(upbeat music) >> Narrator: From Seattle, Washington it's theCUBE. Covering AWS Imagine. Brought to you by Amazon Web Services. >> Hey, welcome back everybody, Jeff Rick here with theCUBE. We're at AWS Imagine, it's a show all about education. That's whether it's university, K to 12, community college, post-military service. Amazon is very, very committed to education market. It's part of the public sector group underneath Teresa Carlson. This is the second year of the conference. We're excited to be back, and really some interesting conversations about how does education move forward. 'Cause it doesn't necessarily have the best reputation for being the most progressive industry out there. So we're excited to have our next guest all the way from London, she's Dr. Amanda Broderick, the Vice-Chancellor and President of the University of East London. Welcome. >> Thank you very much. Thank you, very nice to meet you. >> Absolutely, so first off before we get into it, just kind of your impressions of this event, and kind of what Amazon is doing. Teresa did the keynote today, which is not insignificant. She's a super busy lady, and kind of what does this ecosystem, these resources, this kind of focus, do for you as an educator? >> The main reason that we're working with AWS in such a significant way is actually because of our genuine values alignment. Institutionally, those core priorities are really where we want to go as an organization. And for me this conference, this summit, has been an opportunity to share best practice, to innovate, to truly explore the opportunity to disrupt for ultimately, the end goal. Which is about the education, the development of our next generation, and the support of talent development for the future. >> But unfortunately, a lot of times it feels like institutions put the institution first, and we're seeing a lot of conversations here in the US about these ridiculously crazy, large endowments that sit in piles of money. And is the investment getting back to the students? Are we keeping our eye on the ball? That it's the students that need the investment, not all the other stuff, all the other distractions, that get involved in the higher education. >> I suppose that is where the University of East London is fundamentally different. Core to our mission is driving social mobility, and as such we have to be absolutely clear what those learner outcomes are, and they are about being able to access and accelerate in their careers, and indeed in their lifelong learning to enable them to progress in portfolio careers. >> Right, so it's interesting ahead the three topics for this shows is tomorrow's workforce, which we've talked a lot about the education. The role of ML, which I think is interesting that it got its own bullet. Just because machine learning is so pervasive, and software, and doing lots of things. And the one that that struck me is the effort to have higher predictability on the success of the student, and to really make sure that you're catching problems early, if there is a problem. You're actually using a lot of science to better improve the odds of that student success. A lot of conversation here about that topic. >> Absolutely, absolutely, and that machine learning approach is one of the key dimensions in our relationship with AWS. And this is not just about the student outcomes around continuation, engagement, progression, student success, but actually for the University of East London, it's also been about the identification of students at risk. So we fundamentally believe that health gain is a precondition of learning gain. Particularly important for an institution like ours that is so socially inclusive, and therefore what we're doing, we're actually one of ten institutions that have been funded by the government and working in partnership with AWS as a pilot to share best practice across the UK as a whole, is to identify the proxies. For example, mental health issues, to be able to signpost and traffic light the sign posting to areas of support and to be able to direct prevention, intervention and postvention strategies to those students at risk. And that project is actually a key area of our partnership development with AWS. >> And how long has that been going on? We talked it a little bit about it before we turn the cameras on, and it just seems so foundational to me that without putting in that infrastructure for these kids, regardless of their age, their probability of success on top of that, without a good foundation is so much less. So when did this become a priority? How are you prioritizing it? What are some of the really key measures that you're using to make sure that you're making progress against this goal? >> Absolutely, so the university has made good progress in terms of the fundamental issues of identifying where the correlations and the causations are between both physical and mental health and well-being, and outcomes. What we haven't been able to do at this point is the scalability of this issue, and that's really where this pilot project, which has literally been announced in the last couple of weeks, that we're working very closely with AWS in order to convert that core foundational research and development into scalable solutions. Not just for my own university, but actually for the sector as a whole. >> Right, so we talked about academic institutions, maybe not necessarily have the best reputation for innovation, especially kind of old storied ones with old ivy plants growing up old old brick walls. Is this a new kind of realization of the importance of this? Is this coming from maybe some of the more vocational kind of schools, or is it coming from the top? Do they realize that there's more to this than just making sure people study, and they know what they're doing when they turn in their test and get their paper in on time? >> It's both a top-down and bottom-up approach. It's fundamental to the University of East London. It's new ten year strategy vision 2028. Health gain is that precondition of learning gain. It's fundamental to the realization of our learner's success. But also it's come from a groundswell of the research and development outcomes over a number of years. So it's absolutely been the priority for the institution from September 2018, and we've been able to accelerate this over the last few months. >> So important. Such important work. Flipping the point a little bit on to something a little lighter, a little bit more fun, it's really innovation on the engagement with the students around things like mobile. We've had a lot of conversations here about integrating Alexa, and voice, and competing with online, and competing with other institutions, and being a little bit more proactive in engaging with the customer as your students. I wonder if you can share some thoughts as to how that has evolved over time. Again, you've been in the business for a while, and really starting to cater and be innovative on that front end, versus the back end, to be more engaging and help students learn in different ways. Where they are in little micro segments. It's a very different kind of approach. >> It absolutely is and one of our four major facilitating transformation projects, it's called our digital verse project, and that is across all of our activities of an institution, in terms of business transformation, our particular priority is prospect engagement, and how we actually convert our potential learners in more effective ways. Secondly, enhancing deeper learning, and how we then produce better learner outcomes. Thirdly, how we develop access to new ways of educational provision, 24/7 global access. And fourthly, how do we connect with employers in partnership to make sure that we get those challenges around pre-selection recruitment strategies, and we're unable to get the students, our learners, into careers post graduation. >> Right, and then what's the kind of feedback from the teachers and the professors? They have so much on their plate. Right, they've got their core academic research that they're doing, they're teaching their students, they've got a passion around that area. I always tell people it's like driving in the car in the snow at night with your headlights on, right. Just like all types of new regs that are coming in and requirements and law, and this that and the other. Now we're coming in with this whole four point digital transformation. Are they excited, are they overwhelmed, are they like finally, we're getting to do something different? I mean what's the take within the academics, specifically in your school? >> I think the answer to that is all of the above. >> All of the above. >> It really reflects the classic adoption curve. So you do have the innovators, you have the early adopters, and then you also have the laggards at the other end. And an often actually, the most traditional academics that have been doing things for many, many years, who are very set in their ways, if you expose them to new opportunities, new experiences, and actually provide them with the tools to innovate, they could be some of the best advocates for the transformation and we've certainly found that to be the case. >> Good, well Amanda, thanks for taking a few minutes of your time, it sounds like they're going to start the dancing here behind us soon. So I think we'll have to leave it there, but I look forward to seeing you sometime in London. >> Thank you very much. >> Alright, she's Dr. Amanda Broderick, I'm Jeff Rick, you're watching theCUBE. We're at AWS Imagine in Seattle. Thanks for watching we'll see you next time. (upbeat music)

>>This past May, The Cube in collaboration with Influx data shared with you the latest innovations in Time series databases. We talked at length about why a purpose built time series database for many use cases, was a superior alternative to general purpose databases trying to do the same thing. Now, you may, you may remember the time series data is any data that's stamped in time, and if it's stamped, it can be analyzed historically. And when we introduced the concept to the community, we talked about how in theory, those time slices could be taken, you know, every hour, every minute, every second, you know, down to the millisecond and how the world was moving toward realtime or near realtime data analysis to support physical infrastructure like sensors and other devices and IOT equipment. A time series databases have had to evolve to efficiently support realtime data in emerging use cases in iot T and other use cases. >>And to do that, new architectural innovations have to be brought to bear. As is often the case, open source software is the linchpin to those innovations. Hello and welcome to Evolving Influx DB into the smart Data platform, made possible by influx data and produced by the Cube. My name is Dave Valante and I'll be your host today. Now in this program we're going to dig pretty deep into what's happening with Time series data generally, and specifically how Influx DB is evolving to support new workloads and demands and data, and specifically around data analytics use cases in real time. Now, first we're gonna hear from Brian Gilmore, who is the director of IOT and emerging technologies at Influx Data. And we're gonna talk about the continued evolution of Influx DB and the new capabilities enabled by open source generally and specific tools. And in this program you're gonna hear a lot about things like Rust, implementation of Apache Arrow, the use of par k and tooling such as data fusion, which powering a new engine for Influx db. >>Now, these innovations, they evolve the idea of time series analysis by dramatically increasing the granularity of time series data by compressing the historical time slices, if you will, from, for example, minutes down to milliseconds. And at the same time, enabling real time analytics with an architecture that can process data much faster and much more efficiently. Now, after Brian, we're gonna hear from Anna East Dos Georgio, who is a developer advocate at In Flux Data. And we're gonna get into the why of these open source capabilities and how they contribute to the evolution of the Influx DB platform. And then we're gonna close the program with Tim Yokum, he's the director of engineering at Influx Data, and he's gonna explain how the Influx DB community actually evolved the data engine in mid-flight and which decisions went into the innovations that are coming to the market. Thank you for being here. We hope you enjoy the program. Let's get started. Okay, we're kicking things off with Brian Gilmore. He's the director of i t and emerging Technology at Influx State of Bryan. Welcome to the program. Thanks for coming on. >>Thanks Dave. Great to be here. I appreciate the time. >>Hey, explain why Influx db, you know, needs a new engine. Was there something wrong with the current engine? What's going on there? >>No, no, not at all. I mean, I think it's, for us, it's been about staying ahead of the market. I think, you know, if we think about what our customers are coming to us sort of with now, you know, related to requests like sql, you know, query support, things like that, we have to figure out a way to, to execute those for them in a way that will scale long term. And then we also, we wanna make sure we're innovating, we're sort of staying ahead of the market as well and sort of anticipating those future needs. So, you know, this is really a, a transparent change for our customers. I mean, I think we'll be adding new capabilities over time that sort of leverage this new engine, but you know, initially the customers who are using us are gonna see just great improvements in performance, you know, especially those that are working at the top end of the, of the workload scale, you know, the massive data volumes and things like that. >>Yeah, and we're gonna get into that today and the architecture and the like, but what was the catalyst for the enhancements? I mean, when and how did this all come about? >>Well, I mean, like three years ago we were primarily on premises, right? I mean, I think we had our open source, we had an enterprise product, you know, and, and sort of shifting that technology, especially the open source code base to a service basis where we were hosting it through, you know, multiple cloud providers. That was, that was, that was a long journey I guess, you know, phase one was, you know, we wanted to host enterprise for our customers, so we sort of created a service that we just managed and ran our enterprise product for them. You know, phase two of this cloud effort was to, to optimize for like multi-tenant, multi-cloud, be able to, to host it in a truly like sass manner where we could use, you know, some type of customer activity or consumption as the, the pricing vector, you know, And, and that was sort of the birth of the, of the real first influx DB cloud, you know, which has been really successful. >>We've seen, I think like 60,000 people sign up and we've got tons and tons of, of both enterprises as well as like new companies, developers, and of course a lot of home hobbyists and enthusiasts who are using out on a, on a daily basis, you know, and having that sort of big pool of, of very diverse and very customers to chat with as they're using the product, as they're giving us feedback, et cetera, has has, you know, pointed us in a really good direction in terms of making sure we're continuously improving that and then also making these big leaps as we're doing with this, with this new engine. >>Right. So you've called it a transparent change for customers, so I'm presuming it's non-disruptive, but I really wanna understand how much of a pivot this is and what, what does it take to make that shift from, you know, time series, you know, specialist to real time analytics and being able to support both? >>Yeah, I mean, it's much more of an evolution, I think, than like a shift or a pivot. You know, time series data is always gonna be fundamental and sort of the basis of the solutions that we offer our customers, and then also the ones that they're building on the sort of raw APIs of our platform themselves. You know, the time series market is one that we've worked diligently to lead. I mean, I think when it comes to like metrics, especially like sensor data and app and infrastructure metrics, if we're being honest though, I think our, our user base is well aware that the way we were architected was much more towards those sort of like backwards looking historical type analytics, which are key for troubleshooting and making sure you don't, you know, run into the same problem twice. But, you know, we had to ask ourselves like, what can we do to like better handle those queries from a performance and a, and a, you know, a time to response on the queries, and can we get that to the point where the results sets are coming back so quickly from the time of query that we can like limit that window down to minutes and then seconds. >>And now with this new engine, we're really starting to talk about a query window that could be like returning results in, in, you know, milliseconds of time since it hit the, the, the ingest queue. And that's, that's really getting to the point where as your data is available, you can use it and you can query it, you can visualize it, and you can do all those sort of magical things with it, you know? And I think getting all of that to a place where we're saying like, yes to the customer on, you know, all of the, the real time queries, the, the multiple language query support, but, you know, it was hard, but we're now at a spot where we can start introducing that to, you know, a a limited number of customers, strategic customers and strategic availability zones to start. But you know, everybody over time. >>So you're basically going from what happened to in, you can still do that obviously, but to what's happening now in the moment? >>Yeah, yeah. I mean if you think about time, it's always sort of past, right? I mean, like in the moment right now, whether you're talking about like a millisecond ago or a minute ago, you know, that's, that's pretty much right now, I think for most people, especially in these use cases where you have other sort of components of latency induced by the, by the underlying data collection, the architecture, the infrastructure, the, you know, the, the devices and you know, the sort of highly distributed nature of all of this. So yeah, I mean, getting, getting a customer or a user to be able to use the data as soon as it is available is what we're after here. >>I always thought, you know, real, I always thought of real time as before you lose the customer, but now in this context, maybe it's before the machine blows up. >>Yeah, it's, it's, I mean it is operationally or operational real time is different, you know, and that's one of the things that really triggered us to know that we were, we were heading in the right direction, is just how many sort of operational customers we have. You know, everything from like aerospace and defense. We've got companies monitoring satellites, we've got tons of industrial users, users using us as a processes storing on the plant floor, you know, and, and if we can satisfy their sort of demands for like real time historical perspective, that's awesome. I think what we're gonna do here is we're gonna start to like edge into the real time that they're used to in terms of, you know, the millisecond response times that they expect of their control systems, certainly not their, their historians and databases. >>I, is this available, these innovations to influx DB cloud customers only who can access this capability? >>Yeah. I mean commercially and today, yes. You know, I think we want to emphasize that's a, for now our goal is to get our latest and greatest and our best to everybody over time. Of course. You know, one of the things we had to do here was like we double down on sort of our, our commitment to open source and availability. So like anybody today can take a look at the, the libraries in on our GitHub and, you know, can ex inspect it and even can try to, you know, implement or execute some of it themselves in their own infrastructure. You know, we are, we're committed to bringing our sort of latest and greatest to our cloud customers first for a couple of reasons. Number one, you know, there are big workloads and they have high expectations of us. I think number two, it also gives us the opportunity to monitor a little bit more closely how it's working, how they're using it, like how the system itself is performing. >>And so just, you know, being careful, maybe a little cautious in terms of, of, of how big we go with this right away, just sort of both limits, you know, the risk of, of, you know, any issues that can come with new software rollouts. We haven't seen anything so far, but also it does give us the opportunity to have like meaningful conversations with a small group of users who are using the products, but once we get through that and they give us two thumbs up on it, it'll be like, open the gates and let everybody in. It's gonna be exciting time for the whole ecosystem. >>Yeah, that makes a lot of sense. And you can do some experimentation and, you know, using the cloud resources. Let's dig into some of the architectural and technical innovations that are gonna help deliver on this vision. What, what should we know there? >>Well, I mean, I think foundationally we built the, the new core on Rust. You know, this is a new very sort of popular systems language, you know, it's extremely efficient, but it's also built for speed and memory safety, which goes back to that us being able to like deliver it in a way that is, you know, something we can inspect very closely, but then also rely on the fact that it's going to behave well. And if it does find error conditions, I mean we, we've loved working with Go and, you know, a lot of our libraries will continue to, to be sort of implemented in Go, but you know, when it came to this particular new engine, you know, that power performance and stability rust was critical. On top of that, like, we've also integrated Apache Arrow and Apache Parque for persistence. I think for anybody who's really familiar with the nuts and bolts of our backend and our TSI and our, our time series merged Trees, this is a big break from that, you know, arrow on the sort of in MI side and then Par K in the on disk side. >>It, it allows us to, to present, you know, a unified set of APIs for those really fast real time inquiries that we talked about, as well as for very large, you know, historical sort of bulk data archives in that PARQUE format, which is also cool because there's an entire ecosystem sort of popping up around Parque in terms of the machine learning community, you know, and getting that all to work, we had to glue it together with aero flight. That's sort of what we're using as our, our RPC component. You know, it handles the orchestration and the, the transportation of the Coer data. Now we're moving to like a true Coer database model for this, this version of the engine, you know, and it removes a lot of overhead for us in terms of having to manage all that serialization, the deserialization, and, you know, to that again, like blurring that line between real time and historical data. It's, you know, it's, it's highly optimized for both streaming micro batch and then batches, but true streaming as well. >>Yeah. Again, I mean, it's funny you mentioned Rust. It is, it's been around for a long time, but it's popularity is, is you know, really starting to hit that steep part of the S-curve. And, and we're gonna dig into to more of that, but give us any, is there anything else that we should know about Bryan? Give us the last word? >>Well, I mean, I think first I'd like everybody sort of watching just to like take a look at what we're offering in terms of early access in beta programs. I mean, if, if, if you wanna participate or if you wanna work sort of in terms of early access with the, with the new engine, please reach out to the team. I'm sure you know, there's a lot of communications going out and you know, it'll be highly featured on our, our website, you know, but reach out to the team, believe it or not, like we have a lot more going on than just the new engine. And so there are also other programs, things we're, we're offering to customers in terms of the user interface, data collection and things like that. And, you know, if you're a customer of ours and you have a sales team, a commercial team that you work with, you can reach out to them and see what you can get access to because we can flip a lot of stuff on, especially in cloud through feature flags. >>But if there's something new that you wanna try out, we'd just love to hear from you. And then, you know, our goal would be that as we give you access to all of these new cool features that, you know, you would give us continuous feedback on these products and services, not only like what you need today, but then what you'll need tomorrow to, to sort of build the next versions of your business. Because you know, the whole database, the ecosystem as it expands out into to, you know, this vertically oriented stack of cloud services and enterprise databases and edge databases, you know, it's gonna be what we all make it together, not just, you know, those of us who were employed by Influx db. And then finally I would just say please, like watch in ICE in Tim's sessions, like these are two of our best and brightest, They're totally brilliant, completely pragmatic, and they are most of all customer obsessed, which is amazing. And there's no better takes, like honestly on the, the sort of technical details of this, then there's, especially when it comes to like the value that these investments will, will bring to our customers and our communities. So encourage you to, to, you know, pay more attention to them than you did to me, for sure. >>Brian Gilmore, great stuff. Really appreciate your time. Thank you. >>Yeah, thanks Dave. It was awesome. Look forward to it. >>Yeah, me too. Looking forward to see how the, the community actually applies these new innovations and goes, goes beyond just the historical into the real time really hot area. As Brian said in a moment, I'll be right back with Anna East dos Georgio to dig into the critical aspects of key open source components of the Influx DB engine, including Rust, Arrow, Parque, data fusion. Keep it right there. You don't wanna miss this >>Time series Data is everywhere. The number of sensors, systems and applications generating time series data increases every day. All these data sources producing so much data can cause analysis paralysis. Influx DB is an entire platform designed with everything you need to quickly build applications that generate value from time series data influx. DB Cloud is a serverless solution, which means you don't need to buy or manage your own servers. There's no need to worry about provisioning because you only pay for what you use. Influx DB Cloud is fully managed so you get the newest features and enhancements as they're added to the platform's code base. It also means you can spend time building solutions and delivering value to your users instead of wasting time and effort managing something else. Influx TVB Cloud offers a range of security features to protect your data, multiple layers of redundancy ensure you don't lose any data access controls ensure that only the people who should see your data can see it. >>And encryption protects your data at rest and in transit between any of our regions or cloud providers. InfluxDB uses a single API across the entire platform suite so you can build on open source, deploy to the cloud and then then easily query data in the cloud at the edge or on prem using the same scripts. And InfluxDB is schemaless automatically adjusting to changes in the shape of your data without requiring changes in your application. Logic. InfluxDB Cloud is production ready from day one. All it needs is your data and your imagination. Get started today@influxdata.com slash cloud. >>Okay, we're back. I'm Dave Valante with a Cube and you're watching evolving Influx DB into the smart data platform made possible by influx data. Anna ETOs Georgio is here, she's a developer advocate for influx data and we're gonna dig into the rationale and value contribution behind several open source technologies that Influx DB is leveraging to increase the granularity of time series analysis analysis and bring the world of data into real-time analytics and is welcome to the program. Thanks for coming on. >>Hi, thank you so much. It's a pleasure to be here. >>Oh, you're very welcome. Okay, so IX is being touted as this next gen open source core for Influx db. And my understanding is that it leverages in memory of course for speed. It's a kilo store, so it gives you a compression efficiency, it's gonna give you faster query speeds, you store files and object storage, so you got very cost effective approach. Are these the salient points on the platform? I know there are probably dozens of other features, but what are the high level value points that people should understand? >>Sure, that's a great question. So some of the main requirements that IOx is trying to achieve and some of the most impressive ones to me, the first one is that it aims to have no limits on cardinality and also allow you to write any kind of event data that you want, whether that's live tag or a field. It also wants to deliver the best in class performance on analytics queries. In addition to our already well served metrics queries, we also wanna have operator control over memory usage. So you should be able to define how much memory is used for buffering caching and query processing. Some other really important parts is the ability to have bulk data export and import super useful. Also broader ecosystem compatibility where possible we aim to use and embrace emerging standards in the data analytics ecosystem and have compatibility with things like sql, Python, and maybe even pandas in the future. >>Okay, so lot there. Now we talked to Brian about how you're using Rust and which is not a new programming language and of course we had some drama around Rust during the pandemic with the Mozilla layoffs, but the formation of the Rust Foundation really addressed any of those concerns. You got big guns like Amazon and Google and Microsoft throwing their collective weights behind it. It's really, the adoption is really starting to get steep on the S-curve. So lots of platforms, lots of adoption with rust, but why rust as an alternative to say c plus plus for example? >>Sure, that's a great question. So Russ was chosen because of his exceptional performance and reliability. So while Russ is synt tactically similar to c plus plus and it has similar performance, it also compiles to a native code like c plus plus. But unlike c plus plus, it also has much better memory safety. So memory safety is protection against bugs or security vulnerabilities that lead to excessive memory usage or memory leaks. And rust achieves this memory safety due to its like innovative type system. Additionally, it doesn't allow for dangling pointers. And dangling pointers are the main classes of errors that lead to exploitable security vulnerabilities in languages like c plus plus. So Russ like helps meet that requirement of having no limits on ality, for example, because it's, we're also using the Russ implementation of Apache Arrow and this control over memory and also Russ Russ's packaging system called crates IO offers everything that you need out of the box to have features like AY and a weight to fix race conditions, to protection against buffering overflows and to ensure thread safe async cashing structures as well. So essentially it's just like has all the control, all the fine grain control, you need to take advantage of memory and all your resources as well as possible so that you can handle those really, really high ity use cases. >>Yeah, and the more I learn about the, the new engine and, and the platform IOCs et cetera, you know, you, you see things like, you know, the old days not even to even today you do a lot of garbage collection in these, in these systems and there's an inverse, you know, impact relative to performance. So it looks like you really, you know, the community is modernizing the platform, but I wanna talk about Apache Arrow for a moment. It it's designed to address the constraints that are associated with analyzing large data sets. We, we know that, but please explain why, what, what is Arrow and and what does it bring to Influx db? >>Sure, yeah. So Arrow is a, a framework for defining in memory calmer data. And so much of the efficiency and performance of IOx comes from taking advantage of calmer data structures. And I will, if you don't mind, take a moment to kind of of illustrate why column or data structures are so valuable. Let's pretend that we are gathering field data about the temperature in our room and also maybe the temperature of our stove. And in our table we have those two temperature values as well as maybe a measurement value, timestamp value, maybe some other tag values that describe what room and what house, et cetera we're getting this data from. And so you can picture this table where we have like two rows with the two temperature values for both our room and the stove. Well usually our room temperature is regulated so those values don't change very often. >>So when you have calm oriented st calm oriented storage, essentially you take each row, each column and group it together. And so if that's the case and you're just taking temperature values from the