CubeORGANIZATION

0.97+

once a yearQUANTITY

0.97+

about 17%QUANTITY

0.96+

Cloud Innovation AwardsEVENT

0.96+

Awards 2020EVENT

0.95+

twice a yearQUANTITY

0.95+

Kaizen TechnologyORGANIZATION

0.93+

100 80 peopleQUANTITY

0.93+

SoniaPERSON

0.78+

1 30%QUANTITY

0.77+

CloudNOWORGANIZATION

0.74+

30 selfQUANTITY

0.74+

one dayQUANTITY

0.69+

DonPERSON

0.69+

In Cloud' Awards 2020EVENT

0.6+

WomenTITLE

0.53+

SoniaORGANIZATION

0.51+

CubeCOMMERCIAL_ITEM

0.4+

TopEVENT

0.37+

CubeTITLE

0.31+

Christine Heckart, Scalyr | CloudNOW 'Top Women In Cloud' Awards 2020


 

From a little park, California in the heart of Silicon Valley. It's the cube covering cloud now. Awards 2020 brought to you by Silicon angle media. Here's Sonya to garden. Hi and welcome to the cube. I'm your host Sonia to Gary. And we're on the ground at Facebook headquarters in Menlo park, California covering cloud nows, top women entrepreneurs in cloud innovation awards. Joining us today is Christine Heckart, CEO of scaler. Christine, welcome to the cube. Thank you. So you're receiving an award today for being one of the top women in cloud. Um, how do you feel about that? >>Oh, it's always terrible to get an award. I mean, it's awesome. I'm very honored to be here. >>Awesome. Um, so give us a little brief overview of your background. >>Oh, 30 years in tech. Um, let's same now. I'm CEO of scaler. So we're a log analytics company. We scale to over a hundred terabytes a day in the cloud at ridiculously affordable prices. And we serve some of the best tech companies in the world. We sell into engineers and developers. >>And so you've been CEO for over a year now. What's that experience been like? What challenges have you faced along the way? >>Uh, exhilarating experience if you've never been at a startup? Um, it's a great place to be. It's a phenomenal team. Challenges are all about how you grow and how you serve customers well on a limited set of resource with unlimited choice sets and opportunities. And that's hard thing to do. >>So you've been an executive for quite a while now. What's the best part about being a CEO? >>The people are the best part. Um, both the employees. We have some incredible employees, very energized about the mission, very dedicated, uh, and then absolutely amazing customers that we serve. These, you know, we serve engineers whereby accompanied by engineers for engineers and engineers innovate to change the world. And our job is to help them innovate with more confidence so they can change the world more quickly. And so you're feeding into all these incredible missions around the world with these incredible people and you're helping them do their job better. And it's just every day is different and every day is fun. >>So what are the, some of the things that have influenced you along the way or some of the people who have influenced you? >>Jeez. Um, you know, I guess I'm influenced mostly by the people who I worked with and who have worked for me. Um, even more so maybe than the people I've worked for, although they've also been fabulous. Um, I just think you learn from, you learn from all the talent around you in the way people think differently about problems and, and how that synergy, um, often creates just magical outcomes. >>So as a CEO, um, what kind of workplace culture are striving to achieve? >>Uh, we have picked just one value and there are other companies that I think are doing the same and the value and we picked us care. And so we really strive to have a culture that encourages people to care about each other and care about the company's mission, uh, care about serving customers well and, and building a very high quality product with great experience, but also care about the environment and care about the community and care about people's lives outside of the day to day work job. Um, so we try to take a really holistic view, but on one key attribute, which is care. >>Well that's, that's awesome. I think everyone wants to go to work and, and just feel like, you know, that they're not bogged down by long hours or that >>we still have long hours. There's no doubt about that, but it's carrying long hours right there. Appreciate it. Yeah. Um, so what advice would you give to women who are considering a career in tech? I love tech. I've been 30 years in tech. I go out of my way to get people into the industry. Um, I do believe in all of its facets. It's the greatest industry in the history of history. I really do believe that it's also a hard place to work. It's a demanding place to work. Um, it's still hard place to work for women. Um, and any, I think kind of minority, uh, it's not as welcoming yet as it could be, but relative to 10 or 20 or 30 years ago, we've made enormous progress. I still believe we are making enormous progress and there's work to go, but it's very encouraging. >>That's great. Um, so, um, after being in the industry for a while, have you figured out a work life balance? Is there a secret? Is it a myth? >>Um, I am not the person to ask about work life balance for sure. Uh, most people would probably say I don't have it. Um, I don't look at it as balanced so much as, um, maybe juggling, like you just prioritize what's important in the moment. Um, I do believe in that. One of the great things about tech is usually you can do your job anytime from anywhere. Um, and you know, that has good and bad. So I tend to do my job all times everywhere. But you can do your job all times, everywhere and, and sometimes that's from home. And sometimes that's from other places, you know, anywhere around the world. >>And I'm sure especially as like, you know, moms and stuff like it's, it's great to have that flexibility. Um, and um, so, okay. So as a CEO, what do you think makes you a great leader? >>Um, I think any great leader is a leader who cares about their mission and their employees, uh, as people and not just as workers, um, and their customers as people and their, their holistic careers in their lives, not just as a source of revenue. So that's one of the reasons why we picked that value care is that, you know, it's super important for any leader at any level. What do you think leaders can do to, to make that, make it more welcoming for women in tech to be part of this industry? Um, it's not, this is not a question about women or any, anybody in particular, what people value is being appreciated and being included and being heard. That's it. Like, if you, if, if you can create an environment that is inclusive, where people can be heard and can be valued for what they contribute and their ideas, then I think, you know, it's a great place to work and, and, and that's a hard thing to do. It's white. It's easy to say. It's very hard to do culturally. Um, but I, I really think it's that simple. Well, thank you so much, Christine, for being on the. It's always great to have you here. Thank you for having me again. I'm sending it to Gary. Thanks for watching the cube. Stay tuned for more.

Published Date : Feb 12 2020

SUMMARY :

Um, how do you feel about that? Oh, it's always terrible to get an award. Um, so give us a little brief overview of your background. Um, let's same now. What challenges have you faced Um, it's a great place to be. What's the best part about being a CEO? Um, both the employees. I just think you learn from, you learn from all the talent around of the day to day work job. I think everyone wants to go to work and, and just feel like, you know, Um, so what advice would you give to women who are considering a career in have you figured out a work life balance? Um, I am not the person to ask about work life balance for sure. And I'm sure especially as like, you know, moms and stuff like it's, it's great to have that flexibility. of the reasons why we picked that value care is that, you know, it's super important for any leader at any level.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
ChristinePERSON

0.99+

Christine HeckartPERSON

0.99+

GaryPERSON

0.99+

SoniaPERSON

0.99+

Silicon ValleyLOCATION

0.99+

30 yearsQUANTITY

0.99+

FacebookORGANIZATION

0.99+

oneQUANTITY

0.99+

SonyaPERSON

0.99+

bothQUANTITY

0.99+

todayDATE

0.99+

ScalyrPERSON

0.98+

Menlo park, CaliforniaLOCATION

0.98+

over a yearQUANTITY

0.97+

OneQUANTITY

0.96+

one key attributeQUANTITY

0.95+

Awards 2020EVENT

0.94+

Silicon angleORGANIZATION

0.92+

CloudNOWORGANIZATION

0.89+

over a hundred terabytes a dayQUANTITY

0.86+

one valueQUANTITY

0.83+

30 yearsDATE

0.79+

10DATE

0.73+

Top Women InTITLE

0.63+

2020DATE

0.61+

Cloud' AwardsEVENT

0.55+

scalerORGANIZATION

0.55+

20DATE

0.53+

CaliforniaLOCATION

0.5+

Geeta Schmidt, Humio | CloudNOW 'Top Women In Cloud' Awards 2020


 

