Mark Iannelli, AccuWeather & Ed Anuff, Google | Google Cloud Next 2019
>> fly from San Francisco. It's the Cube covering Google Club next nineteen Rock Tio by Google Cloud and its ecosystem Partners. >> Okay, welcome back, everyone. We're here live in San Francisco for cubes coverage of Google next twenty nineteen. I'm suffering my coast, David. Want to many men also doing interviews out, getting, reporting and collecting all the data. And we're gonna bring it back on the Q R. Next to gas mark in l. A. Who's a senior technical account manager? AccuWeather at enough was the director product manager. Google Cloud Platform. Now welcome back to the Cube and >> thank you for >> coming on. Thank you. >> You got a customer. Big customer focus here this year. Step function of just logo's growth. New announcements. Technical. Really good stuff. Yeah. What's going on? Give us the update. AP economies here, full throttle. >> I mean, you know, the great thing is it's a pea eye's on all fronts. So what you saw this morning was about standardizing the AP eyes that cloud infrastructure is based on. You saw, You know, how do we build applications with AP eyes at a finer grained level? Micro services, you know, And we've had a lot of great customer examples of people using, and that's what you know with AC. You weather here talking about how do you use a P ice to service and build business models reached developer ecosystems. So you know. So I look at everything today. It's every aspect of it brings it back home tape. Yas. >> It's just things that's so exciting because we think about the service model of cloud and on premise. And now cloud, it's integration and AP Eyes or Ki ki and all and only getting more functional. Talk about your implementation. Aki weather. What do you guys do with Apogee? Google clouds just chair. What >> would implementation is so accurate? There's been running an AP I service for the past ten years, and we have lots of enterprise clients, but we started to realize we're missing a whole business opportunity. So we partnered with Apogee, and we created a new self survey P developer portal that allows developers to go in there, sign up on their own and get started. And it's been great for us as far as like basically unlocking new revenue opportunities with the FBI's because, as he said, everything is a p i cz. We also say everything is impacted by the weather. So why not have everyone used ac you other empty eyes to fulfill their weather needs? >> It wasn't like early on when you guys were making this call, was it more like experimenting? Did men even have a clue where they're like You's a p I I was gonna start grass Roots >> Way knew right >> away like we were working very heavily with the enterprise clients. But we wanted to really cater to the small business Is the individual developers to weather enthusiasts are students. Even so, we wanted to have this easy interface that instead of talking to a sales rep, you could just go through this portal and sign upon your own. It get started and we knew right away there is money to be left or money to be had money left on the table. So we knew right away with by working with apogee and creating this portal, it would run itself. Everyone uses a P eyes and everyone needs to weather, so to make it easier to find and use >> and what was it like? Now let's see how >> it we've been using it now for about two years, and it's been very successful. We've we've seen great, rather revenue growth. And more importantly, it's worked as a great sales channel for us because now, instead of just going directly to an enterprise agreement and talking about legal terms and contracts, you can go through this incremental steps of signed up on your own. Do a free trial. Then you could buy a package. You can potentially increase your package, and we can then monitor that. Let them do it on their own, and it allows us ability to reach out to them and see could just be a new partner that we want to work with, or is there a greater opportunity there? So it's been great for us as faras elite generator in the sales channel to really more revenue, more opportunities and just more aware these'LL process a whole new business model. It's amore awareness, actually replies. Instead, people were trying to find us. Now it's out there and people see great Now it Khun, use it, Get started >> Admission in the back end. The National Weather Service, obviously the government's putting up balloons taking data and presumably and input to your models. How are they connecting in to the AP eyes? Maybe described that whole process. Yeah. Tilak, You other works >> of multiple weather providers and government agencies from around the world. It's actually one of our strengths because we are a global company, and we have those agreements with all kinds of countries around the world. So we ingest all of that data into our back and database, and then we surface it through our story and users. >> Okay, so they're not directly sort of plugging into that ap economy yet? Not yet. So we have to be right there. Well, I >> mean, for now we have the direct data feeds that were ingesting that data, and we make it available through the AC you other service, and we kind of unjust that data with some of our own. Augur those to kind of create our own AccuWeather forecast to >> That's actually a barrier to entry for you guys. The fact that you've built those pipelines from the back end and then you expose it at the front end and that's your business model. So okay, >> tell about that. We're where it goes from here because this is a great example of how silly the old way papering legal contracts. Now you go. It was supposed to maybe eyes exposing the data. Where does it go from here? Because now you've got, as were close, get more complex. This is part of the whole announcement of the new rebranding. The new capabilities