room and a lot of those temperature values are the same, then you'll, you might be able to imagine how equal values will then enable each other and when they neighbor each other in the storage format, this provides a really perfect opportunity for cheap compression. And then this cheap compression enables high cardinality use cases. It also enables for faster scan rates. So if you wanna define like the men and max value of the temperature in the room across a thousand different points, you only have to get those a thousand different points in order to answer that question and you have those immediately available to you. But let's contrast this with a row oriented storage solution instead so that we can understand better the benefits of calmer oriented storage. >>So if you had a row oriented storage, you'd first have to look at every field like the temperature in, in the room and the temperature of the stove. You'd have to go across every tag value that maybe describes where the room is located or what model the stove is. And every timestamp you'd then have to pluck out that one temperature value that you want at that one time stamp and do that for every single row. So you're scanning across a ton more data and that's why Rowe Oriented doesn't provide the same efficiency as calmer and Apache Arrow is in memory calmer data, commoner data fit framework. So that's where a lot of the advantages come >>From. Okay. So you basically described like a traditional database, a row approach, but I've seen like a lot of traditional database say, okay, now we've got, we can handle colo format versus what you're talking about is really, you know, kind of native i, is it not as effective? Is the, is the foreman not as effective because it's largely a, a bolt on? Can you, can you like elucidate on that front? >>Yeah, it's, it's not as effective because you have more expensive compression and because you can't scan across the values as quickly. And so those are, that's pretty much the main reasons why, why RO row oriented storage isn't as efficient as calm, calmer oriented storage. Yeah. >>Got it. So let's talk about Arrow Data Fusion. What is data fusion? I know it's written in Rust, but what does it bring to the table here? >>Sure. So it's an extensible query execution framework and it uses Arrow as it's in memory format. So the way that it helps in influx DB IOCs is that okay, it's great if you can write unlimited amount of cardinality into influx Cbis, but if you don't have a query engine that can successfully query that data, then I don't know how much value it is for you. So Data fusion helps enable the, the query process and transformation of that data. It also has a PANDAS API so that you could take advantage of PANDAS data frames as well and all of the machine learning tools associated with Pandas. >>Okay. You're also leveraging Par K in the platform cause we heard a lot about Par K in the middle of the last decade cuz as a storage format to improve on Hadoop column stores. What are you doing with Parque and why is it important? >>Sure. So parque is the column oriented durable file format. So it's important because it'll enable bulk import, bulk export, it has compatibility with Python and Pandas, so it supports a broader ecosystem. Par K files also take very little disc disc space and they're faster to scan because again, they're column oriented in particular, I think PAR K files are like 16 times cheaper than CSV files, just as kind of a point of reference. And so that's essentially a lot of the, the benefits of par k. >>Got it. Very popular. So and he's, what exactly is influx data focusing on as a committer to these projects? What is your focus? What's the value that you're bringing to the community? >>Sure. So Influx DB first has contributed a lot of different, different things to the Apache ecosystem. For example, they contribute an implementation of Apache Arrow and go and that will support clearing with flux. Also, there has been a quite a few contributions to data fusion for things like memory optimization and supportive additional SQL features like support for timestamp, arithmetic and support for exist clauses and support for memory control. So yeah, Influx has contributed a a lot to the Apache ecosystem and continues to do so. And I think kind of the idea here is that if you can improve these upstream projects and then the long term strategy here is that the more you contribute and build those up, then the more you will perpetuate that cycle of improvement and the more we will invest in our own project as well. So it's just that kind of symbiotic relationship and appreciation of the open source community. >>Yeah. Got it. You got that virtuous cycle going, the people call the flywheel. Give us your last thoughts and kind of summarize, you know, where what, what the big takeaways are from your perspective. >>So I think the big takeaway is that influx data is doing a lot of really exciting things with Influx DB IOx and I really encourage, if you are interested in learning more about the technologies that Influx is leveraging to produce IOCs, the challenges associated with it and all of the hard work questions and you just wanna learn more, then I would encourage you to go to the monthly Tech talks and community office hours and they are on every second Wednesday of the month at 8:30 AM Pacific time. There's also a community forums and a community Slack channel look for the influx DDB unders IAC channel specifically to learn more about how to join those office hours and those monthly tech tech talks as well as ask any questions they have about iacs, what to expect and what you'd like to learn more about. I as a developer advocate, I wanna answer your questions. So if there's a particular technology or stack that you wanna dive deeper into and want more explanation about how INFLUX DB leverages it to build IOCs, I will be really excited to produce content on that topic for you. >>Yeah, that's awesome. You guys have a really rich community, collaborate with your peers, solve problems, and, and you guys super responsive, so really appreciate that. All right, thank you so much Anise for explaining all this open source stuff to the audience and why it's important to the future of data. >>Thank you. I really appreciate it. >>All right, you're very welcome. Okay, stay right there and in a moment I'll be back with Tim Yoakum, he's the director of engineering for Influx Data and we're gonna talk about how you update a SAS engine while the plane is flying at 30,000 feet. You don't wanna miss this. >>I'm really glad that we went with InfluxDB Cloud for our hosting because it has saved us a ton of time. It's helped us move faster, it's saved us money. And also InfluxDB has good support. My name's Alex Nada. I am CTO at Noble nine. Noble Nine is a platform to measure and manage service level objectives, which is a great way of measuring the reliability of your systems. You can essentially think of an slo, the product we're providing to our customers as a bunch of time series. So we need a way to store that data and the corresponding time series that are related to those. The main reason that we settled on InfluxDB as we were shopping around is that InfluxDB has a very flexible query language and as a general purpose time series database, it basically had the set of features we were looking for. >>As our platform has grown, we found InfluxDB Cloud to be a really scalable solution. We can quickly iterate on new features and functionality because Influx Cloud is entirely managed, it probably saved us at least a full additional person on our team. We also have the option of running InfluxDB Enterprise, which gives us the ability to even host off the cloud or in a private cloud if that's preferred by a customer. Influx data has been really flexible in adapting to the hosting requirements that we have. They listened to the challenges we were facing and they helped us solve it. As we've continued to grow, I'm really happy we have influx data by our side. >>Okay, we're back with Tim Yokum, who is the director of engineering at Influx Data. Tim, welcome. Good to see you. >>Good to see you. Thanks for having me. >>You're really welcome. Listen, we've been covering open source software in the cube for more than a decade, and we've kind of watched the innovation from the big data ecosystem. The cloud has been being built out on open source, mobile, social platforms, key databases, and of course influx DB and influx data has been a big consumer and contributor of open source software. So my question to you is, where have you seen the biggest bang for the buck from open source software? >>So yeah, you know, influx really, we thrive at the intersection of commercial services and open, so open source software. So OSS keeps us on the cutting edge. We benefit from OSS in delivering our own service from our core storage engine technologies to web services temping engines. Our, our team stays lean and focused because we build on proven tools. We really build on the shoulders of giants and like you've mentioned, even better, we contribute a lot back to the projects that we use as well as our own product influx db. >>You know, but I gotta ask you, Tim, because one of the challenge that that we've seen in particular, you saw this in the heyday of Hadoop, the, the innovations come so fast and furious and as a software company you gotta place bets, you gotta, you know, commit people and sometimes those bets can be risky and not pay off well, how have you managed this challenge? >>Oh, it moves fast. Yeah, that, that's a benefit though because it, the community moves so quickly that today's hot technology can be tomorrow's dinosaur. And what we, what we tend to do is, is we fail fast and fail often. We try a lot of things. You know, you look at Kubernetes for example, that ecosystem is driven by thousands of intelligent developers, engineers, builders, they're adding value every day. So we have to really keep up with that. And as the stack changes, we, we try different technologies, we try different methods, and at the end of the day, we come up with a better platform as a result of just the constant change in the environment. It is a challenge for us, but it's, it's something that we just do every day. >>So we have a survey partner down in New York City called Enterprise Technology Research etr, and they do these quarterly surveys of about 1500 CIOs, IT practitioners, and they really have a good pulse on what's happening with spending. And the data shows that containers generally, but specifically Kubernetes is one of the areas that has kind of, it's been off the charts and seen the most significant adoption and velocity particularly, you know, along with cloud. But, but really Kubernetes is just, you know, still up until the right consistently even with, you know, the macro headwinds and all, all of the stuff that we're sick of talking about. But, so what are you doing with Kubernetes in the platform? >>Yeah, it, it's really central to our ability to run the product. When we first started out, we were just on AWS and, and the way we were running was, was a little bit like containers junior. Now we're running Kubernetes everywhere at aws, Azure, Google Cloud. It allows us to have a consistent experience across three different cloud providers and we can manage that in code so our developers can focus on delivering services, not trying to learn the intricacies of Amazon, Azure, and Google and figure out how to deliver services on those three clouds with all of their differences. >>Just to follow up on that, is it, no. So I presume it's sounds like there's a PAs layer there to allow you guys to have a consistent experience across clouds and out to the edge, you know, wherever is that, is that correct? >>Yeah, so we've basically built more or less platform engineering, This is the new hot phrase, you know, it, it's, Kubernetes has made a lot of things easy for us because we've built a platform that our developers can lean on and they only have to learn one way of deploying their application, managing their application. And so that, that just gets all of the underlying infrastructure out of the way and, and lets them focus on delivering influx cloud. >>Yeah, and I know I'm taking a little bit of a tangent, but is that, that, I'll call it a PAs layer if I can use that term. Is that, are there specific attributes to Influx db or is it kind of just generally off the shelf paths? You know, are there, is, is there any purpose built capability there that, that is, is value add or is it pretty much generic? >>So we really build, we, we look at things through, with a build versus buy through a, a build versus by lens. Some things we want to leverage cloud provider services, for instance, Postgres databases for metadata, perhaps we'll get that off of our plate, let someone else run that. We're going to deploy a platform that our engineers can, can deliver on that has consistency that is, is all generated from code that we can as a, as an SRE group, as an ops team, that we can manage with very few people really, and we can stamp out clusters across multiple regions and in no time. >>So how, so sometimes you build, sometimes you buy it. How do you make those decisions and and what does that mean for the, for the platform and for customers? >>Yeah, so what we're doing is, it's like everybody else will do, we're we're looking for trade offs that make sense. You know, we really want to protect our customers data. So we look for services that support our own software with the most uptime, reliability, and durability we can get. Some things are just going to be easier to have a cloud provider take care of on our behalf. We make that transparent for our own team. And of course for customers you don't even see that, but we don't want to try to reinvent the wheel, like I had mentioned with SQL data stores for metadata, perhaps let's build on top of what of these three large cloud providers have already perfected. And we can then focus on our platform engineering and we can have our developers then focus on the influx data, software, influx, cloud software. >>So take it to the customer level, what does it mean for them? What's the value that they're gonna get out of all these innovations that we've been been talking about today and what can they expect in the future? >>So first of all, people who use the OSS product are really gonna be at home on our cloud platform. You can run it on your desktop machine, on a single server, what have you, but then you want to scale up. We have some 270 terabytes of data across, over 4 billion series keys that people have stored. So there's a proven ability to scale now in terms of the open source, open source software and how we've developed the platform. You're getting highly available high cardinality time series platform. We manage it and, and really as, as I mentioned earlier, we can keep up with the state of the art. We keep reinventing, we keep deploying things in real time. We deploy to our platform every day repeatedly all the time. And it's that continuous deployment that allows us to continue testing things in flight, rolling things out that change new features, better ways of doing deployments, safer ways of doing deployments. >>All of that happens behind the scenes. And like we had mentioned earlier, Kubernetes, I mean that, that allows us to get that done. We couldn't do it without having that platform as a, as a base layer for us to then put our software on. So we, we iterate quickly. When you're on the, the Influx cloud platform, you really are able to, to take advantage of new features immediately. We roll things out every day and as those things go into production, you have, you have the ability to, to use them. And so in the end we want you to focus on getting actual insights from your data instead of running infrastructure, you know, let, let us do that for you. So, >>And that makes sense, but so is the, is the, are the innovations that we're talking about in the evolution of Influx db, do, do you see that as sort of a natural evolution for existing customers? I, is it, I'm sure the answer is both, but is it opening up new territory for customers? Can you add some color to that? >>Yeah, it really is it, it's a little bit of both. Any engineer will say, well, it depends. So cloud native technologies are, are really the hot thing. Iot, industrial iot especially, people want to just shove tons of data out there and be able to do queries immediately and they don't wanna manage infrastructure. What we've started to see are people that use the cloud service as their, their data store backbone and then they use edge computing with R OSS product to ingest data from say, multiple production lines and downsample that data, send the rest of that data off influx cloud where the heavy processing takes place. So really us being in all the different clouds and iterating on that and being in all sorts of different regions allows for people to really get out of the, the business of man trying to manage that big data, have us take care of that. And of course as we change the platform end users benefit from that immediately. And, >>And so obviously taking away a lot of the heavy lifting for the infrastructure, would you say the same thing about security, especially as you go out to IOT and the Edge? How should we be thinking about the value that you bring from a security perspective? >>Yeah, we take, we take security super seriously. It, it's built into our dna. We do a lot of work to ensure that our platform is secure, that the data we store is, is kept private. It's of course always a concern. You see in the news all the time, companies being compromised, you know, that's something that you can have an entire team working on, which we do to make sure that the data that you have, whether it's in transit, whether it's at rest, is always kept secure, is only viewable by you. You know, you look at things like software, bill of materials, if you're running this yourself, you have to go vet all sorts of different pieces of software. And we do that, you know, as we use new tools. That's something that, that's just part of our jobs to make sure that the platform that we're running it has, has fully vetted software and, and with open source especially, that's a lot of work. And so it's, it's definitely new territory. Supply chain attacks are, are definitely happening at a higher clip than they used to, but that is, that is really just part of a day in the, the life for folks like us that are, are building platforms. >>Yeah, and that's key. I mean especially when you start getting into the, the, you know, we talk about IOT and the operations technologies, the engineers running the, that infrastructure, you know, historically, as you know, Tim, they, they would air gap everything. That's how they kept it safe. But that's not feasible anymore. Everything's >>That >>Connected now, right? And so you've gotta have a partner that is again, take away that heavy lifting to r and d so you can focus on some of the other activities. Right. Give us the, the last word and the, the key takeaways from your perspective. >>Well, you know, from my perspective I see it as, as a a two lane approach with, with influx, with Anytime series data, you know, you've got a lot of stuff that you're gonna run on-prem, what you had mentioned, air gaping. Sure there's plenty of need for that, but at the end of the day, people that don't want to run big data centers, people that want torus their data to, to a company that's, that's got a full platform set up for them that they can build on, send that data over to the cloud, the cloud is not going away. I think more hybrid approach is, is where the future lives and that's what we're prepared for. >>Tim, really appreciate you coming to the program. Great stuff. Good to see you. >>Thanks very much. Appreciate it. >>Okay, in a moment I'll be back to wrap up. Today's session, you're watching The Cube. >>Are you looking for some help getting started with InfluxDB Telegraph or Flux Check >>Out Influx DB University >>Where you can find our entire catalog of free training that will help you make the most of your time series data >>Get >>Started for free@influxdbu.com. >>We'll see you in class. >>Okay, so we heard today from three experts on time series and data, how the Influx DB platform is evolving to support new ways of analyzing large data sets very efficiently and effectively in real time. And we learned that key open source components like Apache Arrow and the Rust Programming environment Data fusion par K are being leveraged to support realtime data analytics at scale. We also learned about the contributions in importance of open source software and how the Influx DB community is evolving the platform with minimal disruption to support new workloads, new use cases, and the future of realtime data analytics. Now remember these sessions, they're all available on demand. You can go to the cube.net to find those. Don't forget to check out silicon angle.com for all the news related to things enterprise and emerging tech. And you should also check out influx data.com. There you can learn about the company's products. You'll find developer resources like free courses. You could join the developer community and work with your peers to learn and solve problems. And there are plenty of other resources around use cases and customer stories on the website. This is Dave Valante. Thank you for watching Evolving Influx DB into the smart data platform, made possible by influx data and brought to you by the Cube, your leader in enterprise and emerging tech coverage.

>>This past May, The Cube in collaboration with Influx data shared with you the latest innovations in Time series databases. We talked at length about why a purpose built time series database for many use cases, was a superior alternative to general purpose databases trying to do the same thing. Now, you may, you may remember the time series data is any data that's stamped in time, and if it's stamped, it can be analyzed historically. And when we introduced the concept to the community, we talked about how in theory, those time slices could be taken, you know, every hour, every minute, every second, you know, down to the millisecond and how the world was moving toward realtime or near realtime data analysis to support physical infrastructure like sensors and other devices and IOT equipment. A time series databases have had to evolve to efficiently support realtime data in emerging use cases in iot T and other use cases. >>And to do that, new architectural innovations have to be brought to bear. As is often the case, open source software is the linchpin to those innovations. Hello and welcome to Evolving Influx DB into the smart Data platform, made possible by influx data and produced by the Cube. My name is Dave Valante and I'll be your host today. Now in this program we're going to dig pretty deep into what's happening with Time series data generally, and specifically how Influx DB is evolving to support new workloads and demands and data, and specifically around data analytics use cases in real time. Now, first we're gonna hear from Brian Gilmore, who is the director of IOT and emerging technologies at Influx Data. And we're gonna talk about the continued evolution of Influx DB and the new capabilities enabled by open source generally and specific tools. And in this program you're gonna hear a lot about things like Rust, implementation of Apache Arrow, the use of par k and tooling such as data fusion, which powering a new engine for Influx db. >>Now, these innovations, they evolve the idea of time series analysis by dramatically increasing the granularity of time series data by compressing the historical time slices, if you will, from, for example, minutes down to milliseconds. And at the same time, enabling real time analytics with an architecture that can process data much faster and much more efficiently. Now, after Brian, we're gonna hear from Anna East Dos Georgio, who is a developer advocate at In Flux Data. And we're gonna get into the why of these open source capabilities and how they contribute to the evolution of the Influx DB platform. And then we're gonna close the program with Tim Yokum, he's the director of engineering at Influx Data, and he's gonna explain how the Influx DB community actually evolved the data engine in mid-flight and which decisions went into the innovations that are coming to the market. Thank you for being here. We hope you enjoy the program. Let's get started. Okay, we're kicking things off with Brian Gilmore. He's the director of i t and emerging Technology at Influx State of Bryan. Welcome to the program. Thanks for coming on. >>Thanks Dave. Great to be here. I appreciate the time. >>Hey, explain why Influx db, you know, needs a new engine. Was there something wrong with the current engine? What's going on there? >>No, no, not at all. I mean, I think it's, for us, it's been about staying ahead of the market. I think, you know, if we think about what our customers are coming to us sort of with now, you know, related to requests like sql, you know, query support, things like that, we have to figure out a way to, to execute those for them in a way that will scale long term. And then we also, we wanna make sure we're innovating, we're sort of staying ahead of the market as well and sort of anticipating those future needs. So, you know, this is really a, a transparent change for our customers. I mean, I think we'll be adding new capabilities over time that sort of leverage this new engine, but you know, initially the customers who are using us are gonna see just great improvements in performance, you know, especially those that are working at the top end of the, of the workload scale, you know, the massive data volumes and things like that. >>Yeah, and we're gonna get into that today and the architecture and the like, but what was the catalyst for the enhancements? I mean, when and how did this all come about? >>Well, I mean, like three years ago we were primarily on premises, right? I mean, I think we had our open source, we had an enterprise product, you know, and, and sort of shifting that technology, especially the open source code base to a service basis where we were hosting it through, you know, multiple cloud providers. That was, that was, that was a long journey I guess, you know, phase one was, you know, we wanted to host enterprise for our customers, so we sort of created a service that we just managed and ran our enterprise product for them. You know, phase two of this cloud effort was to, to optimize for like multi-tenant, multi-cloud, be able to, to host it in a truly like sass manner where we could use, you know, some type of customer activity or consumption as the, the pricing vector, you know, And, and that was sort of the birth of the, of the real first influx DB cloud, you know, which has been really successful. >>We've seen, I think like 60,000 people sign up and we've got tons and tons of, of both enterprises as well as like new companies, developers, and of course a lot of home hobbyists and enthusiasts who are using out on a, on a daily basis, you know, and having that sort of big pool of, of very diverse and very customers to chat with as they're using the product, as they're giving us feedback, et cetera, has has, you know, pointed us in a really good direction in terms of making sure we're continuously improving that and then also making these big leaps as we're doing with this, with this new engine. >>Right. So you've called it a transparent change for customers, so I'm presuming it's non-disruptive, but I really wanna understand how much of a pivot this is and what, what does it take to make that shift from, you know, time series, you know, specialist to real time analytics and being able to support both? >>Yeah, I mean, it's much more of an evolution, I think, than like a shift or a pivot. You know, time series data is always gonna be fundamental and sort of the basis of the solutions that we offer our customers, and then also the ones that they're building on the sort of raw APIs of our platform themselves. You know, the time series market is one that we've worked diligently to lead. I mean, I think when it comes to like metrics, especially like sensor data and app and infrastructure metrics, if we're being honest though, I think our, our user base is well aware that the way we were architected was much more towards those sort of like backwards looking historical type analytics, which are key for troubleshooting and making sure you don't, you know, run into the same problem twice. But, you know, we had to ask ourselves like, what can we do to like better handle those queries from a performance and a, and a, you know, a time to response on the queries, and can we get that to the point where the results sets are coming back so quickly from the time of query that we can like limit that window down to minutes and then seconds. >>And now with this new engine, we're really starting to talk about a query window that could be like returning results in, in, you know, milliseconds of time since it hit the, the, the ingest queue. And that's, that's really getting to the point where as your data is available, you can use it and you can query it, you can visualize it, and you can do all those sort of magical things with it, you know? And I think getting all of that to a place where we're saying like, yes to the customer on, you know, all of the, the real time queries, the, the multiple language query support, but, you know, it was hard, but we're now at a spot where we can start introducing that to, you know, a a limited number of customers, strategic customers and strategic availability zones to start. But you know, everybody over time. >>So you're basically going from what happened to in, you can still do that obviously, but to what's happening now in the moment? >>Yeah, yeah. I mean if you think about time, it's always sort of past, right? I mean, like in the moment right now, whether you're talking about like a millisecond ago or a minute ago, you know, that's, that's pretty much right now, I think for most people, especially in these use cases where you have other sort of components of latency induced by the, by the underlying data collection, the architecture, the infrastructure, the, you know, the, the devices and you know, the sort of highly distributed nature of all of this. So yeah, I mean, getting, getting a customer or a user to be able to use the data as soon as it is available is what we're after here. >>I always thought, you know, real, I always thought of real time as before you lose the customer, but now in this context, maybe it's before the machine blows up. >>Yeah, it's, it's, I mean it is operationally or operational real time is different, you know, and that's one of the things that really triggered us to know that we were, we were heading in the right direction, is just how many sort of operational customers we have. You know, everything from like aerospace and defense. We've got companies monitoring satellites, we've got tons of industrial users, users using us as a processes storing on the plant floor, you know, and, and if we can satisfy their sort of demands for like real time historical perspective, that's awesome. I think what we're gonna do here is we're gonna start to like edge into the real time that they're used to in terms of, you know, the millisecond response times that they expect of their control systems, certainly not their, their historians and databases. >>I, is this available, these innovations to influx DB cloud customers only who can access this capability? >>Yeah. I mean commercially and today, yes. You know, I think we want to emphasize that's a, for now our goal is to get our latest and greatest and our best to everybody over time. Of course. You know, one of the things we had to do here was like we double down on sort of our, our commitment to open source and availability. So like anybody today can take a look at the, the libraries in on our GitHub and, you know, can ex inspect it and even can try to, you know, implement or execute some of it themselves in their own infrastructure. You know, we are, we're committed to bringing our sort of latest and greatest to our cloud customers first for a couple of reasons. Number one, you know, there are big workloads and they have high expectations of us. I think number two, it also gives us the opportunity to monitor a little bit more closely how it's working, how they're using it, like how the system itself is performing. >>And so just, you know, being careful, maybe a little cautious in terms of, of, of how big we go with this right away, just sort of both limits, you know, the risk of, of, you know, any issues that can come with new software rollouts. We haven't seen anything so far, but also it does give us the opportunity to have like meaningful conversations with a small group of users who are using the products, but once we get through that and they give us two thumbs up on it, it'll be like, open the gates and let everybody in. It's gonna be exciting time for the whole ecosystem. >>Yeah, that makes a lot of sense. And you can do some experimentation and, you know, using the cloud resources. Let's dig into some of the architectural and technical innovations that are gonna help deliver on this vision. What, what should we know there? >>Well, I mean, I think foundationally we built the, the new core on Rust. You know, this is a new very sort of popular systems language, you know, it's extremely efficient, but it's also built for speed and memory safety, which goes back to that us being