>>from Menlo Park, California In the heart of Silicon Valley, it's the Cube covering cloud now. Awards 2020 Brought to you by Silicon Angle Media. Now here's Sonia category. >>Hi, and welcome to the Cube. I'm your host Sonia category, and we're on the ground at Facebook headquarters in Menlo Park, California covering Cloud now's top women entrepreneurs in Cloud Innovation Awards. >>Joining us today is Get the Schmidt CEO of Human. Get that. Welcome to the Cube. >>Thank you. Thanks for having me. >>So just give us a brief overview of your background and more about Humira. All right, A brief >>overview. Let's see. Um, I'll start off that I've been in the industry for some time now. Um, since ah, 97 which I used to actually work at this campus that we're here today at when it used to be Sun Microsystems. So I started out in technology in product management and marketing. Mainly, um, when java was coming out so early days and really learned a lot about what it takes to take a product or a concept out to market very exciting in those early days and sort of, you know, move towards looking at Industries and Sister focused on financial services into the lot around financial services marketing. Also it son. >>And then I moved >>to Denmark, which is sort of a surprise, But I'm married to a day and we decided we would try something different. So I moved to Denmark, working at a consulting company software consulting company based in Denmark, fairly small and Ah, and was part of sort of building out of the conference and business development business they had over there. And ah, and that was a way for us, for me to understand a completely other side of the business consulting aspects where you really build software for a customer and really understand, you know, sort of the customer solution needs that are required versus when you're working at a large enterprise company kind of are separated away from the customers. And that was there where I met the two founding team members of Humi Oh, Christian and Trust in at Tri Fork into you. Essentially, we've been working together for 10 years, and, uh, we sort of all felt like we could really come out with the world's best logging solution and, ah, this was out of some of the pain we were running into by running other solutions in the market. And so we took a leap into building our own product business. And so we did that in 2016. And so that's really what brought me here into the CEO role. So we have a three person leisure leadership or executive team, our founding team, which is to verily technical folks. So the guys that really built the product and and, uh, and keep it running and take it to the next level every single day. But what was missing was really that commercial kind of leader that was ready to take that role, and that's where I came in. So they were very supportive and and bringing me on board. So that was into 2016 where I started that >>that's awesome. So how do you think having like a business and marketing background versus a technical background has helped you become a successful CEO? Um, I >>think it's really, really hard if you don't have different profiles on your founding team to be able to run a successful tech business. So there's technology that you could have the world's greatest technology like an example would be my you know, my co founders were building an amazing product, but until they came into the room, they hadn't thought about going out and trying to get a customer to use it. And essentially, that is one of the issues there is that you can sit and build something and build the best product out there. But if you're not getting feedback really, really early in the design and the concepts of product development, then customers our search of it's not built in. And so a lot of the thought process around him. EOS We like to say customers are in our DNA. We build >>our product >>for people to use 6 to 8 hours a day, and they're in it every day. And so it keeps this feeling of a customer feedback loop. And even if you're technical, it's really exciting. You know that you build something that somebody uses every day. It looks at every day, and so that's the kind of energy that we've tried to, you know, instill. Or maybe I've tried to instill in Humi Oh, that you know, our customers really matter, and I think that's one of the ways that we've been able to move, Let's say really, really fast in building the right features the right functionality, um, and the right things for people are using it on the on the on, the on the other and essentially >>so okay. And, um so you're here to receive an award for being one of the top female entrepreneurs in cloud innovation. So congratulations and And how does it feel to win this award? Super >>exciting. I mean, I'm glad that there are organizations like Cloud now that are doing amazing things for women and and also, you know, making examples of folks that are doing interesting roles in our industry, especially around B two B software. I think that's a real area where there's not many CIOs or leaders in our space where there should be. And, uh, and I think part of it is actually kind of highlighting that. But, you know, the other side is sort of an event like this today is bringing together a lot of other profiles that are women or diverse profiles together to sort of, you know, talk about this problem and acknowledge and also take, let's say, more of an active stance around, you know, making this place not so scary. I mean, I think I remember one of my early events and I was raising our series A when I walked into a VC event where there were no other female CIOs out there. There's 100 CIOs and I was the only one. And I think one of the hard parts is I walked in there and, you know, it felt a bit uncomfortable, But there were some. There were two amazing VC partners at the company that I first started talking to, and that just really used the sort of like, you know, I guess. Uncomfortable, itty. So I think the main focus at things like today or, you know, the people that are here today. So I think we can help each other. And I think that's something that you know. That's something that I'd like to see more of, that we actively sort of create environments and communities for that to happen, and cloud now is one of them. >>So I think a lot of women have had that experience where they're the only woman in the room, you know, and it's just really hard to like. Figure out your path from there. So as the company as Julio, how do you What's your strategy for inclusion? >>Um, so, like I like to call it active inclusion. I think part of this is like having a diverse workforce, which is, you know, obviously including women and different backgrounds. Other things. But >>one of >>the big things we think about at Hume Eo is we really like to, let's say, celebrate people's differences so like that you're able to be yourself and almost eccentric is a good thing. And be able to feel safe in that environment to feel safe, that you can express your opinions, feel comfortable and safe when you're, you know, coming with a opposite viewpoint. Because the diversity of thought is really what we're trying to include in our company. So it means bringing together folks that don't look like each other where exactly, the same clothes and do the exact same hobbies and come from the same countries like we have. Ah, very, you know, global workforce. So we have folks, you know in Denmark of an office in Denmark. We have an office in the UK, and we have folks all over the U. S. We have a lot of backgrounds that have come from different cultures, and I think there's a beauty to that. There's a beauty to actually combining a lot of ways to solve problems. Everyone from a different culture has different ways of solving those. And so I think part of this is all around making that. Okay, right. So, you know, active inclusion is a way to to sort of put it into terms. So So we're definitely looking for people, Actively, that would like to join something like >>this. So I love that. Um, So if you were personally, if you were to have your own board of directors, like, who would they be? Um, it's not really >>the who. It's almost like the profiles or the people. I mean, we already have a personal board like I call it. I mean, it's something that I actively started doing. Um, once I once I started with a company board, I realized, you know, I probably need my own personal board, my own sort of support infrastructure That includes folks like my family, my sisters and my mom. It also includes you know, some younger junior folks that are actually much younger >>than me. >>But I learned so much from so um, to one of my good friend Cindy, who's who is brilliant at describing technology concepts. And and I think just some of the conversations I've had with her just opened my eyes to something that I hadn't seen before. And I think that's the area where I like to say the personal board isn't exactly you know people. It's it's profile. So along the way, as you grow, you're looking for new types of profiles. Let's say you want to learn about a new concept or a new technology or, you know, get better at running or something. So it's part of bringing those profiles in tow, learn about it and then back to this board concept. It's It's not as though it's a linked in network or it's actually sort of a group of people that you sort of rely on. And then it's a It's a two way street. So essentially, you know, there could be things that the other person could gain from knowing me, and ideally, that those were the best relationships in a personal board. So so I encourage alive women to do this because it builds a support infrastructure that is not related to your job. It's not your manager. It's not your co worker. You kind of feel some level of freedom having those discussions because those people aren't looking at your company. They're looking at helping you. So So that's That's sort of the concepts around >>the personal board idea and anything as women like having a sport system is so necessary, especially in this, like male dominated industry. Well, I think it's back >>to that whole feeling like you're the one person in the room, right? Right, so you're not the one person in the room, and I think we need to change that. And I think that's like some you know, all of our kind of roles that for all the women intact. I mean, it's sort of like something that we could help each other with right, and and if we don't do it actively, I mean, you know the numbers and we know you know the percentages of these things. If we want to change that, it does require some active interest on on our part to make that happen. And I think those are the areas where I see, like, the support infrastructures, the events like this really kind of engaging, um, us to be aware and doing something about the >>problem. Thank you so much for being on the key of love having you here. Thanks for >>having me. I really appreciate it. >>I'm Sonia to Garry. Thanks for watching the Cube. Stay tuned for more. >>Yeah, yeah.

Published Date : Feb 12 2020

SUMMARY :

to you by Silicon Angle Media. Hi, and welcome to the Cube. Welcome to the Cube. Thanks for having me. So just give us a brief overview of your background and more about Humira. you know, move towards looking at Industries and Sister focused on financial services side of the business consulting aspects where you really build software for a So how do you think having like a business and marketing background versus a technical background And essentially, that is one of the issues there is that you can sit and build something You know that you build something that somebody uses every day. So congratulations and And how does it feel to win this award? and that just really used the sort of like, you know, you know, and it's just really hard to like. this is like having a diverse workforce, which is, you know, obviously including women So we have folks, you know in Denmark of an office in Denmark. if you were to have your own board of directors, like, who would they be? I realized, you know, I probably need my own personal board, my own sort of support infrastructure So along the way, as you grow, you're looking for the personal board idea and anything as women like having a sport system is so necessary, And I think that's like some you know, Thank you so much for being on the key of love having you here. I really appreciate it. I'm Sonia to Garry.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DenmarkLOCATION

0.99+

CindyPERSON

0.99+

2016DATE

0.99+

UKLOCATION

0.99+

Geeta SchmidtPERSON

0.99+

Sun MicrosystemsORGANIZATION

0.99+

6QUANTITY

0.99+

10 yearsQUANTITY

0.99+

JulioPERSON

0.99+

FacebookORGANIZATION

0.99+

Silicon Angle MediaORGANIZATION

0.99+

100 CIOsQUANTITY

0.99+

SoniaPERSON

0.99+

Menlo Park, CaliforniaLOCATION

0.99+

Silicon ValleyLOCATION

0.99+

Menlo Park, CaliforniaLOCATION

0.99+

GarryPERSON

0.99+

U. S.LOCATION

0.99+

oneQUANTITY

0.99+

todayDATE

0.98+

firstQUANTITY

0.98+

Hume EoORGANIZATION

0.97+

Tri ForkORGANIZATION

0.97+

Cloud Innovation AwardsEVENT

0.95+

SchmidtPERSON

0.95+

Awards 2020EVENT

0.94+

two founding teamQUANTITY

0.93+

CubeORGANIZATION

0.93+

Humi Oh, Christian and TrustORGANIZATION

0.93+

a dayQUANTITY

0.93+

one personQUANTITY

0.92+

8 hours a dayQUANTITY

0.9+

three personQUANTITY

0.88+

two wayQUANTITY

0.88+

CloudNOWORGANIZATION

0.87+

javaTITLE

0.84+

two amazing VCQUANTITY

0.77+

In Cloud' Awards 2020EVENT

0.67+

single dayQUANTITY

0.61+

CubeTITLE

0.61+

HumioPERSON

0.56+

97QUANTITY

0.56+

WomenTITLE

0.55+

CEOPERSON

0.54+

HumiORGANIZATION

0.54+

HumiraPERSON

0.53+

TopEVENT

0.48+

SoniaORGANIZATION

0.47+

series AOTHER

0.46+

Dao Jensen, Kaizen Technology Partners - CloudNOW Top Women in Cloud - #TopWomenInCloud - #theCUBE


