(introductory riff) >> Hey everyone. Welcome to theCUBE's presentation of the "AWS Startup Showcase." This is Season 2, Episode 3 of our ongoing series that features great partners in the massive AWS partner ecosystem. This series is focused on, "MarTech, Emerging Cloud-Scale Customer Experiences." I'm Lisa Martin, and I've got two guests here with me to talk about this. Please welcome Daisy Urfer, Cloud Alliance Sales Director at Algolia, and Jason Lang, the Head of Product for Apply Digital. These folks are here to talk with us today about how Algolia's Search and Discovery enables customers to create dynamic realtime user experiences for those oh so demanding customers. Daisy and Jason, it's great to have you on the program. >> Great to be here. >> Thanks for having us. >> Daisy, we're going to go ahead and start with you. Give the audience an overview of Algolia, what you guys do, when you were founded, what some of the gaps were in the market that your founders saw and fixed? >> Sure. It's actually a really fun story. We were founded in 2012. We are an API first SaaS solution for Search and Discovery, but our founders actually started off with a search tool for mobile platforms, so just for your phone and it quickly expanded, we recognize the need across the market. It's been a really fun place to grow the business. And we have 11,000 customers today and growing every day, with 30 billion searches a week. So we do a lot of business, it's fun. >> Lisa: 30 billion searches a week and I saw some great customer brands, Locost, NBC Universal, you mentioned over 11,000. Talk to me a little bit about some of the technologies, I see that you have a search product, you have a recommendation product. What are some of those key capabilities that the products deliver? 'Cause as we know, as users, when we're searching for something, we expect it to be incredibly fast. >> Sure. Yeah. What's fun about Algolia is we are actually the second largest search engine on the internet today to Google. So we are right below the guy who's made search of their verb. So we really provide an overall search strategy. We provide a dashboard for our end users so they can provide the best results to their customers and what their customers see. Customers want to see everything from Recommend, which is our recommended engine. So when you search for that dress, it shows you the frequently bought together shoes that match, things like that, to things like promoted items and what's missing in the search results. So we do that with a different algorithm today. Most in the industry rank and they'll stack what you would want to see. We do kind of a pair for pair ranking system. So we really compare what you're looking for and it gives a much better result. >> And that's incredibly critical for users these days who want results in milliseconds. Jason, you, Apply Digital as a partner of Algolia, talk to us about Apply Digital, what it is that you guys do, and then give us a little bit of insight on that partnership. >> Sure. So Apply Digital was originally founded in 2016 in Vancouver, Canada. And we have offices in Vancouver, Toronto, New York, LA, San Francisco, Mexico city, Sao Paulo and Amsterdam. And we are a digital experiences agency. So brands and companies, and startups, and all the way from startups to major global conglomerates who have this desire to truly create these amazing digital experiences, it could be a website, it could be an app, it could be a full blown marketing platform, just whatever it is. And they lack either the experience or the internal resources, or what have you, then they come to us. And and we are end-to-end, we strategy, design, product, development, all the way through the execution side. And to help us out, we partner with organizations like Algolia to offer certain solutions, like an Algolia's case, like search recommendation, things like that, to our various clients and customers who are like, "Hey, I want to create this experience and it's going to require search, or it's going to require some sort of recommendation." And we're like, "Well, we highly recommend that you use Algolia. They're a partner of ours, they've been absolutely amazing over the time that we've had the partnership. And that's what we do." And honestly, for digital experiences, search is the essence of the internet, it just is. So, I cannot think of a single digital experience that doesn't require some sort of search or recommendation engine attached to it. So, and Algolia has just knocked it out of the park with their experience, not only from a customer experience, but also from a development experience. So that's why they're just an amazing, amazing partner to have. >> Sounds like a great partnership. Daisy, let's point it back over to you. Talk about some of those main challenges, Jason alluded to them, that businesses are facing, whether it's e-commerce, SaaS, a startup or whatnot, where search and recommendations are concerned. 