able to like deliver it in a way that is, you know, something we can inspect very closely, but then also rely on the fact that it's going to behave well. And if it does find error conditions, I mean we, we've loved working with Go and, you know, a lot of our libraries will continue to, to be sort of implemented in Go, but you know, when it came to this particular new engine, you know, that power performance and stability rust was critical. On top of that, like, we've also integrated Apache Arrow and Apache Parque for persistence. I think for anybody who's really familiar with the nuts and bolts of our backend and our TSI and our, our time series merged Trees, this is a big break from that, you know, arrow on the sort of in MI side and then Par K in the on disk side. >>It, it allows us to, to present, you know, a unified set of APIs for those really fast real time inquiries that we talked about, as well as for very large, you know, historical sort of bulk data archives in that PARQUE format, which is also cool because there's an entire ecosystem sort of popping up around Parque in terms of the machine learning community, you know, and getting that all to work, we had to glue it together with aero flight. That's sort of what we're using as our, our RPC component. You know, it handles the orchestration and the, the transportation of the Coer data. Now we're moving to like a true Coer database model for this, this version of the engine, you know, and it removes a lot of overhead for us in terms of having to manage all that serialization, the deserialization, and, you know, to that again, like blurring that line between real time and historical data. It's, you know, it's, it's highly optimized for both streaming micro batch and then batches, but true streaming as well. >>Yeah. Again, I mean, it's funny you mentioned Rust. It is, it's been around for a long time, but it's popularity is, is you know, really starting to hit that steep part of the S-curve. And, and we're gonna dig into to more of that, but give us any, is there anything else that we should know about Bryan? Give us the last word? >>Well, I mean, I think first I'd like everybody sort of watching just to like take a look at what we're offering in terms of early access in beta programs. I mean, if, if, if you wanna participate or if you wanna work sort of in terms of early access with the, with the new engine, please reach out to the team. I'm sure you know, there's a lot of communications going out and you know, it'll be highly featured on our, our website, you know, but reach out to the team, believe it or not, like we have a lot more going on than just the new engine. And so there are also other programs, things we're, we're offering to customers in terms of the user interface, data collection and things like that. And, you know, if you're a customer of ours and you have a sales team, a commercial team that you work with, you can reach out to them and see what you can get access to because we can flip a lot of stuff on, especially in cloud through feature flags. >>But if there's something new that you wanna try out, we'd just love to hear from you. And then, you know, our goal would be that as we give you access to all of these new cool features that, you know, you would give us continuous feedback on these products and services, not only like what you need today, but then what you'll need tomorrow to, to sort of build the next versions of your business. Because you know, the whole database, the ecosystem as it expands out into to, you know, this vertically oriented stack of cloud services and enterprise databases and edge databases, you know, it's gonna be what we all make it together, not just, you know, those of us who were employed by Influx db. And then finally I would just say please, like watch in ICE in Tim's sessions, like these are two of our best and brightest, They're totally brilliant, completely pragmatic, and they are most of all customer obsessed, which is amazing. And there's no better takes, like honestly on the, the sort of technical details of this, then there's, especially when it comes to like the value that these investments will, will bring to our customers and our communities. So encourage you to, to, you know, pay more attention to them than you did to me, for sure. >>Brian Gilmore, great stuff. Really appreciate your time. Thank you. >>Yeah, thanks Dave. It was awesome. Look forward to it. >>Yeah, me too. Looking forward to see how the, the community actually applies these new innovations and goes, goes beyond just the historical into the real time really hot area. As Brian said in a moment, I'll be right back with Anna East dos Georgio to dig into the critical aspects of key open source components of the Influx DB engine, including Rust, Arrow, Parque, data fusion. Keep it right there. You don't wanna miss this >>Time series Data is everywhere. The number of sensors, systems and applications generating time series data increases every day. All these data sources producing so much data can cause analysis paralysis. Influx DB is an entire platform designed with everything you need to quickly build applications that generate value from time series data influx. DB Cloud is a serverless solution, which means you don't need to buy or manage your own servers. There's no need to worry about provisioning because you only pay for what you use. Influx DB Cloud is fully managed so you get the newest features and enhancements as they're added to the platform's code base. It also means you can spend time building solutions and delivering value to your users instead of wasting time and effort managing something else. Influx TVB Cloud offers a range of security features to protect your data, multiple layers of redundancy ensure you don't lose any data access controls ensure that only the people who should see your data can see it. >>And encryption protects your data at rest and in transit between any of our regions or cloud providers. InfluxDB uses a single API across the entire platform suite so you can build on open source, deploy to the cloud and then then easily query data in the cloud at the edge or on prem using the same scripts. And InfluxDB is schemaless automatically adjusting to changes in the shape of your data without requiring changes in your application. Logic. InfluxDB Cloud is production ready from day one. All it needs is your data and your imagination. Get started today@influxdata.com slash cloud. >>Okay, we're back. I'm Dave Valante with a Cube and you're watching evolving Influx DB into the smart data platform made possible by influx data. Anna ETOs Georgio is here, she's a developer advocate for influx data and we're gonna dig into the rationale and value contribution behind several open source technologies that Influx DB is leveraging to increase the granularity of time series analysis analysis and bring the world of data into real-time analytics and is welcome to the program. Thanks for coming on. >>Hi, thank you so much. It's a pleasure to be here. >>Oh, you're very welcome. Okay, so IX is being touted as this next gen open source core for Influx db. And my understanding is that it leverages in memory of course for speed. It's a kilo store, so it gives you a compression efficiency, it's gonna give you faster query speeds, you store files and object storage, so you got very cost effective approach. Are these the salient points on the platform? I know there are probably dozens of other features, but what are the high level value points that people should understand? >>Sure, that's a great question. So some of the main requirements that IOx is trying to achieve and some of the most impressive ones to me, the first one is that it aims to have no limits on cardinality and also allow you to write any kind of event data that you want, whether that's live tag or a field. It also wants to deliver the best in class performance on analytics queries. In addition to our already well served metrics queries, we also wanna have operator control over memory usage. So you should be able to define how much memory is used for buffering caching and query processing. Some other really important parts is the ability to have bulk data export and import super useful. Also broader ecosystem compatibility where possible we aim to use and embrace emerging standards in the data analytics ecosystem and have compatibility with things like sql, Python, and maybe even pandas in the future. >>Okay, so lot there. Now we talked to Brian about how you're using Rust and which is not a new programming language and of course we had some drama around Rust during the pandemic with the Mozilla layoffs, but the formation of the Rust Foundation really addressed any of those concerns. You got big guns like Amazon and Google and Microsoft throwing their collective weights behind it. It's really, the adoption is really starting to get steep on the S-curve. So lots of platforms, lots of adoption with rust, but why rust as an alternative to say c plus plus for example? >>Sure, that's a great question. So Russ was chosen because of his exceptional performance and reliability. So while Russ is synt tactically similar to c plus plus and it has similar performance, it also compiles to a native code like c plus plus. But unlike c plus plus, it also has much better memory safety. So memory safety is protection against bugs or security vulnerabilities that lead to excessive memory usage or memory leaks. And rust achieves this memory safety due to its like innovative type system. Additionally, it doesn't allow for dangling pointers. And dangling pointers are the main classes of errors that lead to exploitable security vulnerabilities in languages like c plus plus. So Russ like helps meet that requirement of having no limits on ality, for example, because it's, we're also using the Russ implementation of Apache Arrow and this control over memory and also Russ Russ's packaging system called crates IO offers everything that you need out of the box to have features like AY and a weight to fix race conditions, to protection against buffering overflows and to ensure thread safe async cashing structures as well. So essentially it's just like has all the control, all the fine grain control, you need to take advantage of memory and all your resources as well as possible so that you can handle those really, really high ity use cases. >>Yeah, and the more I learn about the, the new engine and, and the platform IOCs et cetera, you know, you, you see things like, you know, the old days not even to even today you do a lot of garbage collection in these, in these systems and there's an inverse, you know, impact relative to performance. So it looks like you really, you know, the community is modernizing the platform, but I wanna talk about Apache Arrow for a moment. It it's designed to address the constraints that are associated with analyzing large data sets. We, we know that, but please explain why, what, what is Arrow and and what does it bring to Influx db? >>Sure, yeah. So Arrow is a, a framework for defining in memory calmer data. And so much of the efficiency and performance of IOx comes from taking advantage of calmer data structures. And I will, if you don't mind, take a moment to kind of of illustrate why column or data structures are so valuable. Let's pretend that we are gathering field data about the temperature in our room and also maybe the temperature of our stove. And in our table we have those two temperature values as well as maybe a measurement value, timestamp value, maybe some other tag values that describe what room and what house, et cetera we're getting this data from. And so you can picture this table where we have like two rows with the two temperature values for both our room and the stove. Well usually our room temperature is regulated so those values don't change very often. >>So when you have calm oriented st calm oriented storage, essentially you take each row, each column and group it together. And so if that's the case and you're just taking temperature values from the room and a lot of those temperature values are the same, then you'll, you might be able to imagine how equal values will then enable each other and when they neighbor each other in the storage format, this provides a really perfect opportunity for cheap compression. And then this cheap compression enables high cardinality use cases. It also enables for faster scan rates. So if you wanna define like the men and max value of the temperature in the room across a thousand different points, you only have to get those a thousand different points in order to answer that question and you have those immediately available to you. But let's contrast this with a row oriented storage solution instead so that we can understand better the benefits of calmer oriented storage. >>So if you had a row oriented storage, you'd first have to look at every field like the temperature in, in the room and the temperature of the stove. You'd have to go across every tag value that maybe describes where the room is located or what model the stove is. And every timestamp you'd then have to pluck out that one temperature value that you want at that one time stamp and do that for every single row. So you're scanning across a ton more data and that's why Rowe Oriented doesn't provide the same efficiency as calmer and Apache Arrow is in memory calmer data, commoner data fit framework. So that's where a lot of the advantages come >>From. Okay. So you basically described like a traditional database, a row approach, but I've seen like a lot of traditional database say, okay, now we've got, we can handle colo format versus what you're talking about is really, you know, kind of native i, is it not as effective? Is the, is the foreman not as effective because it's largely a, a bolt on? Can you, can you like elucidate on that front? >>Yeah, it's, it's not as effective because you have more expensive compression and because you can't scan across the values as quickly. And so those are, that's pretty much the main reasons why, why RO row oriented storage isn't as efficient as calm, calmer oriented storage. Yeah. >>Got it. So let's talk about Arrow Data Fusion. What is data fusion? I know it's written in Rust, but what does it bring to the table here? >>Sure. So it's an extensible query execution framework and it uses Arrow as it's in memory format. So the way that it helps in influx DB IOCs is that okay, it's great if you can write unlimited amount of cardinality into influx Cbis, but if you don't have a query engine that can successfully query that data, then I don't know how much value it is for you. So Data fusion helps enable the, the query process and transformation of that data. It also has a PANDAS API so that you could take advantage of PANDAS data frames as well and all of the machine learning tools associated with Pandas. >>Okay. You're also leveraging Par K in the platform cause we heard a lot about Par K in the middle of the last decade cuz as a storage format to improve on Hadoop column stores. What are you doing with Parque and why is it important? >>Sure. So parque is the column oriented durable file format. So it's important because it'll enable bulk import, bulk export, it has compatibility with Python and Pandas, so it supports a broader ecosystem. Par K files also take very little disc disc space and they're faster to scan because again, they're column oriented in particular, I think PAR K files are like 16 times cheaper than CSV files, just as kind of a point of reference. And so that's essentially a lot of the, the benefits of par k. >>Got it. Very popular. So and he's, what exactly is influx data focusing on as a committer to these projects? What is your focus? What's the value that you're bringing to the community? >>Sure. So Influx DB first has contributed a lot of different, different things to the Apache ecosystem. For example, they contribute an implementation of Apache Arrow and go and that will support clearing with flux. Also, there has been a quite a few contributions to data fusion for things like memory optimization and supportive additional SQL features like support for timestamp, arithmetic and support for exist clauses and support for memory control. So yeah, Influx has contributed a a lot to the Apache ecosystem and continues to do so. And I think kind of the idea here is that if you can improve these upstream projects and then the long term strategy here is that the more you contribute and build those up, then the more you will perpetuate that cycle of improvement and the more we will invest in our own project as well. So it's just that kind of symbiotic relationship and appreciation of the open source community. >>Yeah. Got it. You got that virtuous cycle going, the people call the flywheel. Give us your last thoughts and kind of summarize, you know, where what, what the big takeaways are from your perspective. >>So I think the big takeaway is that influx data is doing a lot of really exciting things with Influx DB IOx and I really encourage, if you are interested in learning more about the technologies that Influx is leveraging to produce IOCs, the challenges associated with it and all of the hard work questions and you just wanna learn more, then I would encourage you to go to the monthly Tech talks and community office hours and they are on every second Wednesday of the month at 8:30 AM Pacific time. There's also a community forums and a community Slack channel look for the influx DDB unders IAC channel specifically to learn more about how to join those office hours and those monthly tech tech talks as well as ask any questions they have about iacs, what to expect and what you'd like to learn more about. I as a developer advocate, I wanna answer your questions. So if there's a particular technology or stack that you wanna dive deeper into and want more explanation about how INFLUX DB leverages it to build IOCs, I will be really excited to produce content on that topic for you. >>Yeah, that's awesome. You guys have a really rich community, collaborate with your peers, solve problems, and, and you guys super responsive, so really appreciate that. All right, thank you so much Anise for explaining all this open source stuff to the audience and why it's important to the future of data. >>Thank you. I really appreciate it. >>All right, you're very welcome. Okay, stay right there and in a moment I'll be back with Tim Yoakum, he's the director of engineering for Influx Data and we're gonna talk about how you update a SAS engine while the plane is flying at 30,000 feet. You don't wanna miss this. >>I'm really glad that we went with InfluxDB Cloud for our hosting because it has saved us a ton of time. It's helped us move faster, it's saved us money. And also InfluxDB has good support. My name's Alex Nada. I am CTO at Noble nine. Noble Nine is a platform to measure and manage service level objectives, which is a great way of measuring the reliability of your systems. You can essentially think of an slo, the product we're providing to our customers as a bunch of time series. So we need a way to store that data and the corresponding time series that are related to those. The main reason that we settled on InfluxDB as we were shopping around is that InfluxDB has a very flexible query language and as a general purpose time series database, it basically had the set of features we were looking for. >>As our platform has grown, we found InfluxDB Cloud to be a really scalable solution. We can quickly iterate on new features and functionality because Influx Cloud is entirely managed, it probably saved us at least a full additional person on our team. We also have the option of running InfluxDB Enterprise, which gives us the ability to even host off the cloud or in a private cloud if that's preferred by a customer. Influx data has been really flexible in adapting to the hosting requirements that we have. They listened to the challenges we were facing and they helped us solve it. As we've continued to grow, I'm really happy we have influx data by our side. >>Okay, we're back with Tim Yokum, who is the director of engineering at Influx Data. Tim, welcome. Good to see you. >>Good to see you. Thanks for having me. >>You're really welcome. Listen, we've been covering open source software in the cube for more than a decade, and we've kind of watched the innovation from the big data ecosystem. The cloud has been being built out on open source, mobile, social platforms, key databases, and of course influx DB and influx data has been a big consumer and contributor of open source software. So my question to you is, where have you seen the biggest bang for the buck from open source software? >>So yeah, you know, influx really, we thrive at the intersection of commercial services and open, so open source software. So OSS keeps us on the cutting edge. We benefit from OSS in delivering our own service from our core storage engine technologies to web services temping engines. Our, our team stays lean and focused because we build on proven tools. We really build on the shoulders of giants and like you've mentioned, even better, we contribute a lot back to the projects that we use as well as our own product influx db. >>You know, but I gotta ask you, Tim, because one of the challenge that that we've seen in particular, you saw this in the heyday of Hadoop, the, the innovations come so fast and furious and as a software company you gotta place bets, you gotta, you know, commit people and sometimes those bets can be risky and not pay off well, how have you managed this challenge? >>Oh, it moves fast. Yeah, that, that's a benefit though because it, the community moves so quickly that today's hot technology can be tomorrow's dinosaur. And what we, what we tend to do is, is we fail fast and fail often. We try a lot of things. You know, you look at Kubernetes for example, that ecosystem is driven by thousands of intelligent developers, engineers, builders, they're adding value every day. So we have to really keep up with that. And as the stack changes, we, we try different technologies, we try different methods, and at the end of the day, we come up with a better platform as a result of just the constant change in the environment. It is a challenge for us, but it's, it's something that we just do every day. >>So we have a survey partner down in New York City called Enterprise Technology Research etr, and they do these quarterly surveys of about 1500 CIOs, IT practitioners, and they really have a good pulse on what's happening with spending. And the data shows that containers generally, but specifically Kubernetes is one of the areas that has kind of, it's been off the charts and seen the most significant adoption and velocity particularly, you know, along with cloud. But, but really Kubernetes is just, you know, still up until the right consistently even with, you know, the macro headwinds and all, all of the stuff that we're sick of talking about. But, so what are you doing with Kubernetes in the platform? >>Yeah, it, it's really central to our ability to run the product. When we first started out, we were just on AWS and, and the way we were running was, was a little bit like containers junior. Now we're running Kubernetes everywhere at aws, Azure, Google Cloud. It allows us to have a consistent experience across three different cloud providers and we can manage that in code so our developers can focus on delivering services, not trying to learn the intricacies of Amazon, Azure, and Google and figure out how to deliver services on those three clouds with all of their differences. >>Just to follow up on that, is it, no. So I presume it's sounds like there's a PAs layer there to allow you guys to have a consistent experience across clouds and out to the edge, you know, wherever is that, is that correct? >>Yeah, so we've basically built more or less platform engineering, This is the new hot phrase, you know, it, it's, Kubernetes has made a lot of things easy for us because we've built a platform that our developers can lean on and they only have to learn one way of deploying their application, managing their application. And so that, that just gets all of the underlying infrastructure out of the way and, and lets them focus on delivering influx cloud. >>Yeah, and I know I'm taking a little bit of a tangent, but is that, that, I'll call it a PAs layer if I can use that term. Is that, are there specific attributes to Influx db or is it kind of just generally off the shelf paths? You know, are there, is, is there any purpose built capability there that, that is, is value add or is it pretty much generic? >>So we really build, we, we look at things through, with a build versus buy through a, a build versus by lens. Some things we want to leverage cloud provider services, for instance, Postgres databases for metadata, perhaps we'll get that off of our plate, let someone else run that. We're going to deploy a platform that our engineers can, can deliver on that has consistency that is, is all generated from code that we can as a, as an SRE group, as an ops team, that we can manage with very few people really, and we can stamp out clusters across multiple regions and in no time. >>So how, so sometimes you build, sometimes you buy it. How do you make those decisions and and what does that mean for the, for the platform and for customers? >>Yeah, so what we're doing is, it's like everybody else will do, we're we're looking for trade offs that make sense. You know, we really want to protect our customers data. So we look for services that support our own software with the most uptime, reliability, and durability we can get. Some things are just going to be easier to have a cloud provider take care of on our behalf. We make that transparent for our own team. And of course for customers you don't even see that, but we don't want to try to reinvent the wheel, like I had mentioned with SQL data stores for metadata, perhaps let's build on top of what of these three large cloud providers have already perfected. And we can then focus on our platform engineering and we can have our developers then focus on the influx data, software, influx, cloud software. >>So take it to the customer level, what does it mean for them? What's the value that they're gonna get out of all these innovations that we've been been talking about today and what can they expect in the future? >>So first of all, people who use the OSS product are really gonna be at home on our cloud platform. You can run it on your desktop machine, on a single server, what have you, but then you want to scale up. We have some 270 terabytes of data across, over 4 billion series keys that people have stored. So there's a proven ability to scale now in terms of the open source, open source software and how we've developed the platform. You're getting highly available high cardinality time series platform. We manage it and, and really as, as I mentioned earlier, we can keep up with the state of the art. We keep reinventing, we keep deploying things in real time. We deploy to our platform every day repeatedly all the time. And it's that continuous deployment that allows us to continue testing things in flight, rolling things out that change new features, better ways of doing deployments, safer ways of doing deployments. >>All of that happens behind the scenes. And like we had mentioned earlier, Kubernetes, I mean that, that allows us to get that done. We couldn't do it without having that platform as a, as a base layer for us to then put our software on. So we, we iterate quickly. When you're on the, the Influx cloud platform, you really are able to, to take advantage of new features immediately. We roll things out every day and as those things go into production, you have, you have the ability to, to use them. And so in the end we want you to focus on getting actual insights from your data instead of running infrastructure, you know, let, let us do that for you. So, >>And that makes sense, but so is the, is the, are the innovations that we're talking about in the evolution of Influx db, do, do you see that as sort of a natural evolution for existing customers? I, is it, I'm sure the answer is both, but is it opening up new territory for customers? Can you add some color to that? >>Yeah, it really is it, it's a little bit of both. Any engineer will say, well, it depends. So cloud native technologies are, are really the hot thing. Iot, industrial iot especially, people want to just shove tons of data out there and be able to do queries immediately and they don't wanna manage infrastructure. What we've started to see are people that use the cloud service as their, their data store backbone and then they use edge computing with R OSS product to ingest data from say, multiple production lines and downsample that data, send the rest of that data off influx cloud where the heavy processing takes place. So really us being in all the different clouds and iterating on that and being in all sorts of different regions allows for people to really get out of the, the business of man trying to manage that big data, have us take care of that. And of course as we change the platform end users benefit from that immediately. And, >>And so obviously taking away a lot of the heavy lifting for the infrastructure, would you say the same thing about security, especially as you go out to IOT and the Edge? How should we be thinking about the value that you bring from a security perspective? >>Yeah, we take, we take security super seriously. It, it's built into our dna. We do a lot of work to ensure that our platform is secure, that the data we store is, is kept private. It's of course always a concern. You see in the news all the time, companies being compromised, you know, that's something that you can have an entire team working on, which we do to make sure that the data that you have, whether it's in transit, whether it's at rest, is always kept secure, is only viewable by you. You know, you look at things like software, bill of materials, if you're running this yourself, you have to go vet all sorts of different pieces of software. And we do that, you know, as we use new tools. That's something that, that's just part of our jobs to make sure that the platform that we're running it has, has fully vetted software and, and with open source especially, that's a lot of work. And so it's, it's definitely new territory. Supply chain attacks are, are definitely happening at a higher clip than they used to, but that is, that is really just part of a day in the, the life for folks like us that are, are building platforms. >>Yeah, and that's key. I mean especially when you start getting into the, the, you know, we talk about IOT and the operations technologies, the engineers running the, that infrastructure, you know, historically, as you know, Tim, they, they would air gap everything. That's how they kept it safe. But that's not feasible anymore. Everything's >>That >>Connected now, right? And so you've gotta have a partner that is again, take away that heavy lifting to r and d so you can focus on some of the other activities. Right. Give us the, the last word and the, the key takeaways from your perspective. >>Well, you know, from my perspective I see it as, as a a two lane approach with, with influx, with Anytime series data, you know, you've got a lot of stuff that you're gonna run on-prem, what you had mentioned, air gaping. Sure there's plenty of need for that, but at the end of the day, people that don't want to run big data centers, people that want torus their data to, to a company that's, that's got a full platform set up for them that they can build on, send that data over to the cloud, the cloud is not going away. I think more hybrid approach is, is where the future lives and that's what we're prepared for. >>Tim, really appreciate you coming to the program. Great stuff. Good to see you. >>Thanks very much. Appreciate it. >>Okay, in a moment I'll be back to wrap up. Today's session, you're watching The Cube. >>Are you looking for some help getting started with InfluxDB Telegraph or Flux Check >>Out Influx DB University >>Where you can find our entire catalog of free training that will help you make the most of your time series data >>Get >>Started for free@influxdbu.com. >>We'll see you in class. >>Okay, so we heard today from three experts on time series and data, how the Influx DB platform is evolving to support new ways of analyzing large data sets very efficiently and effectively in real time. And we learned that key open source components like Apache Arrow and the Rust Programming environment Data fusion par K are being leveraged to support realtime data analytics at scale. We also learned about the contributions in importance of open source software and how the Influx DB community is evolving the platform with minimal disruption to support new workloads, new use cases, and the future of realtime data analytics. Now remember these sessions, they're all available on demand. You can go to the cube.net to find those. Don't forget to check out silicon angle.com for all the news related to things enterprise and emerging tech. And you should also check out influx data.com. There you can learn about the company's products. You'll find developer resources like free courses. You could join the developer community and work with your peers to learn and solve problems. And there are plenty of other resources around use cases and customer stories on the website. This is Dave Valante. Thank you for watching Evolving Influx DB into the smart data platform, made possible by influx data and brought to you by the Cube, your leader in enterprise and emerging tech coverage.