 

hi welcome to the cube I'm your host Lisa Martin and we are at Google with cloud now which is a nonprofit organization supporting and foreign led by great female technology leaders expertise and cloud computing and converging technologies and we're here because tonight is their fifth annual awards for the top women in cloud innovation so we're very excited to be here we're here right now with Dow Johnson Dow and I go way back and now you are the CEO of Kyson technology partners jealousy's are the founder of the office of the cloud which I was fortunate to get your launch a couple of months ago we're fortunate to have you thank you first time on the cube you are as a founder of the office of the cloud you're also partnering and sponsoring with talk to us a little bit about what you guys are collaborating on to really help foster and inspire more women to be as successful as yourself sure well we believe that men are very important in helping women get into the cloud economy and with their help and raising them up into the ladders of the ecosystem so here to support cloud now we want to make sure there were sponsors from all cloud public companies as well as private so we've started after meeting with Jocelyn a few months ago getting those sponsors and I believe will have some greater sponsorships and some scholarships out of this for the sixth year of cloud now fantastic something that you said was actually echoing a lot of what we've heard tonight at the show is that it's not just about women in tech female Sontag that men are actually essential and I remember when I was talking with you a few months ago about the launch event and that was something that was very important to you and I think it's great to hear that because your message has has been reiterated tonight what are some of the things that you've heard tonight maybe from some of the keynotes or some of the Award winners that you have found that's awesome this is inspiring and so I found some of the inspiring pieces like I've been working on this project for 12 years and now I'm just getting credit for it right the persistence of someone being able to work on it the other pieces were the heart stories heartfelt stories of how the technologies were helping out cancer patients and women and young children who didn't have a voice literally physically did not have a voice and how technology is helping them get there and be able to have their own voice yes that was voice ID we actually spoke with them and we actually had one of their soon-to-be customers with us and it was it was like why is it just now or two years ago that someone said you know what all these computerized voices are the same they're not customized but as people we have personalities so what a great idea and a great insight inspiration to leverage technology in that way I agree with you I found it tremendously inspiring we also you mentioned cancer and we were just talking with Mary stencil poor who is an associate yes at OHSU and she was talking about what how they're collaborating with Intel to create the collaborative cancer cloud and that's something that's very near and dear to my heart and I just thought it's that's what we need and but I want one of the messages that I like that that sends is everything now is technology your car is a computer everything is technology so having that message be reiterated to whether they're young girls in stem programs or mckee about what to major in or maybe they've got a degree in something different but are interested in that I think those are great messages and speaking of career paths you and I are very similar in in a very Zig zaggy path talk to us about your career path to not only CTO but also co-founder of the office of the cloud so I actually started in a finance degree not knowing what a CPU was in the 90s or who Sun Microsystems was I'm not sure if I'm feel good about acknowledging that but I think what you're even seeing in the computer and cloud world like the driverless car right having a Google driving self car it's not about just the technology but also the experience that's in the technology so you need people with the marketing sense the EQ of how does that sensory affection me or how will that affect my experience and what can I do in it doesn't mean that you have to have check mycological background on it but that you can think as a person and the experience so for myself the finance background helps me relate to my clients just from this technology works and the technology can solve your problem right but really from the political business view of understanding that finances politics personalities and I was the youth governor of my state those things are very important in decision making as well as your inter relation with people and things absolutely I couldn't agree more and I think that's a message that we've heard from all the guests here tonight joseline talked about that as well I think that and I I know I wouldn't change my career path and I bet you wouldn't either because as you've said you've gotten this you have a diverse perspective correct that you wouldn't have had otherwise so what's next really quickly before we well what's next for the office of the cloud so what we're looking for is really to be able to help the s'more scholars at the whole Burton School here at cloud now but I think we're looking for an event that will make really run by the by the end users the needs that they're seeing in the future so look for us in the spring I think we'll have a wonderful guest speaker maybe from the federal government talking about how cloud and security and security isn't in the way of cloud but for us cloud now is all about a person at a time and a company at the time putting companies together to talk to each other and be able to solve problems where people have failed and they can share that failure so that the next company doesn't fail and cloud doesn't become an overarching inability to get to absolutely really cloud is just an enablement I would not have been able to start a company and many women aren't able to start a company or men without consuming a server or a storage right so it's really a gap to let us in but it's not the answer to everything and without sharing absolutely I love your kind of final message fear of collaboration we've heard that echoed a lot throughout our guest tonight Jensen thank you so much for joining us you know yeah it's been great to be on again soon absolutely thank you for watching we've had a great time here cloud now thank you for having us we hope you've been inspired and if you know a female in tech who should be interviewed in our Studios in Palo Alto please tweet us at the cube hashtag women in tech I'm your host Lisa Martin we'll see you next time

Published Date : Dec 9 2016

**Summary and Sentiment Analysis are not been shown because of improper transcript**

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

JocelynPERSON

0.99+

joselinePERSON

0.99+

12 yearsQUANTITY

0.99+

KysonORGANIZATION

0.99+

OHSUORGANIZATION

0.99+

Palo AltoLOCATION

0.99+

sixth yearQUANTITY

0.99+

Sun MicrosystemsORGANIZATION

0.99+

Mary stencil poorPERSON

0.98+

JensenPERSON

0.98+

GoogleORGANIZATION

0.98+

two years agoDATE

0.98+

tonightDATE

0.98+

oneQUANTITY

0.97+

first timeQUANTITY

0.97+

Burton SchoolORGANIZATION

0.97+

90sDATE

0.96+

fifth annual awardsQUANTITY

0.93+

a couple of months agoDATE

0.92+

a few months agoDATE

0.92+

IntelORGANIZATION

0.87+

CloudNOWORGANIZATION

0.86+

Dow Johnson DowORGANIZATION

0.85+

Dao JensenPERSON

0.82+

Kaizen Technology PartnersORGANIZATION

0.78+

cubeORGANIZATION

0.67+

governmentORGANIZATION

0.56+

CEOPERSON

0.51+

Madhura Maskasky, Platform9 Systems Inc - CloudNOW Top Women in Cloud - #TopWomenInCloud - #theCUBE


 

>>Hi, welcome to the cube. I'm your host, Lisa Martin. And we are on the ground at Google with cloud now, which is a nonprofit organization for and with leading women in cloud technologies and converging technologies. We're here tonight with cloud now to celebrate their fifth annual top women in cloud innovations award. In fact, this year they had so many submissions for outstanding females. So it's actually expanded the winners circle, which is fantastic. And we're very excited to be joined by one of those winners, Madeira Makoski. You are the co-founder of VP of product at platform nine systems. Welcome back to the cube. You've been on the cube before. That's right. Thank you. Congratulations on your award. >>Thank you. Talk >>To us a little bit about the project that you're leading as VP of product at platform nine. What are some of the, the cloud innovations that your team is helping to deliver? >>Yeah, definitely. So I'm a co-founder and re VP of product at platform nine systems. And what platform nine does simply put is we take best of breed, open source frameworks, such as OpenStack and Kubernetes, and we deliver them as a SA service. So what we did is we pioneered this really unique deployment model for these really complex, but popular and powerful open source frameworks where they're delivered as a SA service. So you can zoom them just like you can zoom Gmail or you can zoom Salesforce. Okay. And so that delivers a very differentiated experience to the end users where there's very little complexity in consuming these frameworks and going through the process of updates or upgrades through the frameworks, et >>Cetera. Excellent. How long, how old is platform nine? >>So platform nine was founded in 2013, so we just became three years old, about few months ago. Okay. >>Congratulations. Happy birthday. Tell us a little bit about the founding of that. What was it from a career perspective that was, was a driver or some of the drivers that led you to with your, co-founders say, let's do this. >>Yeah. So I remember reaching a point in my career. I think it was around maybe 20 10, 20 11 or so where I felt that I have completely stagnated. Right. And, and it was an interesting point for me because prior to that, I had never thought that I'm gonna start a company. In fact, my, my father is an entrepreneur. My brother is an entrepreneur and I had seen them go through the ups and downs of entrepreneurship. And so I had realized for myself early on, or I thought I'd realized that it's not for me, but when I reached that point in my career where none of the other options really seemed interesting enough, right. I, I tried interviewing, I tried going for large companies or small companies, different roles, but nothing sounded challenging enough. And then I was fortunate enough to realize that my, my current co-founders who were then my coworkers at VMware, they were independently going through very similar journey. Right. They were, they were trying to figure out what is it that they wanna do next. And that's really where a lot of our brainstorming over lunch sessions started. And that's kind of where platform line also got started. >>Wow, fantastic. So let's take a little bit of a look at your, your career path, how you got to be where you are. Were you always like naturally inclined towards engineering, computer science from the time you were small? Or was it something that you discovered a little bit later? >>Yeah, so I remember when I picked computer science for my bachelor's major, right. I, I pretty much picked it because it was the most popular stream or specialization to choose. And most of majority of students were doing that, or majority of top students were doing that. I didn't quite pick it because I, I had a particular inclination towards it. I didn't even have a computer in my house at that time. Wow. And so it really started for me, it started because after starting my bachelor's program, I started taking these, these off school C plus plus classes. And those classes were taught by this X professor who had in stopped teaching, but he, he would run this little workshop in, in his house garage at nighttime, remember nine 30 or 10. My mom would almost, she almost didn't want me to go out at that time, but right. We went out anyways and went to these classes and the, just the way he encouraged us to be almost little competitive in terms of edging each other a little bit in understanding really the core principles of C plus plus I just absolutely loved his teaching style. And, and I realized I'm, this is something I'm really good at. So that's where my, my interest in programming really, I think, was awakened for me. And then that's where my kind of my journey in computer science started. Wow, >>Fantastic. So I love that the, the old garage inspiration, you know, I think as a women in tech myself, we get inspiration from a, a lot of different sources, whether it's people that we know or not. And gender really doesn't matter in that. But talk to us a little bit more. You said that that sort of the, the catalyst for you and your co-founders getting together to start platform nine was you were at a, a position or a point in your career where you felt kind of stagnant. What were you doing then? And what was it that sort of gave you that boost to go? We're gonna do this. >>Yeah. So we were, I was a senior engineer at VMware. At that time. I was part of the tech lead or the architect team as part of various products in VMware's management portfolio, suite of products. During that time specifically, we were working on this project within VMware called we cloud vCloud director. And what that project really gave us was the opportunity to interface with a lot of VMware's mid to large size enterprise customers. So we got to observe a lot of their pain points, and we could clearly see that the traditional model of building infrastructure software, which is the shrink wrap way of building software, where someone deploys it, downloads it and then babysits it, maintains it over the life cycle of that software. Right. We realize that that model really cannot stand compared to the very high bar that public cloud was setting. And it's, it was really from that experience that we realized that there is an opportunity, there's a pain point demand >>Is there. >>Yes. And we, we realized it was big enough that we could form a company out of it. >>So in terms of your company, you're, you're relatively new from a, and you are obviously a senior female leader. Is that part of the corporate culture at platform nine? How important is helping other women to get into technology to you as personally and to your company? >>Yeah. I mean, platform nine is 100% supportive of talent regardless of gender. Right? So we are, I would say we are a very, what I think a very typical next gen tech startup in the bay area in that sense where my experience just in the tech industry in the bay area has been that the community is extremely encouraging and opening, open and welcoming. Right. I have myself personally never experienced any kind of bias and I've not seen my other coworkers, et cetera, experiencing that neither a platform line nor at VMware as well. So I am a big believer that the tech community in the bay area does a really fantastic job of, of not introducing a gender bias. >>Fantastic. Well, Madeira, thank you so much for joining us again on the cube. Congratulations again, on your award and being a very inspiring female tech leader. If you know, other female tech leaders that you think should be featured on our show, please tweet us at the cube, hashtag women in tech. Thanks again for watching and we'll see you next time. Thanks.

