>>Thanks. Hey, everyone, welcome back to the cubes. Continuing coverage of snowflakes. Summit 22 live from Caesars Forum in Las Vegas. Lisa Martin here. I have three guests here with me. We're gonna be talking about Snowflake Ventures and the snowflakes start up Challenge. That's in its second year. I've got Harry Glaser with me. Co founder and CEO of Model Bit Start Up Challenge finalist Damon Bryan joins us as well. The CTO and co founder of Hyper Affinity. Also a startup Challenge Finalists. And Stephane Williams to my left here, VP of Corporate development and snowflake Ventures. Guys, great to have you all on this little mini panel this morning. >>Thank you. >>Thank you. >>Let's go ahead, Harry, and we'll start with you. Talk to the audience about model. But what do you guys do? And then we'll kind of unpack the snowflake. The Snowflakes challenge >>Model bit is the easiest way for data scientists to deploy machine learning models directly into Snowflake. We make use of the latest snowflake functionality called Snow Park for python that allows those models to run adjacent to the data so that machine learning models can be much more efficient and much more powerful than they were before. >>Awesome. Damon. Give us an overview of hyper affinity. >>Yes, so hyper affinity were Decision Intelligence platform. So we helped. Specifically retailers and brands make intelligent decisions through the use of their own customer, data their product data and put data science in a I into the heart of the decision makers across their business. >>Nice Step seven. Tell us about the startup challenge. We talked a little bit about it yesterday with CMO Denise Pearson, but I know it's in its second year. Give us the idea of the impetus for it, what it's all about and what these companies embody. >>Yeah, so we This is the second year that we've done it. Um, we it was really out of, um Well, it starts with snowflake Ventures when we started to invest in companies, and we quickly realised that there's there's a massive opportunity for companies to be building on top of the Lego blocks, uh, of snowflake. And so, um, open up the competition. Last year it was the inaugural competition overlay analytics one, Um, and since then, you've seen a number of different functionalities and features as part of snowflakes snow part. Being one of them native applications is a really exciting one going forward. Um, the companies can really use to accelerate their ability to kind of deliver best in class applications using best in class technology to deliver real customer outcomes and value. Um, so we've we've seen tremendous traction across the globe, 250 applicants across 50. I think 70 countries was mentioned today, so truly global in nature. And it's really exciting to see how some of the start ups are taking snowflake to to to new and interesting use cases and new personas and new industries. >>So you had 200 over 250 software companies applied for this. How did you did you narrow it down to three? >>We did. Yeah, >>you do that. >>So, behind the scenes, we had a sub judging panel, the ones you didn't see up on stage, which I was luckily part of. We had kind of very distinct evaluation criteria that we were evaluating every company across. Um and we kind of took in tranches, right? We we took the first big garden, and we kind of try to get that down to a top 50 and top 50. Then we really went into the details and we kind of across, um, myself in ventures with some of my venture partners. Um, some of the market teams, some of the product and engineering team, all kind of came together and evaluated all of these different companies to get to the top 10, which was our semifinalists and then the semi finalists, or had a chance to present in front of the group. So we get. We got to meet over Zoom along the way where they did a pitch, a five minute pitch followed by a Q and A in a similar former, I guess, to what we just went through the startup challenge live, um, to get to the top three. And then here we are today, just coming out of the competition with with With folks here on the table. >>Wow, Harry talked to us about How did you just still down what model bit is doing into five minutes over Zoom and then five minutes this morning in person? >>I think it was really fun to have that pressure test where, you know, we've only been doing this for a short time. In fact model. It's only been a company for four or five months now, and to have this process where we pitch and pitch again and pitch again and pitch again really helped us nail the one sentence value proposition, which we hadn't done previously. So in that way, very grateful to step on in the team for giving us that opportunity. >>That helps tremendously. I can imagine being a 4 to 5 months young start up and really trying to figure out I've worked with those young start ups before. Messaging is challenging the narrative. Who are we? What do we do? How are we changing or chasing the market? What are our customers saying we are? That's challenging. So this was a good opportunity for you, Damon. Would you say the same as well for hyper affinity? >>Yeah, definitely conquer. It's really helped us to shape our our value proposition early and how we speak about that. It's quite complicated stuff, data science when you're trying to get across what you do, especially in retail, that we work in. So part of what our platform does is to help them make sense of data science and Ai and implement that into commercial decisions. So you have to be really kind of snappy with how you position things. And it's really helped us to do that. We're a little bit further down the line than than these guys we've been going for three years. So we've had the benefit of working with a lot of retailers to this point to actually identify what their problems are and shape our product and our proposition towards. >>Are you primarily working with the retail industry? >>Yes, Retail and CPG? Our primary use case. We have seen any kind of consumer related industries. >>Got it. Massive changes right in retail and CPG the last couple of years, the rise of consumer expectations. It's not going to go back down, right? We're impatient. We want brands to know who we are. I want you to deliver relevant content to me that if I if I bought a tent, go back on your website, don't show me more tense. Show me things that go with that. We have this expectation. You >>just explain the whole business. But >>it's so challenging because the brothers brands have to respond to that. How do you what is the value for retailers working with hyper affinity and snowflake together. What's that powerhouse? >>Yeah, exactly. So you're exactly right. The retail landscape is changing massively. There's inflation everywhere. The pandemic really impacted what consumers really value out of shopping with retailers. And those decisions are even harder for retailers to make. So that's kind of what our platform does. It helps them to make those decisions quickly, get the power of data science or democratise it into the hands of those decision makers. Um, so our platform helps to do that. And Snowflake really underpins that. You know, the scalability of snowflake means that we can scale the data and the capability that platform in tangent with that and snowflake have been innovating a lot of things like Snow Park and then the new announcements, announcements, uni store and a native APP framework really helping us to make developments to our product as quick as snowflakes are doing it. So it's really beneficial. >>You get kind of that tailwind from snowflakes acceleration. It sounds like >>exactly that. Yeah. So as soon as we hear about new things were like, Can we use it? You know, and Snow Park in particular was music to our ears, and we actually part of private preview for that. So we've been using that while and again some of the new developments will be. I'm on the phone to my guys saying, Can we use this? Get it, get it implemented pretty quickly. So yeah, >>fantastic. Sounds like a great aligned partnership there, Harry. Talk to us a little bit about model bit and how it's enabling customers. Maybe you've got a favourite customer example at model bit plus snowflake, the power that delivers to the end user customer? >>Absolutely. I mean, as I said, it allows you to deploy the M L model directly into snowflake. But sometimes you need to use the exact same machine learning model in multiple endpoints simultaneously. For example, one of our customers uses model bit to train and deploy a lead scoring model. So you know when somebody comes into your website and they fill out the form like they want to talk to a sales person, is this gonna be a really good customer? Do we think or maybe not so great? Maybe they won't pay quite as much, and that lead scoring model actually runs on the website using model bit so that you can deploy display a custom experience to that customer we know right away. If this is an A, B, C or D lead, and therefore do we show them a salesperson contact form? Do we just put them in the marketing funnel? Based on that lead score simultaneously, the business needs to know in the back office the score of the lead so that they can do things like routed to the appropriate salesperson or update their sales forecasts for the end of the quarter. That same model also runs in the in the snowflake warehouse so that those back office systems can be powered directly off of snowflake. The fact that they're able to train and deploy one model into two production environment simultaneously and manage all that is something they can only do with bottled it. >>Lead