>>Yeah. Hello and welcome to the Cubes Presentation of Women in Tech Global Event Celebrating International Women's Day I'm John for a host of the Cube. We had a great guest in Cuba. Alumni Veranda re vice president. Commercial sales for Europe, Middle East and Africa. EMEA at AWS Amazon Web service to great to see you. Thank you for coming in all the way across the pond and the US to Palo Alto from London. >>Thank you, John. Great to see you again. I'm super excited to be part of this particularly special event. >>Well, this is a celebration of International Women's Day. It's gonna continue throughout the rest of the year, and every day is International Women's Day. But you're actually international. Your women in Tech had a great career. We talk that reinvent. Let's step back and walk through your career. Highlights to date. What have been some of the key things in your career history that you can share? >>Uh, thanks, John. It's always nice to reflect on this, you know? Look, I the way I would classify my career. First of all, it's very it's been very international. I was born and raised in India I went to study in the US It was always a dream to go do that. I did my masters in Boston University. I then worked in the U S. For a good 17 years across A number of tech, uh, tech companies in particular, started my career at McKinsey in the very early days and then moved on to work for E M. C. You'll you'll probably remember them, John. Very well, of course, There now, Del um And then I moved over to Europe. So I've spent the last 18 years here in Europe. Um, and that's been across a couple of different things. I I always classify. Half my career has been strategy, transformation, consulting, and the other half of my career is doing the real job of actually running operations. And I've been, you know, 12 15 years in the tech and telecom sector had the excitement of running Schneider Electric's business in the UK Denniston and Private Equity went back to McKinsey Boomerang, and then a W s called me, and how could I possibly refuse that? So it's been really exciting, I think the one big take away when I reflect on my career is. I've always had this Northstar about leading a business someday, and then I've sort of through my career master set of skills to be able to do that. And I think that's probably what you see. Very eclectic, very mobile, very international and cross industry. Uh, in particular. >>I love the strategy and operations comment because they're both fun, but they're different ones. Very execution, tactical operating. The business strategy is kind of figuring out the future of the 20 mile stare. You know, playing that chess match, so to speak, all great skills and impressive. But I have to ask you, what got you in the tech sector? Why technology? >>Well, so you know, in some ways I kind of fell into it, John, right? Because when I was growing up, my father was always in the tech space, so he had a business and fax machines and he was a reseller of cannon. If you remember Cannon, um, and microfilm equipment and I grew up around him, and he was a real entrepreneur. I mean, always super visionary about new things that were coming out. And so as I followed him around, I said, I kind of wanna be him. And it's a little bit about that sort of role model right early in your career. And then when I moved to the U. S. To study again, it wasn't like I thought I was gonna go to attack. I mean, I wasn't an engineer, you know. I grew up in India with economics degree. That's when women went into We didn't necessarily go into science. But when I joined McKinsey in the early days, I ended up working with, you know, the big companies of the days. You know, the IBMs, the E M. C. Is the Microsoft the oracles, etcetera. So I just then began to love, love the innovation, always being on the sort of bleeding edge. Um, and I guess it was a little bit just fascinating for me not being an engineer to learn how technology had all these applications in terms of how businesses advanced. So I guess, Yeah, that's kind of why I still think it around with it. It's interesting >>how you mentioned how you at that time you pipeline into economics, which is math. Of course. Uh, math is needed for economics, but also the big picture and This is one of the conversation we're having, Uh, this year, the breaking down the barriers for women in tech. Now there's more jobs you don't You don't need to have one pathway into into science or, you know, we're talking stem versus steam arts are super important, being creative. So the barriers to get in are being removed. I mean, if you think about the surface area for technology. So I got to ask you, what barriers do you think Stop girls and young women the most in considering a career in Tech? >>I've got to start with role models, John. Right? Because I think a number of us grew up, by the way, being the only not having the allies in the business, right? All of us, all the all the managers and hiring people are males rather than females. And the fact of the matter is, we didn't have this sort of he for she movement. And I think that's the biggest barrier is not having enough role models and positive role models in the business. I can tell you that research shows that actually, when you have female role models, you tend to hire more and actually what employees say is they feel more supportive when they have actually female managers. So I think there are lots of goodness, but we just need to accelerate how many role models we have. I think the other things I will say to you as well is, if you look at just the curriculum and the ability to get women into stem, right, I mean, we need to have colleges, universities, schools also encouraging women into stem. And you've probably heard about our programme. You know, it's something we do to encourage girls into stem. I think it's really important that teachers and others are actually encouraging girls to do math, for example, right? It's not just about science. Math is great. Logic is great, by the way. Philosophy is great. I just love what you said. I think increasingly, the EQ and EQ parts have to come together, and I think that's what women excel at. Um, so I think that's another very, very big carrier, and then the only other thing I will say is we're gonna watch the language we use, like when I think about job descriptions, they tend to be very male oriented languages we look at CVS now, if you haven't been a female in tech for a long time, your CV isn't going to show a lot of tech, is it? So for recruiters out there, look for competencies. Look for capabilities. You mentioned strategy and arts earlier. We have this leadership principles, As you know, John, really well, think big and dive deep, right? That strategy and operations. And so I think we we need to recruit for that. And we need to recruit for culture. And we need to recruit for people with ambition, an aspiration and not always Just look at 20 years of experience because you're not gonna find it. So I think those are some of the big barriers. Um, that I that I at least think, is stopping women from getting into town. But the biggest one is not enough women at the top hiring women. >>I think people want to see themselves, or at least an aspirational version of what they could be. And I think that's only gonna get better. Lots changed. A lot has happened over the years, but now, with technology in everyone's life, covid pulled forward a lot of realities. You know, the current situation in Europe where you're you are now has pulled forward a lot of realities around community, cyber, digital, our lives. And I think this opens up new positions, clearly cybersecurity. And I'm sure the job boards in every company is hiring people that didn't exist years ago, but also this new problems to solve. So the younger generation coming up, um, is gonna work on these problems, and they need to have role models. So what's your reaction to that? You know, new problems are opportunities their new so usually solved by probably the next generation. Uh, they need mentors. All this kind of works together. What's your reaction? >>Yeah, and, you know, let me pick up on something we're doing that I think is really important. I think you have to address age on the pipeline problem, you know, because they're just is a pipeline problem, you know, at the end of the day, And by that, what I mean is, we need to have more and more people with the and I'm not gonna use the word engineering or science. I'm going to use the word digital skills, right? And I think what we've we've committed to doing, John, you know, I'm very proud of this is we said we're gonna train 29 people 29 million people around this world on digital skills for free by 2025. Right, That's gonna help us get that pipeline going. The other thing we do is something called Restart where we actually do 12 weeks of training for the under, employed and under served right and underrepresented communities. And that means in 12 weeks we can get someone. And you know, this case I talk to you about this before I love it. Fast food operator to cloud, right? I mean, that's that's what I call changing the game on pipeline. But But here's the other stand. Even if the pipeline is good and we often see that the pipeline can be as much as 50% at the very early career women, by the time you get into the C suite, you're not a 50 anymore. You're less than 20%. So the other big thing John there, and this comes back to the types of roles you have an opportunities you create. We've got to pull women through the pipeline. We've really got to encourage that there are sponsors and not just mentors. I think women are sorry to say this over mentored and under sponsored. We need more people say I'm gonna open the door for you and create the opportunity I had that advantage. I hit people through my career. By the way, they were all men, right? Who actually stood out there and bang on the door and said, Okay, Tunisia is gonna go do this. And my first break I remember was having done strategy all my life when the CEO come into the room and you said, You're gonna better locks and you're gonna go run the P and L in Benelux and I almost fainted because I thought, Oh, my God, I've never run a PNR before But it's that type of risk taking that's going to be critical. And I think we've got to train our leaders and our managers to have those conversations be the sponsors, get that unconscious bias training. We all have it. Every single one of us has it. I think those are the combinations of things that are going to actually help open the door and make a see that Actually, it's not just about coding. It's actually about sales. It's about marketing. It's about product management. It's about strategy. It's about sales operations. It's about really, really thinking differently about your customers, right? And that's the thing that I think is attractive about technology. And you know what? Maybe that leads you to eventually become a coder. Or maybe not. Maybe you enter from coding, but those are all the range is available to you in technology, which is not good at advertising, >>that there's more applications than ever before. But I love your comment about over mentoring and under sponsored. Can you quickly just define the difference between those two support elements sponsoring versus, uh, mentoring sponsoring >>So mentors And by the way they can range from my son is my mentor, you know, is a great reverse mentor. By the way, I really encourage you to have the reverse mentoring going. So many mentors are people from all walks of your life, right? And you should have, you know, half a dozen of those. At least I think right who are going to be able to help you deal with situations, help coach you give you feedback respond to concerns You're having find ways for you to navigate all the stuff you need, by the way. Right? And feedback the gift we need that sponsors. It's not about the feedback. Necessarily. It's people who literally will create opportunities for you. Mentors don't necessarily do that. Sponsors will say you You know what? We got the phone. Call John and say, John, I've got the perfect person for you. You need to go speak to her. That's the big difference. John and a couple of sponsors. It's not about many, >>and that's where the change happens. I love that comment. Good call. I'm glad I could double down on that. Now that you have the environment, pipeline and working, you have the people themselves in the environment getting better sponsors and mentors, hopefully working more and more together. But once they're in the environment, they still got to be part of it. So as girls and young women and to the working sector for tech, what advice would you give them? Because now they're in the game there in the arena. So what advice would you give them? Because the environments they are now >>yeah, yeah. I mean, Gosh, John, it's you know, you've lived your career in this space. It's an exciting place to be right. Um, it's a growth opportunity. And I think that's a really important point because the more you enter sectors where there's a lot of growth and I would say hyper right growth, that's just gonna open the doors to so many more things. If you're in a place where it's all about cost cutting and restructuring, do you know what? It's super hard to really compete and have fun, right? And as we say, make history. So it's an exciting place. Today's world transformation equals digital transformation, right? So tech is the place to be, because tech is about transformation, Right? So coming in here, the one advice I would give you is Just do it because believe me, there's so much you can do, like take the risk, find someone is going to give you that entree point and get in the door right? And look, you know what's the worst that could happen? The worst that could happen is you don't like it. Fine. There's lots of other things than to go to. So my advice is, you know, don't take the mm. The really bad tips I've received in my career, right? Don't let people tell you you can't do it. You're not good enough. You don't have the experience, right? It's a male's world. You're a woman. It's all about you and not about EQ. Because that's just rubbish, Frankly, right. The top tip I was ever given was actually to take the risk and go for it. And that was my father. And then all these other sponsors I've had around the way. So that's that's the one thing I would say. The other thing I will say to you is the reason I advise it and the reason you should go for it. It's purposeful. Technology is changing our lives, you know, And we will all live to be no longer. 87 I think 100 right? And so you have the opportunity to change the course of the world by coming to technology. The vaccine deployment John was a great example, right? Without cloud, we couldn't have launch these vaccines as fast as we did. Right? Um, so I think there's a tonne of purpose. You've got to get in and then you've got to find. As I said, those sponsors, you've got to find those mentors. You've got to not worry about vertical opportunities and getting promoted. You gotta worry about horizontal opportunities, right? And doing the things that I needed to get the skills that you require, right? I also say one thing. Um, don't Don't let people tell you not to speak up, not to express your opinion. Do all of the above be authentic, Be authentic style. You will see more role models. Many, many more role models are gonna come out in tech that are going to be female role models. And actually, the men are really stepping up to the role models. And so we will be better together. And here's the big thing. We need you. We can do this without women. There's no possible way that we will be able to deliver on the absolute incredible transformation we have ahead of us without you. >>Inclusion, Diversity equity. These are force multipliers for companies. If applied properly, it's competitive advantage. And so breaking the bias. The theme this year is super super important. It sounds like common sense, but the reality is you break the bias It's not just women as men, as all of us. What can we do? Better to bring that force multiplier capabilities and competitive advantage of inclusion, diversity, equity to business. >>So the first thing I would say and my doctor used to always tell me this if it hurts, don't do it right. I would say to you just do it. Get diverse teams in place because if you have diverse teams, you have diversity of thought. You don't have to worry as much about bias because, you know, you've got the people around the table who actually represent the world. We also do something really cool. We have something called biassed busters. And so in meetings we have bias borders. People are going to, like, raise their hand and say, I'm not sure that that was really meant the way it was supposed to be, So I think that's just a nice little mechanism that we have here, Um, in a W s that helps. The other thing I would say to you is being your authentic self. You can't be a man and mentioned be women, and you're not gonna replicate somebody else because you're never gonna succeed if you do that, you know? So I would say be your authentic self all of the time, You know, we know. We know that women are sometimes labelled as aggressive when they're really not. Don't worry about it. It's not personal. I think the main thing you have to do is and I advise women all the time Is calibrate the feedback you're getting okay? Don't catastrophizing it right. Calibrate it. Taken in, you don't have to react to every feedback in the world, right? And make sure that you're also conscious of your own biases, right? So I think those are my Those are my two cents John for what they were for breaking device. I love the thing. >>Be yourself, You know, Don't take it too personal. Have some fun. That's life. That's a life lesson. Um, Final question, while I got you here, you're a great inspiration, and you're a great role model. You're running a very big business for Amazon web services. Europe, Middle East and Africa is a huge territory. It's its own thing. It's It's like you're bigger than some companies out there. Your role in your organisation. What's the hot area out there you were talking before camera. That's emerging areas that you're focused on. People are watching this young women, young ladies around the world. We're gonna look at this and say, What wave should I jump on? What's the hot things happening in in Europe? Middle Eastern Africa? >>I think the three things I would mention and I'm sure there's I'm sure, John, as we've spoken to my peers across the other gos, right, there are some similarities. The very, very hot thing right now is sustainability. Um, and you know, people are really building sustainability into their strategy. It's no longer sort of just an E S G goal in itself. It's actually very much part of changing the way they do business. So I think that's the hard part. And that's why again, I think it's a phenomenal place to be. I think the other big thing that we're absolutely talking about a lot is, and you know, this is getting even more complicated right now is just around security and cyber security and where that's going and how can we be really thinking about how we address some of these concerns that are coming out and I think there's There's something. There's a lot to be said about the way we build our infrastructure in terms of that context. So I think that's the second one. I think the third one is. People are really looking at technology to change the way businesses operate. So how does HR operate? How do you improve your employee value proposition? How do you do marketing in the next generation? How do you do finance in the next generation? So across the business is no longer the place of I t. It really is about changing the way we are as businesses and all of us becoming tech companies at the core. So the big thing there, John, is data data at the heart of everything we do data not because it's there in front of you, but data because you can actually make decisions on the back of it. So those are the things, Um, I seem to come across a lot more than anything else. >>It's always great to talk to you, your senior leader at AWS, um, inspirational to many. And thank you for taking the time to speak with us here on this great event. Women in text. Global Celebration of International Women's Day. Thank you so much for your time. >>Thank you, John. Always great to talk to you. >>We will definitely be keeping in touch More storeys to be had and we're gonna bring it to you. This is the cubes continuing presentation of women in tech. A global event celebrating International Women's Day. I'm John for your host. Thanks for watching. Yeah.