'Cause we all, I think I've had that experience, where we're searching for something, and Daisy, you were describing how the recommendation engine works. And when we are searching for something, if I've already bought a tent, don't show me more tent, show me things that would go with it. What are some of those main challenges that Algolia solution just eliminates? >> Sure. So I think, one of the main challenges we have to focus on is, most of our customers are fighting against the big guides out there that have hundreds of engineers on staff, custom building a search solution. And our consumers expect that response. You expect the same search response that you get when you're streaming video content looking for a movie, from your big retailer shopping experiences. So what we want to provide is the ability to deliver that result with much less work and hassle and have it all show up. And we do that by really focusing on the results that the customers need and what that view needs to look like. We see a lot of our customers just experiencing a huge loss in revenue by only providing basic search. And because as Jason put it, search is so fundamental to the internet, we all think it's easy, we all think it's just basic. And when you provide basic, you don't get the shoes with the dress, you get just the text response results back. And so we want to make sure that we're providing that back to our customers. What we see average is even, and everybody's going mobile. A lot of times I know I do all my shopping on my phone a lot of the time, and 40%-50% better relevancy results for our customers for mobile users. That's a huge impact to their use case. >> That is huge. And when we talked about patients wearing quite thin the last couple of years. But we have this expectation in our consumer lives and in our business lives if we're looking for SaaS or software, or whatnot, that we're going to be able to find what we want that's relevant to what we're looking for. And you mentioned revenue impact, customer churn, brand reputation, those are all things that if search isn't done well, to your point, Daisy, if it's done in a basic fashion, those are some of the things that customers are going to experience. Jason, talk to us about why Algolia, what was it specifically about that technology that really led Apply Digital to say, "This is the right partner to help eliminate some of those challenges that our customers could face?" >> Sure. So I'm in the product world. So I have the wonderful advantage of not worrying about how something's built, that is left, unfortunately, to the poor, poor engineers that have to work with us, mad scientist, product people, who are like, "I want, make it do this. I don't know how, but make it do this." And one of the big things is, with Algolia is the lift to implement is really, really light. Working closely with our engineering team, and even with our customers/users and everything like that, you kind of alluded to it a little earlier, it's like, at the end of the day, if it's bad search, it's bad search. It just is. It's terrible. And people's attention span can now be measured in nanoseconds, but they don't care how it works, they just want it to work. I push a button, I want something to happen, period. There's an entire universe that is behind that button, and that's what Algolia has really focused on, that universe behind that button. So there's two ways that we use them, on a web experience, there's the embedded Search widget, which is really, really easy to implement, documentation, and I cannot speak high enough about documentation, is amazing. And then from the web aspect, I'm sorry, from the mobile aspect, it's very API fort. And any type of API implementation where you can customize the UI, which obviously you can imagine our clients are like, "No we want to have our own front end. We want to have our own custom experience." We use Algolia as that engine. Again, the documentation and the light lift of implementation is huge. That is a massive, massive bonus for why we partnered with them. Before product, I was an engineer a very long time ago. I've seen bad documentation. And it's like, (Lisa laughing) "I don't know how to imple-- I don't know what this is. I don't know how to implement this, I don't even know what I'm looking at." But with Algolia and everything, it's so simple. And I know I can just hear the Apply Digital technology team, just grinding sometimes, "Why is a product guy saying that (mumbles)? He should do it." But it is, it just the lift, it's the documentation, it's the support. And it's a full blown partnership. And that's why we went with it, and that's what we tell our clients. It's like, listen, this is why we chose Algolia, because eventually this experience we're creating for them is theirs, ultimately it's theirs. And then they are going to have to pick it up after a certain amount of time once it's theirs. And having that transition of, "Look this is how easy it is to implement, here is all the documentation, here's all the support that you get." It just makes that transition from us to them beautifully seamless. >> And that's huge. We often talk about hard metrics, but ease of use, ease of implementation, the documentation, the support, those are all absolutely business critical for the organization who's implementing the software, the fastest time to value they can get, can be table stakes, and it can be on also a massive competitive differentiator. Daisy, I want to go back to you in terms of hard numbers. Algolia has a recent force or Total Economic Impact, or TEI study that really has some compelling stats. Can you share some of those insights with us? >> Yeah. Absolutely. I think that this is the one of the most fun numbers to share. We have a recent report that came out, it shared that there's a 382% Return on Investment across three years by implementing Algolia. So that's increase to revenue, increased conversion rate, increased time on your site, 382% Return on Investment for the purchase. So we know our pricing's right, we know we're providing for our customers. We know that we're giving