scoring has been traditionally challenging for businesses in every industry, but it's so incredibly important, especially as consumers get pickier and pickier with. I don't want I don't want to be measured. I want to opt out. What sounds like what model but is enabling is especially alignment between sales and marketing within companies, which is That's also a big challenge at many companies face for >>us. It starts with the data scientist, right? The fact that sales and marketing may not be aligned might be an issue with the source of truth. And do we have a source of truth at this company? And so the idea that we can empower these data scientists who are creating this value in the company by giving them best in class tools and resources That's our dream. That's our mission. >>Talk to me a little bit, Harry. You said you're only 4 to 5 months old. What were the gaps in the market that you and your co founders saw and said, Guys, we've got to solve this. And Snowflake is the right partner to help us do it. >>Absolutely. We This is actually our second start up, and we started previously a data Analytics company that was somewhat successful, and it got caught up in this big wave of migration of cloud tools. So all of data tools moved and are moving from on premise tools to cloud based tools. This is really a migration. That snowflake catalyst Snowflake, of course, is the ultimate in cloud based data platforms, moving customers from on premise data warehouses to modern cloud based data clouds that dragged and pulled the rest of the industry along with it. Data Science is one of the last pieces of the data industry that really hasn't moved to the cloud yet. We were almost surprised when we got done with our last start up. We were thinking about what to do next. The data scientists were still using Jupiter notebooks locally on their laptops, and we thought, This is a big market opportunity and we're We're almost surprised it hasn't been captured yet, and we're going to get in there. >>The other thing. I think it's really interesting on your business that we haven't talked about is just the the flow of data, right? So that the data scientist is usually taking data out of a of a of a day like something like Smoke like a data platform and the security kind of breaks down because then it's one. It's two, it's three, it's five, it's 20. Its, you know, big companies just gets really big. And so I think the really interesting thing with what you guys are doing is enabling the data to stay where it's at, not copping out keeping that security, that that highly governed environment that big companies want but allowing the data science community to really unlock that value from the data, which is really, really >>cool. Wonderful for small startups like Model Bit. Because you talk to a big company, you want them to become a customer. You want them to use your data science technology. They want to see your fed ramp certification. They want to talk to your C. So we're two guys in Silicon Valley with a dream. But if we can tell them the data is staying in snowflake and you have that conversation with Snowflake all the time and you trust them were just built on top. That is an easy and very smooth way to have that conversation with the customer. >>Would you both say that there's credibility like you got street cred, especially being so so early in this stage? Harry, with the partnership with With Snowflake Damon, we'll start with you. >>Yeah, absolutely. We've been using Snowflake from day one. We leave from when we started our company, and it was a little bit of an unknown, I guess maybe 23 years ago, especially in retail. A lot of retailers using all the legacy kind of enterprise software, are really starting to adopt the cloud now with what they're doing and obviously snowflake really innovating in that area. So what we're finding is we use Snowflake to host our platform and our infrastructure. We're finding a lot of retailers doing that as well, which makes it great for when they wanted to use products like ours because of the whole data share thing. It just becomes really easy. And it really simplifies it'll and data transformation and data sharing. >>Stephane, talk about the startup challenge, the innovation that you guys have seen, and only the second year I can. I can just hear it from the two of you. And I know that the winner is back in India, but tremendous amount of of potential, like to me the last 2.5 days, the flywheel that is snowflake is getting faster and faster and more and more powerful. What are some of the things that excite you about working on the start up challenge and some of the vision going forward that it's driving. >>I think the incredible thing about Snowflake is that we really focus as a company on the data infrastructure and and we're hyper focused on enabling and incubating and encouraging partners to kind of stand on top of a best of breed platform, um, unlocked value across the different, either personas within I T organisations or industries like hypothermia is doing. And so it's it's it's really incredible to see kind of domain knowledge and subject matter expertise, able to kind of plug into best of breed underlying data infrastructure and really divide, drive, drive real meaningful outcomes for for for our customers in the community. Um, it's just been incredible to see. I mean, we just saw three today. Um, there was 250 incredible applications that past the initial. Like, do they check all the boxes and then actually, wow, they just take you to these completely different areas. You never thought that the technology would go and solve. And yet here we are talking about, you know, really interesting use cases that have partners are taking us to two >>150. Did that surprise you? And what was it last year. >>I think it was actually close to close to 2 to 40 to 50 as well, and I think it was above to 50 this year. I think that's the number that is in my head from last year, but I think it's actually above that. But the momentum is, Yeah, it's there and and again, we're gonna be back next year with the full competition, too. So >>awesome. Harry, what is what are some of the things that are next for model bed as it progresses through its early stages? >>You know, one thing I've learned and I think probably everyone at this table has internalised this lesson. Product market fit really is everything for a start up. And so for us, it's We're fortunate to have a set of early design partners who will become our customers, who we work with every day to build features, get their feedback, make sure they love the product, and the most exciting thing that happened to me here this week was one of our early design partner. Customers wanted us to completely rethink how we integrate with gets so that they can use their CI CD workflows their continuous integration that they have in their own get platform, which is advanced. They've built it over many years, and so can they back, all of model, but with their get. And it was it was one of those conversations. I know this is getting a little bit in the weeds, but it was one of those conversations that, as a founder, makes your head explode. If we can have a critical mass of those conversations and get to that product market fit, then the flywheel starts. Then the investment money comes. Then you're hiring a big team and you're off to the races. >>Awesome. Sounds like there's a lot of potential and momentum there. Damon. Last question for you is what's next for hyper affinity. Obviously you've got we talked about the street cred. >>Yeah, what's >>next for the business? >>Well, so yeah, we we've got a lot of exciting times coming up, so we're about to really fully launch our products. So we've been trading for three years with consultancy in retail analytics and data science and actually using our product before it was fully ready to launch. So we have the kind of main launch of our product and we actually starting to onboard some clients now as we speak. Um, I think the climate with regards to trying to find data, science, resources, you know, a problem across the globe. So it really helps companies like ours that allow, you know, allow retailers or whoever is to democratise the use of data science. And perhaps, you know, really help them in this current climate where they're struggling to get world class resource to enable them to do that >>right so critical stuff and take us home with your overall summary of snowflake summit. Fourth annual, nearly 10,000 people here. Huge increase from the last time we were all in person. What's your bumper sticker takeaway from Summit 22 the Startup Challenge? >>Uh, that's a big closing statement for me. It's been just the energy. It's been incredible energy, incredible excitement. I feel the the products that have been unveiled just unlock a tonne, more value and a tonne, more interesting things for companies like the model bit I profanity and all the other startups here. And to go and think about so there's there's just this incredible energy, incredible excitement, both internally, our product and engineering teams, the partners that we have spoke. I've spoken here with the event, the portfolio companies that we've invested in. And so there's there's there's just this. Yeah, incredible momentum and excitement around what we're able to do with data in today's world, powered by underlying platform, like snowflakes. >>Right? And we've heard that energy, I think, through l 30 plus guests we've had on the show since Tuesday and certainly from the two of you as well. Congratulations on being finalist. We wish you the best of luck. You have to come back next year and talk about some of the great things. More great >>things hopefully will be exhibited next year. >>Yeah, that's a good thing to look for. Guys really appreciate your time and your insights. Congratulations on another successful start up challenge. >>Thank you so much >>for Harry, Damon and Stefan. I'm Lisa Martin. You're watching the cubes. Continuing coverage of snowflakes. Summit 22 live from Vegas. Stick around. We'll be right back with a volonte and our final guest of the day. Mhm, mhm