>>from around the globe. It's the Cube with digital coverage of biz ops Manifesto unveiled. Brought to you by biz ops Coalition. Hey, welcome back your body, Jeffrey here with the Cube. Welcome back to our ongoing coverage of the busy ops manifesto unveiling its been in the works for a while. But today is the day that it actually kind of come out to the to the public. And we're excited to have a real industry luminary here to talk about what's going on, Why this is important and share his perspective. And we're happy to have from Cape Cod, I believe, is Tom Davenport. He is a distinguished author on professor at Babson College. We could go on. He's got a lot of great titles and and really illuminate airy in the area of big data and analytics. Thomas, great to see you. >>Thanks, Jeff. Happy to be here with you. Great. >>So let's just jump into it, you know, and getting ready for this. I came across your LinkedIn post. I think you did earlier this summer in June and right off the bat, the first sentence just grabbed my attention. I'm always interested in new attempts to address long term issues, Uh, in how technology works within businesses. Biz ops. What did you see in biz ops? That that kind of addresses one of these really big long term problems? >>Well, yeah. The long term problem is that we've had a poor connection between business people and I t people between business objectives and the i t. Solutions that address them. This has been going on, I think, since the beginning of information technology, and sadly, it hasn't gone away. And so busy ops is new attempt to deal with that issue with a, you know, a new framework. Eventually a broad set of solutions that increase the likelihood that will actually solve a business problem with a nightie capability. >>Right. You know, it's interesting to compare it with, like, Dev ops, which I think a lot of people are probably familiar with, which was, you know, built around a agile software development and the theory that we want to embrace change that that changes okay on. We wanna be able to iterate quickly and incorporate that, and that's been happening in the software world for for 20 plus years. What's taking so long to get that to the business side because the pace of change is change on the software side. You know, that's a strategic issue in terms of execution on the business side that they need now to change priorities. And, you know, there's no P R D S and M R. D s and big giant strategic plans that sit on the shelf for five years. That's just not the way business works anymore. Took a long time to get here. >>Yeah, it did. And, you know, there have been previous attempts to make a better connection between business and i t. There was the so called strategic alignment framework that a couple of friends of mine from Boston University developed, I think more than 20 years ago. But, you know, now we have better technology for creating that linkage. And the, you know, the idea of kind of ops oriented frameworks is pretty pervasive now. So I think it's, um you know, time for another serious attempt at it, >>right? And do you think doing it this way right with the bizarre coalition, you know, getting a collection of of kind of like minded individuals and companies together and actually even having a manifesto which were making this declarative statement of principles and values. You think that's what it takes to kind of drive this, you know, kind of beyond the experiment and actually, you know, get it done and really start to see some results in, in in production in the field. >>I think certainly no one vendor organization can pull this off single handedly. It does require a number of organizations collaborating and working together. So I think a coalition is a good idea, and a manifesto is just a good way to kind of lay out. What you see is the key principles of the idea, and that makes it much easier for everybody. Toe I understand and act on. >>Yeah, I I think it's just it's really interesting having, you know, having them written down on paper and having it just be so clearly articulated both in terms of the of the values as well as as the the principles and and the values, you know. Business outcomes, matter, trust and collaboration, data driven decisions, which is the number three or four and then learn, responded pivot. It doesn't seem like those should have to be spelled out so clearly. But obviously it helps to have them there. You can stick them on the wall and kind of remember what your priorities are. But you're the data guy. You're the analytics guy. Yeah, And a big piece of this is data analytics and moving to data driven decisions. And principle number seven says, you know, today's organizations generate more data than humans can process. And informed decisions can be augmented by machine learning and artificial intelligence right up your alley. You know, you've talked a number of times on kind of the many stages of analytics. Onda. How has that's evolved over over time? You know, it is You think of analytics and machine learning driving decisions beyond supporting decisions, but actually starting to make decisions in machine time. What's that? What's that think for you? What does that make you? You know, start to think Wow, this is This is gonna be pretty significant. >>Yeah, well, you know, this has been a long term interest of mine. Um, the last generation of a I I was very interested in expert systems. And then e think more than 10 years ago, I wrote an article about automated decision making using, um, what was available then, which is rule based approaches. But, you know, this address is an issue that we've always had with analytics and ai. Um, you know, we tended Thio refer to those things as providing decision support. The problem is that if the decision maker didn't want their support, didn't want to use them in order to make a decision, they didn't provide any value. And so the nice thing about automating decisions with now contemporary ai tools is that we can ensure that data and analytics get brought into the decision without any possible disconnection. Now, I think humans still have something to add here, and we often will need to examine how that decision is being made and maybe even have the ability to override it. But in general, I think, at least for, you know, repetitive tactical decisions, um, involving a lot of data. We want most of those I think, to be at least, um, recommended, if not totally made by analgesic rhythm or an AI based system, and that, I believe would add to the quality and the precision and the accuracy of decisions. And in most organizations, >>you know, I think I think you just answered my next question before I Before I asked it. You know, we had Dr Robert Gates on the former secretary of Defense on a few years back, and we were talking about machines and machines making decisions, and he said at that time, you know, the only weapon systems that actually had an automated trigger on it, We're on the North Korean South Korea border. Um, everything else that you said had to go through some person before the final decision was made. And my question is, you know what are kind of the attributes of the decision that enable us that more easily automated? And then how do you see that kind of morphing over time both as the the data to support that as well as our comfort level, Um, enables us to turn mawr mawr actual decisions over to the machine? >>Well, yeah, I suggested we need data, and the data that we have to kind of train our models has to be high quality and current, and we need to know the outcomes of the that data. You know, most machine learning models, at least in business, are supervised, and that means we need tohave labeled outcomes in the in the training data. But you know, the pandemic that we're living through is a good illustration of the fact that the data also have to be reflective of current reality. And, you know, one of the things that were finding out quite frequently these days is that the data that we have a do not reflect you know what it's like to do business in a pandemic. I wrote a little piece about this recently with Jeff Cam at Wake Forest University. We call it Data Science Quarantined and it we interviewed somebody who said, You know, it's amazing what eight weeks of zeros will do to your demand forecast. We just don't really know what happens in a pandemic. Our models may be have to be put on the shelf for a little while and until we can develop some new ones or we can get some other guidelines into making decisions. So I think that's one of the key things with automated decision making. We have toe make sure that the data from the past and you know that's all we have, of course, is a good guide toe. You know what's happening in the present and in the future, as far as we understand it. >>Yeah, I used to joke when we started this calendar year 2020 was finally the year that we know everything with the benefit of hindsight. But it turned out 2020 the year we found out we actually know nothing and everything >>we thought we d >>o. But I wanna I wanna follow up on that because, you know, it did suddenly change everything, right? We got this light switch moment. Everybody's working from home now. We're many, many months into it, and it's going to continue for a while. I saw your interview with Bernard Marr and you had a really interesting comment that now we have to deal with this change. We don't have a lot of data and you talked about hold, fold or double down, and And I can't think of, um or, you know, kind of appropriate metaphor for driving the value of the biz ops. When now your whole portfolio strategy, um, needs to really be questioned. And, you know, you have to be really well executing on what you are holding. What you're folding and what you're doubling down with this completely new environment? >>Well, yeah, And I hope I did this in the interview. I would like to say that I came up with that term, but it actually came from a friend of mine was a senior executive at gen. Packed, and I used it mostly to talk about AI and AI applications, but I think you could You could use it much more broadly to talk about your entire sort of portfolio. Digital projects you need to think about. Well, um, given some constraints on resource is and a difficulty economy for a while. Which of our projects do we wanna keep going on Pretty much the way we were for and which ones, um, are not that necessary anymore. You see a lot of that in a I because we had so many pilots. Somebody told me, You know, we've got more pilots around here than O'Hare Airport in a I, um and then the the ones that involve double down there, even mawr Important to you, they are. You know, a lot of organizations have found this out in the pandemic on digital projects. It's more and more important for customers to be ableto interact with you digitally. And so you certainly wouldn't want toe cancel those projects or put them on hold. So you double down on them, get them done faster and better. >>Another. Another thing I came up in my research that that you quoted um, was was from Jeff. Bezos is talking about the great bulk of what we do is quietly but meaning fleeing, improving core operations. You know, I think that is so core to this concept of not AI and machine learning and kind of the general sense, which which gets way too much buzz but really applied, applied to a specific problem. And that's where you start to see the value. And, you know, the biz ops manifesto is calling it out in this particular process. But I just love to get your perspective. As you know, you speak generally about this topic all the time, but how people should really be thinking about where the applications where I can apply this technology to get direct business value. >>Yeah, well, you know, even talking about automated decisions, um, the kind of once in a lifetime decisions, uh, the ones that a G laugh. Li, the former CEO of Proctor and Gamble, used to call the big swing decisions. You only get a few of those, he said. In your tenure as CEO, those air probably not going to be the ones that you're automating in part because you don't have much data about them. Your you know, only making them a few times and in part because they really require that big picture thinking and the ability to kind of anticipate the future that the best human decision makers have. Um, but in general, I think where they I The projects that are working well are you know what I call the low hanging fruit ones? The some people even report to refer to it as boring A. I so you know, sucking data out of a contract in order to compare it Thio bill of lading for what arrived at your supply chain. Companies can save or make a lot of money with that kind of comparison. It's not the most exciting thing, but a I, as you suggest, is really good at those narrow kinds of tasks. Um, it's not so good at the at the really big Moonshots like curing cancer or, you know, figuring out well, what's the best stock or bond under all circumstances or even autonomous vehicles. We made some great progress in that area, but everybody seems to agree that they're not gonna be perfect for quite a while. And we really don't wanna be driving around on, um in that very much, unless they're, you know, good and all kinds of weather and with all kinds of pedestrian traffic. And you know that sort of thing, right? >>That's funny. Bring up contract management. I had a buddy years ago. They had a startup around contract management, and I'm like and this was way before we had the compute power today and cloud proliferation. I said, You know how How could you possibly built off around contract management? It's language. It's legalese. It's very specific. He's like Jeff. We just need to know where's the contract and when does it expire? And who's the signatory? And he built a business on those you know, very simple little facts that weren't being covered because their contracts from people's drawers and files and homes and Lord only knows so it's really interesting as you said. These kind of low hanging fruit opportunities where you could extract a lot of business value without trying to, you know, boil the ocean. >>Yeah, I mean, if you're Amazon, Jeff Bezos thinks it's important toe have some kind of billion dollar projects, and he even says it's important to have a billion dollar failure or two every year. But I think most organizations probably are better off being a little less aggressive and, you know, sticking to what a I has been doing for a long time, which is, you know, making smarter decisions based on based on data. >>Right? So, Tom, I want to shift gears one more time before before you let Ugo on on kind of a new topic for you, not really new, but you know, not not the vast majority of your publications. And that's the new way toe work, you know, as as the pandemic hit in mid March, right? And we had this light switch moment. Everybody had to work from home, and it was, you know, kind of crisis and get everybody set up. Well, you know, now we're five months, six months, seven months. A number of companies have said that people are not gonna be going back to work for a while, and so we're going to continue on this for a while, and then even when it's not what it is now, it's not gonna be what it was before. So, you know, I wonder and I know you, you tease. You're working on a a new book, you know, some of your thoughts on, you know, kind of this new way, uh, toe work and and and the human factors in this new, this new kind of reality that we're kind of evolving into, I guess, >>Yeah, this was an interest of mine. I think. Back in the nineties, I wrote an article called a co authored an article called Two Cheers for the Virtual Office. And, you know, it was just starting to emerge than some people were very excited about it. Some people were skeptical, and we said to cheers rather than three cheers because clearly there's some shortcomings and, you know, I keep seeing these pop up. It's it's great that we can work from our homes. It's great that we can accomplish most of what we need to do with a digital interface, but you know, things like innovation and creativity and certainly, um a A good, um, happy social life kind of requires some face to face contact every now and then. And so you know, I think we'll go back to an environment where there is some of that. Um, will have, um, time when people convene in one place so they can get to know each other face to face and learn from each other that way. And most of the time, I think it's a huge waste of people's time to commute into the office every day and toe jump on airplanes. Thio, Thio, give every little sales call or give every little presentation we just have to really narrow down. What are the circumstances, where face to face contact really matters and when can we get by with digital? You know, I think one of the things in my current work on finding is that even when you have AI based decision making, you really need a good platform in which that all takes place. So in addition to these virtual platforms, we need to develop platforms that kind of structure the workflow for us and tell us what we should be doing next and make automated decisions when necessary. And I think that ultimately is a big part of biz ops as well. It's not just the intelligence of an AI system, but it's the flow of work that kind of keeps things moving smoothly throughout your organization. Yeah, >>I think such such a huge opportunity as you just said, because I forget the stats on how often were interrupted with notifications between email text, slack asana, salesforce The list goes on and on. So, you know, t put an AI layer between the person and all these systems that are begging for attention. And you've written a you know, a book on the attention economy, which is a whole nother topic will say for another day. You know, it really begs. It really begs for some assistance because, you know, you just can't get him picked, you know, every two minutes and really get quality work done. It's just not it's just not realistic. And you know what? I don't think that's the future that we're looking for. >>Great. Totally. Alright, >>Tom. Well, thank you so much for your time. Really enjoyed the conversation. I got to dig into the library. It's very long song. I might started the attention economy. I haven't read that one in to me. I think that's the fascinating thing in which we're living. So thank you for your time. And, uh, great to see you. >>My pleasure, Jeff. Great to be here. >>All right, take care. Alright. East, Tom. I'm Jeff. You are watching the continuing coverage of the biz ops manifesto. Unveil. Thanks for watching the Cube. We'll see you next time.

>>Hello. I'm Professor Toru Suzuki Cherif cardiovascular medicine on associate dean of the College of Life Sciences at the University of Leicester in the United Kingdom, where I'm also director of the Lester Life Sciences accelerator. I'm also honorary consultant cardiologist within our university hospitals. It's part of the national health system NHS Trust. Today, I'd like to talk to you about our Lester Clinical Data Science Initiative. Now brief background on Lester. It's university in hospitals. Lester is in the center of England. The national health system is divided depending on the countries. The United Kingdom, which is comprised of, uh, England, Scotland to the north, whales to the west and Northern Ireland is another part in a different island. But national health system of England is what will be predominantly be discussed. Today has a history of about 70 years now, owing to the fact that we're basically in the center of England. Although this is only about one hour north of London, we have a catchment of about 100 miles, which takes us from the eastern coast of England, bordering with Birmingham to the west north just south of Liverpool, Manchester and just south to the tip of London. We have one of the busiest national health system trust in the United Kingdom, with a catchment about 100 miles and one million patients a year. Our main hospital, the General Hospital, which is actually called the Royal Infirmary, which can has an accident and emergency, which means Emergency Department is that has one of the busiest emergency departments in the nation. I work at Glen Field Hospital, which is one of the main cardiovascular hospitals of the United Kingdom and Europe. Academically, the Medical School of the University of Leicester is ranked 20th in the world on Lee, behind Cambridge, Oxford Imperial College and University College London. For the UK, this is very research. Waited, uh, ranking is Therefore we are very research focused universities as well for the cardiovascular research groups, with it mainly within Glenn Field Hospital, we are ranked as the 29th Independent research institution in the world which places us. A Suffield waited within our group. As you can see those their top ranked this is regardless of cardiology, include institutes like the Broad Institute and Whitehead Institute. Mitt Welcome Trust Sanger, Howard Hughes Medical Institute, Kemble, Cold Spring Harbor and as a hospital we rank within ah in this field in a relatively competitive manner as well. Therefore, we're very research focused. Hospital is well now to give you the unique selling points of Leicester. We're we're the largest and busiest national health system trust in the United Kingdom, but we also have a very large and stable as well as ethnically diverse population. The population ranges often into three generations, which allows us to do a lot of cohort based studies which allows us for the primary and secondary care cohorts, lot of which are well characterized and focused on genomics. In the past. We also have a biomedical research center focusing on chronic diseases, which is funded by the National Institutes of Health Research, which funds clinical research the hospitals of United Kingdom on we also have a very rich regional life science cluster, including med techs and small and medium sized enterprises. Now for this, the bottom line is that I am the director of the letter site left Sciences accelerator, >>which is tasked with industrial engagement in the local national sectors but not excluding the international sectors as well. Broadly, we have academics and clinicians with interest in health care, which includes science and engineering as well as non clinical researchers. And prior to the cove it outbreak, the government announced the £450 million investment into our university hospitals, which I hope will be going forward now to give you a brief background on where the scientific strategy the United Kingdom lies. Three industrial strategy was brought out a za part of the process which involved exiting the European Union, and part of that was the life science sector deal. And among this, as you will see, there were four grand challenges that were put in place a I and data economy, future of mobility, clean growth and aging society and as a medical research institute. A lot of the focus that we have been transitioning with within my group are projects are focused on using data and analytics using artificial intelligence, but also understanding how chronic diseases evolved as part of the aging society, and therefore we will be able to address these grand challenges for the country. Additionally, the national health system also has its long term plans, which we align to. One of those is digitally enabled care and that this hope you're going mainstream over the next 10 years. And to do this, what is envision will be The clinicians will be able to access and interact with patient records and care plants wherever they are with ready access to decision support and artificial intelligence, and that this will enable predictive techniques, which include linking with clinical genomic as well as other data supports, such as image ing a new medical breakthroughs. There has been what's called the Topol Review that discusses the future of health care in the United Kingdom and preparing the health care workforce for the delivery of the digital future, which clearly discusses in the end that we would be using automated image interpretation. Is using artificial intelligence predictive analytics using artificial intelligence as mentioned in the long term plans. That is part of that. We will also be engaging natural language processing speech recognition. I'm reading the genome amusing. Genomic announced this as well. We are in what is called the Midland's. As I mentioned previously, the Midland's comprised the East Midlands, where we are as Lester, other places such as Nottingham. We're here. The West Midland involves Birmingham, and here is ah collective. We are the Midlands. Here we comprise what is called the Midlands engine on the Midland's engine focuses on transport, accelerating innovation, trading with the world as well as the ultra connected region. And therefore our work will also involve connectivity moving forward. And it's part of that. It's part of our health care plans. We hope to also enable total digital connectivity moving forward and that will allow us to embrace digital data as well as collectivity. These three key words will ah Linkous our health care systems for the future. Now, to give you a vision for the future of medicine vision that there will be a very complex data set that we will need to work on, which will involve genomics Phanom ICS image ing which will called, uh oh mix analysis. But this is just meaning that is, uh complex data sets that we need to work on. This will integrate with our clinical data Platforms are bioinformatics, and we'll also get real time information of physiology through interfaces and wearables. Important for this is that we have computing, uh, processes that will now allow this kind of complex data analysis in real time using artificial intelligence and machine learning based applications to allow visualization Analytics, which could be out, put it through various user interfaces to the clinician and others. One of the characteristics of the United Kingdom is that the NHS is that we embrace data and captured data from when most citizens have been born from the cradle toe when they die to the grave. And it's important that we were able to link this data up to understand the journey of that patient. Over time. When they come to hospital, which is secondary care data, we will get disease data when they go to their primary care general practitioner, we will be able to get early check up data is Paula's follow monitoring monitoring, but also social care data. If this could be linked, allow us to understand how aging and deterioration as well as frailty, uh, encompasses thes patients. And to do this, we have many, many numerous data sets available, including clinical letters, blood tests, more advanced tests, which is genetics and imaging, which we can possibly, um, integrate into a patient journey which will allow us to understand the digital journey of that patient. I have called this the digital twin patient cohort to do a digital simulation of patient health journeys using data integration and analytics. This is a technique that has often been used in industrial manufacturing to understand the maintenance and service points for hardware and instruments. But we would be using this to stratify predict diseases. This'll would also be monitored and refined, using wearables and other types of complex data analysis to allow for, in the end, preemptive intervention to allow paradigm shifting. How we undertake medicine at this time, which is more reactive rather than proactive as infrastructure we are presently working on putting together what's it called the Data Safe haven or trusted research environment? One which with in the clinical environment, the university hospitals and curated and data manner, which allows us to enable data mining off the databases or, I should say, the trusted research environment within the clinical environment. Hopefully, we will then be able to anonymous that to allow ah used by academics and possibly also, uh, partnering industry to do further data mining and tool development, which we could then further field test again using our real world data base of patients that will be continually, uh, updating in our system. In the cardiovascular group, we have what's called the bricks cohort, which means biomedical research. Informatics Center for Cardiovascular Science, which was done, started long time even before I joined, uh, in 2010 which has today almost captured about 10,000 patients arm or who come through to Glenn Field Hospital for various treatments or and even those who have not on. We asked for their consent to their blood for genetics, but also for blood tests, uh, genomics testing, but also image ing as well as other consent. Hable medical information s so far there about 10,000 patients and we've been trying to extract and curate their data accordingly. Again, a za reminder of what the strengths of Leicester are. We have one of the largest and busiest trust with the very large, uh, patient cohort Ah, focused dr at the university, which allows for chronic diseases such as heart disease. I just mentioned our efforts on heart disease, uh which are about 10,000 patients ongoing right now. But we would wish thio include further chronic diseases such as diabetes, respiratory diseases, renal disease and further to understand the multi modality between these diseases so that we can understand how they >>interact as well. Finally, I like to talk about the lesser life science accelerator as well. This is a new project that was funded by >>the U started this January for three years. I'm the director for this and all the groups within the College of Life Sciences that are involved with healthcare but also clinical work are involved. And through this we hope to support innovative industrial partnerships and collaborations in the region, a swells nationally and further on into internationally as well. I realized that today is a talked to um, or business and commercial oriented audience. And we would welcome interest from your companies and partners to come to Leicester toe work with us on, uh, clinical health care data and to drive our agenda forward for this so that we can enable innovative research but also product development in partnership with you moving forward. Thank you for your time.

>> Hello, everyone. I'm Khalil Ahmad, Senior Director, Architecture at S&P Global. I have been working with S&P Global for six years now. Previously, I worked for Citigroup and Prudential. Overall, I have been part of IT industry for 30 years, and most of my professional career has been within financial sector in New York City metro area. I live in New Jersey with my wife and son, Daniel Khalil. I have a Master degree in software engineering from the University of Scranton, and Master in mathematics University of Punjab, Lahore. And currently I am pursuing TRIUM global Executive MBA. A joint program from the NYU Stern, LSE and HEC Paris. So today, I'm going to talk about building multi-cluster scalable container platform, supporting on-prem hybrid and multicloud use cases, how we leverage that with an S&P Global and what was our best story. As far as the agenda is concerned, I will go over, quickly the problem statement. Then I will mention the work of our core requirements, how we get solutioning, how Docker Enterprise helped us. And at the end, I will go over the pilot deployment for a proof of concept which we leverage. So, as far as the problem statement is concerned. Containers, as you all know, in the enterprise are becoming mainstream but expertise remains limited and challenges are mounting as containers enter production. Some companies are building skills internally and someone looking for partners that can help catalyze success, and choosing more integrated solutions that accelerate deployments and simplify the container environment. To overcome the challenges, we at S&P Global started our journey a few years back, taking advantage of both options. So, first of all, we met with all the stakeholder, application team, Product Manager and we define our core requirements. What we want out of this container platform, which supports multicloud and hybrid supporting on-prem as well. So, as you see my core requirements, we decided that we need first of all a roadmap or container strategy, providing guidelines on standards and specification. Secondly, with an S&P Global, we decided to introduce Platform as a Service approach, where we bring the container platform and provide that as a service internally to our all application team and all the Product Managers. Hosting multiple application on-prem as well as in multicloud. Third requirement was that we need Linux and Windows container support. In addition to that, we would also require hosted secure image registry with role based access control and image security scanning. In addition to that, we also started DevOps journey, so we want to have a full support of CI/CD pipeline. Whatever the solution we recommend from the architecture group, it should be easily integrated to the developer workstation. And developer workstation could be Windows, Mac or Linux. Orchestration, performance and control were few other parameter which we'll want to keep in mind. And the most important, dynamic scaling of container clusters. That was something we were also want to achieve, when we introduce this Platform as a Service. So, as far as the standard specification are concerned, we turn to the Open Container Initiative, the OCI. OCI was established in June 2015 by Docker and other leaders in the technology industry. And OCI operates under Linux Foundation, and currently contains two specification, runtime specification and image specification. So, at that time, it was a no brainer, other than to just stick with OCI. So, we are following the industry standard and specifications. Now the next step was, okay, the container platform. But what would be our runtime engine? What would be orchestration? And how we support, in our on-prem as well as in the multicloud infrastructure? So, when it comes to runtime engine, we decided to go with the Docker. Which is by default, runtime engine and Kubernetes. And if I may mention, DataDog in one of their public report, they say Docker is probably the most talked about infrastructure technology for the past few years. So, sticking to Docker runtime engine was another win-win game and we saw in future not bringing any challenge or issues. When it comes to orchestration. We prefer Kubernetes but that time there was a challenge, Kubernetes did not support Windows container. So, we wanted something which worked with a Linux container, and also has the ability or to orchestrate Windows containers. So, even though long term we want to stick to Kubernetes, but we also wanted to have a Docker swarm. When it comes to on-prem and multicloud, technically you could only support as of now, technology may change in future, but as of now, you can only support if you bring your own orchestration too. So, in our case, if we have control over orchestration control and not locked in with one cloud provider, that was the ideal situation. So, with all that, research, R&D and finding, we found Docker Enterprise. Which is securely built, share and run modern applications anywhere. So, when we come across Docker Enterprise, we were pleased to see that it meets our most of the core requirements. Whether it is coming on the developer machine, to integrating their workstation, building the application. Whether it comes to sharing those application, in a secure way and collaborating with our pipeline. And the lastly, when it comes to the running. If we run in hybrid or multicloud or edge, in Kubernetes, Docker Enterprise have the support all the way. So, three area one I just call up all the Docker Enterprise, choice, flexibility and security. I'm sure there's a lot more features in Docker Enterprise as a suite. But, when we looked at these three words very quickly, simplified hybrid orchestration. Define application centric policies and boundaries. Once you define, you're all set. Then you just maintain those policies. Manage diverse application across mixed infrastructure, with secure segmentation. Then it comes to secure software supply chain. Provenance across the entire lifecycle of apps and infrastructure through enforceable policy. Consistently manage all apps and infrastructure. And lastly, when it comes to infrastructure independence. It was easily forever lift and shift, because same time, our cloud journey was in the flight. We were moving from on-prem to the cloud. So, support for lift and shift application was one of our wishlist. And Docker Enterprise did not disappoint us. It also supported both traditional and micro services apps on any infrastructure. So, here we are, Docker Enterprise. Why Docker Enterprise? Some of the items in previous slides I mentioned. But in addition to those industry-leading platform, simplifying the IT operations, for running modern application at scale, anywhere. Docker Enterprise also has developer tools. So, the integration, as I mentioned earlier was smooth. In addition to all these tools, the main two components, the Universal Control Plane and the Docker Trusted Registry, solve lot of our problems. When it comes to the orchestration, we have our own Universal Control Plane. Which under the hood, manages Kubernetes and Docker swarm both clusters. So, guess what? We have a Windows support, through Docker swarm and we have a Linux support through Kubernetes. Now that paradigm has changed, as of today, Kubernetes support Windows container. So, guess what? We are well after the UCP, because we have our own orchestration tool, and we start managing Kubernetes cluster in Linux and introduce now, Windows as well. Then comes to the Docker Trusted Registry. Integrated Security and role based access control, made a very smooth transition from our RT storage to DTR. In addition to that, binary level scanning was another good feature from the security point of view. So that, these all options and our R&D landed the Docker Enterprise is the way to go. And if we go over the Docker Enterprise, we can spin up multiple clusters on-prem and in the cloud. And we have a one centralized location to manage those clusters. >> Khalil: So, with all that, now let's talk about how what was our pilot deployment, for proof of concept. In this diagram, you can see we, on the left side is our on-prem Data Center, on the right side is AWS, US East Coast. We picked up one region three zones. And on-prem, we picked up our Data Center, one of the Data Center in the United States of America, and we started the POC. So, our Universal Control Plane had a five nodes cluster. Docker Trusted Registry, also has a five node cluster. And the both, but in our on-prem Data Center. When it comes to the worker nodes, we have started with 18 node cluster, on the Linux side and the four node cluster on the Windows side. Because the major footprint which we have was on the Linux side, and the Windows use cases were pretty small. Also, this is just a proof of concept. And in AWS, we mimic the same web worker nodes, virtual to what we have on-prem. We have a 13 nodes cluster on Linux. And we started with four node cluster of Windows container. And having the direct connect from our Data Center to AWS, which was previously existing, so we did not have any connectivity or latency issue. Now, if you see in this diagram, you have a centralized, Universal Control Plane and your trusted registry. And we were able to spin up a cluster, on-prem as well as in the cloud. And we made this happen, end to end in record time. So later, when we deploy this in production, we also added another cloud provider. So, what you see the box on the right side, we just duplicate test that box in another cloud platform. So, now other orchestration tool, managing on-prem and multicloud clusters. Now, in your use case, you may find this little, you know, more in favor of on-prem. But that fit in our use case. Later, we did have expanded the cluster of Universal Control Plane and DTR in the cloud as well. And the clusters have gone and hundreds and thousands of worker nodes span over two cloud providers, third being discussed. And this solution has been working so far, very good. We did not see any downtime, not a single instance. And we were able to provide multicloud platform, container Platform as a Service for our S&P Global. Thank you for your time. If any questions, I have put my LinkedIn and Twitter account holder, you're welcome to ask any question