around Antos, which is around Hey, you know, you could move complex work clothes. Certainly the service piece. We saw great news around that because it gets more complex with sap. Ichi, go from here. How did these guys go? The next level. >> So, you know, I think that the interesting thing is you look at some of the themes here that we've talked about. It's been about unlocking innovation. It's about providing ways that developers in a self service way Khun, get at the data. The resource is that they need ask. They need them to build these types of new types of applications and vacuum weather experience and their journey on. That's a great example of it. Look, you know, moving from from a set of enterprise customers that they were serving very well to the fact that really ah, whole ecosystem of applications need act needs access to weather data, and they knew that if they could just unlock that, that would be an incredibly powerful things. So we see a lot of variants of that. And in fact, a lot of what you see it's on announcements this morning with Google Cloud is part of that. You know, Google Cloud is very much about taking these resource is that Google is built that were available to a select few and unlocking those in a self service fashion, but in a standard way that developers anywhere and now with andthe oh, switches hybrid a multi cloud wherever they are being able to unlock those capabilities. So why've you? This is a continuation of a P. I promise. You know, we're very excited about this because what we're seeing is more and more applications that are being built across using AP eyes and more more environments. The great thing for Apogee is that any time people are trying to consume AP eyes in a self service fashion agile way, we're able to add value. >> So Allison Wagner earlier was we asked her about the brand promise, and she said, We want our customers, customers they're not help them innovate all the way down our customers customers level. So I'm thinking about whether whether it gets a bad rap, right? I mean, >> look at it >> for years and we make make jokes about the weather. But the weather has been looked uncannily accurate. These they used to be art. Now it's becoming more silent. So in the spirit of innovation, talk about what's happening just in terms of predicting whether it's, you know, big events, hurricanes, tornadoes and some of the innovation that's occurring on that end. >> Well, I mean, look at from a broader standpoint to weather impacts everything. I mean, as we say, you look at all the different products out there in the marketplace that use whether to enhance that. So there's things you can do for actionable decisions, too. It's not just what is the weather, it is. How can whether impact what I'm doing next, what I'm doing, where I go, what I wear, how I feel even said every day you make a conscious and subconscious decision based on the weather. So when you can put that into products and tools and services that help make those actionable decisions for the users. That makes it a very, very powerful products. That's why a lot of people are always seeking out whether data to use it to enhance their product. >> Give us an example. >> What So a famous story I even told Justin my session earlier. Connected Inhaler Company named co hero they use are FBI's by calling our current conditions every time a user had a respiratory attack over time, it started to build a database as the user is using your inhaler. Then use machine learning to kind of find potential weather triggers and learn pattern recognition to find in the future. Based on our forecast, a p I When white might that user have another attack? So buy this. It's a connected health product that's helping them monitor their own health and keep them safe and keep them prepared as opposed to being reactive. >> The inhaler is instrumented. Yeah, and he stated that the cloud >> and that's just that's just one product. I mean, there's all kinds of things connected, thermostats and connect that >> talks about the creativity of the application developer. I think this highlights to me what Deva is all about and what cloud and FBI's all about because you're exposing your resource products. You don't have to have a deaf guy going. Hey, let's car get the pollen application, Martin. Well, what the hell does that mean? You put the creativity of the in the edge, data gets integrated to the application. This kind of kind of hits on the core cloud value problems, which is let the data drive the value from the APP developer. Without your data, that APP doesn't have the value right. And there's multiple instances of weird what it could mean the most viable in golf Africa and Lightning. Abbott could be whatever. Exactly. So this is kind of the the notion of cloud productivity. >> Well, it's a notion of club activity. It's also this idea of a digital value change. So, you know, Data's products and AP Icer products. And and so now we see the emergence of a P I product managers. You know, you know this idea that we're going to go and build a whole ecosystem of products and applications, that meat, the whole set of customer needs that you might not even initially or ever imagine. I'm sure you folks see all the time new applications, new use cases. The idea is, you know, can I I take this capability or can I take this set of data, package it up us an a p I that any developer can use in anyway that they want to innovate on DH, build new functionality around, and it's a very exciting time in makes developers way more productive than they could have been in >> this talks about the C I C pipeline and and programmable bramble AP eyes. But you said something interesting. I wanna unpack real quick talk about this rise of a pipe product managers because, yes, this is really I think, a statement that not only is the FBI's around for a long time to