>> From the heart of Silicon Valley, it's the Cube Covering CloudNow 7th Annual Top Women Entrepreneurs in Cloud Innovation Awards. >> Lisa Martin on the ground with the Cube at Facebook Headquarters. We are here for the 7th Annual CloudNow Top Women Entrepreneurs in Cloud Innovation Awards. Welcoming to the Cube for the first time, one of tonight's winners, we have Charu Sharma, the Founder and CEO of Nextplay.ai. Charu, it's great to have you on the Cube. >> Thanks Lisa, I'm really excited to be talking to you. >> And congratulations on your award. Your pedigree, when I looked you up on LinkedIn, I thought wow, where do I even start, the things you've accomplished in such a short time period are pretty impressive. I want to share a few with our guests. You've built, in college, in your spare time, two award-winning start-up companies out of your dorm room before you got napped up by LinkedIn to grow their talent solutions revenue. You've won awards by Grace Hopper. We mention tonight you're here with CloudNow, one of the top women entrepreneurs in cloud innovation. Tell us about, I'd love to get your story of what inspired you to go off and found Nextplay.ai, the inspiration, also the chutzpah to say, "You know what I want to do this, "and I need to go get funding" which is really challenging for women in technical roles to do. Tell us about that. >> Yeah, so tonight I'll be giving a talk next to Sheryl Sandberg and that's nothing short of a miracle for me because I grew up in a family in India where women were not allowed to work, and so growing up it was important for me to have access to economic opportunities and that's how I came to the US for a scholarship, and I'm here today because a lot of mentors serendipitously came in my life and opened doors for me. So, to pay it forward, when I worked at LinkedIn before, I built a mentoring program for women at LinkedIn specifically cuz I think in the workplace especially women, minorities, and introverts suffer in finding a sponsor in helping open doors for you and mentors at your company can specially help you navigate the political landscape and help you grow your career at the company which helps the companies with retention as well. Exactly two years ago I started Nextplay.ai to be able to do this at scale, so today we work with companies from Coca Cola to Lyft to Splunk, and we not only connect their employees internally for mentorship, we also have robust analytics to show the ROI on retention. >> I was looking at some of your stats, I was telling you before we went live, I geek out on stats, that really show that your technology can make significant business impact for, you mention Coca Cola, Lyft, Splunk, etcetera but you obviously saw a gap a few years ago when you got into tech yourself saying not only do we know the numbers and the stats of women in technical roles as being quite low, but one of the things that you saw is one of the things we need to do to help increase those numbers is start internally and mentoring these women. To your point, of not just helping them establish confidence to stay but navigate that political landscape. I think that's a really unique opportunity, when you pitched this idea to these Cs, what was their response? >> Yeah, so mentorship is not an established product category, and on top of that, I inserted gender, race, accent, age, etcetera, and so frankly I got mixed opinions, but I chose to focus on the people who saw the big vision and who cared about the story and the impact something like this could have, so LinkedIn's executives, 500 Start-ups, TechCrunch's former CEO, who's a woman, they're some of the earliest investors who put their bets on us. Today we have shown success stories at every scale, so after six months of working with us employees are 25% more likely to recommend working at their company which actually when you do the math, it's huge. It saves millions of dollars for companies. There was a woman at a company who became the first woman at her company to get promoted while away on mat leave, that's huge. >> Wow, that is huge. >> A new product manager was able to, because of us, connect with somebody who they otherwise wouldn't know, and they were able to help identify a multi-million dollar market opportunity for the company, so there are definitely these case studies which is now creating a movement and now we have over 300 companies who want to work with us. They're on a waiting list. >> A waiting list? >> Mmhhm So we're definitely creating this momentum. >> And we talk about groundswell and momentum, especially at an event like tonight where there's over 300 attendees, 1o winners, one of them being yourself, and there was no advertising to buy tickets because the groundswell is growing so much. The trajectory that Nextplay.ai is on, in two years is pretty steep, you got some exciting things coming up in March, tell us about that. >> Yes, thank you, so when ai play and we sell to enterprise companies to do their mentoring and sponsorship programs internally for talent retention, that said, we started the company to help level the playing field so now that we're relatively stable and are a strong robust team with decent traction, this March we want to give a give back, so we're launching a social impact campaign where around the world we're going to help 100,000 women get mentored. So, if you want to host events at your company, if you want to get involved as a mentor or a mentee, please e-mail me at charu@nextplay.ai. >> And people can also go to the website to find out more information about that? >> Not about that campaign specifically yet, but they'll find my contact information, so it's nextplay.ai. >> And even at your Twitter handle which is probably in the lower third here. >> Yes >> Excellent, so congratulations on the award. The amount of work that you have done in such a short period of time is incredible. I can see it in your attitude and your smile and your energy, congratulations on getting to present to Sheryl Sandberg tonight and for seeing this opportunity in the market to help with that retention from within. What a great opportunity and thanks again. >> Thank you Lisa. >> We want to thank you for watching the Cube. I am Lisa Martin on the ground at Facebook headquarters, thanks for watching. (light electronic music)

>> Live from Bahrain, it's theCUBE, covering AWS Summit, Bahrain. Brought to you by Amazon Web Services. >> Okay, welcome back everyone. We are here live in Bahrain for Amazon's Web Service Summit in the Middle East, really built around the big announcement around their region coming which would open up in Q1 2019. And Amazon full force here and really bringing together a combination of cloud-computing, cloud-native, together with the community and entrepreneurship here. And of course we wanted to save the best for last of the day interview, the entrepreneurs themselves are going to tell a straight scoop what's happening 'cause it's a lot of action here. Alharith Alatawi, who is the CEO of ONEGCC and Zaman Zaman, founder and CEO of Skiplino. Welcome to theCUBE. Thanks for coming on. >> Thank you for having us. >> Thank you for having us. >> So I got to say, I was watching you guys yesterday in your little, and then Bahrain, you're on your best behavior. You didn't chirp too loud, but I can see the energy in the entrepreneurs. You know there's real entrepreneurs in the room when you can see the energy, right? And all the executives were in there, and you've got the Amazon, so you're on your best behavior banging your fists on the door. You guys are doing some good work, so congratulations. >> Thank you very much. >> So what's the real deal? What's it like here? I mean I know it's tough to get access to capital, but the government's bringing some capital to the table, there's momentum, there's opportunities. What's the straight scoop here? >> So for the past three years, when Start-up Bahrain started, there's been tremendous support from the government because they really want to see this, what they're calling the Fourth Industrial Revolution, they want it to happen. They're pushing for it. They're pushing technology start-ups. And we were really blessed to be, I mean to have started just a few months before that, so we're riding an amazing wave. We've been getting a lot of support from Tamkeen, a lot of legislation support from the government, the EDB obviously have been doing a massive job in trying to support us, getting us business. And I mean since we started til today, we've at least doubled or even tripled the amount of clients we have. And there's a lot of attention now to technology start-ups. And I think as a growing sector, Bahrain, we're really reaping the fruits of it. >> And what is your start-up, ONEGCC? Just take a minute to explain what your start-up's doing, how many people you've got going on, the stage of the opportunity. >> So before I founded or co-founded ONEGCC, I was in an investment firm, and one of our investments was in Saudi. It was called a mega-recruitment company. And what we were trying to do is, we had 500,000 work permits. We