Published Date : Dec 9 2016

SUMMARY :

And we are on the ground at Google with Thank you. What are some of the, the cloud innovations that your team is helping to deliver? And so that delivers a very differentiated experience to the end users where How long, how old is platform nine? So platform nine was founded in 2013, so we just became three years old, that was, was a driver or some of the drivers that led you to with your, And then I was fortunate enough Or was it something that you discovered a little bit later? And then that's where my kind of my journey in computer science started. You said that that sort of the, the catalyst for you and your co-founders getting together to And it's, it was really from that experience that we realized that So in terms of your company, you're, you're relatively new from a, and So I am a big believer that If you know, other female tech leaders that you think should be featured on our show, please tweet us at

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

2013DATE

0.99+

Madhura MaskaskyPERSON

0.99+

100%QUANTITY

0.99+

VMwareORGANIZATION

0.99+

Madeira MakoskiPERSON

0.99+

Platform9 Systems IncORGANIZATION

0.99+

GoogleORGANIZATION

0.99+

tonightDATE

0.98+

this yearDATE

0.98+

GmailTITLE

0.98+

MadeiraPERSON

0.98+

C plus plusTITLE

0.98+

OpenStackTITLE

0.97+

oneQUANTITY

0.97+

KubernetesTITLE

0.94+

nineQUANTITY

0.93+

platform nineOTHER

0.89+

about few months agoDATE

0.86+

vCloudTITLE

0.83+

three years oldQUANTITY

0.82+

10QUANTITY

0.78+

nineORGANIZATION

0.69+

fifth annualQUANTITY

0.68+

SalesforceTITLE

0.68+

platform nineTITLE

0.67+

30QUANTITY

0.61+

systemsQUANTITY

0.6+

platform nineORGANIZATION

0.59+

11QUANTITY

0.52+

20QUANTITY

0.49+

20DATE

0.34+

Syamla Bandla, Qualys - CloudNOW Top Women in Cloud - #TopWomenInCloud - #theCUBE


 

hi welcome to the cube I'm your host Lisa Martin and we are on the ground at Google with cloud now which is a nonprofit organization for women in cloud computing and converging technologies tonight cloud now is celebrating their fifth annual top women in cloud innovation and we are very excited to be joined by one of the winners of the award tonight Shambhala Bangla who's the vice president global cloud operations and DevOps at Paulus welcome to the cube thank you so you're an award winner tonight tell us about the project that garnered you this prestigious honor I'm happy to share that and actually I'm very thrilled and excited to be here and participating with the other accomplished leaders there were actually two key projects which got me one is the scale in the big data and the complexity dealing with the clouds and it's not one cloud Qualis being the cloud provider for security we manage security products for different customers we are talking about big scale we do three billion scans annually we do about hundred billion detections annually and we do about one trillion security endpoints or data points so how do you manage the scale and bringing new features to the market at her lightning speed is the key so I had three key strategies which got me to the award one is agility visibility and security and being a service provider for security Security's in the forefront all the time for the platforms we also believe in sipping our own champagne we use our own products to make sure our platforms are secure visibility you know things break and when things break at scale Qualis is no different and the strategy I had evolved and the team had executed on was a single pane of glass for you know knowing when things break and how do you quickly fix it an agility how do you deploy regardless whether in you're in Amazon as your or Google cloud platform or software or even your own private cloud on VMware we should be able to deploy our platforms quickly so I had initiated a new DevOps strategy where regardless of your underlying infrastructure how do you quickly deploy your workloads that is the KP how do you fail fast and to top it off the culture is very important transforming the entire operations team being just not a support organization but being that innovation driving organization was the key Wow fantastic you are obviously you're in a very accomplished technologist you're an award winner give us a quick overview of some of the things that are the most influential or have been the most influential to get you to be where you are now this successful female leader in technology two things come to mind first is believe in yourself never think anything is impossible everything is possible always believe in making an impact be that problem solver whether it is within Europe your own organization or whether it is in a cross-functional whether it's a technology problem whether it's a process always believe you can make an impact I love that believe in yourself believe you can make an impact chalma thank you so much for joining my graduations thank youing one of the top women in cloud innovation we're thrilled to have you thank you so much you've been watching the cube I'm your host Lisa Martin and if you know a female that should be featured on our program tweet us at the cube hashtag women in tech and we'll see you next time

Published Date : Dec 8 2016

**Summary and Sentiment Analysis are not been shown because of improper transcript**

ENTITIES

EntityCategoryConfidence
Lisa MartinPERSON

0.99+

Syamla BandlaPERSON

0.99+

Shambhala BanglaPERSON

0.99+

EuropeLOCATION

0.99+

two key projectsQUANTITY

0.99+

AmazonORGANIZATION

0.98+

tonightDATE

0.98+

GoogleORGANIZATION

0.98+

firstQUANTITY

0.97+

about hundred billion detectionsQUANTITY

0.96+

two thingsQUANTITY

0.95+

three billion scansQUANTITY

0.95+

oneQUANTITY

0.94+

fifth annualQUANTITY

0.9+

single paneQUANTITY

0.87+

about one trillion security endpointsQUANTITY

0.86+

three key strategiesQUANTITY

0.86+

CloudNOWORGANIZATION

0.84+

one of the winnersQUANTITY

0.78+

VMwareTITLE

0.75+

annuallyQUANTITY

0.73+

Top Women in CloudTITLE

0.65+

vicePERSON

0.59+

QualysORGANIZATION

0.52+

operationsORGANIZATION

0.48+

#TopWomenInCloudTITLE

0.44+

PaulusPERSON

0.41+

Breaking Analysis: Databricks faces critical strategic decisions…here’s why


 