>>from the Cube Studios in Palo Alto and Boston, connecting with thought leaders >>all around the world. >>This is a cube conversation. Hi, and welcome to a special production of the Cube. We're talking to the Amazon Web services, public sector, their partner awards program. I'm your host stew minimum, and we're digging in on education is one of the sectors. Of course, public sector looks at non profits. It looks at the government sectors. Education, Of course, when we talk about remote learning is such a huge, important topic, especially right now in 2020 with a global pandemic so happy to welcome to the program. We have two guests. First of all, we're representing the award winning company Mohammad. He is the co founder and senior vice president of architecture and engineering with Lumen and joining his one of his customers, Damien Doyle, who is the associate vice president of Enterprise Infrastructure Solutions at the University of Maryland, Baltimore County, or UMBC. As it's known, gentlemen, thanks so much for joining us. >>Thank you. Thanks for having us. >>Alright. First of all, Mohammed, congratulations. As I said in my intro, you know, such an important topic and I have two Children that are, you know, dealing with remote learning have lots of friends that were in higher education and, you know, in the technology space. So your company is the 2020 AWS Public Sector Award winner for best remote learning. I'm sure there is a space that has a lot of competition on. Of course, leveraging public cloud is a great way to be able to ramp this sort of thing up rather fast. Give us a little bit. You know, you are the co founder. So would love to hear a little bit of the origin story, your background and Ellis about what differentiates the looming >>sure loom in we provide ah manage products and services around end user compute with a focus on education for providing access to applications and other technology. Resource is, of course, content course applications in the public cloud, so that users are able to use, you know, whatever device they have wherever they are, um so and have access to those applications that are required for completing that force work they could be in, you know, in at home, in their dorms, at a corner coffee shop on the side of a mountain in the Middle East wherever they may be. But leveling that playing fears playing field so that they could access, um, have access to any of the demanding applications on any device is what we're You know, What our goal is is to make sure that we're not having technology be a barrier to their learning. >>Fantastic. Damien, If if we could turn to you, then atyou NBC, maybe if you could give our audience Ah, thumbnail of you know, the university and I have some idea of the challenge that was put in front of you when you talk about the learning. But maybe you could give us a little bit of the pre cove it and, uh, you know what? What you were faced in and what you were looking at when it came to dealing with the current situation. >>Sure be happy to So where you? NBC is a mid sized public institution. We're sort of suburban, about 14,000 students, and we have undergrad, graduate and doctoral programs, and we have a heavy focus on a lot of the stem disciplines. And so pre cove, it very based in collaborative environments, active learning but but hands on. So a lot of our programs really do have a lot of that. We leverage technology very heavily, even if it's in whether it's an engineering biology, any of those kinds of programs. Uh huh. As you said that the challenge became how do you very quickly pivot into an entirely online model when you sort of scatter shot all of your students and you don't really have a great sense of what they're gonna have access to and, um, and the abilities and connectivity they're gonna have. So this this kind of thing was really critical for us as we made that transition. >>Excellent. Mohammed, Were you working with you, NBC before the current move toe Go, go remote. Give us a little bit about the relationship and how that started. >>I believe, actually that the pandemic was the impetus to kind of drive this forward. Damien and his team reached out to loom in looking for a solution that would allow them to kind of have students access the applications that they normally would have access to in their physical computer labs. But with ah the change and not having to access those labs anymore needed a remote learning solution. A remote access solution for being able to access those high compute high graphics processing or memory intensive applications through the cloud. Taking into account the fact that you know, students won't have you know, that the highest end computer laptop, you know, they probably be working on a chromebook or a lower and machine, but need that compute power on. And then we had to kind of provide a solution pretty quickly because it was, you know, schools were shutting down, essentially physically started shutting down and needing to continue on with their coursework. Coursework? >>Yeah, Dave and I like to understand from your side. Can you share with us a little bit that time frames, you know, how fast did you go from? Oh, my gosh, We need this. We need proposals. We need to roll this out, and we need to have students. Ah, in teachers back up and running. >>Well, you know, I think the one thing from our side we had already known of element and we've been looking at that pre cove it. We knew we needed a product that that provided us this kind of agility and really gave the students some better access to the computing tools that they need it. So once we identify that, the thing that was amazing to me is is we moved from our existing system over to production illumination. It was about 2.5 weeks sort of start to finish and, you know, to get all the images to get all the technology running tested and everything up and running in 2.5 weeks for a full solution for a campus is was pretty amazing. And that was one of the real benefits we saw was going to the cloud. We also looked at this outside of code as something that really provided a major benefit to the students so that they could work from anywhere at any time rather than be sort of tethered to that physical lab. >>Well, I'm glad you raised that. So if you could Damien a little bit, you know, help us understand. How much are you using A cloud before? And it sounds like you believe that, you know, in the you know, I guess if we say postcode world, you would probably have some hybrid model. Would that be fair to say, >>Yeah, I think before we did have a different solution that was still cloud based. It was part of our business continuity. So we still had some semblance of virtual computing solution in the cloud. But it wasn't that extensive. And a lot of our individual programs chemical engineering, geography and others were using physical labs that the students would sort of scheduled times and be able to work in as part of their coursework. Uh, coming out of this, we fully expect if, if we're going on extended period of time where students are able to access these materials and these demanding software packages at any time from any kind of device coming out of cove it they're not gonna want to go back to that model where they're asking, you know, they have to get permission and go in and limited hours into a physical lab and sit there. This is going to be the expectation going forward is that they have this kind of access and this kind of flexibility from now. >>Yeah, this is I mean, they've gotten a taste essentially, and so, you know, they they see how easy it is to complete their coursework without actually having to trek across campus into a lab and kind of fight with the population to find a seat. This basically will become an expectation of an offering. >>Mohammed, what I'd love if you could drill in a little bit for us there, Architecturally speaking, of course, the cloud is built to be able to scale and move fast. So if you need capacity and need to scale up fast, that's great if in the future you still want to leverage the solution. But you can scale down, that should be possible. So maybe give us a little bit of you know how aws arc. It actually supports what you're doing and, you know, just from a pricing solution standpoint, how you'll be able to support the customer in today's environment. And however that path goes down the road, you'll be able to support that, >>right? I mean, so, you know, with the AWS cloud, we're able to, as you said, scale up or down as demand is needed. But we we've taken that even a little bit further where we're scaling based off of, um, students scheduling. So if we've got, of course, that we know that is running from 10 AM to 11 AM Your prior to that core starting will scale the environment up so that it's available for those students. If it's not, you know, more of, ah, in course, lab session, um, and then spin things back down after the course is done so that we don't have that those many, many machines sitting there running and burning the hours and running up the bill. You know, physical environment. You know, once you've installed it, it's there. It's always running. You cannot do that. But with the power of the cloud, we're able to go up and down. We're able to take things. Uh, you know, scale things down off hours. If we look at the patterns for a student usage, you know, off hours overnight take things down because you don't need those machines sitting there running, running all the time. >>And this is one of the biggest differentiators so many times in higher ed. We struggle to have to explain to companies and vendors and providers what our needs are and how we're very. We're very different from corporations and other other verticals with the bloomin solution and the capabilities in AWS. But we're really having this Taylor to our students schedules to the class schedules, and that kind of flexibility makes the product economically viable for us. But it also means that we don't get nearly the kind of push back from the academic side because it is really Taylor to meet their needs versus just something we're kind of shoehorning in. So that makes a huge difference in terms of adoption and the way it's perceived from a marketing, marketing and acceptance standpoint. Yeah, >>Dave and I'm curious. Once you did that initial rollout, how much of an on ramp is there for both the education, the educators side as well as student side? And you talked about having some flexibility as to how and when students use thing. That sounds great, but do you have to change, you know, office hours or the hours that the staff are leveraging that I'm just trying to understand the you know, the ripple effect of what you're doing? >>No, it's It's a fair point. We have done fairly extensive training. The students picked it up very quickly. What we with students? If there is a tool that they can use to do their work more effectively. They're going to use it, whether it's something we provide or something they find through other means. But what we've done is is reached out to all of our faculty that were training, that we're teaching in our physical labs and try to work with them to understand what the solution is, how they can sort of rethink some of their classes. And a couple of our departments have actually taking a approach of rather than said everybody in a virtual lab the same way they would sit people in a physical lab. They're moving some of this team or a synchronous so that the students can serve, work at their own pace and rethink how they structure some of those classes because of the flexibility being provided. But it does take a lot of training from the instructional side and some rethinking off this. But it the end solution is something that reaches the students where they are and the way they want to learn, which is a really powerful thing. We're always trying to do >>excellent, Mohammed. I'm wondering just broadly learnings that you have from what what's been happening Obviously, I'm sure you've been quite busy and responding to things. You know, what's been the impact on your business, how as a ws been as a partner to support the needs of what you're doing. >>Well, as you can imagine, the other things that just really blown up, Um, in terms of demand and being able to again through the plant power of the cloud, just being able to scale up and rapid deployment, you know, as we talk about earlier this deployment was, you know, 2 2.5 weeks from start to finish. Being able to do that, being able to do that with AWS tools have been, um, critical and moving things forward. >>Excellent. Uh, Damien, it's a sit back to you on this. You know, obviously, if you had had, you know, more time be able to plan this out if there might be some things that you would do differently. But what have your learnings been with this? And if you've been talking to your peers, any advice that you would give, uh, you know, as you've moved through this this rapid acceleration of the move to remote >>you Certainly. I think we would have certainly done some things differently. But we have been talking about this move for three or four months ahead of Covitz. So for us it wasn't. It wasn't quite as rushed as the actual deployment wound up being. I think the big thing is having having a vendor and having a partner where you can understand all the options. So the good and bad of the cloud is there's 100 different ways to do almost anything you want to accomplish and taking the time to understand what the different features and the ramifications of how you how you deploy and how you think. Think through that for us. We deployed one way because we could do it very quickly. And then we took the rest of the semester and part of this summer to do some more thorough evaluations to really ask our constituents you like this method or do you like some of the other, possibly some of the other possibilities and see which user experience they liked more? And then we're able to work with illumination, and they've been ableto very nimble in adjusting the services to meet what we've gotten our feedback on. So I think if I had to do it again, I would have done that testing ahead of time. But that's a very minor thing. These air really sort of small tweaks to just make life a little easier. Not fundamental differences in the what we're providing. >>Yeah, I'm Damien. What? One last question if I could, um sorry. Sorry, Mohammed. Just I'm curious from the financial standpoint, you know how much you felt that you understood what costs would be in some of the levers as to what are you using in the impact there? We've seen, you know, great maturation over the last handful of years. As toe. Yeah, you know, transparency and understanding how cloud actually is build. But I'm just curious if you have any final comments on the financial piece things, seeing that, it probably wasn't something that was in your budget for the last quarter. Yeah, >>it wasn't. That's very true. But we also knew that it was essential so that what we realized was we didn't know how often a lot of our physical labs and these classes were being used. So we knew there was going to be some unknowns. We've moved to this would have to see what adoption was but be able to get the reporting out and working with Mohammed and others to really start customizing in the cloud. That's the beauty of it is we recognize we saw some really fascinating patterns where during the week people would use this sort of as you'd expect. But on the weekends it was in the evenings. Nobody, nobody is logging on Saturday or Sunday morning. But boy at eight PM there's a good bit of usage so we could tailor and do some of that off hours work and really slows things down. Having that visibility has made the economic piece much more viable and really being able to tweak the computing power with two different needs of the different classes. So it's actually been fairly easy to understand, but it was a ramp up where we have to sort of guess at first and then understand our own processes. But that's more sort of the If you don't have good data coming in, it's hard to get it. Get it out. Excellent. Mohammad, I >>want you to kind of give your lessons learned. Obviously, it's a technology space. You've been in. Ah, and it's just been an acceleration of some of the things you're working on. So lessons learned advice you would give Teoh, you know, other companies of the universities and education No facilities out there, >>Right? And, you know, this is again speaking to the power of the cloud, right? Some of that one of the biggest lessons learned here is you don't necessarily need to get it right the first time. It's name and saying was saying, You know, we went back kind of analyze what we were staying in after the initial deployment, took a look at the actual usage and kind of adjusted, based based off of that. According to that, taking and feedback from faculty members on how they were using a system in tweaking the presentation or tweaking applications on the back end for accommodating those needs. That's the power of the cloud being able to adjust on the fly. You're not. You don't have to be committed to every single bit there. Uh, and being able to change it on the fly is is just something that is kind of natural in the cloud these days. >>Excellent. Well, thank you both. So much for joining us, Damien. Thank you for joining and moving forward. Sharing your story. I wish you the best of luck going forward. And Mohammed Big. Congratulations on winning. You know, super important category. Especially here in 20. Funny congratulations to you and the team. >>Thank you. >>Yeah, Thank you. Alright, stay tuned for more coverage here from the AWS public sector is their partner awards program. I'm Stew men a man And thank you for watching the Cube. Yeah, yeah, yeah, yeah.

>>from Miami >>Beach, Florida It's the Q covering a Cronus Global Cyber >>Summit 2019. Brought to you by a Cronus. >>Welcome to the Qi. We are in Miami, Florida, for the Cronus Global Cyber Summit. 2019 John for your host of the Cube. We're here for two days of coverage around cybersecurity and the impact to the enterprise in society in a great guest here to kick off the event. Linda Babcock, professor of economics at Carnegie Mellon University, author of the book, Ask for It, and she has a new book she's working on, and we'll get into that. Thanks for joining me. Thanks for coming on. >>Really happy to be here. >>Thanks. So Carnegie Mellon. Great. Great. Uh, University. They stole a bunch of people when I was in school, in the computer science department. Very well known for that as well. Economics, math, machine learning. I was good stuff there. What's going on in Carnegie Mellon? What's new in your world? >>Well, it's just actually just a great place to be because of the focus on interdisciplinary work. You know, problems in the world don't come as disciplines. They come with multiple perspectives needed and So it's just a place where people can flourish, attack ideas from all kinds of angles. And so it's a really great >>one of the things I hear a lot about, and we cover a lot about the the skills gap. Certainly this is Maur job openings than there are jobs and interesting. A lot of the jobs that are new haven't been skilled, important in the classic university setting. So a lot of these jobs, like cybersecurity, cloud computing, Blockchain, crypto economic token economics, all kind of have a maths economic steam to him. So you know your computer science, you got economics and policy. I seem to be the key areas around from these new skills and challenges. Way faces a society which your take on all this >>Well, actually, there's a lot going on in this area at Carnegie Mellon. Actually, the economics group at Carnegie Mellon ISS is been proposing a new major that really focuses on this interface between economics, machine learning and technology. And I think it's going to train our students just for the next generation of problems that the world of tech is gonna have. So it's very exciting. >>So let's talk about your book. Ask for it. Okay. Um, it's not a new book that's been around for a while, but you give a talk here. What's what's the talking talking track here at the event? >>Yeah, so I have a couple of themes of research, and it focuses on women's Berries to advancement in organizations. And so most of the work that I did with this book and my first book, Women Don't Ask, was looking about how men and women approached negotiation differently. And kind of the bottom line is that women are what less likely to negotiate than men over all kinds of things, like pay like opportunities for advancement like the next promotion. And it really harms them in the workplace because men are always out there asking for it and organizations reward that. And so the book is was really about shedding light on this disparity and what organizations could do about it and what women can do about it themselves, how they can learn to negotiate more effectively. >>What did you learn when you were writing the book around? Some of the use cases of best practices that women were doing in the field was it. Maura aggressive style has a more collaborative. You're seeing a lot more solidarity amongst women themselves, and men are getting involved. A lot of companies are kind of talking the game summer walking, the talk. What the big findings that you've learned >>well, I'd say that the approach is that women use are a lot different than the approaches that menus. And it's because our world lets men do a lot of different things. It lets them engage in a cooperative way, lets them be very competitive. But our world has a very narrow view about what's acceptable behavior for women. I often call it a tight rope because women are kind of balancing that they need to go out and assert themselves. But they have to do it in a way that our side, a society finds acceptable, and that that tight rope constrains women and doesn't allow them to be their authentic Selves on DSO. It makes it difficult for women to navigate that. What's your >>take on the the balancing of being aggressive and the pressure companies have to, you know, keep the women population certainly pipeline in tech. We see it all the time and the whole me to thing and the pressure goes on because norms were forming, right? So is there any new data that you can share around how, with norms and for forming and what men can do? Particularly, I get this question a lot, and I always ask myself, What am I doing? Can I do something different? Because I want to be inclusive and I want to do the right thing. But sometimes I don't know what to do. >>Yeah, of course. And it's really important that men get involved in this conversation as allies and, like you said, sometimes men but don't know what to do because they feel like maybe they don't have standing to be in the conversation when it's about women and weigh all need men, his allies. If women are gonna try to reach equality, ATT's some point. But the new data really suggests negotiation may be playing a role. The work that show Sandberg lean in, But the newest work that we have shows that actually the day to day things that happen at work that's holding women back. So let me tell you about that. So what we find is if you think about your calendar and what you do all day there a task that you can classify as being promotable, that is, they're really your core job. Responsibility there noticed, rewarded. But there's glass of other things that happen in your organization that are often below the surface that are important to dio valued but actually not rewarded. And what our research finds is that men spend much more time than women at the tasks that are these promotable task that rewarded women spend much more time than men on these tasks that we call non promotable that are not rewarded. And it's really holding women back. And how men can help is that the reason that women are doing these tasks is because everyone is asking them to do these tasks. And so what men can do is start asking men to do some of these things that are important but yet not rewarded because the portfolio's now are really out of balance and women are really shouldering the burden of these tasks disproportionately. >>So get on the wave of the promotional off the promotional oriented things that Maura and the man can come and pick up the slack on some of the things that were delegated to the women because they could order the kitchen food or whatever >>or help others with their work. Someone has to hire the summer intern. Someone has to organize events. Someone has to resolve underlying conflicts. Those are all really important things. Women get tasked with them, and that really doesn't allow them to focus on their core job responsibilities. And so men can step up to the blade, stop, do it, start doing their fair share of that work, and really then allow women to reach their full >>potential. I've been thinking a lot about this lately around how collaboration software, how collaborative teams. You started to see the big successful coming like Amazon to pizza team concept. Smaller teams, Team Orient. If you're doing it, you're in a teen. These things go. You've given you get so I think it's probably a better environment. Is that happening or no? It's >>unclear how teams kind of shake out for women in this setting, because there's actually some research that shows when a team produces an output and the supervisor trying to figure out, like who really made the output? Who was the valued player on the team. They often overvalue the contributions of men and undervalued the contributions of women. So actually, team projects can be problematic if women don't get their fair share of >>bias. Is everywhere >>biases everywhere. And you know it's not that people are trying discriminate against women. It's just that it's a subconscious, implicit bias and so affects our judgments in ways that we don't even realize. >>It's actually probably amplifies it. You know, the game are gaining a lot of things on digital indigenous communities. We see a lot where people are hiding behind their avatars. Yeah, that's also pretty bad environment. So we've been doing a lot of thinking and reporting around communities and data. I want to get your thoughts is I never really probed at this. But is there any economic incentives? And after you're an economics professor, you seeing things like crypto economics and tokens and all kinds of new things is a potential path towards creating an incentive system that's cutting edge what's progressive thinking around any kind of incentive systems for organizations or individuals. >>Well, when you think about incentives and maybe an economist, I think about those a lot, and I emerged that with my work on various to women's advancement, I think incentives is one area that you can actually play a big role. And that is that Organizational leaders should be incentive fied incentivized to see that they have equal advancement for their male and female employees in their workforce. Because if they don't it means they're losing out on this potential that women have, that they aren't able to fully be productive. And so that's, I think, the place. I think that incentives can really be important, >>a great leader and he said, and I'm quoting him. But I feel the same way says. Our incentive is business. Get a better outcome with them. We include women, give data, goes Yeah, we make software and have people that use our software with women I don't wanna have. So I'm like, Oh, that makes a lot of sense. Biases should be in there. Four Women for women by women for women >>and women spend more money as consumers than men. And so having women on teams allows them to see perspectives that men may not see, and so it can really add two new innovative thinking that hadn't been there before by including women. >>Well, I'm excited that this there's a little bit of movement in tech we're starting to see, certainly in venture capital, starting to see a lot more when you come into the board room work to do. But I think there's a nice sign that there's more jobs that are computer related that aren't just coding. That's male dominant pretty much now and still still is for a while. But there's a lot more skills, all kinds of range now in computer science. It's interesting. How is that affecting some of the new pipeline ing? >>Yeah, well, I think the good news is that there are is increasing levels of women's attainment in stem fields. And so there are more and more female workers entering the labor market today. Way just have to make sure that those workers are valued and feel included when they do doing tech companies. Otherwise they will leave because what happens unfortunately, sometimes in tech is it doesn't feel inclusive for women. And the quick rate for women in tech is over over twice the rate for men, and some of the reasons are is they're not feeling valued in their positions. They're not seeing their advancement. And so with this new wave of female workers, we have to make sure that those workplaces are ready to accept them and include them. >>That's great. Well, ask for it is a great book. I went through it and it's great handbook. I learned a lot. It really is a handbook around. Just standing up and taken what you can. You got some new, but you got a new book you're working on. What's that gonna look like? What if some of the themes in the new book >>Yeah. So the new book is on these promotable tasks, and the way I like to think about it is there's so much attention toe work, life balance, you know? How do you manage both of those with your career, your family? How does that work? But our work actually focuses on work, work, balance, and what remains is paying attention to the things that you do at work. Making sure that those things that you're doing are the things that are most valuable for your employer and are gonna be most valuable for your career. So it's a really different focus on the day to day ways that you spend your time at work and how that can propel women to the next level. >>That's awesome, Linda. Thanks for coming. I appreciate it. What do you think of the event here? Cronies? Global cyber security summit. >>Well, I got to say it's not my typical event, but I'm having a good time learning more about what's happening in the tech industry today. >>Cyber protection, Certainly a cutting edge issue. And certainly on the East Coast in Washington D certainly with national defense and all kinds of things happening, Ransomware is a big topic that kicked around here absolutely getting taken out like, Oh, my God. Yeah. Bitcoin in return for taking your systems out, >>all kinds of new stuff to add to my tool kit. >>Great to have you on. Thanks for your insight. Thanks for sharing. Appreciate it. I'm John for here at the Cube. We're here in Miami Beach for the Cronus Cyber Protection Conference. Thank you for watching