had to bring a bunch of people and start outsourcing them to companies, but the Ministry of Labor still wanted us to maintain Saudization within these companies that we're working with. And it was a very tough challenge trying to find the right GCC nationals, the right Saudis. I mean 40% of them hold degrees in Humanitarian Islamic Studies, so how do you place all of these when most of the jobs that are being offered are in construction, retail, and other services? So that's when we started ONEGCC. We said you know what, we'll hire people based on skills rather than their job titles or academic background. And that's really where we started ONEGCC. >> So it solves your own problem? >> Exactly. >> You had a little pain there. >> Well today it's our own problem. >> Yeah, now you have a bigger problem. It's called growth. >> (laughs) Yeah, but tomorrow it's going to become a global problem with AI and smart machines wiping out almost maybe 70%. >> So how many people involved in the start-up? What's the stage, would you call it? >> So today we have 18 employees. We're still early stage, but we're growing as well as we can. >> Great. Tell us about your story here. >> Well, mine was a multi-lingual intelligent queue management system. So we realized there was a gap in the market. >> First, explain what a queue management system is, and remember 'queue' is not an American word. That's an English word, or international word. Queue is 'line' they call it in America. >> Okay, let's say line management. >> But we're talking about physical standing in line at the bank. >> Yes. When you go there, you actually take a token and wait. So we realized it was a problem not only in Bahrain. It was a global problem. What we did was, we went to investigate the issue. How it started was, I went to a bank a day before I traveled, and I had to wait for one hour and forty-five minutes just to clear a check. So I found that not acceptable. So what we did was go study the markets. And we realized that was like three or four players controlling the market for the past thirty years. Some people tried to do it cloud-based, but they didn't get it right because they didn't cater to those segments, which is the large B2B clients that need to scale or have a large number of branches. So when we decided to go and build it on the cloud, we realized that there is no performance management on each agent that is live and was streamed. So when we built the reports, we realized that most of it is bottlenecks that can be solved with AI or machine learning. So we incorporated that into Skiplino. Now Skiplino has around 2,500 companies from around the globe in 196 countries. And it's now in 69 languages. >> That's amazing. How many people in your opportunity, working with you? >> Including founders, we're around 15. >> Fifteen, great. Well congratulations, and one of the things I wanted to kind of get here while we're broadcasting around the continent and around cloud is, I live in Silicon Valley, so everyone's got the entrepreneurial bug going on, but you have successes and failures. That's the way it works. You've got to try something and hit the homeruns once in a while, but you got to get a couple base hits. It's really hard. I mean people don't understand how hard it is, right? If they've never done it, it's hard as hell. So, but having the ecosystem support is key, but Start-up Bahrain is doing some good work with EDB. What is the key requirement and what's the need? Where is it working, are you guys seeing on the ground here? Because the community's there and that's a check. That's hard to do. I mean robust entrepreneur community's good, and there's money. So now you've just got to fill in the blank. What is the cloud going to bring you guys? What are you guys hoping for? What do you want to see? >> Of course with the cloud, the best thing that comes with the cloud is scalability, for us. In effect, we're removing the unpremised queue management systems businesses, but the good thing that's happening in Bahrain, and around the GCC too, is ministries and governments are more receptive for additional transformation, and they know that's the only way to keep up. So actually we're the first cloud-based service the Bahraini government used. >> And you're using Amazon now? >> No, (laughs) we're actually a Microsoft concept partner. >> Oh, okay. >> We're the first. >> Are you using Azure? >> Yes. >> Okay, makes sense. Great partner. >> Because we usually deal with banks and telecoms. Microsoft always has a foot in the door there, but we are thinking of having an AWS structure, too. >> It's okay, use it here. It is what it is, a multi-cloud world we're living in. How about your solution? >> So actually we were in the first cohort of C5 Accelerate, which is a program supported by AWS, so we are on AWS, and obviously for us, as a start-up, setting up in the beginning, we have limited resources, and setting up on the cloud just makes it so much easier. >> Yeah, a no-brainer. Not a decision. >> Exactly. >> You got to go to cloud. If you do a start-up and you're not on the cloud, you're spending too much cash. >> (laughs) Exactly. >> It's just the way it is. It's the dumbest thing you should ever do. Unless there's a prototype and you want it next to you, like a puppy and a dog or whatever pet, kind of thing, a security issue. Other than that, there's no reason. >> And it's faster to set up. It's easier for us to reach a wider audience. When we do reach the wider audience- >> What do you think about the show here? What was your walk-away? Obviously you guys are in the middle of the community. We're here for the first time. I was really impressed and I learned a lot, and I made some observations that I didn't expect to have that were really positive. It was a good experience for me, but you guys live it every day. Amazon's in town. There's good dynamics going on. What's your impression? >> Impression on what? >> This show, Amazon's presence, the community coming together. Everyone came here from the gulf states. >> I think one of the main things that we needed to happen in the system is that mind shift. So corporates to start adopting start-up technologies, and for investors who are used to investing in traditional investments and real estate to start actually investing in start-ups. So I think AWS really helped in that mind shift. I think the work that EDB is doing also is helping that mind shift. Now we're seeing more angel investors who are interested in getting into the tech start-up space and more corporates are willing to adopt our technologies, even though they're fairly new. >> Your thoughts on the show? >> It definitely shined a spotlight on Bahrain. Getting Amazon to open AWS in Bahrain is, first of all, we're getting a lot of talent that's going to come in and be trained to set up. So it's a huge- >> It's like you guys are standing around. The metaphor, I'm imagining, you're standing around, you're working on some things, you're hustling, you're scrapping, you're smart. And then all of a sudden, a big resource generator just pops down and says, hey entrepreneurs, I was built for you. >> Yeah. >> And you're there and now you're present at creation. And when you're present at creation of a movement that has this much growth because let's face it, this is going to be growth, and you guys are going to be the leaders. >> Yeah. >> Hopefully. >> So you got to pay it forward. You have big responsibilities. >> Hopefully. >> And you going to make some money along the way, too. I mean, you know the old expression. >> No pressure, huh? (laughs) >> You know the expression, "Hang around the barber shop, "you'll get a haircut." So this is, "Hang around the cloud, "you're going to create some value." So you've got to capture it. So this is the dynamic that I see as an entrepreneur. I was like, damn, if I lived here, I'd be setting up shop. I'd have five companies going on. I'd be telling all my friends to come on in. >> Because you're in the ground floor right now. >> You're present at creation. We're going to start covering you guys, and do some work with you guys. I'm already convinced. >> It's a big wave, and we're happy to be riding it. >> We're going to collaborate with you guys. I think it's a really unique thing. I mean at this scale, it's unprecedented. I mean this is Amazon. I mean in the U.S. everyone is jockeying for where Amazon's next headquarters is going to be, and literally, people are freaking out, like, come to my state. Because they know, with it come jobs, services. It's like putting up a sports stadium, and all of a sudden there's all these new things around it, right? >> Sure. >> It's going on, >> Exactly. >> So this is going to be a big opportunity. >> It's huge. >> For start-ups. So you guys are going to be reaping the rewards. >> Hopefully. >> You hungry? >> We are. (all laughing) >> You have no idea. >> I'm from California. In America, it's like we call it the wave. Get your surfboard, get out there. A lot of sets coming in. So congratulations. Thanks for sharing. >> Thank you very much. >> Thank you for coming to Bahrain. It's a pleasure having you. >> Looking forward to working more with you guys. >> Definitely a pleasure. >> Thank you, John. >> Okay, we're here in Bahrain. That's a wrap. We're wrapping up with the founders and CEOs. This is the entrepreneurial action here and the signs are all pointing towards growth. Amazon Web Service is going to bring cultural revolution, economic, society, people, all going to be coming here, for the region, not just Bahrain, but all around the region. I'm John Furrier with theCUBE. Thanks for watching.