stay, but this is instrumental value. Yes. What is it? A byproduct. Men and okay, what they do. >> So it's a new concept that has Well, I should say a totally new concept. If you talk to companies that have provided a P eyes, you go back to the the early days of you know, folks like eBay or flicker. All of these idea was that you can completely reinvent your business in the way that you partner with other companies by using AP eyes to tie these businesses together. And what you've now seen has been really, I'd say, over the last five years become a mainstream thing. You've got thousands of people out there and enterprises and Internet companies and all sorts of industries that are a P I product managers who are going in looking at how doe I packet a package up, the capabilities the business processes, the data that my business has built and enable other companies, other developers, to go on, package these and embed them in the products and services that they're building. And, uh, that's the job of a P A. Product measures just like a product manager that you would have for any other product. But what they're thinking about is how do they make their A P? I success >> had to Mark's point there. He saw money being left on the table. Small little tweak now opens up a new product line at an economic model. The constructor that's it's pretty *** good. >> It's shifting to this idea platform business models, and it's a super exciting thing that we're seeing the companies that successfully do it, they see huge growth way. Think that every business is goingto have to transition into this AP I product model eventually. >> Mark, what's the what's the role of the data scientist? Obviously very important in your organization and the relationship between the data scientists and the developers. And it specifically What is Google doing, Tio? Help them coordinate, Collaborate better instead of wrangling data all day. Yeah, I mean, >> so far, a data scientists when we actually have multiple areas. Obviously, we're studying the weather data itself. But then we're studying the use case of data how they're actually ingesting it itself, but incorporating that into our products and services. I mean I mean, that's kind of >> mean date is every where the key is the applications have the data built in. This is to your point about >> unnecessarily incorporating it in, but to collaborate on creating products, right? I mean, you're doing a lot of data science. You got application developers. All right? You're talking about tooling, right? R, are they just sort of separate silos or they >> I mean, we obviously have to have an understanding of what day it is going to be successful. What's gonna be adjusted and the easiest way to adjust it a swell so way obviously are analyzing it from that sense is, >> I say step back for a second. Thiss Google Next mark. What's your impression of the show this year? What's the vibe? What's this day? One storyline in your mind. Yet a session you were in earlier. What's been some of the feedback? What's what's it like >> for me personally? It's that AP eyes, power, everything. So that's obviously what we've been very focused on, and that's what the messaging I've been hearing. But yeah, I mean, divide has been incredible here. Obviously be around so many different great minds and the creativity. It's it's definitely >> talk. What was the session that you did? What was the talk about? Outside? Maybe I was some >> of the feedback. Yeah, I mean, so the session I gave was how wacky weather unlock new business opportunities with the FBI's on way. Got great feedback was a full house, had lots of questions afterwards that followed me out to the hallway. It's was actually running here, being held up, but lots people are interested in learning about this. How can they unlock their own opportunity? How can they take what they have existing on and bring it to a new audience? For >> some of the questions that that was kind of the thematic kind of weaken stack rank, the categorical questions were mean point. The >> biggest thing was like trying to make decisions about how for us, for example, having an enterprise model already transitioning that toe a self serve model that actually worked before we're kind of engaging clients directly. So having something that users could look at and on their own, immediately engage with and connect with and find ways that they can utilize it for their own business models and purposes. >> And you gotta be psychic, FBI as a business model, You got FBI product managers, you got you got the cloud and those spanning now multiple domain spaces on Prem Hybrid Multi. >> Well, that last points are very exciting to us. So, you know, if you look at it, you know, it was about two and a half years ago that apogee became part of Google and G C P got into hybrid of multi cloud with aptitude that we were, you know, the definitive AP I infrastructure for AP eyes. Wherever they live. And what we saw this morning was DCP doubling down in a very big way on hybrid of multi clap. And so this is fantastic four. This message of AP eyes everywhere. Apogee is going to be able Teo sit on top of Antos and really, wherever people are looking at either producing are consuming AP eyes. We'LL be able to sit on top of that and make it a lot easier to do. Capture that data and build new business models. On top of it, >> we'LL make a prediction here in the Cube. That happens. He's going to be the center. The value proposition. As those abs get built, people go to the business model. Connecting them under the covers is going to be a very interesting opportunity with you guys. It's >> a very exciting, very exciting for us to >> get hurt here first in the queue, of course. The cubes looking for product manager a p I to handle our cube database. So if you're interested, we're always looking for a product manager. FBI economies here I'm Jeopardy Volante here The Cube Day one coverage Google Next stay with us for more of this short break