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> Spark became a top level Apache project in 2014, and then shortly thereafter, burst onto the big data scene. Spark, along with the cloud, transformed and in many ways, disrupted the big data market. Databricks optimized its tech stack for Spark and took advantage of the cloud to really cleverly deliver a managed service that has become a leading AI and data platform among data scientists and data engineers. However, emerging customer data requirements are shifting into a direction that will cause modern data platform players generally and Databricks, specifically, we think, to make some key directional decisions and perhaps even reinvent themselves. Hello and welcome to this week's wikibon theCUBE Insights, powered by ETR. In this Breaking Analysis, we're going to do a deep dive into Databricks. We'll explore its current impressive market momentum. We're going to use some ETR survey data to show that, and then we'll lay out how customer data requirements are changing and what the ideal data platform will look like in the midterm future. We'll then evaluate core elements of the Databricks portfolio against that vision, and then we'll close with some strategic decisions that we think the company faces. And to do so, we welcome in our good friend, George Gilbert, former equities analyst, market analyst, and current Principal at TechAlpha Partners. George, good to see you. Thanks for coming on. >> Good to see you, Dave. >> All right, let me set this up. We're going to start by taking a look at where Databricks sits in the market in terms of how customers perceive the company and what it's momentum looks like. And this chart that we're showing here is data from ETS, the emerging technology survey of private companies. The N is 1,421. What we did is we cut the data on three sectors, analytics, database-data warehouse, and AI/ML. The vertical axis is a measure of customer sentiment, which evaluates an IT decision maker's awareness of the firm and the likelihood of engaging and/or purchase intent. The horizontal axis shows mindshare in the dataset, and we've highlighted Databricks, which has been a consistent high performer in this survey over the last several quarters. And as we, by the way, just as aside as we previously reported, OpenAI, which burst onto the scene this past quarter, leads all names, but Databricks is still prominent. You can see that the ETR shows some open source tools for reference, but as far as firms go, Databricks is very impressively positioned. Now, let's see how they stack up to some mainstream cohorts in the data space, against some bigger companies and sometimes public companies. This chart shows net score on the vertical axis, which is a measure of spending momentum and pervasiveness in the data set is on the horizontal axis. You can see that chart insert in the upper right, that informs how the dots are plotted, and net score against shared N. And that red dotted line at 40% indicates a highly elevated net score, anything above that we think is really, really impressive. And here we're just comparing Databricks with Snowflake, Cloudera, and Oracle. And that squiggly line leading to Databricks shows their path since 2021 by quarter. And you can see it's performing extremely well, maintaining an elevated net score and net range. Now it's comparable in the vertical axis to Snowflake, and it consistently is moving to the right and gaining share. Now, why did we choose to show Cloudera and Oracle? The reason is that Cloudera got the whole big data era started and was disrupted by Spark. And of course the cloud, Spark and Databricks and Oracle in many ways, was the target of early big data players like Cloudera. Take a listen to Cloudera CEO at the time, Mike Olson. This is back in 2010, first year of theCUBE, play the clip. >> Look, back in the day, if you had a data problem, if you needed to run business analytics, you wrote the biggest check you could to Sun Microsystems, and you bought a great big, single box, central server, and any money that was left over, you handed to Oracle for a database licenses and you installed that database on that box, and that was where you went for data. That was your temple of information. >> Okay? So Mike Olson implied that monolithic model was too expensive and inflexible, and Cloudera set out to fix that. But the best laid plans, as they say, George, what do you make of the data that we just shared? >> So where Databricks has really come up out of sort of Cloudera's tailpipe was they took big data processing, made it coherent, made it a managed service so it could run in the cloud. So it relieved customers of the operational burden. Where they're really strong and where their traditional meat and potatoes or bread and butter is the predictive and prescriptive analytics that building and training and serving machine learning models. They've tried to move into traditional business intelligence, the more traditional descriptive and diagnostic analytics, but they're less mature there. So what that means is, the reason you see Databricks and Snowflake kind of side by side is there are many, many accounts that have both Snowflake for business intelligence, Databricks for AI machine learning, where Snowflake, I'm sorry, where Databricks also did really well was in core data engineering, refining the data, the old ETL process, which kind of turned into ELT, where you loaded into the analytic repository in raw form and refine it. And so people have really used both, and each is trying to get into the other. >> Yeah, absolutely. We've reported on this quite a bit. Snowflake, kind of moving into the domain of Databricks and vice versa. And the last bit of ETR evidence that we want to share in terms of the company's momentum comes from ETR's Round Tables. They're run by Erik Bradley, and now former Gartner analyst and George, your colleague back at Gartner, Daren Brabham. And what we're going to show here is some direct quotes of IT pros in those Round Tables. There's a data science head and a CIO as well. Just make a few call outs here, we won't spend too much time on it, but starting at the top, like all of us, we can't talk about Databricks without mentioning Snowflake. Those two get us excited. Second comment zeros in on the flexibility and the robustness of Databricks from a data warehouse perspective. And then the last point is, despite competition from cloud players, Databricks has reinvented itself a couple of times over the year. And George, we're going to lay out today a scenario that perhaps calls for Databricks to do that once again. >> Their big opportunity and their big challenge for every tech company, it's managing a technology transition. The transition that we're talking about is something that's been bubbling up, but it's really epical. First time in 60 years, we're moving from an application-centric view of the world to a data-centric view, because decisions are becoming more important than automating processes. So let me let you sort of develop. >> Yeah, so let's talk about that here. We going to put up some bullets on precisely that point and the changing sort of customer environment. So you got IT stacks are shifting is George just said, from application centric silos to data centric stacks where the priority is shifting from automating processes to automating decision. You know how look at RPA and there's still a lot of automation going on, but from the focus of that application centricity and the data locked into those apps, that's changing. Data has historically been on the outskirts in silos, but organizations, you think of Amazon, think Uber, Airbnb, they're putting data at the core, and logic is increasingly being embedded in the data instead of the reverse. In other words, today, the data's locked inside the app, which is why you need to extract that data is sticking it to a data warehouse. The point, George, is we're putting forth this new vision for how data is going to be used. And you've used this Uber example to underscore the future state. Please explain? >> Okay, so this is hopefully an example everyone can relate to. The idea is first, you're automating things that are happening in the real world and decisions that make those things happen autonomously without humans in the loop all the time. So to use the Uber example on your phone, you call a car, you call a driver. Automatically, the Uber app then looks at what drivers are in the vicinity, what drivers are free, matches one, calculates an ETA to you, calculates a price, calculates an ETA to your destination, and then directs the driver once they're there. The point of this is that that cannot happen in an application-centric world very easily because all these little apps, the drivers, the riders, the routes, the fares, those call on data locked up in many different apps, but they have to sit on a layer that makes it all coherent. >> But George, so if Uber's doing this, doesn't this tech already exist? Isn't there a tech platform that does this already? >> Yes, and the mission of the entire tech industry is to build services that make it possible to compose and operate similar platforms and tools, but with the skills of mainstream developers in mainstream corporations, not the rocket scientists at Uber and Amazon. >> Okay, so we're talking about horizontally scaling across the industry, and actually giving a lot more organizations access to this technology. So by way of review, let's summarize the trend that's going on today in terms of the modern data stack that is propelling the likes of Databricks and Snowflake, which we just showed you in the ETR data and is really is a tailwind form. So the trend is toward this common repository for analytic data, that could be multiple virtual data warehouses inside of Snowflake, but you're in that Snowflake environment or Lakehouses from Databricks or multiple data lakes. And we've talked about what JP Morgan Chase is doing with the data mesh and gluing data lakes together, you've got various public clouds playing in this game, and then the data is annotated to have a common meaning. In other words, there's a semantic layer that enables applications to talk to the data elements and know that they have common and coherent meaning. So George, the good news is this approach is more effective than the legacy monolithic models that Mike Olson was talking about, so what's the problem with this in your view? >> So today's data platforms added immense value 'cause they connected the data that was previously locked up in these monolithic apps or on all these different microservices, and that supported traditional BI and AI/ML use cases. But now if we want to build apps like Uber or Amazon.com, where they've got essentially an autonomously running supply chain and e-commerce app where humans only care and feed it. But the thing is figuring out what to buy, when to buy, where to deploy it, when to ship it. We needed a semantic layer on top of the data. So that, as you were saying, the data that's coming from all those apps, the different apps that's integrated, not just connected, but it means the same. And the issue is whenever you add a new layer to a stack to support new applications, there are implications for the already existing layers, like can they support the new layer and its use cases? So for instance, if you add a semantic layer that embeds app logic with the data rather than vice versa, which we been talking about and that's been the case for 60 years, then the new data layer faces challenges that the way you manage that data, the way you analyze that data, is not supported by today's tools. >> Okay, so actually Alex, bring me up that last slide if you would, I mean, you're basically saying at the bottom here, today's repositories don't really do joins at scale. The future is you're talking about hundreds or thousands or millions of data connections, and today's systems, we're talking about, I don't know, 6, 8, 10 joins and that is the fundamental problem you're saying, is a new data error coming and existing systems won't be able to handle it? >> Yeah, one way of thinking about it is that even though we call them relational databases, when we actually want to do lots of joins or when we want to analyze data from lots of different tables, we created a whole new industry for analytic databases where you sort of mung the data together into fewer tables. So you didn't have to do as many joins because the joins are difficult and slow. And when you're going to arbitrarily join thousands, hundreds of thousands or across millions of elements, you need a new type of database. We have them, they're called graph databases, but to query them, you go back to the prerelational era in terms of their usability. >> Okay, so we're going to come back to that and talk about how you get around that problem. But let's first lay out what the ideal data platform of the future we think looks like. And again, we're going to come back to use this Uber example. In this graphic that George put together, awesome. We got three layers. The application layer is where the data products reside. The example here is drivers, rides, maps, routes, ETA, et cetera. The digital version of what we were talking about in the previous slide, people, places and things. The next layer is the data layer, that breaks down the silos and connects the data elements through semantics and everything is coherent. And then the bottom layers, the legacy operational systems feed that data layer. George, explain what's different here, the graph database element, you talk about the relational query capabilities, and why can't I just throw memory at solving this problem? >> Some of the graph databases do throw memory at the problem and maybe without naming names, some of them live entirely in memory. And what you're dealing with is a prerelational in-memory database system where you navigate between elements, and the issue with that is we've had SQL for 50 years, so we don't have to navigate, we can say what we want without how to get it. That's the core of the problem. >> Okay. So if I may, I just want to drill into this a little bit. So you're talking about the expressiveness of a graph. Alex, if you'd bring that back out, the fourth bullet, expressiveness of a graph database with the relational ease of query. Can you explain what you mean by that? >> Yeah, so graphs are great because when you can describe anything with a graph, that's why they're becoming so popular. Expressive means you can represent anything easily. They're conducive to, you might say, in a world where we now want like the metaverse, like with a 3D world, and I don't mean the Facebook metaverse, I mean like the business metaverse when we want to capture data about everything, but we want it in context, we want to build a set of digital twins that represent everything going on in the world. And Uber is a tiny example of that. Uber built a graph to represent all the drivers and riders and maps and routes. But what you need out of a database isn't just a way to store stuff and update stuff. You need to be able to ask questions of it, you need to be able to query it. And if you go back to prerelational days, you had to know how to find your way to the data. It's sort of like when you give directions to someone and they didn't have a GPS system and a mapping system, you had to give them turn by turn directions. Whereas when you have a GPS and a mapping system, which is like the relational thing, you just say where you want to go, and it spits out the turn by turn directions, which let's say, the car might follow or whoever you're directing would follow. But the point is, it's much easier in a relational database to say, "I just want to get these results. You figure out how to get it." The graph database, they have not taken over the world because in some ways, it's taking a 50 year leap backwards. >> Alright, got it. Okay. Let's take a look at how the current Databricks offerings map to that ideal state that we just laid out. So to do that, we put together this chart that looks at the key elements of the Databricks portfolio, the core capability, the weakness, and the threat that may loom. Start with the Delta Lake, that's the storage layer, which is great for files and tables. It's got true separation of compute and storage, I want you to double click on that George, as independent elements, but it's weaker for the type of low latency ingest that we see coming in the future. And some