>> Live from Toronto, Canada, it's theCUBE. Covering Blockchain Futurist Conference 2018. Brought to you by theCUBE. >> Hello, everyone. Welcome back. This is theCUBE's live coverage here in Toronto, for the Untraceable event. Here in the industry, it's called Blockchain Futurist. It's where all the industry elite are getting together here in Canada, to talk about the future of blockchain, crypto, and everything. It's theCUBE's specific coverage. As we continue 2018, kicking off event coverage with our CUBE brand. But right now we've got two great guests from Start-up, and they're called Quantum EXchange and Bank, QuantEXchange. Manie Eagar, Executive Chairman. And, John Willock, who's the CEO. Guys, welcome to theCUBE. >> Thank you. >> Thank you. >> So you guys got some hard news to talk about. >> We do. >> But, you guys are doing an exchange model, bringing something really cool to the market. >> Yep. >> Which, we need to kind of get this figured out. Take a minute to explain what you guys are doing, the problem you're solving, and then we'll get to the news. Absolutely. So, I think the lot of people are doing exchanges. You see them coming all the time, and most of them don't really have any specific differentiation or value add. We are not like that at all. We have spent our careers as part of most of the team, in traditional financial services. And, we're coming from the securities exchange business to bring the learnings from NASDAQ, the learnings from the like of that sort to the Crypto Exchange space. And, to be able to facilitate not only a regulated exchange venue, but also one that is institutional grade in terms of tools and the client experience, as well as the trust factor with the platform itself. So, that's really what we're trying to get done with the Quantum Exchange that we're building right now. >> And how old's the company? How long you been around? When do you guys start? How funded are you? What's happening there? >> So, I'll refrain from discussing funding at this point. But, I will say we've started this year. I left the Toronto Stock Exchange specifically to pursue this in conjunction with Manny. And, we've been batting this idea around for the last couple of years. And, the market reached the stage in maturity and size, that we said now is the time to get going and do it. And, so far, fanfare has been fantastic. Reactions from people in the Crypto Ecosystem, people in the Securities Ecosystem, has been equally positive. >> Yeah. >> There's a strong desire to see something like this come to market. And, we're very excited to be able to launch. >> Before we get to the news, Manie, I want to ask you a question. One of the things that we've seen is two types of behavior. The other guy's got to lose for me to win, and then, or both parties can win. We're seeing trends where people are taking a posture against regulations. Oh, they're evil, they're causing all the problems. They kind of don't know what they're doing, kind of, they're evolving. Maturity levels are different based on countries. But, where the success is happening, like Gabriel with Bit. Okay, there's collaboration. Because the regulars actually want to do a good job most cases. They just can't get there fast enough. This is the new model. This is what people are looking at. This is the kind of solution ... >> Absolutely. >> A bridge between industry, and the slow but, yet want to change regulators. Your thoughts? >> Very, very good point. The good news is we're all talking to each other. I think there's dialogue at the moment, but it's not maybe as open as it should be. Because it's all day one. What I bring to the community, and have for the ... since I got engaged in launching the first Bitcoin ATM in the world, in Vancouver, part of that team. And, I think Anthony Bold from Bit is for an alliance. And, blockchain association in the block forum, which we'll announce tomorrow. 'Cause I worked for Blockhouse. I worked for Vodafone. I was involved in the Empasa project. And, I can see and understand what does it take for people to start using technologies. I think what everybody is hoping for is this golden moment. Like when the first iPhone arrived on the scene. >> Yeah. >> People queued around the block through the night to get ahold of that first device. We haven't had that moment yet. For Blockchain and Crypto. We've had the wild enthusiasm, which is all speculation as far as most of us are concerned. But, maturity is coming, these technology if Blockchain and Cryptocurrencies want to succeed, there needs to be another converging technology with what's already out there. The internet, your financial ecosystem, and so forth. >> Yep. >> In my view, there'll be a coming together. There'll be new models altogether. Incumbents will have to pick up the pace in terms of how they go about it. >> Yeah. >> But, we see the opportunity for ourselves, for Quantex. And the industry as a whole is where the convergence takes place, the dialogue becomes more mature, and open, and transparent. Regulators become aligned. At the moment, we hear of a lot of jurisdictions announcing this, announcing that. But, when you start investigating or assessing, it's different flavors, different cultures, different economies. >> Yeah. >> There's the Commonwealth Block. There's the North American Block. There's the Asian Block. Europe is a whole different ball of wax. >> Yeah, I agree with you and I just want to ... >> So, this is where it gets interesting . That's where we come into the boat. >> Absolutely. >> Well, I agree with you, I just want to make a point. During the dotcom bubble, during that internet wave, there was some over-speculation. But at the end of the day, the forcing function of reality was the growth of the online users was growing every day. >> Yeah, yeah. >> And, the demand and the commerce dollars were still real. Now, certainly there was an exuberance. Irrational, in some cases. But, it all ended up happening. I think here in this market, the forcing function is the reality that there's demand, and there's money, and there's impact. >> There is now, we now know that. >> This is coming. It's not like Doomsday. Well, it was fake. No, not really. >> No, we are still in the first inning of seeing what is actually coming out of all of this. I think last year's price speculation runoff obviously was set to decline at some point. But, there has been a long series of momentum coming out of that, where people have realized that this is something much more important and significant than what it looked like three years ago, perhaps. And, a lot of that talent is now coming to this space. Bringing, the capital, bringing the know-how, us included, to deliver something for the next generation of platform, tools, and ecosystem to really grow this massively. And, bring it much more to the mainstream. >> And, I think the idea of aligning with regulars, help them move faster. You mentioned adopt technology, but, still in the phase of deploying operational infrastructure. You mentioned some of the things, the projects you've worked on. Vodafone, that's cellular, that's towers, that's infrastructure. So, I think we're still in this hybrid model of, in parallel, capital formation, building companies, and then, just, we got to get the roads built. >> Well, and understand the posture that a lot of people are taking on. We need to decentralize, we need to open this thing up. But, at the end of the day, the consumer votes. You and I know if we don't have viewers, we don't have a channel. If we don't have users, people actually using the technology, not only investing, but actually using it. It aint going to happen. Decentralize, centralize to a hybrid. And, that's the part that we need to open ourselves. >> Let me ask you guys a question before we get to the news. This exciting news you get to share. How do you standardize something? Because, one common thread of all these major deflection points, at least, with the major cycles I've lived through, has been standards. >> Absolutely. But, it's not going to be your grandfather's standards.So, TCPIP was different. The OSI model is a different generation. The internet was different. Web social is different. What may happen may be different. So, but, standards play an important role. But, no one has clear visibility yet what will be standardized, what should be standardized. Do you guys have any thoughts on that? >> Well last year John comes in, and he's learned the world of standards at NASDAQ, and TMX, and elsewhere. >> That's true. >> Now, we need to bring it to this world. >> How do we scale operational lead to get a cohesive exchange that can scale and demure value? Where do the standards focus need to be? What should the emphasis ... where does the light get shined on, and where's the energy go to? >> I think, you know, you want to look at standards, think about something like this ETF debate that's been going on. Huge speculation about whether or not that's coming. I think a lot of people who are looking at that ETF debate, specifically, don't actually understand some of the economics and the mechanisms behind the scenes. So, for example, what is a fork? When you think about traditional securities, you got corporate actions like a stock split or dividend. A fork is an entirely different concept with entirely different results. Those are the sorts of things that need to be discussed, standardized, and brought to an industry cohesion to be able to successfully deal with some of these events as the market progresses. And, to bring some normalcy to some of this as well, especially if you want to bring institutions to the plate. And, I think that comes to one of the other initiatives that we're working on ... Which is the industry body, called block forum, which we're going to be discussing in a moment. That can really help be that joining voice >> Hold on, hold on a second. This is the news. >> behind everything. >> This is the news. You guys are announcing, let's get to the news. >> Okay. >> You're announcing a couple things. Start with what you were just talking about. You guys are announcing a forum. Can you explain? >> Correct, correct. So, we're launching, officially, to the remainder of the crowd here tomorrow, block forum. Which is an industry association that will be especially behind driving adult thinking behind all this, putting regulation into place, discussing commonalities around policy, around how to standardize, and how to really make all of this interoperable. And, I think that's the key word. If you have individual pillars of, islands of activity, that's not going to be the same as having a cohesive global solution. And, that's what we really want to drive. >> An exchange solution? >> Well, in our case in Quantex, absolutely. But, an exchange in the services we can offer is one part of the whole puzzle. There's a whole series of inter-connected affairs that have to work together. And, that's what block forum is going to drive, is this assembly of different connected parties who are all working for the greater benefit of the Prio ecosystem. >> Who is going to be involved in the forum? Who is the stakeholders? Who can join? Is it a membership? Is it a consortium? >> It is a membership. There will actually be a token that will have very interesting membership related tokenomics attached that we can disclose at a later date. And, that economic alignment between the parties who are staking effectively their interests in the certain topics that they want back or the certain efforts will be a completely unique model compared to what we've seen in the industry today, where generally speaking, it is a committee who drives something on behalf of members. This is really fundamental for all members, democratically from individuals all the way up to institutions, to be able to participate and voice their interests. >> So you will see governments as members. >> Yes, yes, absolutely. >> You will see industry leading stakeholders and practitioners. The whole idea of the body is not to create new policy or reinvent the wheel. We're getting policy, we're receiving regulation. So, how do we put this in practice? Where are the success stories? How can we show the industry as a whole? Governments across jurisdictions to align around their spacing. >> So a melting pot of people to get a conversation going. >> Right. >> To start shaping an agenda or just start talking? >> So, we're talking to governments at premier and cabinet level. We're talking to boardrooms of banks. We're talking to think of your top 40 leaders in blockchain and crypto. We're talking to all of them and engaging with them. >> And, what's the vision of the outcome that you can envision in your mind? What is that outcome for this group? What do you hope to accomplish? What is the end result, if you can kind of assume things go in a good way, what happens? >> I think this is a unifying voice for leadership in the industry to discuss what the outside, outside of crypto world that is, and really bridge that gap between those who are within and understand natively and those who need to be brought in to be able to interact with this and really grow all of this industry. >> And, promote the role models. >> And, exactly that. Exactly that. To bring the best to the front. And, really show that there is actually serious opportunity, serious business. This is not just a series of hackers or whatever nefarious activity these people casually may think the block chain industry is. This is something very serious and very real. And, we want to be a voice for that. >> Awesome. And, you guys had some other news on the fundraising front. >> Industry first. >> You guys are raising some money, you're doing a private sale, and new gear as much as you can, it's pretty invested, so, I think you can promote it. >> I will say with a caveat as you say, it's pertinent to investors only, and we have not completed our discussions with our legal counsel. Having said that, we are taking the model of a traditional securities exchange membership, seats on an exchange, which can be purchased, which have rights attached, which are a titled asset separately from equity of the exchange, for example, separately from a utility token as you would have seen with many other exchanges. This is something that we feel is a very unique model. We are very excited to be able to launch this, and come to market first with this concept. Which again, is blending the best of the old and new. We're taking tokenization, we're taking a concept that have existed in the previous markets and previous worlds, and blending them together for something that is somewhat unique and wholly new in this application. >> Well, I hope you guys raise a lot of money. We need more harmony between regulating and government entities to bring the whole world together. And, certainly from the money-making standpoint, what the liquidity and exchanges can provide as the world starts to understand where the groove swing is and where those swim lanes are, especially with security tokens. >> You bet, you bet. And, the success is going to be measured in ability to scale sustainably. And, we want to demonstrate that with this model. >> We need some leadership there. So, good luck. Best of luck. >> Thank you very much. >> Thank you, thank you. >> We are here live in Toronto, Canada for the Blockchain Futurists Conference. I'm John Furrier with theCUBE. Describing the single millers, talking to the most important people, the hottest stories. Here are the most colorful people, people traveling around the world sharing that insights with you. Stay with us for more day coverage here. The first day of two day coverage of Blockchain Futurists. We'll be right back after this short break.