>> from Bahrain. It's the Q recovery AWS Public sector Bahrain brought to you by Amazon Web service is >> welcome to the cues conversation here. You're in Bahrain for Amazon Webster, is this summit our second summit? Um, here. Big news. Amazon Web services announced the availability of the region in the Middle East. I'm here with the chief of Public Sector Theresa Cross and vice President of Worldwide Public Sector. This is a huge milestone. This event one just in terms of the event. The interest across multiple countries in the region. Yes. And you have a new region with multiple availability zones? Yes, up and running. Congratulations. >> Hey, we launched the confetti today and yes, we're open for business and we do. It's a hyper scale region with three available the zones and lots of activity already here in the delays. But it really is a substantial kind of milestone because we started this sometime back in the Middle East, was one of the top regions around the world requested by our partners and customers. And now here we are. >> We've been talking with you for many, many years and I love interviewing you, but this one to me feels like it's not the weight off your shoulders. It's you're at the start line of another marathon. You've achieved so much with this because what's the first thing about Bart Rainey? We've reported on this on Select Angle and our other sites is that you get a lot of work here, is not just turning on a region. There's a lot of government commitment cloud first, full modernization, fintech banking systems, a full re platforming of a government and society and Amazons powering a lot of it and causing a lot of economic growth. So this is a big deal. >> It really is a big deal because, like you said, it really is about digital transformation here. And when I met the crown Prince in 2014 we had this conversation about really creating the economy here in a different way because Bob terrain itself, it's not oil rich country, but a smaller country with lots and lots of tourism. But in this region, while we haven't based here in Bahrain, this is truly a Middle East GCC region and but But part of that, the reason to start it here in my reign was that they really did take a lead in government transformation. As you heard them say, they're going all in shake Some on today talked about government is moving really fast, and they actually did the hard work to think about their telecommunications industry, their government regulations. They started with cloud first, and then they created all the write regulations to make this happen. So it is kind of phenomenal how quickly, in some ways, you know, feel slower than we'd like, But it's really moving quite fast. >> It's pretty fast. You should get a lot of kudos for that. I think you will. But I think to me what's interesting. The news here is that there is a balance between regulation and innovation going on, and regulation can be hampering innovation, some cases and not enough regulation. You have a Facebook situation or >> right so >> it's a balance. These guys have done it right. But to me, the tell sign is the fintech community, >> because that's where >> the money is. The central bank and then the ABC bank are all talking about a pea eye's all in with Amazon that's gonna create an ecosystem for innovation. Startups, et cetera. >> It totally isn't you heard Thean Vivid Jewel from ABC Bank today talk about their platform. What they're doing with clouds and the reason they chose a DBS was because we had this region of Bob Terrain, and they wanted to move quickly in. The regulations now have been updated in a way that actually allows them to do their banking applications in the lab. There's also a startup accelerator here, Fintech May, and they're doing a tenant work with new types of financial applications. So it's so exciting to see this kind of happening than the lace for I think a lot of people thought it would be much slower. We have a ways to go. It's still day one, for sure, but all the building blocks are getting there in the right place to really make this happen. >> You know, 80. Jessie's quoting the announcement you guys had just a couple weeks ago. Laura Angel And in July, the clouds of chance unlocked digital transmission. Middle East, says Andy chassis. Obviously unlocking is a key word because now you have customers from startups to large enterprises and ecosystem of a P M party. So the Ap N Group is here. Yes, So you have global I SUV's here and knew I s V's. You got the government and the education and to me, the news of the show. To me at least maybe it's not the big news, but is that you guys? They're offering a computer like a cloud computing degree. Yeah, for the first time about that news, >> you are right in terms of kind of every sector's picking at, but like in most places around the world, this is not unique. We need skills, and we've got to make sure that we're teaching the skills, working backwards from what the employer needs, like a TVs. So what? We've been here. We announced today we're launching our first cloud computing degree at the university of our terrain, and they're kind of thing. That's really unusual, John. They're going to do a phase one where they offer a cloud certification starting in early 2021 every program at the University of Bahrain, Whether you're in finance or banking, or business or health care or law, you can do this cloud computing certification, which gets you going and helps you understand how you last cloud in your business and then in the fall will be announcing the four year starting, the four year cloud computing degree, and that is in conjunction with our A DBS Educate program. And it will be all the right cloud skills that are needed to be successful. >> Talk about the demographics in this country because one of the things that's coming up is when I talk people in the doorways and it's a chance to talk to some local folks last night that that all in an Amazon, the theme is this. This younger generation yes, is here, and they have different expectations. They all want to work hard. They don't want to just sit back on their laurels and rest on their on their location. Here. They want to build companies they want to change. This is a key factor in the bottle rain modernization. Is that >> Yeah, generation well, all across the Middle East. The thing that's unique about the mill aces, the very young population you had millions of gamers across the Middle East as an example that comic con and Saudi like two years ago on that was one of the most popular things was fortnight. As soon as the region got at all the different gaming started taking place. But we want to create a culture of builders here, and the way you do that is what you said, John putting it into their hands, allowing these young people have the tools create a startup became entrepreneur, but they need to have access to these tools. And sometimes capital is often not that easy to get. So they want to make sure that the capital that they're given or that they have, whether it's bootstrap capital or venture capital, fending or whatever friends and family, they want to make sure that they can use that capital to the greatest advantage to build that company out. And I truly believe that this is gonna help them having an eight of us cloud region. I mean, you saw. Today we have 36 companies that launched their offering in the region on the day we actually announced so that they had specific offerings for the Middle East, which pretty exciting. I mean, that's a lot on day one. >> I mean, it's still day. One of you guys always say, but literally day one they were launching Yeah, I wanted to comment if you could just share some insights. I know, Um, your passion for, you know, entrepreneurship. You guys are also some skill development investing a lot of women in tech power panel this morning, there's major change going on. You guys were providing a lot of incentives, a lot of mentoring, this internships in conjunction with by rain. There's a lot of good things. Share some of the new things that you're working on, maybe deals you're talking about doing or >> way announced Thio kind of new things today. One is we have our we partake program, which I'm, of course, super passionate about. And that is about preventing tech learning and skills to women and underserved in representative communities. So we announced three other training programs here across the Middle East time. So those were put up today and you'll continue to see its role more and more of those out. And the other thing we did yesterday we announced a internship program with the minister of Youth here in Bahrain. That was shaped Nassir, who's a very famous He's that King san, and he's a very famous sportsmen. He does. He just won the Ironman Ironman and 2016. It was the world champion. He does endurance horse racing, so he's a He's a someone that the youth look at to here, and so he's doing all these programs. So we announced a partnership that were the first group doing the internship with this youth program, and so we're very excited. We're going to start that small and scale it, but we want to get these young people quickly and kind of get them excited. But here, what they focus on it is underrepresented communities. So it fits so nicely in with what we're doing with our attack. So you have both Oliver training our over 400 online courses that we offer with a dubious education academy. Now degree now our internship program and we protect. So, John, we're just getting going. I'm not saying that this is all will offer, but these are the things that were getting going with, and we need to make sure we also Taylor things like this Ministry of Youth program and sports at to the region in terms of water, their local needs, and we'll make sure that we're always looking >> at the entrance. Just just get him some great experience. Yes, so they can earn and feel good about themselves. This is kind of a key, exactly thing not just getting an internship, >> and it's, I think, locally it will be about teaching them to do that, disagree and commit really have that backbone to build that company and ask all those hard questions. So we're really going to try to indoctrinate them into the Amazon a TVs culture so we can help them be entrepreneurs like we are every day. >> And you got the data center, you got the city, the centers, you get the regions up and running, and architect, it perfectly suits up with people in it. Are you going to staff that with local talent, or is it gonna be Amazonian is coming in? What's the makeup of staff gonna be? What's the >> story? I mean, our goal is to hire as many local talent. We everywhere we go around the world. We want to get local talent because you can't yet if we did, First of all, we don't have enough people in our headquarters to bring folks in here, so we really have to train and educate. But locally, we have an office open here by rain. We haven't Office Open and Dubai and one down Saudi, and that is local talent. I mean, we are trying to use as much local talent and will continue to create that. And that's kind of the point. Jonas talking about the degree working backwards from what the employer needs. We want to give input because we think we also are getting good. Yeah, so we need to get the top. But we need those other individual employers that keep telling us we need more cloud skills to give that input. But, yeah, >> we're going to get a degree, migrate them into the job >> market, right quick like >> and educates. Been doing great. I learned a lot. This is a whole opportunity for people who want to make money, get a job. Amazon Web service is >> It's a place you could either work for us. Work for someone now, like even the government has a >> virus. Make a person tomorrow >> there. Yet >> we had one, >> but the point of being a builder, what we're seeing more and more John are these companies and government entities are building their talent internally. They're not outsourcing everything anymore, and the whole culture at being a builder, not just outsourcing all that. And that's what eight of us really helps all these entities. D'oh is moved quicker by having kind of some in house talent and not outsourcing everything to slow you down. That >> really thank ABC pointed that out beautifully in his point was, Hey, I'm gonna you know, I'm all in on AWS. We have domain expertise, We have data. That's our intellectual property. We're going to use that and be competitive and partner. And >> yes, and the new models it is. And that I p stays in house with that company or entity or government organization. It was so fun for me today to hear Shake some on from Maggie. A talk about the government is moving fast, and I think that's an example of a really are they figured out clown helps him just go a lot faster and save many security. >> I'm glad you brought that up. I know you got a short time here, but I want one last point in. We've been talking a lot about modernization of government, your success with C i a United States jet I contract still under consideration. All this going on you're experiencing by ranges and, um, unbelievable, fast moving government. They kind of get it. United States some places gets it. This is really about focusing in on the workloads. What have you learned? As you've been engaging these modernization efforts with governments summer slow, some of political ramifications behind. No one wants to lose. Old guard will hold onto the rails. We've seen that in the news, but this is coming fast. What are you learning? What do you >> take away its leadership? I mean, at the end of the day, all these things were driven by a very strong leaders. And even you can see everybody today on stage. It is leaders that make a decision that they wanted a faster and they want to modernize but have the capabilities. No matter if you're the U. S. Department of Defense. Ah, yes. Health and human resource is National Health Service in the UK or RG a hearing by rain, the government's or enterprises that we work with around the world. The key is leadership. And if there's that leader that is really strong and says we're moving, did you actually see organizations move a lot faster if you see people kind of waffle anger. I'm not sure, you know, that's when you can see the slowness. Wow, What I will tell you is from the early days of starting this business in 2010 the individuals that always move fastest for the mission owners because the mission owners of whatever the business West at a governmental level or enterprise, they said, we need to keep our mission going. So that's the reason they wanted to walk through this transformation. >> And now, I think, with developers coming in and started to see these employees for these companies saying, No, no, what's the reason why we can't go fast? That's right now a groundswell of pressure you see in both government, public sector and commercial. >> And you saw Mark Allen today on stage talking about security. It iss literally day. Zero thing for us, and the reason a lot of our customers are meeting faster now is because of security. Cloud is more secure in their meeting to the cloud for security because they feel like they could both optimize, move faster for workloads, and now they have security. Better, faster, cheaper security, bad design, >> Theresa always pleasure thinking coming. Spending time. Thank >> you for coming to Barbara Ryan. Thank you. So >> we're going global with you guys is seeing the global expansion 20 to 22nd region. 69 availabilities owns nine more coming. More regions. More easy. You guys doing great. Congratulations. >> Thank you. >> Secure. We are here in Bahrain. Form or coverage. Global coverage of the cube with Reese Carlson, vice president of worldwide public sector. She's running the show doing a great job. We're here more after the stroke break. Stay with us.

>> from Bahrain. It's the Q covering AWS Public sector Bahrain brought to you by Amazon Web service is >> Welcome back to the cubes coverage here in by rain in the Middle East for AWS Summit wrapping up event here with the cloud computing shift that's happening. Amazon regions live lot of innovation in the area Middle East and Africa. We're here with the head executive of A W s who manages the territory. Suban Shag, part head of Middle East Africa for public sector. Thanks for coming on. Appreciate it. >> Absolutely. John, Thank you. Thank you for having me here. And thanks for being here with your team, learning about this story from the Middle East and, of course, all the way to North Africa and Africa as well to >> Well, it's been a lot of work that you're on your team have done it been successful, were super interested because there's a big story developing here. The Amazon region, which was announced two years ago, is available on Day one. Pun intended a lot of couples shipping their products on the cloud, but it's also a cultural revolution happening for a whole another generation that could change the landscape of the Middle East. Culture, technology, innovation, banking, entrepreneurship. This is a grass roots groundswell of change, empowerment, self esteem, money making, banking. I mean, all this that's going on >> absolute in the middle of it. Well, hey, we're proud to be part of it, and we're proud to be partners with many different organizations here as well. I think it's actually coming from all different directions, not just the ground swell, but even the leadership, the leadership of the countries that can Bahrain, but also the other countries in the Middle East and across the region. What we're seeing is that these countries air creating these vision plants, and these vision plans air about diversifying the economy, creating opportunity for youth, creating opportunity for folks that are diversifying from the economy. So then they're actually being displaced, and where do you turn to sew? These countries are turning to technology and in ah, Bahrain, in particular, they've set up programs where they helped to develop youth. They helped develop citizens, they could get free training on technology, all that to do, sees it and take it. And we've seen that uptake as well to have seen a lot of Bahrainis just taking courses, getting trained and then building. And that's what you witnessed today at our summit. >> You know, innovation takes on many forms you've seen in every way from the mobile wave. You saw, um, countries that didn't have good infrastructure, stand up mobile, fisher and Beam or connected than some of the incumbent countries that had connectivity last mile into >> an elite leap is >> the lead frog, right? So So this is happening here. But the trend we're seeing is that the old business school adage of focus on your core competency and then it's okay to outsource that that's not a core competency is a trend we're seeing with Cloud where you guys are providing the infrastructure for countries, not just businesses. Yeah, to focus on their core competency, and it's making things go faster. So speed is the table stakes, so it's slow. It's probably the old way. What are some of the conversations around this? Because this seems to be the hottest topic from things I've seen in the United States with CIA and Jed I that Therese has been involved in two education with educate and now here with the government modernizing with cloud first. Yeah, that's trickling throughout the entire country. >> Yeah, well, I mean, it's it's need, I'm part of that is needs. So in some of the countries in the region barring included, they wanted to spend controls. They want to reduce their costs. You want to get away from legacy, They want to get away from licenses they're not using or hardware that's sitting on shelves. So then they come and look at what we're doing in the same Well, wait a second. You're investing in the region. You're making infrastructure available. I can build on top of that, I can leverage open source I can create I could make citizen service is it's almost a no brainer for them to one of the biggest problems they have is that the train people and then those folks go in. They do start ups where they're going to start work for other businesses. Well, which is fantastic. It's actually creating that Gertrude a cycle that we want to be a part of his well too. So already starting to see that happening in the past couple of years. Have you been here? And of course, now we have the region lunch, which is only accelerating the journey. >> Talk about the business because you guys are active. Your presents early with a region which we think is a revitalisation, creates economic value. That's something we've been reporting on. But there's more than that. It's not just by rain. It's the whole region that you cover. What's the business landscape like? What if some of the deals you're doing? What's the startups look like when you talk about some of the the landscape dynamics? >> Absolutely. So first, let's start up Eco system is very, um, I was gonna say robust, but it's it's some to use the word that use. It's a groundswell Right now. We're seeing a lot of interest, Lot of activity. Ah, lot of folks getting into in experimenting very quickly. But it's not easy as we know. Doing a start. It's not easy, so that robust war will come with time. Ah, we're seeing that more funding is going into the space now. It's still very anemic. So in the Middle East, there's not enough funds going in there, especially for the early stage. We're seeing interest coming from outside for the later stages. We're talking about the creams, and we're talking about the cabbages and some of those companies, but at the earliest, ones >> that are clearly validated, growing like >> exactly the ones who have already earned market share with ones that air. Starting right now, they're finding their way. So we didn't do you need more funding for experimentation? Enter AWS and we provide is programs like Activate, which is an early stage start, a program. We work very closely with the V C's and the accelerators, so they're leveraging that now, too. So we're starting to see that growth, whether it's in Dubai or Abu Dhabi or Riyadh or Cairo or here. It's just starting to grow, which is great. And we're seeing that interest and some of that, um, should I go into this field? Would what When my mom's safe, I'm an entrepreneur versus a doctor that started swaying Now to where people say entrepreneurship is actually pretty >> cool, it's a legitimate field. >> It's a legitimate feeling that, believe it or not, which is excited, and people are going into it as well. On the enterprise side, s Emi's all the way to large enterprises. We're seeing that folks are saying, Hey, I can actually maybe even get new markets. So if you look at Al Tayyar Group, which are telltale Travel Group, which is out of Saudi Arabia, they're using that to learn more about their custom. Customers come up with new solutions and new packages that they can offer, all using a I and ML, which is incredible or fly Dubai FlyDubai in, In. In Dubai, you probably guessed that Ah, they need to stand up very quickly and online booking system. They did it in four months. It's leveraging cloud. So they're getting that they're getting that idea that you can kick it off real quick, get it running, and then launch it as well, too, and then the government. So we're seeing governments across the region saying, Hey, we've got a controller cost first of all, and we've got to make a better citizen service is we want to make sure that we improve the lives of citizens. So been able to launch new service is in a short amount of time. Today we heard about the I G A. Working on a building permit system that allows people to build quicker because they're able to get a permit in days instead of months. This is an example scene where speed matters to the point where we now have the government challenging business in terms of moving quicker, which is unheard of anywhere else in the world, which is super exciting, >> not certainly in the United States, that's for sure. I would like just to point out that from my standpoint, I heard this many V C. C are seeing them in the hallways mix of veces entrepreneurs business, globalize V's and New Eyes bees. The Amazon partner networks here. Yeah, it is partner Network. So it's all the things are in place now. Yes, What's missing? What do you see? It's to do items. Where do you think that you can raise the bar for AWS? What's what do you sees as to do items for you? What's your plan? >> Well, to your point, I mean, all the ingredients are here. So in terms of what's missing, I don't think there's anything missing spoke putting the ingredients together and build baking that cake. That's what we gotta work on right now, too. So that's why we're doing a lot of activity in the schools across the region, getting our program Educate and Academy, which of two different programs, ones broad. One is very directed to the schools. That is what we're helping to make sure that we get the next generation of learners. We're working on items, a cloud degrees. So in four years you can actually a degree leveraging all the technologies that are enabled by cloud. That's happened at the University of Bahrain, and we hope to get that in other schools. But also just getting training out there, just getting quick training. So you learn a little mint modules and you go and build something that's another area. Need spend more time and again encouraging experimentation. Try some new things, get it out there, see what the market says. So in terms of what we could do more of it. AWS is continue to push that message. Continue developing the people out here so that they're building. >> I gotta ask you, you know, you've been in Silicon Valley. You know that game for the folks living in silicon value in the U. S. What should they know about what's going on in your territory out here that they may not know? Or maybe this was fleeting thought or something that's not being reported. What's what. What's should did people know about what's going on in this region? >> Absolutely. I think sometimes for for many markets that are outside of Silicon Valley outside of the U. S. It's about copycats, start ups, which is fine. You can actually do quite well with that. Ah, usually the returns on that when you go to an exit event is less than what you might see it in the valley. Ah, but again, there's a great triage opportunity. So you want to bring the funds here? But I do see now a change where folks are building original technologies as well, too. And I think we're going to see more of the multiples, tens or 20 time multiples out here in the region, which would be wonderful. Ah, we saw a company today. You know, phonic, which is from Saudi Arabia that is building telecommunications, and, uh, contact invoice type of service is that's gonna be huge if they get this right. And I think they will, because they got a really scrappy and hungry team. That's one of those companies that actually could start getting people to notice the Middle East is a place for original innovation. >> Awesome. Um, anything else on your to do list for next year? What's Ah, Give a quick plug for your crew. You guys hiring? I see the region here. You gotta fill staff here. Actually got curriculum in the schools here. What are you looking >> for? You coming all the big What's not here to do? Yeah. You know, into this is continue to develop my team. We got a wonderful team here. Ah, lot of people that are local to the, uh, to the region. Ah, that We want to make sure that they're growing and contributing. A swell too. Our team missions to do good into. Well, at the same time, I think they go hand in hand. So we want to do more around programs that help to develop communities. You know, there are refugee crisis is around the region. We want to make sure we can help out over there. Ah, women in tech is a big area of focus for us. How can we get more women into technology and leading and technology as well? To have got my team having a mandate to get more solution architects that our women as well to we don't have one yet. We have a lot of great women on our team, but we need more technical women, too. That's another key focus area for us. Um, and just continue building continued to help the communities build solutions on the cloud. >> Zubin Chang, part here, head of the territory here in the Middle East and Africa. That's the cubes coverage of eight of US Summit and buyer in the Middle East. Signing off our second year. We'll be back with more next year and you'll see it around in the territory. Thanks for Thanks for watching.

>> from Bahrain. It's the Q covering AWS Public sector Bahrain, brought to you by Amazon Web service, is, >> But we are here. The Cube in Bahrain, Middle East for Amazon Web service is some of our second year were cloud computing and their region of couple availability zones are up and running. Big news with Amazon got our next guest. Here's Cameron Years as head of strategy at the University of By Rain. You guys big news announcing a degree bachelor's degree in cloud computing? Yeah, a certificate one year that is gonna rapidly put new talent in the market. Congratulations. Thank you. Thank you. >> Thank you so much. We're really excited by this announcement today on Dhe. What's exciting about it is Ah, first of all, it's the first cloud computing degree in the Middle East on the other. The other element to this is that the the students suits from any background. Any discipline can get a really good understanding about cloud technology for the certification because the challenges we face in the region right now are we don't have enough skilled tech talent on we don't have enough skill talent to fill the jobs are available in the region. This is not just a regional thing is you know this is a global issue on universities. Have Thio adapt, be a bit more forward thinking live in the future. And we feel really optimistic with our partnership with Amazon today that we can actually fulfill the needs off public sector employers, entrepreneurs, governments throughout the region. And that's the exciting thing >> for us. I mean, let's just take a minute to explain the two components. One's a four year degree, one when you just give a little quick DT on ongoing questions. >> So I need a four year back to the program is gonna be delivered in a very different wave in the traditional academic program is gonna be heavily integrated with the needs of employers, so employees are gonna be really involved in curriculum design. We like them to be part of a teacher faculty as well. The way that the program will be delivered will be very much in a kind of project based way. So it's about developing not just knowledge, but the skills, competency values mindset required to be successful in the 21st century. That's exciting. Think about it, and of course, you know, looking at some of the detail behind the curriculum you're looking at networking, security, machine learning, artificial intelligence, big data. So the fact that this cloud base is actually just a small component to what it opens up in terms of broader skill sets >> I mean, one of the things that we always comment here on the Cube as we cover Amazons reinvent their big annual conference. And the joke is how many more announcement's gonna make this year a tsunami of new things coming. So certainly it's tough to keep up. Many people say that, but for the young people in school, this is relevant stuff. This is like pathway to success. Yeah, job making some cash, making some money, get that's what the purpose of education is. >> Well, I think I think there's a couple of That's a great point. The first thing is, education systems now need to live in the future. Living in a current or in many cases, the past is no acceptable. So it means it means taking some sort of calculated risk. But we're very clear in terms of the direction of travel with regard to technology in the future, jobs The reality is today. But 2/3 of the world's population already needs re Skilling. Those are the challenges we face today. Young people are purpose driven. They know where the where jobs are gonna be. They want to work for themselves. You know, they understand far better than anyone else where the way the future is unraveling do they >> understand how relevant this is? I mean, that's pretty obvious. We're in the industry. Yeah, we kind of obviously known you've been part of you are getting that This is wave. This wave is not gonna end for a while. This is gonna be a great upward migration for opportunity. You know, it's still learning on the young kids part. >> I think I think I think sometimes in education we do a disservice to young people. They're so well informed they understand the market, the trends, the way the technology shaping the future on reality is that what student learns in year one of the university, 50% and acknowledge will be obsolete by the time they graduate. So the focus is no just around giving him a degree. This is also about Skillet Re Skilling and upscaling. People have graduated people in the workforce. So this is a far wider opportunity, even just young people. Well, >> I'll tell you, one thing that gets my attention is that this reminds me of theeighties glider science because I got a degree. I was a freshman. 1983 was just at the beginning of the operating systems movement. Lennox was even around yet Units was just emerging on the scene and was interesting what we learned as building blocks with operating systems and that becoming obsolete in the sense that we don't use it anymore. But coding still happen. So this is had scaled to it with Amazon. You got okay. Easy to industry. Yeah. Now you got He's mentioned machine learning at Lambda Functions server lists. Yep. I'm so much more stuff there for a variety of jobs. >> I think this is just the tip of the iceberg. And I think for us, the way that education is evolving is that we we really believe that education will be more modular, as you say, credentials based, um lifelong on the channel. So some of it will be hands on. Some would be through other channels on competency base, and I think that's the thing. I think competency for us is about the kind of mobilization of the knowledge, your skills, the values attributes. And that's the bit it's gonna add. Value Thio economies throughout >> the world. So had a strategy. You gotta look at the chessboard in the future. You mentioned I live in the future. Yeah. What are some of the feedback you've gotten as you talk to folks in the industry when you roll this out? Um, doing some press interviews? I know you've had some feedback. What's the what's the general sentiment right now? >> Really excited. I think that we talk to employees all the time. We talked to sm easy. You talk to big players like Amazon. I think that in the in the region, I think when we talk about the scale of disruption, I think well, the way we talk about it in U. S. Or Europe is very different to the way we talk about it. I think the Middle East region, like Mellie developing parts of the world still playing catch up on old there. But what you'll find is once they've caught up, the adoption rates go through the roof and then that's that's the challenge for us. Because you know what? We see the uptake. Now we see the update every year growing and growing. And now the next challenge is moving into government, moving into the private sector on upscaling and re Skilling, though. So we're just at the start of this kind of huge opportunity. John and I see it being, you know, exponentially over the next five years. You >> know, it's interesting. I live in San Francisco, Bay Area and Silicon Valley. Invalid. We'll tow you. See what Berkeley's doing. Stand up for you. If you look at Berkeley in particular, number one classes are the data science class and the CS intro. Yeah, I mean, they're kind of hybrids, basically, is all cloudy? Do anything with coding. It's gonna be cloud based, right? Um, and seal, who's the deputy Group CEO? Banky, ABC. I just interviewed earlier today. He said, Aye, aye. He thinks is the biggest thing that's gonna happen. So it's not just racking and stacking standing up infrastructure with Amazon, although great to learn that it will be nerds. Geeks do that. There's a huge machine learning a I field. Yeah, I think that's gonna be something. Is head of strategy. You gotta keep your eye on the prize. They're absolutely What's your view on that? How do you see that happening? >> I think you're right. I think only CD of recently released some doctor to say that over 20% of jobs will be automated as a result of their arrive in the next few years. I think our role is to prepare young people regardless of what they're studying. Fool. Aye, aye. On the impact of machine learning. So I'll give an example. Medicine. You can make a diagnosis now for a patient diagnosis in a fraction of a second compared to what we used to be able to buy using I. Now the reality is that although I all I can give you that information you as a patient, one a robot to give you that diagnosis, right? So our job, I think, is to look at the skills that will define what defines us as human beings away from robots. And that's empathy. That's the stuff around building, building connections around team, working around collaboration. And actually those are the things the education systems of a designed not to deliver. So our job now is by embracing these types of new program is it is. It is to start to work on those softer skills on Prepare this generation of shooting for the for the A. I will that we're moving into >> camera, and I was so excited for your opportunity. Computer science cloud >> all kind, bundle >> together and software is powering this new job. As we say, it's the keys to the kingdom. In this case, it could be the keys to the kingdom. >> Well, I think for us as the national university on for many Ah, not just Bahrain. But for many developing an emerging countries around the world, this is far greater than just technology. Or create Jarvis's about sovereignty. Because if you look at many countries, they import talent. They have to import hardware, software, computers and things imported. This is a great opportunity to help create a workforce but actually flips it on its head. Becomes the innovators, becomes the job creators. So that's the exciting thing for us. It really is >> a generational accident. This is an opportunity for the younger generation to literally take the keys to the kingdom. Absolutely absolutely thanks so much for coming. Thank you. Thank you. Telling cube coverage here by rain Middle East AWS Summit. I'm John Feehery Stables for more coverage after this short break.