of the threats highlighted here. AWS could add transactional tables to S3, Iceberg adoption is picking up and could accelerate, that could disrupt Databricks. George, add some color here please? >> Okay, so this is the sort of a classic competitive forces where you want to look at, so what are customers demanding? What's competitive pressure? What are substitutes? Even what your suppliers might be pushing. Here, Delta Lake is at its core, a set of transactional tables that sit on an object store. So think of it in a database system, this is the storage engine. So since S3 has been getting stronger for 15 years, you could see a scenario where they add transactional tables. We have an open source alternative in Iceberg, which Snowflake and others support. But at the same time, Databricks has built an ecosystem out of tools, their own and others, that read and write to Delta tables, that's what makes the Delta Lake and ecosystem. So they have a catalog, the whole machine learning tool chain talks directly to the data here. That was their great advantage because in the past with Snowflake, you had to pull all the data out of the database before the machine learning tools could work with it, that was a major shortcoming. They fixed that. But the point here is that even before we get to the semantic layer, the core foundation is under threat. >> Yep. Got it. Okay. We got a lot of ground to cover. So we're going to take a look at the Spark Execution Engine next. Think of that as the refinery that runs really efficient batch processing. That's kind of what disrupted the DOOp in a large way, but it's not Python friendly and that's an issue because the data science and the data engineering crowd are moving in that direction, and/or they're using DBT. George, we had Tristan Handy on at Supercloud, really interesting discussion that you and I did. Explain why this is an issue for Databricks? >> So once the data lake was in place, what people did was they refined their data batch, and Spark has always had streaming support and it's gotten better. The underlying storage as we've talked about is an issue. But basically they took raw data, then they refined it into tables that were like customers and products and partners. And then they refined that again into what was like gold artifacts, which might be business intelligence metrics or dashboards, which were collections of metrics. But they were running it on the Spark Execution Engine, which it's a Java-based engine or it's running on a Java-based virtual machine, which means all the data scientists and the data engineers who want to work with Python are really working in sort of oil and water. Like if you get an error in Python, you can't tell whether the problems in Python or where it's in Spark. There's just an impedance mismatch between the two. And then at the same time, the whole world is now gravitating towards DBT because it's a very nice and simple way to compose these data processing pipelines, and people are using either SQL in DBT or Python in DBT, and that kind of is a substitute for doing it all in Spark. So it's under threat even before we get to that semantic layer, it so happens that DBT itself is becoming the authoring environment for the semantic layer with business intelligent metrics. But that's again, this is the second element that's under direct substitution and competitive threat. >> Okay, let's now move down to the third element, which is the Photon. Photon is Databricks' BI Lakehouse, which has integration with the Databricks tooling, which is very rich, it's newer. And it's also not well suited for high concurrency and low latency use cases, which we think are going to increasingly become the norm over time. George, the call out threat here is customers want to connect everything to a semantic layer. Explain your thinking here and why this is a potential threat to Databricks? >> Okay, so two issues here. What you were touching on, which is the high concurrency, low latency, when people are running like thousands of dashboards and data is streaming in, that's a problem because SQL data warehouse, the query engine, something like that matures over five to 10 years. It's one of these things, the joke that Andy Jassy makes just in general, he's really talking about Azure, but there's no compression algorithm for experience. The Snowflake guy started more than five years earlier, and for a bunch of reasons, that lead is not something that Databricks can shrink. They'll always be behind. So that's why Snowflake has transactional tables now and we can get into that in another show. But the key point is, so near term, it's struggling to keep up with the use cases that are core to business intelligence, which is highly concurrent, lots of users doing interactive query. But then when you get to a semantic layer, that's when you need to be able to query data that might have thousands or tens of thousands or hundreds of thousands of joins. And that's a SQL query engine, traditional SQL query engine is just not built for that. That's the core problem of traditional relational databases. >> Now this is a quick aside. We always talk about Snowflake and Databricks in sort of the same context. We're not necessarily saying that Snowflake is in a position to tackle all these problems. We'll deal with that separately. So we don't mean to imply that, but we're just sort of laying out some of the things that Snowflake or rather Databricks customers we think, need to be thinking about and having conversations with Databricks about and we hope to have them as well. We'll come back to that in terms of sort of strategic options. But finally, when come back to the table, we have Databricks' AI/ML Tool Chain, which has been an awesome capability for the data science crowd. It's comprehensive, it's a one-stop shop solution, but the kicker here is that it's optimized for supervised model building. And the concern is that foundational models like GPT could cannibalize the current Databricks tooling, but George, can't Databricks, like other software companies, integrate foundation model capabilities into its platform? >> Okay, so the sound bite answer to that is sure, IBM 3270 terminals could call out to a graphical user interface when they're running on the XT terminal, but they're not exactly good citizens in that world. The core issue is Databricks has this wonderful end-to-end tool chain for training, deploying, monitoring, running inference on supervised models. But the paradigm there is the customer builds and trains and deploys each model for each feature or application. In a world of foundation models which are pre-trained and unsupervised, the entire tool chain is different. So it's not like Databricks can junk everything they've done and start over with all their engineers. They have to keep maintaining what they've done in the old world, but they have to build something new that's optimized for the new world. It's a classic technology transition and their mentality appears to be, "Oh, we'll support the new stuff from our old stuff." Which is suboptimal, and as we'll talk about, their biggest patron and the company that put them on the map, Microsoft, really stopped working on their old stuff three years ago so that they could build a new tool chain optimized for this new world. >> Yeah, and so let's sort of close with what we think the options are and decisions that Databricks has for its future architecture. They're smart people. I mean we've had Ali Ghodsi on many times, super impressive. I think they've got to be keenly aware of the limitations, what's going on with foundation models. But at any rate, here in this chart, we lay out sort of three scenarios. One is re-architect the platform by incrementally adopting new technologies. And example might be to layer a graph query engine on top of its stack. They could license key technologies like graph database, they could get aggressive on M&A and buy-in, relational knowledge graphs, semantic technologies, vector database technologies. George, as David Floyer always says, "A lot of ways to skin a cat." We've seen companies like, even think about EMC maintained its relevance through M&A for many, many years. George, give us your thought on each of these strategic options? >> Okay, I find this question the most challenging 'cause remember, I used to be an equity research analyst. I worked for Frank Quattrone, we were one of the top tech shops in the banking industry, although this is 20 years ago. But the M&A team was the top team in the industry and everyone wanted them on their side. And I remember going to meetings with these CEOs, where Frank and the bankers would say, "You want us for your M&A work because we can do better." And they really could do better. But in software, it's not like with EMC in hardware because with hardware, it's easier to connect different boxes. With software, the whole point of a software company is to integrate and architect the components so they fit together and reinforce each other, and that makes M&A harder. You can do it, but it takes a long time to fit the pieces together. Let me give you examples. If they put a graph query engine, let's say something like TinkerPop, on top of, I don't even know if it's possible, but let's say they put it on top of Delta Lake, then you have this graph query engine talking to their storage layer, Delta Lake. But if you want to do analysis, you got to put the data in Photon, which is not really ideal for highly connected data. If you license a graph database, then most of your data is in the Delta Lake and how do you sync it with the graph database? If you do sync it, you've got data in two places, which kind of defeats the purpose of having a unified repository. I find this semantic layer option in number three actually more promising, because that's something that you can layer on top of the storage layer that you have already. You just have to figure out then how to have your query engines talk to that. What I'm trying to highlight is, it's easy as an analyst to say, "You can buy this company or license that technology." But the really hard work is making it all work together and that is where the challenge is. >> Yeah, and well look, I thank you for laying that out. We've seen it, certainly Microsoft and Oracle. I guess you might argue that well, Microsoft had a monopoly in its desktop software and was able to throw off cash for a decade plus while it's stock was going sideways. Oracle had won the database wars and had amazing margins and cash flow to be able to do that. Databricks isn't even gone public yet, but I want to close with some of the players to watch. Alex, if you'd bring that back up, number four here. AWS, we talked about some of their options with S3 and it's not just AWS, it's blob storage, object storage. Microsoft, as you sort of alluded to, was an early go-to market channel for Databricks. We didn't address that really. So maybe in the closing comments we can. Google obviously, Snowflake of course, we're going to dissect their options in future Breaking Analysis. Dbt labs, where do they fit? Bob Muglia's company, Relational.ai, why are these players to watch George, in your opinion? >> So everyone is trying to assemble and integrate the pieces that would make building data applications, data products easy. And the critical part isn't just assembling a bunch of pieces, which is traditionally what AWS did. It's a Unix ethos, which is we give you the tools, you put 'em together, 'cause you then have the maximum choice and maximum power. So what the hyperscalers are doing is they're taking their key value stores, in the case of ASW it's DynamoDB, in the case of Azure it's Cosmos DB, and each are putting a graph query engine on top of those. So they have a unified storage and graph database engine, like all the data would be collected in the key value store. Then you have a graph database, that's how they're going to be presenting a foundation for building these data apps. Dbt labs is putting a semantic layer on top of data lakes and data warehouses and as we'll talk about, I'm sure in the future, that makes it easier to swap out the underlying data platform or swap in new ones for specialized use cases. Snowflake, what they're doing, they're so strong in data management and with their transactional tables, what they're trying to do is take in the operational data that used to be in the province of many state stores like MongoDB and say, "If you manage that data with us, it'll be connected to your analytic data without having to send it through a pipeline." And that's hugely valuable. Relational.ai is the wildcard, 'cause what they're trying to do, it's almost like a holy grail where you're trying to take the expressiveness of connecting all your data in a graph but making it as easy to query as you've always had it in a SQL database or I should say, in a relational database. And if they do that, it's sort of like, it'll be as easy to program these data apps as a spreadsheet was compared to procedural languages, like BASIC or Pascal. That's the implications of Relational.ai. >> Yeah, and again, we talked before, why can't you just throw this all in memory? We're talking in that example of really getting down to differences in how you lay the data out on disk in really, new database architecture, correct? >> Yes. And that's why it's not clear that you could take a data lake or even a Snowflake and why you can't put a relational knowledge graph on those. You could potentially put a graph database, but it'll be compromised because to really do what Relational.ai has done, which is the ease of Relational on top of the power of graph, you actually need to change how you're storing your data on disk or even in memory. So you can't, in other words, it's not like, oh we can add graph support to Snowflake, 'cause if you did that, you'd have to change, or in your data lake, you'd have to change how the data is physically laid out. And then that would break all the tools that talk to that currently. >> What in your estimation, is the timeframe where this becomes critical for a Databricks and potentially Snowflake and others? I mentioned earlier midterm, are we talking three to five years here? Are we talking end of decade? What's your radar say? >> I think something surprising is going on that's going to sort of come up the tailpipe and take everyone by storm. All the hype around business intelligence metrics, which is what we used to put in our dashboards where bookings, billings, revenue, customer, those things, those were the key artifacts that used to live in definitions in your BI tools, and DBT has basically created a standard for defining those so they live in your data pipeline or they're defined in their data pipeline and executed in the data warehouse or data lake in a shared way, so that all tools can use them. This sounds like a digression, it's not. All this stuff about data mesh, data fabric, all that's going on is we need a semantic layer and the business intelligence metrics are defining common semantics for your data. And I think we're going to find by the end of this year, that metrics are how we annotate all our analytic data to start adding common semantics to it. And we're going to find this semantic layer, it's not three to five years off, it's going to be staring us in the face by the end of this year. >> Interesting. And of course SVB today was shut down. We're seeing serious tech headwinds, and oftentimes in these sort of downturns or flat turns, which feels like this could be going on for a while, we emerge with a lot of new players and a lot of new technology. George, we got to leave it there. Thank you to George Gilbert for excellent insights and input for today's episode. I want to thank Alex Myerson who's on production and manages the podcast, of course Ken Schiffman as well. Kristin Martin and Cheryl Knight help get the word out on social media and in our newsletters. And Rob Hof is our EIC over at Siliconangle.com, he does some great editing. Remember all these episodes, they're available as podcasts. Wherever you listen, all you got to do is search Breaking Analysis Podcast, we publish each week on wikibon.com and siliconangle.com, or you can email me at David.Vellante@siliconangle.com, or DM me @DVellante. Comment on our LinkedIn post, and please do check out ETR.ai, great survey data, enterprise tech focus, phenomenal. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, and we'll see you next time on Breaking Analysis.