>> Announcer: From the Corinium Chief Analytics Officer Conference, Spring, San Francisco, it's theCUBE. >> Hey, welcome back everybody, Jeff Frick here with theCUBE. We're at the Corinium Chief Analytics Officer Symposium or Summit in San Francisco at the Parc 55 Hotel. We came up here last year. It's a really small event, very intimate, but a lot of practitioners sharing best practices and we're excited to have a really data-driven company represented, see Scott Zoldi, Chief Analytics Officer from FICO, Scott, great to see you. >> It's great to be here, thanks Jim. >> Absolutely. So, before we jump into it, I was just kind of curious. One of the things that comes up all the time, when we do Chief Data Officer and there's this whole structuring of how do people integrate data organizationally? Does it report to the CIO, the CEO? So, how have you guys done it, where do you report into in the FICO? >> So at FICO, when we work with data, it's generally going up through our CIO, but as part of that we have both the Chief Analytics Officer and the Chief Technology Officer that are also part of that responsibility of ensuring that we organize the data correctly, we have the proper governance in place, right, and the proper sort of concerns around privacy and security in place. >> Right, so you guys have been in the data business forever, I mean, data is your business, so when you hear all this talk about digital transformation and becoming more data-driven as a company, how does that impact a company like FICO? You guys have been doing this forever. What kind of opportunities are there to take, kind of, analytics to the next level? >> For us, I think it's really exciting. So, you're right, we've been at it for 60 years, right? And analytics is at the core of our business, and operationalizing out the data and around bringing better analytics into play. And now there's this new term, you know, Operationalizing Analytics. And so as we look at digital, we look at all the different types of data that are available to decisions and all the computation power that we have available today, it's really exciting now, to see the types of decisions that can be made with all the data and different types of analytics that are available today. >> Right, so what are some of those nuanced decisions? 'Cause, you know, from the outside world looking in, we see, kind of binary decisions, you know either I get approved for the card or not, or I get the unfortunate, you know you card didn't get through, we had a fraud event, I got to call and tell them please turn my card back on. Seems very binary, so as you get beyond the really simple binary, what are some of the things that you guys have been able to do with the business, having a much more obviously nuanced and rich set of data from which to work? >> So one of the things that we focus on is really around having a profile of each and every customer so we can make a better behavioral decision. So we're trying to understand behavior, ultimately, and that behavior can be manifested in terms of making a fraud decision, or a credit decision. But it's really around personalized analytics, essentially like an analytics of one, that allows us to understand that customer very, very well to make a decision around, what is the next sort of opportunity from a business perspective, a retention perspective, or improving that customer experience. Right, and then how much is it is your driving, could you talk about the operationalizing this? So there's operationalizing it inside the computers and the machines that are making judgements, and scoring things, and passing out decisions, versus more the human factor, the human touch. How do you divide which goes where? And how do you prioritize so that more people get more data from which to work with and make decisions, versus just the ones that are driven inside of an algorithm, inside of a machine? >> Yeah, it's a great point, because a lot of times organizations want to apply analytics to the data they have, but they haven't given a thought to the entire operization of that. So we generally look at it in four parts. One is around data, what is the data we need to make a decision, 'cause decisions always come first, business decisions. Where is that data, how do we gather it and then make it available? Next stage, what are the analytics that we want to apply? And that involves the time that we need to make a decision and how to make that decision over time. And then comes the people part, right? What is the process to work with that score, record the use of, let's say, an analytic, what was the outcome, was it more positive or based on using that analytic, right? And incorporating that back to make a change to the business over time, make actions over time in terms of improving that process, and that's a continual sort of process that you have to have when you operationalize analytics. Otherwise, this could be a one-off sort of analytic adventure, but not part of the core business. >> Right, and you don't want that. Now what about the other data, you know third-party data that you've brought in that isn't kind of part your guys' core? Obviously you have a huge corpus of your own internal data and through your partner financial institutions, but have you started to pull in more kind of third-party data, social data, other types of things to help you build that behavioral model? >> It kind of depends on the business that we're in and the region that we're in. Some regions, for example, outside the United States they're taking much more advantage of social data and social media, and even mobile data to make, let's say, credit decisions. But we generally are finding that most organizations aren't even looking that up, they already have it housed appropriately and to the maximum extent, and so that's usually where our focus is. Right, so to shift gears about the inside, and there's an interesting term, explainable AI, I've never heard that phrase, so what exactly, when you guys talk about explainable AI, what does that mean? Yeah, so machine-learning is kind of a very, very hot topic today and it's one that is focused on development of machine-learning models that learn relationships in data. And it means that you can leverage algorithms to make decisions based on collecting all this information. Now, the challenge is that these algorithms are much more intelligent than a human being, they're superhuman, but generally they're very difficult to understand how they made the decision, and how they came up with a score. So, explainable AI is around deconstructing and analyzing that model so we can provide examples and reasons for why the model scored the way it did. And that's actually paramount, because today we need to provide explanations as part of regulatory concerns around the use of these models, and so it's a very core part of that fact that as we operationalize analytics, and we use things like machine-learning and artificial intelligence, that explainability, the ability to say why did this model score me this way, is at front and center so we can have that dialogue with a customer and they can understand the reasons, and maybe improve the outcome in the future. >> Right, and was that driven primarily by regulations or because it just makes sense to be able to pull back the onion? On the other hand, as you said, the way machines learn and the way machines operate is very different than the way humans calculate, so maybe, I don't know if there's just some stuff in there that's just not going to make sense to a person. So how do you kind of square that circle? >> So, for us our journey to explainable AI started in the early 90s, so it's always been core to our business because, as you say, it makes common sense that you need to be able to explain that score, and if you're going to have a conversation with the customer. You know, since that time, machine-learning's become much more mainstream. There's over 2,000 start-up companies today all trying to apply machine-learning and AI. >> Right. >> And that's where regulation is coming in, because in the early days we used explainable AI to make sure we understood what the model did, how to explain it to our governance teams, how to explain it to our customers, and the customers explain it to their clients, right? Today, it's around having regulation to make sure that machine-learning and artificial intelligence is used responsibly in business. >> Yeah, it's pretty amazing, and that's why I think we hear so much about augmented intelligence as opposed to artificial intelligence, there's nothing artificial about it. It's very different, but it really is trying to add to, you know, provide a little bit more data, a little bit more structure, more context to people that are trying to make decisions. >> And that's critically important because, you know, very often, the AI or machine-learning will make a decision differently than we will, so it can add some level of insight to us, but we always need that human factor in there to kind of validate the reasons, the explanations, and then make sure that we have that kind of human judgment that's running alongside. >> Right, right. So I can't believe I'm going to sit here and say that it's, whatever it is, May 15th today, the year's almost halfway over. But what are some of your priorities for the balance of the year, what are some of the things you are working on as you look forward? Obviously, FICO's a big data-driven company, you guys have a ton of data, you're in a ton of transactions so you've got kind of a front edge of this whole process. What are you looking at, what are some of your short-term priorities, mid-term priorities, as you move through the balance of the year and into next year? >> So number one is around explainable AI, right? And really helping organizations get that ability to explain their models. We're also focused very much around bringing more of the unsupervised analytic technologies to the market. So, very often when you build