>> from Bahrain. It's the Q covering AWS Public sector Bahrain brought to you by Amazon Web service is >> over and welcome back to the Cube. Special coverage here in by rain in the Middle East for Amazon Web service is eight of US Summit. I'm John for the Cube our second year, where cloud computing has changed in the landscape. It's changing the entrepreneur equation. It's changing the money equation, and Fintech is very popular. Next guest. Special guests. Ideal worrying. Who's the Deputy Group? CEO Bank, ABC. A legend in the industry. Also the founder. The Fintech Forum Coming up on your fourth big event, But you're keynoting here at Teresa Carlson and A W s Summit car on digital only bank. Welcome to the Cube. Thank you, John. Thank you. Pleasure to speak to you today, so I got a lot to talk about, but digital only bank. This is a really special time in history. Now we're living in a digital error and the digital is driving business change and digital business is on the on the plate of every major executive in the world. How are you enabling digital business, >> John? The way, The way I look at things that two years ago I have went to my board. I said, I wanna disrupt the bank. I want to develop a business digital strategy. And to do that, we have three pictures. We have to run the band first and transform the back. To do that, we have to continue investing on modernizing the bank. Then you evolve the bank investment by creating new product. And finally you just hop the back and how you disrupt the bank. And she's using the digital highway and introducing the cloud computing on bringing a new tools wishes changed the framework and changed the mechanics of the bank. So we created way are not a digital only bank which will be going live in two months time. We launch a wallet on all that sitting on our eco systems it in the cloud the very brave and bold move. But I can tell you, without that you will lose the transformation. Banking today is different than they're gonna be banking of tomorrow. Yeah, we have to start getting into the journey of transformation. >> Bold moves require bold leadership obscenity. You are that this is hard. It sounds easy on paper. You got people to convince. I agree. Changes hard people. Cultural change. How did you do it? What >> was the great question? John are started that in December 2016 I went to my board when the frantic start moving heating our partnership. Look, I want to be on the transformation. Jr and I worked for about 6 to 9 months in greeting our niche with the board unit. Explain to them frantic abroad. Them actually a special fintech speakers guidelines. So I invested heavily. I would always take holder board level people, groups Vo and tell him about the impact of digitization. New cannot afford distant idea. Feel distant. I didn't do nothing. He parked the chain was moved. We'll go without you. So what you're saying is that investment is awareness. You have to explain to him why you cannot treat fintech with the threat. You have to embrace it. >> I love that. I love that leadership. It takes time to nurture and unset the table. Absolutely. And then understand the cloud only strategy. And then you got to sell it and then you gotta implement. These are the new dynamic >> fears fears. John is that most of the stakeholder. They think of cloud as secure and the spending of times They're not security. Instead, he was spending the time questioning spend their time to improve the security with Amazon. We are partners Now we sit with them and doing a demon years. And I tell you, I'm putting all my critical banking system on the ground. >> When you talk to Amazon, you're a bank. Thanks. Have money. Thanks can be act. There were people who worried about all this. Trust is important opportunity. What made you decide to go a W s? >> There's a very first of all. When I decided to individuals with my decision, I looked at you guys, the investment you made it in security, the investment you make or not. Indeed, I looked you committed to the region. I was someone my neighbor you guys have invested that made a bold move to be in Bahrain That did a lot, picked a lot of boxes for me and that was an important move from AWS. And I tell you many regulators today they were going to cloud eventually. So it's very important that anybody is Bridget himself in the >> region. But we love a W s because we covered them. And in depth is part of our media business. And we look at disruptions to and I want to get your thoughts on fintech disruption. We were talking before we came on camera about some key times in history where disruption happened in trade. That is a tale sign for what's happening in that. Tell the story. >> All right, let me tell you the story. In 1953 the first word cargo ship sent from New York to Houston. That chip change the word made history. Why? Because it has the container. So you could supplier trade, sending through the container to different destinations. You know, before how you used to be put them in the trade through It was a nightmare. That disruption have actually improved the globalization of increased trade business. Today all this equipment here comes Chicago comes through container and each container is labelled through computer. So we re vision today Fintech made the same making same disruption in banking on my notions, everything >> and wears a similarity. Scale >> matter, united disruption. This came a volume betrayed should become disrupted. Everybody start using your container. The business the globalization fintech, globalization, skin awareness. So what? The way I see similar to that we had a disruption. Trade become more familiar. Lifestyle has improved. You can now put your house. Your TV is coming From where? From? Your Maybe >> all the cargo containers have changed. Shipping fintech is changing banking, banking >> and lifestyle. You got it. You got a job. >> And so now, well, ironically, two containers or changing the cloud Because containers and kubernetes and frustration, This is about software. That's right. Software money has been a term kicked around. When you hear the word software defined currency software to find money, what do you think of? >> Look, at the end of the day, who writes software people? Human. So basically, the thinking has become from you and I for the people that sit and think about the codes. Yeah, programmer the corner. But there's somebody behind it thinking So you have a thinker on this thing? Got Arjun you the word not the coda. >> Big moves and Finn ticker happening. I want to get your thoughts on leadership in this world where cloud has pretty much instant benefits if you execute properly. Absolutely. There's also architectural thinking. So the word business architecture is not something that they teach in business school or sometimes has to be learned over time to operate a business and go have a growth strategy in changing technological landscapes requires a business. Architecture has to have a ballistic systems thinking this is hard. You've done that for multiple years. What if you learned what were some of the challenges that you came? >> You have to look at when you're running a big enterprise. You have a lot of investment around the world, and a lot of duplication are out of inefficiency at the leader. Money to show my steak stakeholder efficiency. I want our own better shop. Now, if technology can help me to do that, why not? You'll have to jump onto the wagon? Yeah, yeah, I cannot sit idle, and I see a better efficient shop but bank running more efficiently. So I looked with technology addition to disrupt the way I work, but positive disruption. Yeah. The main thing is that the disruption should be a catalyst for a positive change. So what I learned I learned efficiency would the digital disruption with the cloud today and instead of putting 25,000 servants to serve my 18 countries. I put in the cloud. You done it. You know the economy is Ken Jordan and the shaving >> the flywheels. Amazing. The operational efficiency are amazing. As an executive, you managed to results at the end of the day. Business is business. Results matter. How are your results? You gotta make money >> at the bank. It I have a good show. Uh, results. >> Got to make some money. How do you see that? Evolving digital only business. What's your strategy? What's your roadmap? For? How you see the money making kicking >> in, John, that our clients becoming sophisticated. My corporate client today if I don't deliver in a digital solution through his statement, give the payment, Foster. He's gonna go for a fintech company because today, front companies are competing with me eating my lunch. So I have to prove, if my client becoming digital Chevy more sophisticated, I cannot sit and watch. So I have to invest heavily. You make sure my client is satisfied giving the right cash management to transaction banking. All this the book payments or this have to be alternated. So I have to be continue looking after my client. That's where the money >> are you happy where you are, Where you're at right now? Are you happy with work? >> There's always room for improvement. I will continue. Invest on Are we innovate because you cannot stop. I mean, look, I'm a zone today. Would they stop? >> No, no, they're not stopping >> way. We need to continue. >> What's your areas that you think about for the next five years? Fintech. What are an important area? >> You know what? I think Joe's gonna affect our lifestyle. A I artificial intel. I feel way only seen the beginning. We have seen nothing out of the way. A bank, ABC. We just lost our first digital employees. Uh, her name is Fatima, and we will be coming live in November. I tell you, this is the beginning. I feel artificial intelligence is gonna affect our work force in the world. >> Tell me more about this digital employees concept. >> Well, that until passionate about what we worked with a company called So machine in you Zeeland on there are the same people who actually invented you've seen the movie of it all. Yeah. So the same people actually design movie and avatar work. We work with them to create a footman. Fatma is already being trained. Do help a new Crying Toe Bank, ABC. The Tissue Bank Open account. Two shoes. A correct credit cards for you Help you and also to be able to have a chat with her to be able to ask you a question. Jerry. A question about the Bahrain about the population but banking. It's a journey on. The journey's so far being successful, and I continue. If you ask me the question in a year's time, I would tell you probably thought it would be somebody else. >> This is helping augment the experience for your customers. That's the goal, >> absolutely. And from experience with my consumer. >> Okay, I want to change the subject and talk about the fact you're the founder of the Fintech Forum. You've had your third edition for the coming up. Talk about the event. What's the purpose? >> Uh, in in about 2016 December, I went to them sentimental by rain Governor and I said, We want to sponsor a frantic conference so self like impressed that immediately and British idea. And then I went back to my board my good CEO, I said, We want to sponsor the fish interconference on my papers at the time, the warning Because at that time in nearly 2017 we hear different around the region. Nobody actually sat there and say, Was the interactive printed on banking? You see, other victim. So I launched the first winter conference Was its success 2nd 1 also a sex. And the 3rd 1 was a kook because we put the top speaker on the world. And now people are judging me for the 4th 1 event business Now. No way about Responsive Bank. NBC's was the sole sponsor. >> That's exciting. And I think these events are changing, too. The fact that you're getting into events, you're contributing your knowledge, your also sponsoring providing some working capital >> contribution as a bank. International bank. At least I can do to support my reign infrastructure in the vision in a fintech. Sorry, >> no problem. Think out of the water. I want to say I want to get your thoughts on something. I feels important. I said this last year and the year before, when Amazon launches a new region, yeah, it creates a revitalisation. It has computing power has all those things. It's a center point of innovation. How do you see that same thing? And what's, um, things that people might not know about the Amazon relationship to the area? Because all this innovation and enablement fintech societal change the government ministries are coming online here by rain. Entrepreneurs are creating value. They're getting funded this liquidity banks, air going fintech A modernization wave is happening with a new generation of young people and existing businesses. This is a digital complete modernisation. Your thoughts on on all this digital transformation Societal at a societal level with Amazon >> Amazon already contributed to the digital economy was in it in the world. And I've seen already the impact this part of the world. The fact that this conference is summer today I can't answer your question. Look at the contribution. You have about 2000 people here look the excitement of what to bring into the region. I have seen people today from Chaudhary from Kuwait, from Morocco, from Amman, from Egypt here. So you are actually building the knowledge excitement and you also have been people to understand the ecosystem and what was missing. So what you doing any bill Us now actually investing heavily on educating awareness of the digital destruction and digital economy. You are participating in the digital economy. I mean, also today I heard from Malaysia. Very good. Exactly. Sponsoring a program a degree with University of Bahrain doesn't pass just free. So this is basically you Continue doing that. And you find AWS is already effective. Life like the clock is gonna be so I think it's body is already contributing the digital economy worldwide. >> You know, I'm fascinated. I'd love to have more conversations with you on this, Maybe at your forum. But one thing I want to get your thoughts on is with digital collaboration is not just face to face. You meet people here from different countries, but then we go back to our place is but we're still together digitally. So the scale of cloud computing and digital is impacting not just money collaboration. What's your vision on how collaboration and the role of people are going to play in this new dynamic? John, >> if you have asked me three years ago our video I was a threat with winter company with your banker. They're gonna eat my lunch. But today you realize with time the only way you can move on trust through collaborating with the company. That's why today I'm sitting with AWS sitting with other victim basically breaking people. I know my banks, but I don't know how to build a clock ticking. So I caught a break. I don't know how to move on a new Sophia or so I go with. I want to use it to get that. You see what I mean? >> Yeah, I think you have another good point that we reported on many times. And that is that when you collaborate with these technologies, it makes the domain expertise and the data that you >> have >> more intellectual, more emotional property because, you know, banking intimately. You have data, you have customers. That's your intellectual property. You could use that faster with the resource. This is a new competitive advantage >> with analytics would get the science. The data is the new order, if you should, but you need the tours. You need another unique data scientist. And when you have the distant scientist dental become than yours. >> So he'll thank you for sharing your awesome insights here and let you hear about rain. Really appreciated. Congratulations. Tino speaking. Bank, ABC. Thank you. Going all digital. Bold moves. Bold leadership. Thank you. Thank you very much. We're here in the Cube. We're live broadcasting here and by rain. 80. This summit. I'm John Ferrier. Thanks for watching.

>> From Bahrain, it's the Cube. Covering AWS Public Sector, Bahrain. Brought to you by Amazon Web Services. >> Everyone welcome to the Cube here in Bahrain, for AWS in the Middle East, Manama Summit. I'm John for the Cube coverage. It's cloud computing, new Amazon region, a lot of innovation. But two great guests we have, Huda Ahmed Mohsen, who's the Chief of Information Technology and the Ministry of Information and Authority. Welcome to the Cube. And Sameera Mohammed Al Atawi. You are the Information and Communication Technology Director at the American University in Bahrain. Thank you for coming on. >> Thank you so much for having me here. >> Great to have you on. The ministries are mandated to move to the cloud, Huda, so we know what's coming for you, 2020. The goal is cloud first in Bahrain. We covered this last year. How's that going? On plan? >> It is on plan and is in the process. We start in November 2017. We start our journey with the clouds. We start moving our load smoothly. We're planners. Face a lot of challenge in the beginning, of course, as all of the ministries. Then with help the IGA with our governments, we move smoothly. I think now we reach a good position that we can reach our vision in Salah. >> Well, it's great that the government in Bahrain has a mandate for all the ministries to move to the cloud. I have to ask you, share with the folks watching, why the move to the cloud? What was the big reason why the cloud first was in place? >> See, technology's moving fast now, and the speed and security and the availability is very important to us as a ministry, especially for ministry information. That's why we decide, and as a government, vision, of course, we did decide to move to the cloud. >> A lot of integration from the old way to the new way. What are some of your observations between the two? >> Of course, a lot of changing, a lot of difference, because if you need to just establish any projects in an a normal way, how much time you will have spent, and how much resources you will have spent? And a cloud, you can just imagine. It is with a click. >> Sameera, you're in a new role. Talk about your new role where you were before. This is not new to you, the cloud. You've had your toe in the water before. You've been playing around with the cloud. Now with the American University in Bahrain, full steam ahead, a lot of pressure, lot of need, desire? >> I think, yes, it is not new for me. I'm in the IT field like know for ages. I wouldn't say the years. But then, yes, it's not new, but in Bahrain polytechnic we are having the same journey, like migrating to the cloud. It's a new challenge in the American University of Bahrain. It's a new startup, entrepreneur university. But then the interesting thing that I have joined them like three weeks ago and now the IT is up and running within two weeks. So with the help of the cloud and AWS, our servers now all up and running. By the way, this is our first day in school. So our students there just taking their formal classes as per today. So this is a very proud moment. >> And the servers are on the cloud, powering everything? >> Yes, we have more data on the cloud at the moment, and we have also 5365, and we have our ERPC Stem, as well. It's all in the cloud. So within two weeks, that's an amazing story to be told. >> Versus the old way was months, years? >> Well, actually, it's for every institution there are some challenges and there are some pros and cons, but I think the most beautiful thing about Bahrain polytechnic that everybody was working as a team and we understand each others issues. So regardless the time, there always been a support and faith and trust in IT just to deliver the organization mission and vision. This is the same with the American University of Bahrain. There is a huge trust and faith in IT that they will derive the trust formation, or the change to the future. Ironically, the future's here. >> Yeah, and the cloud region is beautiful out here. The impact academic is something that we're going to be watching closely, because the training is coming too. We're seeing that in the announcements here around a cloud computing degree, more skill development. But I have to ask you from a business standpoint in the academic area, what's the main use cases for cloud? Is it the curriculum? Is it the operations? What is some of the key cloud areas you're innovating on? >> Very interesting question. I think we have like a blend of use cases. We have the operational use cases, and we have the academic use cases as well. I mean, the most important for us is in the university is the academic. Now how we can empower our students to face the challenges of the future and the market demand. So we are sensing a lot of interest about the artificial intelligence, robotics, big data, and this morning when I was just scrolling down the menu of AWS, I've been seeing this a lot. So how we can imbed this technology or the reading material like an AWS educate in our courses and material, versus the operational use cases, how we can deliver the business objective in an entire mode and in a most efficient way. You know, like in university, we have so much critical time that we don't afford losing IT, like exams, posting grades, even for our students graduation projects. It's become easier and easier for the business, however with the aid of IT. >> And the agility is very important because the expectation from the students is high. >> It's way high. I mean, the expectation and the use is already there. So, not like before, not like my age, you know, like students, they get to introduce technology when they got to the university. Now all of our students, they already know and use the technology before they join. >> Huda, talk about the ministry, because you guys on the government side, very progressive, doing new things. You got Amazon's region here, which is going to create a revitalization. You're in the middle of it. What are some of your observations on the things that are going on that are new for you guys that are a positive? >> Seeing now a cloud maybe as a ministries and as a government project, the most new thing that we get that the new environment. This is totally new environment. You know if you just have any new thing or any new environment, you have resistance from everyone, because it's a new thing. >> People fear change. >> Yes. >> They don't want to change. >> Of course. Even sometimes the change is good, but this is the mentality of people to resist a change. As a government because we have one vision, which is all the ministries working within this vision. We really plan it well, I think. And we do it well. As you see now in Bahrain, the time that they establish the cloud until now, you can see how many projects in the process, how many project already done. >> You know, cultural change, we cover this. We go to hundreds of events. We cover all around the world, mostly in the United States, but culture's number one. People always want to push back against change. However, the benefits that you were pointing out, Sameera, are undeniable. Two weeks, talk about standing up critical infrastructure for whether it's curriculum or for services for citizens. It's hard to debate, to justify the old way. It's pretty hard. (chuckles) Maybe some political in there, but, I mean, ultimately, the proof is there. That has to be factored in. How do you guys do that? Do you just show people the data? Look what we did. Is that how you get things through? Is it more cultural? >> I think we just discuss in a panel about even let's talk about only the part of the financially thing. Before I was in IT, if you want to just make anything, and data sent out on any projects, how much time you will have spent to bring the devices, to bring the servers, to connect it, to do it. How much time you will have spent, even in the financially procedures, as a government, of course? Now it is, if you have any problem or any projects, you just by click finish it and done. >> I'm very impressed with Iran, second year the Cube's been here. The things we've talked about last year have been executed. They're executing. The region's up and running. The cryptocurreny is in place. We covered that just now. We're going to hear about some curriculum for degrees. But last year, you mentioned the panel. You guys were just on the AWS We Power Tech. Last year, Teresa Cross hosted a big breakfast, and I was lucky enough to attend that. I actually got kicked out of my seat, because with so many women that wanted to sit down, I happily gave up my seat for that. It was a packed house. Women in tech is very real and growing. You guys were just on a great panel talking about this. What was going on in the panel? What was the key topic? >> Well, actually, the key topic is celebrating women in IT. And I think women now they are flourishing in the IT field. We're showing lots of power and strength. Also I think women in nature, we are dealing with problem solving like in a natural way, as well as team buildings. So it comes with our genes. On top of that, the technical power and the technical thinking and the experience in the IT field, of course it adds a lot of confidence when we are presenting our plans. And we see that society is welcoming the woman workforce in IT field more and more every day. So I think this is something that we should celebrate and we should put a lot of highlight on it. Knowing that the value of woman is really growing. >> You were just talking about the time change, how things are faster. Things are getting done much faster, so things are accelerating, and combined with more job openings, more roles are opening. It's not just coding. It's creative, design thinking. So you're seeing a surface area of opportunities. Huda, you're seeing this as well in the government. This is a bigger field now. Your thoughts on how you see the panel. >> Yes, but maybe Sameera will have more experience in this area. >> On the skill gaps question that comes up a lot, there's so many job openings coming. There's a region here, there's entrepreneurs and startups. What are some of the new skills that folks are trying to learn? What do you guys think? >> Well, actually on that, coming from an educational field, we know that cloud computing is like number one set of skills that is on demand for the coming few years. But again, knowing that, it will be as essential as we should not think about it. It just will be transforming as a very catalyst. The way that we're thinking of electricity. At the beginning it was a big deal. Later on, it just there, and it has to be there for us to move as a society, for us to move as an economy. Then we're moving to the real things as, for example, blockchains and we're talking about artificial intelligence. And the technology itself is just not as important unless it has some feed in the economy development or in the society change. So I think this is how we can see that happening. >> So overall, you both think that cloud computing is going to revitalize the area? >> Definitely. >> Of course. >> Definitely, in a big way. I mean, the market, the first skill set is looked at in the IT field and is how many training, how many certificates have you taken in cloud computing? On top of that, robotics, big data, but the most important thing, how to make the technology benefit the citizens. In our case, the students, how we can deliver our classes in a better way. How we can transform the business of university from on campus to study from anywhere. Though we have a very amazing campus in American University of Bahrain. >> Looking forward to covering you guys. Final question for you guys. What's next? What do you guys have coming up in this next year? A lot of activities? What are the goals? What are some of the things you're trying to accomplish? >> Our next thing that we are planning to complete on this cloud project, to shift all our environment to the cloud to success in this, and to implement it in a good way that we can really use it in a good way, because you know, sometimes you will see the cloud and do lose it, but you cannot use it and really benefit way that you can get all the benefit from it. So it show our religion now and our next step to use it inventory. >> I think for us and the American University of Bahrain, we had yesterday an amazing meeting with Teresa, and having our CEO, Dr. Susan in the meeting as well. And I think there is a lot of great anticipation of what we can do together. So something that is put on the table that we want to sort of strengthen this relationship in terms of integrating our courses with AWS, as well as looking forward for new opportunities like training and certificate in the field and so forth. >> This is super exciting, benefits the citizens, students, new educational opportunities, new jobs, new services, whole new oasis. >> I think this is all, it's all about... >> The cloud oasis. This is the Cube coverage. We are here in Bahrain for AWS Summit here. I'm John Furrier, be back with more after this short break.