SUMMARY :
It's the Cube covering back to the Cube and Step function of just logo's So what you saw this morning What do you guys do with Apogee? So we partnered with Apogee, and we created a new self survey P developer portal that allows developers Is the individual developers to weather enthusiasts are students. the sales channel to really more revenue, more opportunities and just more aware these'LL and presumably and input to your models. So we ingest all of that data So we have to be right there. mean, for now we have the direct data feeds that were ingesting that data, and we make it available through the AC you other service, That's actually a barrier to entry for you guys. which is around Hey, you know, you could move complex work clothes. And in fact, a lot of what you see it's on announcements this morning with So Allison Wagner earlier was we asked her about the brand promise, and she said, So in the spirit of innovation, So there's things you can do for actionable decisions, too. attack over time, it started to build a database as the user is using Yeah, and he stated that the cloud I mean, there's all kinds of things connected, thermostats and connect that I think this highlights to me what Deva is all that meat, the whole set of customer needs that you might not even initially or But you said something interesting. All of these idea was that you can completely reinvent your business in the way that you partner He saw money being left on the table. It's shifting to this idea platform business models, and it's a super exciting thing that we're seeing the the relationship between the data scientists and the developers. but incorporating that into our products and services. This is to your point about I mean, you're doing a lot of data science. I mean, we obviously have to have an understanding of what day it is going to be successful. Yet a session you were in earlier. So that's obviously what we've What was the session that you did? Yeah, I mean, so the session I gave was how wacky weather unlock new business opportunities some of the questions that that was kind of the thematic kind of weaken stack rank, the categorical questions were So having something that users could look at and on their own, immediately engage with and connect with And you gotta be psychic, FBI as a business model, You got FBI product managers, you got you got the cloud So, you know, if you look at it, going to be a very interesting opportunity with you guys. The cubes looking for product manager a p I to handle our cube database.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Justin | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Allison Wagner | PERSON | 0.99+ |
FBI | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Mark Iannelli | PERSON | 0.99+ |
David | PERSON | 0.99+ |
Martin | PERSON | 0.99+ |
Apogee | ORGANIZATION | 0.99+ |
Mark | PERSON | 0.99+ |
thousands | QUANTITY | 0.99+ |
AccuWeather | ORGANIZATION | 0.99+ |
Abbott | PERSON | 0.99+ |
G C P | ORGANIZATION | 0.98+ |
about two years | QUANTITY | 0.98+ |
National Weather Service | ORGANIZATION | 0.98+ |
eBay | ORGANIZATION | 0.98+ |
Deva | PERSON | 0.97+ |
one product | QUANTITY | 0.97+ |
this year | DATE | 0.97+ |
apogee | ORGANIZATION | 0.97+ |
one | QUANTITY | 0.96+ |
One storyline | QUANTITY | 0.96+ |
today | DATE | 0.96+ |
about two and a half years ago | DATE | 0.94+ |
first | QUANTITY | 0.94+ |
Ed Anuff | PERSON | 0.93+ |
Google Cloud Platform | TITLE | 0.91+ |
Connected Inhaler Company | ORGANIZATION | 0.91+ |
Tilak | PERSON | 0.91+ |
this morning | DATE | 0.91+ |
AP | ORGANIZATION | 0.91+ |
Day | QUANTITY | 0.9+ |
2019 | DATE | 0.87+ |
Google Club | ORGANIZATION | 0.85+ |
Google Cloud | ORGANIZATION | 0.84+ |
C I C | TITLE | 0.82+ |
Tio | PERSON | 0.82+ |
twenty nineteen | DATE | 0.79+ |
Google Cloud | TITLE | 0.79+ |
Africa | LOCATION | 0.78+ |
Rock Tio | EVENT | 0.75+ |
Prem Hybrid Multi | COMMERCIAL_ITEM | 0.74+ |
Antos | ORGANIZATION | 0.69+ |
last five years | DATE | 0.68+ |
people | QUANTITY | 0.66+ |
past ten years | DATE | 0.66+ |
Lightning | LOCATION | 0.65+ |
Jeopardy Volante | PERSON | 0.65+ |
Teo | PERSON | 0.59+ |
four | QUANTITY | 0.58+ |
second | QUANTITY | 0.55+ |
years | QUANTITY | 0.55+ |
AP Eyes | ORGANIZATION | 0.54+ |
Ki ki | ORGANIZATION | 0.51+ |
nineteen | DATE | 0.46+ |
Cube | ORGANIZATION | 0.4+ |
Sizzle Reel | Google Cloud Next 2019
so at the starting at the Google level we have data centers in four continents so we're in North America South America Asia and Europe of course we have a probably one of the world's largest global private networks with you know 13 undersea cables that are our own and hundreds of thousands of miles of dark fiber and and lit fiber that we you know we operate like I said probably one of the world's largest networks we have in in Europe were in five countries in Europe we're in two countries in Asia were in one country in South America and that's at the Google and in North America of course we have many many many sites across all of North America that's at the Google level now cloud has 19 regions that they operate in and 58 zones so each region of course has multiple zones in it you know we cover Google has presence in over 200 countries worldwide so really it is truly global operations so AccuWeather has been running an API service for the past ten years and we have lots of enterprise clients but we started to realize we are missing a whole business opportunity so we partnered with a eg and we created a new self-serve API developer portal that allows developers to go in there sign up on their own and get started and it's been great for us as far as like basically unlocking new revenue opportunities with api's because as you said everything is api's we also say everything