a model, you have a set of data and a set of outcomes, and you train that model, and you have a model that makes prediction. But more and more, we have parts of our businesses today that where unsupervised analytic models are much more important, in areas like-- >> What does that mean, unsupervised analytics models? >> So, essentially what it means is we're trying to look for patterns that are not normal, unlike any other customers. So if you think about a money launderer, there's going to be very few people that will behave like a money launderer, or an insider, or something along those lines. And so, by building really, really good models of predicting normal behavior any deviation or a mis-prediction from that model could point to something that's very abnormal, and something that should be investigated. And very often, we use those in areas of cyber-security crimes, blatant money laundering, insider fraud, in areas like that where you're not going to have a lot of outcome data, of data to train on, but you need to still make the decisions. >> Wow. Which is really hard for a computer, right? That's the opposite of the types of problems that they like. They like a lot of, a lot of, of revs. >> Correct, so that's why the focus is on understanding good behavior really, really well. And anything different than what it thinks is good could be potentially valuable. >> Alright, Scott, well keep track of all of our scores, we all depend on it. (laughs) >> Scott: We all do. >> Thanks for taking a few minutes out of your day. >> Scott: Appreciate it. >> Alright, he's Scott, I'm Jeff, you are watching theCUBE from San Francisco. Thanks for watching. (upbeat electronic music)

>> Narrator: From the Silicon Angle Media office, in Boston, Massachusets. It's The Cube. Now here's you host, Stu Miniman. >> Hi, I'm Stu Miniman and we're coming to you from the Boston area studio here of The Cube. Excited to talk about some of my favorite topics. Talking about the culture, innovation, and really transformation in what's happening in data center. Digital transformation is on everybody's mind. Specifically happy to welcome Mike Grandinetti who is the Chief Marketing and Corporate Strategy Officer with Reduxio. Mike, thanks so much for joining us. >> Stu, thank you so much for having me. Great to be out here with you today. >> Alright, so you're a local guy? >> Mike: Yeah. >> We're glad that you could join us here. Before we jump into the company tells a little about your background, what you worked on, what brought you to Reduxio. >> In a nutshell I guess my background is all about innovation. I've sort of eat, breathe and slept innovation for the last 25 years of my career. So I started off as an engineer in Silicon Valley with HP back when Bill and Dave were still around. At a time when it was America's most admired company. Was a remarkable sort of introduction to what is possible. Went back, got my MBA, did several years at McKinzie doing corporate strategy consulting. Mostly around innovation related projects. And then I moved up here to Boston to be a part of the first of what is now eight consecutive enterprise venture capital backed start ups. And I've been lucky enough that two of those went public on the NASDAQ. The prior seven have all been acquired by companies like AT&T and Oracle. And now Reduxio is my eighth start up. We're really having a great time building this business. >> Great, we're definitely going to big into some of the innovations of Redux I O. >> Yes. >> So the name kind of tells itself. We've seen a few companies with the I O at the end. We've talked so much that when we've talked about kind of 2018 data is at the center of everything. Really what is driving business. So for an audience that hasn't run across Reduxio kind of give us the why and the what. >> Yeah, and so to your point, data's driving everything. Mark Andressen famously said software's eating the world. I think if we were to update that it's data is eating the world. And so I think you and I have had this discussion off camera. Whether it's fair or not, I think it's true. And it needs to be stated that the amount of innovation that has occurred in the storage industry over the last 20 years, has been disappointing at best. The solutions that have evolved have evolved in an extremely fragmented way. They are over, way too complex. They're way too expensive. And because it's a collection of piece parts, you've got to manage multiple screens, multiple learning curves. And a lot of things fall through the cracks. So when you go and look at some of the research data from a wide range of analysts, what you hear from them is there's this extraordinary lack of confidence that even though I've spend a ton of money, invested a lot of staff time and attention to building out this infrastructure, very lacking in confidence that I'm actually going to get that data back when I need it. So it's the old adage, it's time to fix it. So this is exactly what the founders of Reduxio saw. They were looking at this evolutionary path and saying people are just making it worse. So they did what many people would condsider to be radical. They threw out the entire playbook of what storage architecture has been and they took a clean sheet of paper, design centric approach. What are the use cases? Where are we in the world with regard to technology? And how do we design and experience for storage admin or BD admin or a person in the dev center that doesn't require a PhD in storage? And so that's kind of what the premise was. >> Yeah, so many things there that there are to dig into. Absolutely. I live, I worked for one of the storage companies for a decade. Absolutely complexity is how we would describe it. And what companies are looking for today, is they need simplicity. They need to focus on the business. Turing dials and worrying about do I have enough capacity? Do I have enough performance? Do I have enough of those things, is not what drives the business. >> Mike: Exactly. >> They need to focus on their applications. The bit flip we saw in big data, and we can argue whether or not big data was hype or whatever we had there, but it was oh my gosh I'm getting all this data to oh my gosh I have all of this data and therefore I can do more things, I can find more value. >> Mike: Absolutely. >> I worry a little bit when I hear things like oh, the storage admin. >> Yeah. >> The storage admin's job before was how to I triage and kind of deal with those issues? Many solutions now you look at the wave of hyper convergence. Let's push that to a cloud architect or the virtualization layer. How do we start with a clean slate and get out of the storage business and get into the data business? >> Mike: I love it. So I'm going to bring you back ten years to one of the most remarkable product introductions that has ever been conducted on this planet. It was the introduction of the iPhone. And if you recall in those first five minutes that Steve Jobs took the stage in a way that only Steve Jobs could. He went onto tease the audience by saying that we are going to be introducing three products today. And then over the next minute or two became clear that it wasn't three products, it was one very innovative product at the time. The iPhone. What they basically did is they integrated these three previously disparate pieces of technology. Certainly the mobile phone but also a music player and an internet navigator. Behind this gorgeous revolutionary user interface. So what we've tried to do is take a page out of the Job's iPhone innovation. We're integrating. And Forrester Research has written an incredible report about this and others, IDC and others, have consistently supported it. Chris Malore from the Register has written about this at length as well. Reduxio is integrating primary and secondary storage along with built in data protection. So those previously siloed capabilities are now one. We're also, like Jobs did, when you looked at the old style smart phone, the BlackBerry and the Trio and the- ya know all of those things that had all of those keyboards, is we've created a user interface using game designers so when our customers go home at night and they log into Reduxio, their little kids will say, hey dad what game are you playing? And dad will say, I'm not playing a game. I'm actually working on Reduxio. And so what that's done for us I think is it's allowed us to be able to drop a Reduxio system into any number of use cases with someone who may not have the luxury of being deep in storage. And literally get time to value that they put production workloads on the system that day. >> It's interesting, another piece that I'll draw from your analogy is when you talk about how did Apple take all of those pieces. And it's kind of certain technologies moving along. But there's one specific technology that really helped drive that adoption. And it's Flash. >> Mike: Yes. >> And the consumer adoption of Flash ten years ago drove the wave that we've seen in enterprise storage. >> Right. >> So help connect the dots for us, because we look at- I remember a decade ago primary to secondary storage oh I'll give you a big eleven refrigerator size cabinet and you can do both. >> Mike: Right, sure. >> But I put expensive stuff here, I put cheap stuff here. I used the software to put it together. I'm assuming I can consolidate it down and I think Flash has something to do with it. >> Yeah, and so it's a multi tiered system. The array itself. It's an appliance. And obviously most of the value is in the software. There's a management platform that allows us to peer deep into the data. But everything is time stamped and indexed. So we have a global view of the data. And you can tier it, the most hot data very mission critical, business app data, goes to Flash. Secondary data can go to spinning disk or now we can archive to the cloud. Specifically any S3 target, Amazon or any S3 target. But what I think makes it very relevant is we've illuminated the notion of snapshotting. So