Published Date : Mar 10 2023

SUMMARY :

bringing you data-driven core elements of the Databricks portfolio and pervasiveness in the data and that was where you went for data. and Cloudera set out to fix that. the reason you see and the robustness of Databricks and their big challenge and the data locked into in the real world and decisions Yes, and the mission of that is propelling the likes that the way you manage that data, is the fundamental problem because the joins are difficult and slow. and connects the data and the issue with that is the fourth bullet, expressiveness and it spits out the and the threat that may loom. because in the past with Snowflake, Think of that as the refinery So once the data lake was in place, George, the call out threat here But the key point is, in sort of the same context. and the company that put One is re-architect the platform and architect the components some of the players to watch. in the case of ASW it's DynamoDB, and why you can't put a relational and executed in the data and manages the podcast, of

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
Alex MyersonPERSON

0.99+

David FloyerPERSON

0.99+

Mike OlsonPERSON

0.99+

2014DATE

0.99+

George GilbertPERSON

0.99+

Dave VellantePERSON

0.99+

GeorgePERSON

0.99+

Cheryl KnightPERSON

0.99+

Ken SchiffmanPERSON

0.99+

Andy JassyPERSON

0.99+

OracleORGANIZATION

0.99+

AmazonORGANIZATION

0.99+

Erik BradleyPERSON

0.99+

DavePERSON

0.99+

UberORGANIZATION

0.99+

thousandsQUANTITY

0.99+

Sun MicrosystemsORGANIZATION

0.99+

50 yearsQUANTITY

0.99+

AWSORGANIZATION

0.99+

Bob MugliaPERSON

0.99+

GartnerORGANIZATION

0.99+

AirbnbORGANIZATION

0.99+

60 yearsQUANTITY

0.99+

MicrosoftORGANIZATION

0.99+

Ali GhodsiPERSON

0.99+

2010DATE

0.99+

DatabricksORGANIZATION

0.99+

Kristin MartinPERSON

0.99+

Rob HofPERSON

0.99+

threeQUANTITY

0.99+

15 yearsQUANTITY

0.99+

Databricks'ORGANIZATION

0.99+

two placesQUANTITY

0.99+

BostonLOCATION

0.99+

Tristan HandyPERSON

0.99+

M&AORGANIZATION

0.99+

Frank QuattronePERSON

0.99+

second elementQUANTITY

0.99+

Daren BrabhamPERSON

0.99+

TechAlpha PartnersORGANIZATION

0.99+

third elementQUANTITY

0.99+

SnowflakeORGANIZATION

0.99+

50 yearQUANTITY

0.99+

40%QUANTITY

0.99+

ClouderaORGANIZATION

0.99+

Palo AltoLOCATION

0.99+

five yearsQUANTITY

0.99+

Steven Hillion & Jeff Fletcher, Astronomer | AWS Startup Showcase S3E1


 