is impacted by the weather so why not have everyone use a cue other api's to fulfill their weather needs I think if you look at what's going on and I talk to a lot of customers and developers and IT teams and clearly I think they are overwhelmed with the different things which are going on in this space so how do you make it simple how do you make it open how do you make it hybrid so you have flexibility of choices becoming top of the mind for many of the users now the lock in which many vendors currently provide it becomes very difficult for many of this users people moving around and meet the business requirements so I think having a solution and technology stack which is really understanding that complexity around that and making it simple in after dock I think is important so the focus well there's a theme in a couple different levels the broad theme is a cloud like no other because we've introduced a lot of new different features and products and programs we introduced anthos this morning which was really revolutionary way of using containers broadly Multi cloud hybrid cloud so it's from a product standpoint but it's also a cloud like no other because it's about the community that's here and it's truly a partnership with our customers and our partners about building this cloud together and we see the community as a really key part of that it's really core to Google's values around openness open-source technology and really embracing the broader community to build the cloud together well you know I think it continues to be continues to cooperate in the technical community very well and a couple of data points right one is around kubernetes that started what four or five years ago and that's going really strong but more importantly you know as the industry matures there are what I would call special interest groups that are starting to emerge in the kubernetes community one thing that we are playing very close attention to is the storage sake which is the ability to federated storage across multiple clouds and how do you do it seamlessly within the framework of googan IDs as opposed to trying to create a hack or a one-off that some vendors attempted to do so we try to take a very holistic view of it and make sure I mean the industry we are in it's time to drive volumes and volumes drive standards so I think we play very very close I think one of the biggest things that I'm seeing in this entire conference to date has been almost a mind shift change I mean this is conferences called Google Next and for a long time that's been one of their biggest problems they're focusing on what's next rather than what is today and they're inventing the future - almost at the expense of the present I think the big messaging today was both about reassuring enterprises that they're serious about this and also building a narrative where they're now talking about coming at this from a position of being able to embrace customers where they are and speak their language I think that that's transformative for Google and it's something I don't think that we've seen them do seriously at least not for very long I think that there's no question that this is a data game and we said early on John and the cube that big data war was going to be one in the cloud the data was going to reside in the cloud and having now machine intelligence applied to that data is what's giving companies competitive advantage and scale and economics I was struck by the stats that Google gave at the beginning of the keynote today Google in the last three years has spent 47 billion dollars on capital expenditures this year to date alone they've spent 13 billion dollars in capex and data centers 13 billion it would take IBM three and a half years to spend that much in capex it would take Oracle six years so from an economic standpoint in a scale standpoint Google Microsoft and Amazon are gonna win that game there's no question in my mind I am a student of AI I did my masters and PhD in that and I went through that change in my career because we had to collect the data match it and now analyze it and actually make a decision about it and we had a lot of false positives in some cases know something of which you don't want that either and what happened is our modeling capabilities became much better and we with this rich data and you actually tap into that data like you can go in there the data is there and disparate data we can pull in data from different sources and actually remove the outliers and make our decision real time right there we didn't have the processing capability we didn't have a place like pops up where global can scan and bring in data at hundreds of gigabytes of data that's messaging that you want to deal with at scale no matter where it is and process that that wasn't available for us now it's a real it's like a candy shop for technologists all the technologies in our hands and we want all these things so if you look at that category of that repetitive work AI can play a really amazing role in helping alleviate that mundane repetitive work and so you know great example of that as smart composed which hopefully you've used yep and so what we look at is things like say a salutation in an email where you have to think about who are you addressing how do you want to address them how do you spell their name we can alleviate that and make your composition much faster so the exciting announcement that we had today was that we are leveraging the Google assistant so the assistant that you're used to using at home via your home devices or on your phone and we're connecting that to your Google Calendar and so you'll be able to ask your assistant what you have on your schedule you know know what's ahead of you during your day and be able to do that on the go so you know I think in general one of the unique opportunities that we have with G suite is