we've built something that we call the time OS or the time operating system. And it's a time machine for your data. What happens is rather than incur that incredible burden of having to schedule snapshots, that only requires you at another incredible heroic effort to bring the data back, you have continuous data protection. I can go back at any point in time and literally with a very graphical screen point and say I want to bring data back from two seconds ago. And one of our best examples of that is we had a customer who had been attacked, has suffered from a ransomware attack. They went down for a week, they went down hard for a week. And they came and found Reduxio. They got attacked again. And the second time around they lost only two minutes of data. And the recovery time was 20 minutes. So this is what we enable you to do. By being able to give you access to wherever you're data may be, anywhere in the world, you can- we're approaching near zero RPO and RTO. >> Mike, there's been a number of companies that come and said data protection's been broken. We've been hearing that for a while. I think right down the road from us, like Tiffeo, company that looked at data management. Companies like Cohesity and Rubric, have quite a bit of buzz. Give us a little compare, contrast how Redxio looks at it verses some of those other- >> Yeah, and I'd say again, for anybody watching I think the Forrester Research Report outlines Reduxio, Cohesity and Rubric, right? And of course Cohesity and Rubric are doing an extraordinary job. They're scaling rapidly. They've got world class in Silicon Valley money in the company. They've got a world class client base. I think the primary difference is that we are bringing that third component. We're integrating primary storage along with secondary storage in data protection. Both of them are focusing just on the secondary and the data protection. We take issue architecturally with the fact that you've got to make additional copies. We take issue with the fact that the way they're approaching this actually they're in some ways exacerbating the problem because they're creating more data. But at the same time, they're also, for a given amount of capability two to three times the cost. So what we're hearing from a lot of our customers and our vars that sell both is they're walking into a lot of more, let's call them price sensitive accounts. Where they don't believe that the incremental value of what Cohesity or Rubric is offering is easily justifiable. There's going to be some pretty extreme use cases to justify a $300,000 initial investment as you go into the data center. >> Another piece, when I talk to companies today, one of the biggest challenges they have is really figuring out what their strategy is and how that fits. You talked about tiering and how the cloud fits into it, but how does Reduxio fit in that overall cloud strategy for companies today? >> Again, it's very early in our product evolution and so with version three which we announced back in late June, we allow companies to archive to the cloud. But do instantaneous recovery from the cloud. So we have two capabilities. One is called no migrate. So there's no longer a need to migrate data. So you were at the Amazon invent show and you saw the snowmobile get rolled out. And the reason that Amazon rolled that snowmobile and at first I thought it was a joke, is because it takes an incredible amount of time and effort to move data from one data center to the next. Reduxio has this no migrate capability where if I need to move data from that data center, I set that data in motion. And I don't know if you're a Trekkie or not, but you remember the teleporter? In version three we've created a teleporter. You can move that data from the cloud and although it may take a long time for that data to actually get to its target, you can start working on that app as if that data had already been migrated. When we run usability tests, and I remember one of them very specifically. And I know that you speak a little bit of Hebrew. I speak zero Hebrew. But I can remember watching one of our Israeli customers seeing this happen and this visceral reaction, like oh my god, I can't believe they did that. So we're trying to bring that end to end ease of use experience to managing and protecting your data wherever it may be. Bringing it back with almost zero RPOs, zero RTO. >> Mike, one of the questions, I've been talking to a number of CMOs lately, and just you've worked for a number of start ups. Today, digital transformations on the mind, what's the changing role of the CMO today? What have you seen the last five to ten years that's different and exciting? >> It's a great question. And I'd say that, and again, I did my first start up in 1991. So I can't begin to tell you how much high tech marketing has changed. But everything changed with social, digital and inbound marketing. It used to be that the sales team was responsible for filling the funnel. It is very clear that is an incredibly non scalable unproductive effort. And so we now are all about acquiring high quality prospects. We're a hub spot shop. We're a highly automated shop. And we are very biased toward digital and social. Is doesn't mean that we're not going to events and things like that but we feel that the way that we're going to scale this business, especially when we compete against big guys like Dell EMC and HP and others, there's no way that we can go person to person. So I'm not a very big fan of cold calling. I'm not a very big fan of going to trade shows. And collecting business cards in fish bowls and giving away tee shirts. We really believe that our customers are too busy, the know what they need when they need it. They've built a fortress around themselves. They're getting hammered. Just like I'm a CMO. And I must get 150 LinkedIn inmails and emails a day telling me about the next great lead management service. I can't even imagine what our customers are putting up with. So our job is to find relevant personas with highly relevant content at the moment that that is relevant to them. And there's many ways to do that, but this is really what we have to do with the data. >> So, Mike, at the beginning of the conversation we talked a little bit about innovation. >> Mike: Yes. >> Those of us that have been in a while, they're too many peers of mine that I think if you say the word innovation they roll their eyes. You have the great opportunity, you're working with master students around the globe, talk to us the people coming out of those programs. What does innovation mean today? What are they looking for, from a career standpoint? >> It's a great question. I think you and I could probably go for the next three hours on this subject so we'll have to be careful. >> We'll make sure to post on the website the expanded audio. >> Okay, but I mean innovation is such an overused word. And most companies really can't spell it and they can't spell it because their culture doesn't allow for it. So first and foremost, I think any innovative company or any innovative team starts with a culture that is all about trying to manage at the bleeding edge of best practices and really understand what's current. I have the blessing of being both the Chief Marketing and Corporate Strategy Officer of Reduxio and a global professor of innovation entrepreneurship at the Hult International School of Business. I teach between 1,200 and 1,500 students a year. I teach them courses in entrepreneurship, in innovation, in digital marketing. And I run hackathons on campus. We do a lot of events that give me an insight into who's passionate about innovation. And it's one thing to think innovation is interesting, because you can get a good job. It's another thing to actually have the comfort level of living in a world of ambiguity and high velocity. So a lot of it is, I'm looking for students that really want to sort of push the envelope. And they exhibit that in the classroom, they exhibit that in hackathons. They exhibit that in some of the internships that we take. They exhibit it by getting certified on HubSpot. Without me telling them to. Getting certified on Idio without me telling them to. Going to conferences. Learning. And then me learning from them. Because nobody can know everything. It's just so much new stuff going on right now. I've now got a team of 11 people and nine of them were my former students. I had a chance to observe them in action over 18 months and they're world class. And they have that innovation gene in their DNA. We're really at a point where I'm learning from them everyday. It's a very symbiotic relationship. >> Mike, for closing comments, I want to give you the opportunity, people find out more about Reduxio. What should we be looking for in 2018? >> Yeah, and so again, the one thing is will say is we are now at 200 distinct customers. We have in a very short period of time, and you know, when you sell into the data center people don't have a real sense of humor. It's pretty important that the stuff works. So the first thing I would say is we've gotten to that point now where we've got a lot of very significant customer references across websites and a lot of peer review sites. So we're now, so 2018 is building on that foundation. I think what you're going to see from us is couple of very radically innovative new projects. One a software only project. That will allow us to drive an inflection point in growth. By making available some of our core capabilities to anybody. Whether they own a Reduxio system or not. We really want to go big now. We've validated the architecture. We've got some great early indications from the market that this stuff works as advertised. Our customers are telling us we're simplifying their lives, we're making them more productive. And 2018 is about to really kick this thing into high gear. >> Stu: Mike Grandinetti, pleasure chatting with you. Thanks so much for sharing. And thank you for watching The Cube. >> Mike: Great. (upbeat music)