them the results that we need. I've been in the search industry for long enough to know that those are some amazing stats, and I'm really proud to work for them and be behind them. >> That can be transformative for a business. I think we've all had that experience of trying to search on a website and not finding anything of relevance. And sometimes I scratch my head, "Why is this experience still like this? If I could churn, I would." So having that ability to easily implement, have the documentation that makes sense, and get such high ROI in a short time period is hugely differentiated for businesses. And I think we all know, as Jason said, we measure response time in nanoseconds, that's how much patience and tolerance we all have on the business side, on the consumer side. So having that, not just this fast search, but the contextual search is table stakes for organizations these days. I'd love for you guys, and on either one of you can take this, to share a customer example or two, that really shows the value of the Algolia product, and then also maybe the partnership. >> So I'll go. We have a couple of partners in two vastly different industries, but both use Algolia as a solution for search. One of them is a, best way to put this, multinational biotech health company that has this-- We built for them this internal portal for all of their healthcare practitioners, their HCPs, so that they could access information, data, reports, wikis, the whole thing. And it's basically, almost their version of Wikipedia, but it's all internal, and you can imagine the level of of data security that it has to be, because this is biotech and healthcare. So we implemented Algolia as an internal search engine for them. And the three main reasons why we recommended Algolia, and we implemented Algolia was one, HIPAA compliance. That's the first one, it's like, if that's a no, we're not playing. So HIPAA compliance, again, the ease of search, the whole contextual search, and then the recommendations and things like that. It was a true, it didn't-- It wasn't just like a a halfhearted implementation of an internal search engine to look for files thing, it is a full blown search engine, specifically for the data that they want. And I think we're averaging, if I remember the numbers correctly, it's north of 200,000 searches a month, just on this internal portal specifically for their employees in their company. And it's amazing, it's absolutely amazing. And then conversely, we work with a pretty high level adventure clothing brand, standard, traditional e-commerce, stable mobile application, Lisa, what you were saying earlier. It's like, "I buy everything on my phone," thing. And so that's what we did. We built and we support their mobile application. And they wanted to use for search, they wanted to do a couple of things which was really interesting. They wanted do traditional search, search catalog, search skews, recommendations, so forth and so on, but they also wanted to do a store finder, which was kind of interesting. So, we'd said, all right, we're going to be implementing Algolia because the lift is going to be so much easier than trying to do everything like that. And we did, and they're using it, and massively successful. They are so happy with it, where it's like, they've got this really contextual experience where it's like, I'm looking for a store near me. "Hey, I've been looking for these items. You know, I've been looking for this puffy vest, and I'm looking for a store near me." It's like, "Well, there's a store near me but it doesn't have it, but there's a store closer to me and it does have it." And all of that wraps around what it is. And all of it was, again, using Algolia, because like I said earlier, it's like, if I'm searching for something, I want it to be correct. And I don't just want it to be correct, I want it to be relevant. >> Lisa: Yes. >> And I want it to feel personalized. >> Yes. >> I'm asking to find something, give me something that I am looking for. So yeah. >> Yeah. That personalization and that relevance is critical. I keep saying that word "critical," I'm overusing it, but it is, we have that expectation that whether it's an internal portal, as you talked about Jason, or it's an adventure clothing brand, or a grocery store, or an e-commerce site, that what they're going to be showing me is exactly what I'm looking for, that magic behind there that's almost border lines on creepy, but we want it. We want it to be able to make our lives easier whether we are on the consumer side, whether we on the business side. And I do wonder what the Go To Market is. Daisy, can you talk a little bit about, where do customers go that are saying, "Oh, I need to Algolia, and I want to be able to do that." Now, what's the GTM between both of these companies? >> So where to find us, you can find us on AWS Marketplace which another favorite place. You can quickly click through and find, but you can connect us through Apply Digital as well. I think, we try to be pretty available and meet our customers where they are. So we're open to any options, and we love exploring with them. I think, what is fun and I'd love to talk about as well, in the customer cases, is not just the e-commerce space, but also the content space. We have a lot of content customers, things about news, organizations, things like that. And since that's a struggle to deliver results on, it's really a challenge. And also you want it to be relevant, so up-to-date content. So it's not just about e-commerce, it's about all