not only AI for taking these products that consumers know in love and bringing them into the enterprise and so we see that that helps people adopt and understand the products if it also just brings that like consumer grade simplicity and elegance in the design into the enterprise which brings joy to the workplace yeah so we've been working we've been hard at work over the last eight months since our last next can you believe that it's only been eight months and we last last year we were here announcing gk on prem this year we've rebranded CSP to anthos and enlarged it and we've moved it to GA so that's the big announcements in our spotlight we actually walk through all the pieces and gave three live demos as well as had two customers on stage and really the big difference in the eight months is while we're moving to GA now we've been working throughout this time with a set of customers we saw unprecedented demand for what we announced last year and we've had that privilege of working with customers to build a product which is what's unique really yeah and so we had two of those folks up on stage talking about the transformation that anthos is creating in their companies yeah absolutely I think particularly most of the larger enterprise accounts tend to have a multi vendor strategy for almost every category right including cloud which typically is one of the largest pens and you know it's it's typically what we see is people looking at certain classes or workloads running on particular clouds so it may be transactional systems running on AWS you know a lot of their more traditional enterprise workloads that were running on Windows servers potentially running on this year we see a lot of interest in data intensive sorts of analytics workloads potentially running on GCP and so I think larger companies tend to kind of look at it in terms of what's the best platform for the use case that they have in mind but in general you know I they are looking at multiple cloud vendors [Music] you
**Summary and Sentiment Analysis are not been shown because of improper transcript**
ENTITIES
Entity | Category | Confidence |
---|---|---|
Amazon | ORGANIZATION | 0.99+ |
Europe | LOCATION | 0.99+ |
13 billion | QUANTITY | 0.99+ |
Asia | LOCATION | 0.99+ |
ORGANIZATION | 0.99+ | |
North America | LOCATION | 0.99+ |
13 billion dollars | QUANTITY | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
eight months | QUANTITY | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
47 billion dollars | QUANTITY | 0.99+ |
two countries | QUANTITY | 0.99+ |
North America | LOCATION | 0.99+ |
five countries | QUANTITY | 0.99+ |
South America | LOCATION | 0.99+ |
one country | QUANTITY | 0.99+ |
GA | LOCATION | 0.99+ |
two customers | QUANTITY | 0.99+ |
last year | DATE | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
three and a half years | QUANTITY | 0.99+ |
three live demos | QUANTITY | 0.99+ |
hundreds of thousands of miles | QUANTITY | 0.99+ |
hundreds of gigabytes | QUANTITY | 0.99+ |
19 regions | QUANTITY | 0.99+ |
John | PERSON | 0.99+ |
each region | QUANTITY | 0.99+ |
Windows | TITLE | 0.98+ |
six years | QUANTITY | 0.98+ |
over 200 countries | QUANTITY | 0.98+ |
four | DATE | 0.98+ |
one | QUANTITY | 0.98+ |
AWS | ORGANIZATION | 0.98+ |
58 zones | QUANTITY | 0.98+ |
13 undersea cables | QUANTITY | 0.98+ |
this year | DATE | 0.97+ |
today | DATE | 0.97+ |
Google Calendar | TITLE | 0.96+ |
five years ago | DATE | 0.93+ |
four continents | QUANTITY | 0.92+ |
Sizzle Reel | ORGANIZATION | 0.91+ |
both | QUANTITY | 0.9+ |
one thing | QUANTITY | 0.9+ |
Google assistant | TITLE | 0.87+ |
South America Asia | LOCATION | 0.85+ |
this morning | DATE | 0.79+ |
last | DATE | 0.78+ |
last eight months | DATE | 0.77+ |
G suite | TITLE | 0.76+ |
Google Cloud | TITLE | 0.75+ |
lot | QUANTITY | 0.74+ |
two of those folks | QUANTITY | 0.71+ |
customers | QUANTITY | 0.7+ |
last three years | DATE | 0.63+ |
past ten years | DATE | 0.59+ |
AccuWeather | ORGANIZATION | 0.58+ |
eg | ORGANIZATION | 0.57+ |
things | QUANTITY | 0.55+ |
2019 | DATE | 0.51+ |
Google Next | EVENT | 0.51+ |
googan | TITLE | 0.51+ |
year | QUANTITY | 0.43+ |
Ulku Rowe, Google Cloud | Google Cloud Next 2019
>> Live from San Francisco, it's the Cube. Covering Google Cloud Next '19. Brought to you by Google Cloud and its ecosystem partners. >> Okay, welcome back everyone. We're here live in San Francisco on the ground floor here. Day 3 of Three Days of Wall to Wall Coverage, Cube coverage of Google Cloud Next 2019. I'm John Furman, co host Steve Alante. Steve looking good here. >> Thank you, John. I'm feeling good! >> Day three we're getting energy. Our next guest, Ulku Rowe, who is the technical director for financial services for Google Cloud. Thanks for joining us! >> Well thanks for having me, good to be here today. >> So, obviously all the verticals, the big theme here is that all the industries have opportunities with Anthos and all the data driven activities and open source greatness. But financial services is always kind of an early tell-sign. All the trends kind of happen in financial services because the data, whether its algorithmic trading or whatever, is clearly a competitive advantage. From fraud detection to competitive advantage revenue, big driver. That's your sweet spot. What's going on there? What's the signals from the marketplace? How is Google Cloud Next here impacted fina-- What's the big news? What's the big stories? >> It's a very exciting time in financial services. You know Google Cloud is enabling financial services customers across the globe, across all the sub-sectors. Whether you are in retail bank, in capital markets, or asset manager, or a hedge fund, insurance, FinTax. Cloud is enabling all of our customers to transform their businesses to reduce their cost, and to create better and new products. And it is very exciting for them. They're