(upbeat music) >> Welcome everyone to theCUBE's presentation of the AWS Startup Showcase AI/ML Top Startups Building Foundation Model Infrastructure. This is season three, episode one of our ongoing series covering exciting startups from the AWS ecosystem to talk about data and analytics. I'm your host, Lisa Martin and today we're excited to be joined by two guests from Astronomer. Steven Hillion joins us, it's Chief Data Officer and Jeff Fletcher, it's director of ML. They're here to talk about machine learning and data orchestration. Guys, thank you so much for joining us today. >> Thank you. >> It's great to be here. >> Before we get into machine learning let's give the audience an overview of Astronomer. Talk about what that is, Steven. Talk about what you mean by data orchestration. >> Yeah, let's start with Astronomer. We're the Airflow company basically. The commercial developer behind the open-source project, Apache Airflow. I don't know if you've heard of Airflow. It's sort of de-facto standard these days for orchestrating data pipelines, data engineering pipelines, and as we'll talk about later, machine learning pipelines. It's really is the de-facto standard. I think we're up to about 12 million downloads a month. That's actually as a open-source project. I think at this point it's more popular by some measures than Slack. Airflow was created by Airbnb some years ago to manage all of their data pipelines and manage all of their workflows and now it powers the data ecosystem for organizations as diverse as Electronic Arts, Conde Nast is one of our big customers, a big user of Airflow. And also not to mention the biggest banks on Wall Street use Airflow and Astronomer to power the flow of data throughout their organizations. >> Talk about that a little bit more, Steven, in terms of the business impact. You mentioned some great customer names there. What is the business impact or outcomes that a data orchestration strategy enables businesses to achieve? >> Yeah, I mean, at the heart of it is quite simply, scheduling and managing data pipelines. And so if you have some enormous retailer who's managing the flow of information throughout their organization they may literally have thousands or even tens of thousands of data pipelines that need to execute every day to do things as simple as delivering metrics for the executives to consume at the end of the day, to producing on a weekly basis new machine learning models that can be used to drive product recommendations. One of our customers, for example, is a British food delivery service. And you get those recommendations in your application that says, "Well, maybe you want to have samosas with your curry." That sort of thing is powered by machine learning models that they train on a regular basis to reflect changing conditions in the market. And those are produced through Airflow and through the Astronomer platform, which is essentially a managed platform for running airflow. So at its simplest it really is just scheduling and managing those workflows. But that's easier said than done of course. I mean if you have 10 thousands of those things then you need to make sure that they all run that they all have sufficient compute resources. If things fail, how do you track those down across those 10,000 workflows? How easy is it for an average data scientist or data engineer to contribute their code, their Python notebooks or their SQL code into a production environment? And then you've got reproducibility, governance, auditing, like managing data flows across an organization which we think of as orchestrating them is much more than just scheduling. It becomes really complicated pretty quickly. >> I imagine there's a fair amount of complexity there. Jeff, let's bring you into the conversation. Talk a little bit about Astronomer through your lens, data orchestration and how it applies to MLOps. >> So I come from a machine learning background and for me the interesting part is that machine learning requires the expansion into orchestration. A lot of the same things that you're using to go and develop and build pipelines in a standard data orchestration space applies equally well in a machine learning orchestration space. What you're doing is you're moving data between different locations, between different tools, and then tasking different types of tools to act on that data. So extending it made logical sense from a implementation perspective. And a lot of my focus at Astronomer is really to explain how Airflow can be used well in a machine learning context. It is being used well, it is being used a lot by the customers that we have and also by users of the open source version. But it's really being able to explain to people why it's a natural extension for it and how well it fits into that. And a lot of it is also extending some of the infrastructure capabilities that Astronomer provides to those customers for them to be able to run some of the more platform specific requirements that come with doing machine learning pipelines. >> Let's get into some of the things that make Astronomer unique. Jeff, sticking with you, when you're in customer conversations, what are some of the key differentiators that you articulate to customers? >> So a lot of it is that we are not specific to one cloud provider. So we have the ability to operate across all of the big cloud providers. I know, I'm certain we have the best developers that understand how best practices implementations for data orchestration works. So we spend a lot of time talking to not just the business outcomes and the business users of the product, but also also for the technical people, how to help them better implement things that they may have come across on a Stack Overflow article or not necessarily just grown with how the product has migrated. So it's the ability to run it wherever you need to run it and also our ability to help you, the customer, better implement and understand those workflows that I think are two of the primary differentiators that we have. >> Lisa: Got it. >> I'll add another one if you don't mind. >> You can go ahead, Steven. >> Is lineage and dependencies between workflows. One thing we've done is to augment core Airflow with Lineage services. So using the Open Lineage framework, another open source framework for tracking datasets as they move from one workflow to another one, team to another, one data source to another is a really key component of what we do and we bundle that within the service so that as a developer or as a production engineer, you really don't have to worry about lineage, it just happens. Jeff, may show us some of this later that you can actually see as data flows from source through to a data warehouse out through a Python notebook to produce a predictive model or a dashboard. Can you see how those data products relate to each other? And when something goes wrong, figure out what upstream maybe caused the problem, or if you're about to change something, figure out what the impact is going to be on the rest of the organization. So Lineage is a big deal for us. >> Got it. >> And just to add on to that, the other thing to think about is that traditional Airflow is actually a complicated implementation. It required quite a lot of time spent understanding or was almost a bespoke language that you needed to be able to develop in two write these DAGs, which is like fundamental pipelines. So part of what we are focusing on is tooling that makes it more accessible to say a data analyst or a data scientist who doesn't have or really needs to gain the necessary background in how the semantics of Airflow DAGs works to still be able to get the benefit of what Airflow can do. So there is new features and capabilities built into the astronomer cloud platform that effectively obfuscates and removes the need to understand some of the deep work that goes on. But you can still do it, you still have that capability, but we are expanding it to be able to have orchestrated and repeatable processes accessible to more teams within the business. >> In terms of accessibility to more teams in the business. You talked about data scientists, data analysts, developers. Steven, I want to talk to you, as the chief data officer, are you having more and more conversations with that role and how is it emerging and evolving within your customer base? >> Hmm. That's a good question, and it is evolving because I think if you look historically at the way that Airflow has been used it's often from the ground up. You have individual data engineers or maybe single data engineering teams who adopt Airflow 'cause it's very popular. Lots of people know how to use it and they bring it into an organization and say, "Hey, let's use this to run our data pipelines." But then increasingly as you turn from pure workflow management and job scheduling to the larger topic of orchestration you realize it gets pretty complicated, you want to have coordination across teams, and you want to have standardization for the way that you manage your data pipelines. And so having a managed service for Airflow that exists in the cloud is easy to spin up as you expand usage across the organization. And thinking long term about that in the context of orchestration that's where I think the chief data officer or the head of analytics tends to get involved because they really want to think of this as a strategic investment that they're making. Not just per team individual Airflow deployments, but a network of data orchestrators. >> That network is key. Every company these days has to be a data company. We talk about companies being data driven. It's a common word, but it's true. It's whether it is a grocer or a bank or a hospital, they've got to be data companies. So talk to me a little bit about Astronomer's business model. How is this available? How do customers get their hands on it? >> Jeff, go ahead. >> Yeah, yeah. So we have a managed cloud service and we have two modes of operation. One, you can bring your own cloud infrastructure. So you can say here is an account in say, AWS or Azure and we can go and deploy the necessary infrastructure into that, or alternatively we can host everything for you. So it becomes a full SaaS offering. But we then provide a platform that connects at the backend to your internal IDP process. So however you are authenticating users to make sure that the correct people are accessing the services that they need with role-based access control. From there we are deploying through Kubernetes, the different services and capabilities into either your cloud account or into an account that we host. And from there Airflow does what Airflow does, which is its ability to then reach to different data systems and data platforms and to then run the orchestration. We make sure we do it securely, we have all the necessary compliance certifications required for GDPR in Europe and HIPAA based out of the US, and a whole bunch host of others. So it is a secure platform that can run in a place that you need it to run, but it is a managed Airflow that includes a lot of the extra capabilities like the cloud developer environment and the open lineage services to enhance the overall airflow experience. >> Enhance the overall experience. So Steven, going back to you, if I'm a Conde Nast or another organization, what are some of the key business outcomes that I can expect? As one of the things I think we've learned during the pandemic is access to realtime data is no longer a nice to have for organizations. It's really an imperative. It's that demanding consumer that wants to have that personalized, customized, instant access to a product or a service. So if I'm a Conde Nast or I'm one of your customers, what can I expect my business to be able to achieve as a result of data orchestration? >> Yeah, I think in a nutshell it's about providing a reliable, scalable, and easy to use service for developing and running data workflows. And talking of demanding customers, I mean, I'm actually a customer myself, as you mentioned, I'm the head of data for Astronomer. You won't be surprised to hear that we actually use Astronomer and Airflow to run all of our data pipelines. And so I can actually talk about my experience. When I started I was of course familiar with Airflow, but it always seemed a little bit unapproachable to me if I was introducing that to a new team of data scientists. They don't necessarily want to have to think about learning something new. But I think because of the layers that Astronomer has provided with our Astro service around Airflow it was pretty easy for me to get up and running. Of course I've got an incentive for doing that. I work for the Airflow company, but we went from about, at the beginning of last year, about 500 data tasks that we were running on a daily basis to about 15,000 every day. We run something like a million data operations every month within my team. And so as one outcome, just the ability to spin up new production workflows essentially in a single day you go from an idea in the morning to a new dashboard or a new model in the afternoon, that's really the business outcome is just removing that friction to operationalizing your machine learning and data workflows. >> And I imagine too, oh, go ahead, Jeff. >> Yeah, I think to add to that, one of the things that becomes part of the business cycle is a repeatable capabilities for things like reporting, for things like new machine learning models. And the impediment that has existed is that it's difficult to take that from a team that's an analyst team who then provide that or a data science team that then provide that to the data engineering team who have to work the workflow all the way through. What we're trying to unlock is the ability for those teams to directly get access to scheduling and orchestrating capabilities so that a business analyst can have a new report for C-suite execs that needs to be done once a week, but the time to repeatability for that report is much shorter. So it is then immediately in the hands of the person that needs to see it. It doesn't have to go into a long list of to-dos for a data engineering team that's already overworked that they eventually get it to it in a month's time. So that is also a part of it is that the realizing, orchestration I think is fairly well and a lot of people get the benefit of being able to orchestrate things within a business, but it's having more people be able to do it and shorten the time that that repeatability is there is one of the main benefits from good managed orchestration. >> So a lot of workforce productivity improvements in what you're doing to simplify things, giving more people access to data to be able to make those faster decisions, which ultimately helps the end user on the other end to get that product or the service that they're expecting like that. Jeff, I understand you have a demo that you can share so we can kind of dig into this. >> Yeah, let me take you through a quick look of how the whole thing works. So our starting point is our cloud infrastructure. This is the login. You go to the portal. You can see there's a a bunch of workspaces that are available. Workspaces are like individual places for people to operate in. I'm not going to delve into all the deep technical details here, but starting point for a lot of our data science customers is we have what we call our Cloud IDE, which is a web-based development environment for writing and building out DAGs without actually having to know how the underpinnings of Airflow work. This is an internal one, something that we use. You have a notebook-like interface that lets you write python code and SQL code and a bunch of specific bespoke type of blocks if you want. They all get pulled together and create a workflow. So this is a workflow, which gets compiled to something that looks like a complicated set of Python code, which is the DAG. I then have a CICD process pipeline where I commit this through to my GitHub repo. So this comes to a repo here, which is where these DAGs that I created in the previous step exist. I can then go and say, all right, I want to see how those particular DAGs have been running. We then get to the actual Airflow part. So this is the managed Airflow component. So we add the ability for teams to fairly easily bring up an Airflow instance and write code inside our notebook-like environment to get it into that instance. So you can see it's been running. That same process that we built here that graph ends up here inside this, but you don't need to know how the fundamentals of Airflow work in order to get this going. Then we can run one of these, it runs in the background and we can manage how it goes. And from there, every time this runs, it's emitting to a process underneath, which is the open lineage service, which is the lineage integration that allows me to come in here and have a look and see this was that actual, that same graph that we built, but now it's the historic version. So I know where things started, where things are going, and how it ran. And then I can also do a comparison. So if I want to see how this particular run worked compared to one historically, I can grab one from a previous date and it will show me the comparison between the two. So that combination of managed Airflow, getting Airflow up and running very quickly, but the Cloud IDE that lets you write code and know how to get something into a repeatable format get that into Airflow and have that attached to the lineage process adds what is a complete end-to-end orchestration process for any business looking to get the benefit from orchestration. >> Outstanding. Thank you so much Jeff for digging into that. So one of my last questions, Steven is for you. This is exciting. There's a lot that you guys are enabling organizations to achieve here to really become data-driven companies. So where can folks go to get their hands on this? >> Yeah, just go to astronomer.io and we have plenty of resources. If you're new to Airflow, you can read our documentation, our guides to getting started. We have a CLI that you can download that is really I think the easiest way to get started with Airflow. But you can actually sign up for a trial. You can sign up for a guided trial where our teams, we have a team of experts, really the world experts on getting Airflow up and running. And they'll take you through that trial and allow you to actually kick the tires and see how this works with your data. And I think you'll see pretty quickly that it's very easy to get started with Airflow, whether you're doing that from the command line or doing that in our cloud service. And all of that is available on our website >> astronomer.io. Jeff, last question for you. What are you excited about? There's so much going on here. What are some of the things, maybe you can give us a sneak peek coming down the road here that prospects and existing customers should be excited about? >> I think a lot of the development around the data awareness components, so one of the things that's traditionally been complicated with orchestration is you leave your data in the place that you're operating on and we're starting to have more data processing capability being built into Airflow. And from a Astronomer perspective, we are adding more capabilities around working with larger datasets, doing bigger data manipulation with inside the Airflow process itself. And that lends itself to better machine learning implementation. So as we start to grow and as we start to get better in the machine learning context, well, in the data awareness context, it unlocks a lot more capability to do and implement proper machine learning pipelines. >> Awesome guys. Exciting stuff. Thank you so much for talking to me about Astronomer, machine learning, data orchestration, and really the value in it for your customers. Steve and Jeff, we appreciate your time. >> Thank you. >> My pleasure, thanks. >> And we thank you for watching. This is season three, episode one of our ongoing series covering exciting startups from the AWS ecosystem. I'm your host, Lisa Martin. You're watching theCUBE, the leader in live tech coverage. (upbeat music)

Published Date : Mar 9 2023

SUMMARY :

of the AWS Startup Showcase let's give the audience and now it powers the data ecosystem What is the business impact or outcomes for the executives to consume how it applies to MLOps. and for me the interesting that you articulate to customers? So it's the ability to run it if you don't mind. that you can actually see as data flows the other thing to think about to more teams in the business. about that in the context of orchestration So talk to me a little bit at the backend to your So Steven, going back to you, just the ability to spin up but the time to repeatability a demo that you can share that allows me to come There's a lot that you guys We have a CLI that you can download What are some of the things, in the place that you're operating on and really the value in And we thank you for watching.

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
JeffPERSON

0.99+

Lisa MartinPERSON

0.99+

Jeff FletcherPERSON

0.99+

StevenPERSON

0.99+

StevePERSON

0.99+

Steven HillionPERSON

0.99+

LisaPERSON

0.99+

EuropeLOCATION

0.99+

Conde NastORGANIZATION

0.99+

USLOCATION

0.99+

thousandsQUANTITY

0.99+

twoQUANTITY

0.99+

HIPAATITLE

0.99+

AWSORGANIZATION

0.99+

two guestsQUANTITY

0.99+

AirflowORGANIZATION

0.99+

AirbnbORGANIZATION

0.99+

10 thousandsQUANTITY

0.99+

OneQUANTITY

0.99+

Electronic ArtsORGANIZATION

0.99+

oneQUANTITY

0.99+

PythonTITLE

0.99+

two modesQUANTITY

0.99+

AirflowTITLE

0.98+

10,000 workflowsQUANTITY

0.98+

about 500 data tasksQUANTITY

0.98+

todayDATE

0.98+

one outcomeQUANTITY

0.98+

tens of thousandsQUANTITY

0.98+

GDPRTITLE

0.97+

SQLTITLE

0.97+

GitHubORGANIZATION

0.96+

astronomer.ioOTHER

0.94+

SlackORGANIZATION

0.94+

AstronomerORGANIZATION

0.94+

some years agoDATE

0.92+

once a weekQUANTITY

0.92+

AstronomerTITLE

0.92+

theCUBEORGANIZATION

0.92+

last yearDATE

0.91+

KubernetesTITLE

0.88+

single dayQUANTITY

0.87+

about 15,000 every dayQUANTITY

0.87+

one cloudQUANTITY

0.86+

IDETITLE

0.86+