of your solution overall, but we hope that you'll find us on AWS Marketplace or anywhere else. >> Got it. And that's a great point, that it's not just e-commerce, it's content. And that's really critical for some industry, businesses across industries. Jason and Daisy, thank you so much for joining me talking about Algolia, Apply Digital, what you guys are doing together, and the huge impact that you're making to the customer user experience that we all appreciate and know, and come to expect these days is going to be awesome. We appreciate your insights. >> Thank you. >> Thank you >> For Daisy and Jason, I'm Lisa Martin. You're watching "theCUBE," our "AWS Startup Showcase, MarTech Emerging Cloud-Scale Customer Experiences." Keep it right here on "theCUBE" for more great content. We're the leader in live tech coverage. (ending riff)

>> From the Amazon Meeting Center in downtown Seattle, it's theCUBE. Covering: Imagine A Better World, A Global Education Conference. Sponsored by Amazon Web Services. >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in downtown Seattle at the AWS IMAGINE education event, first time ever, 900 people registered, over 20 countries represented, Teresa gave the keynote, a lot of exciting stuff. And one of the big announcements is some of the work that's happening down in Los Angeles with all the community colleges there. We're excited to have, right off the keynote stage, he's Bill Allen, the CEO of the LA Economic Development Corporation, who's been instrumental in getting this thing off the ground. Bill, good to see you. >> Jeff, it's great to be with you today. This is an exciting moment for us, rolling out this very successful pilot program to all 19 colleges that are part of the LA Regional Consortium. >> So let's jump in, it's called the CA Cloud Workforce Project. >> Yeah, the California Cloud Workforce Project. We have obviously millions of businesses in California, in our own region 250,000 business with employees that are looking to convert to the cloud, take advantage of the exciting tools and resources available to them in the cloud, but they need the skilled workers in these firms to help migrate this transition and that's what our community colleges are stepping up to provide with the help of Amazon Web Services and AWS Educate. >> So it's really interesting cause you know it's a special role that community colleges play within the whole education system, and we could have a whole long debate over adult beverages on a Friday about the state of the education system but specifically here, there is a huge gap and people think technology's taking jobs away. They're taking some jobs away, but they're opening up a ton of new jobs and go no further than looking at the jobs open recs, there's lots and lots and lots of jobs to fill. So how did it come to be to tie that back directly to real skills, that you can actually have real kids take real jobs? >> Well we see these transitions happening all across the industry sectors in Los Angeles and we have a broad array: aerospace, entertainment, digital media, life sciences, transportation logistics. >> It's the little technology, right. >> Advanced transportation. they're all undergoing significant changes and they're all becoming more technology enabled, more technology dependent. And the opportunity exists to train workers for these technology enabled jobs that provide good wages and good benefits, and help our businesses compete globally and take advantage, fully leverage all these advances and innovations. We formed a center for a competitive workforce with all of our 19 colleges, using their labeled market researcher economists and our own economists in the institute for applied economics at the LAEDC, to study the evolving demand for labor and skills in the various occupations in these industry sectors and compare that against the supply side of our labor market. >> Right, right. >> To enhance our talent development pipeline, and its led to new programs such as this. This was one of the clear areas of opportunity was cloud computing skills. The first program we launched at Santa Monica College, had two sections they rapidly sold out, we had to expand it to seven sections. More than 300 students participated in the first year of courses. 230 are signed up for this Fall 2018. And it's an extraordinarily successful program, but now the other 18 community college presidents have all stepped up and said we're going to roll this out on our campuses beginning this August at East Los Angeles college and historic East LA, part of our community which, speaks to the diversity opportunities. >> Right. >> We have a very diverse population in Los Angeles and many of our communities have been underrepresented historically in the technology fields. They are really interested in accessing the skills and opportunities, and they are really taking up these courses with enthusiasm from our local high schools to our community colleges. And I think it's going to help us in Los Angeles really diversity our technology workforce, and that helps our companies expand globally. >> Right, so I'm just curious, what are some of the skills when you did the research that popped up in terms of specific types of jobs? Because we've all see the pictures of data centers, they are usually pretty clean, there's not a lot of people walking around. But there are people that really need to make it go. So what were some of those kind of job titles and job skills that leapt out that have such demand, and field demand. >> There's so much