using our, you know, our data platforms to be able to look at the data that they have and understand their customers better to be able to create better experiences for them. Whether it's through chat box, or our contact centers, or better online experiences. They are able to provide more customized products for them. Especially on the trading site, on the retail banks and hedge funds, they're using our high performance compute environments, that our HPC offerings to be able to create better risk management systems to look at their portfolios and understands the risk. Whether it's a credit risk or a market risk, or fraud, or if they use it for anti-money laundering. We're seeing customers in the insurance space to create personalized products, they are streamlining their actual aerial processes. FinTex, obviously are using, you know they're Cloud native. It's very exciting for them to have this opportunity to challenge the big players. >> Don't forget blockchain. It's coming right around the corner, too. So you're a technical director. What does that mean? What is your job? What's your focus? >> It's a number of things. I sit mostly on the engineering side of the house to make sure that our product offering works for financial services. And it includes things like making sure our security offerings, or our compliance works, our data platforms, our computational platforms, higher level services, they do what financial services customers need them to do. I also have the privilege of spending a lot of time with our clients across the globe. And I get a view into what they're thinking about, how Cloud is changing their businesses. >> So we spend a lot of time in New York and 10 years ago when we started the Cube, when you talked to financial services company there were two narratives. One was "Cloud is evil, we're never going to go to Cloud." And the other was "Well we have global scale, "we're going to build on our own Cloud". A couple things have happened, as you know. They're obviously, going hard into Cloud. But they are building their own global Clouds, they're just building it on top of your Cloud. So, talk about that change, and what are some of the big trends that you're seeing today in terms of their adoption? >> Yeah, that has changed quite a bit, the narrative. You know it used to be that "We're never going there" to "Well, maybe we'll go there". And now it's, "How quickly can we get there". And customers are now using, now they're seeing the Cloud as a place to innovate and actually change their businesses. Initially they started maybe as a cost-play because they had big legacy platforms and Cloud came in and the ability to be able to reduce that cost-space especially under the competitive pressures they're in. It initially started with a cost-play. But then it very quickly turned into "This is now my innovation play". "This is how I can change my business. This is how I can stay competitive. This is actually how I can up level my security and compliance". So, it has become very much a partnership between us and our customers to actually think about how the future in financial services is going to be. >> Again, we've been in New York a lot. Back in my (mumbles) late 80s early 90s, I covered a lot, sold and did some system engineering with all the banks, all the financial institutions and other in New York. They're good customers but also they're tough customers. They buy a lot, early adopters on everything new, but they're tough customers. They're very demanding because the stakes are high, money. >> I used to be one of those customers. >> Also risk management. So, they're pushing the envelope, with the RND, buying early. They have stringent demands in terms of performance, also risk and security all kind of come together. So how does that boil into today? What are they looking at? What tires are they kicking here at Google Cloud? What are some of their tough questions and requirements? And obviously security has got to be big then. Your thoughts. >> Exactly. I think financial services is a business of trust. So usually the conversation starts there. And trust is established through security and compliance and privacy and transparency. And that happens to be one of our differentiators. Our security offering actually allows them to create a product for them that is actually even more secure than our on premise settings. The second thing is Hybrid and Multi-Cloud. Especially if you are a financial services institution that's been around a while. You're carrying a lot of legacy. You've got a lot of technical debt. You want to be able to also have flexibility to be able to run your workloads wherever you want. So, Anthos, if I were to pick a word that dominated the conversations with our financial services customers over the last couple of days, it has been Anthos, our Multi Hybrid Cloud solution. The ability to run workloads on-premise, on Google Cloud and on other Clouds at the same time and have that flexibility to be able to choose where to put your workloads depending on your needs has been very exciting for them. >> What specific questions were they asking? Were there certain technical attributes of Anthos that was interesting to them? What was some of that, when they started to look under the hood, what are the conversations like there? >> Well I think the most commonly asked question is how soon can we start? >> So there's demand. >> There is definitely demand. There is definitely demand and excitement. And for the reasons that I've just laid out, to give them the flexibility that they want and the reality that the Prem set up is going to live for a while. So for them to be able to manage this across a single pane, no matter where their workloads are working, it's a big interesting proposition. >> I want to get your reactions on that. We've been doing a lot of customer digging into the requirements