need for data scientist, there's so much need for machine learning capabilities, there's so much need for basic cloud computing, cyber security, really all of these advanced technologies that are data dependent, data analytic, data science, really are emerging as important components of each and every industry sector that I mentioned earlier that exists in our community and throughout the world. And so our job is to try and share that knowledge with our community colleges, our state universities, our four year public and private institutions, and even our k-12 institutions so they can begin to adjust their curriculum to ensure that they're creating pathways of learning at the earliest ages, and then specific coursework in these emerging opportunities throughout the career ladder, throughout the career development pipeline in the LA area. >> So I want to touch base on the k-12 because I think an interesting component of this program is each community college is paired up with at least one, I don't know if there's more than one high school in their area. And it's always been kind of interesting to me that it's been so hard to get kind of CS baked into kind of the standard high school curriculum. You've got kind of the standard math track with trig and Calc, and Algebra I and Algebra II, you've got kind of the standard science track with Physics, and Bio, and Chem. But it's been really hard to wedge CS into that. So are you finding with programs like this, kind of the adoption or the embracing of the CS curriculum at these lower, lower levels is finally getting some steam? >> We are, interestingly our students have often been ahead of our institutions in understanding the demand and the opportunity, and they've been clamoring for these kinds of opportunities. And our industries are becoming more aware of the roll that they can play in helping our schools develop the curriculum, purchase, acquire, maintain the equipment associated with this. Whether it's hardware, or software. And these partnerships that are emerging originally around some theme based academies in our schools, both charter schools and traditional public schools have been helping the broader school districts engage more deeply in the development of curriculum to prepare a more technologically literate workforce for the future. >> Right, now what if you could speak a little to the public private partnership. You're with the economic development corporation, you mentioned LA chamber of commerce's involved and now you've got a big company like AWS, there's a lot of resources to bring to bare and also a lot of open job recs. How does that work, and how have they helped you partner with Amazon AWS kind of move your initiative forward? >> So Amazon and the AWS platform have been terrific partners and specifically the AWS education initiative, have been terrific partners and are really shining the way, lighting the path for other major employers in our region. The students who graduate with this program will not only be valuable to Amazon itself but so many of its customers who are migrating to the cloud platform. But we have companies like Northrop Grumman who are partnering with community colleges to develop talent for their joint strike fighter program in the North end of our county, and hiring people for well paying jobs. Amazon has premier partners in their AWS educate partner program like Anaca who are providing internships for the graduates of this program. So the public and private sector are working closely together, that's why the LAEDC and the LA chamber were asked to get involved in this so we can bring employers to the table, who are really forward looking in their approaches to developing their future talent pipeline. And really desirous of developing the more diverse talent base that is in Los Angeles to fill the needs as so many of the workers in these industries are aging out of the workforce. We need a significant number of newly skilled young people in our communities to take on the future of each of these industries. >> Right, so we're both big fans of Teresa Carlson she kicked things off today. If we come back a year from today, which I assume we will, what are we going to be talking about? How do you see kind of the next year? What are your kind of short term goals and more medium term goals? I won't even ask you about long term goals. >> As I mentioned we had a few hundred students sign up for this so much so that we had to expand the sections from two to seven, I think you're going to see thousands of students taking advantage of this across our region. We have 300,000 students in our community colleges in this LA regional consortium. >> 300 thousand? >> 300 thousand students. >> Make a big impact. >> And I think a significant number of them are going to want to avail themselves of these types of opportunities. We're projecting through our center for competitive workforce, thousands of job openings in this area and so we have a ways to go of scaling this up to the thousands of students who should be taking these courses, and preparing themselves for the well paying jobs in these careers in Los Angeles and the broader Southern California mega region for which our community colleges train such a healthy percentage of our workforce. >> Alright Bill, well sounds like you're off and running, and wish you nothing but the best. >> Jeff, thanks so much, great talking to you. >> Alright, he's Bill, I'm Jeff. You're watching theCUBE! We're at AWS Imagine education in Seattle. Thanks for watching. (upbeat music)