around on Prem, Hybrid, Multi-Cloud, and Pure Cloud, and there's a debate around cloud selection. And I was going to read a quote from one of my article that I'm writing right now. I won't say the customer name, we are currently over 500 existing planned cloud efforts across the company, and we're going to support. We've got thousands of networks, data centers, and more than 500 cloud efforts with lead industry leaders. But we want to manage it individually. So, the trend is hey I got a workload. This workload look works great on "X" cloud. This workload works great on "Y" cloud. This workload works great on this other cloud. So (mumbles) we multi-cloud. The workloads are dictating cloud selection. And they still want to manage themselves. So a little bit of control-freak action going on there. But also flexibility on cloud selection. So it's not a one cloud rules the world but, if the one cloud (mumbles) serve the workload. The workloads are driving it. Do you agree with that, are you seeing the same thing? Yeah, I think what's important to financial services clients is to be able to have skill and reliability. And they've started on this journey first with standardization and that standardization was offered by (rambles) containerization. So they already started taking their legacy workloads and started containerizing them so that they can actually now put them no matter where they want. And now, on top of that (rambles) and containerization availability, the services that Anthol springs, observability and security and a single control plane, is now, I think, an extension of the desire for standardization. Which brings the security and reliability across the board. >> Sounds like an operating system to me. Cloud operating system maybe? >> It is, yes. >> We talk about an operating-- >> Yes, yes. >> (rambling) clouds, its operating (rambling) clouds. >> No, it used to be Unix was the operating system, Anthos is the operating system of the Cloud. >> What's the disruption conversation like? Cause banking really hasn't been highly disrupted, but I've certainly heard CIO's in the banking world ask the question, "Well, do banks need physical bags?" and "We're becoming "a software company". But the industry itself hasn't been highly disrupted. The leaders are still really strong, lots of disruption scenarios but, is there a paranoia? Is there, they're obviously aggressive people, are they getting out ahead of the disruption? What's that like? >> Financial services is an industry that's been slow to move to the Cloud in many ways cause it is a very heavily regulated industry, it's got a lot of legacy. But disruption happened, right? FinTex have started happening everywhere. It's a reality of today. I don't think it's whether disruption is going to come, it's here. And I think it's actually creating a very healthy environment in the financial services sector because initially I think that financial services firms were saying, "Wait a minute, I need to "stay competitive." Then it turned into, "Wait a minute, maybe we can be collaborative." So now we're seeing the big players collaborating more and more for FinTex, and now we're seeing a lot more open systems where we've got open banking, open API's, where we're seeing a very healthy ecosystem being created in financial services. >> So I was going to ask you, do you think traditional banks will lose control of the payment systems, or do you feel like this new mindset is going to allow them to maintain their hold on that? >> I don't have a crystal ball, but I think it's going to be more of a collaboration. I think there's going to be more players, I think there's going to be healthy competition and also healthy collaboration across board. >> You mentioned blockchain before. We've had Nick Cucuru from Mastercard on many times. He's talked about their blockchain initiatives. But the other thing that's interesting is, they're actually, as they said, becoming a software company, providing services and becoming more marketing oriented, not just to consumers, but to other businesses. It's fascinating changes. >> One thing that I wanted to ask you is that you mentioned earlier ecosystems open, more collaborative, which we agree. We see that a hundred percent as well. But the interesting dynamic of these big financial institutions is they've had a huge build-out on data centers over the years. Just go back a couple decades, all they've been is gearing up and building out. And now in comes the Cloud, they're not going to just let that on-prem go away, I get that. But now you got new white spaces emerging with Cloud. What Cloud is operating in is not so much knock the big guys off their perch, it's more of white space opportunities for point solutions that could be funded and grow by just being creative. Whether its slinging API's together, or using glue layer software, or some sort of connective tissue around data. >> Yes. >> How does that evolve? Cause New York's got a new renaissance around its entrepreneur ecosystem. >> Yes, New York's becoming the next home of FinTex. >> What are these white space opportunities? Do you see that either service providers, either global service providers, or ecosystem partners could take advantage of. Cause white space is where the opportunities are that's where the ecosystem will develop. Your thoughts? >> So I think you're absolutely right. I think as financial services providers are using Cloud to be able to bring their cost down and handle their legacy, now they have more resources than they can use to create new products, new solutions, new opportunities to be able to reach maybe different kinds of clients that they haven't considered in the past or weren't able to address. Because I think it's all about using their data. Whether its data about their customers to be able to create new products for those customers. Or using market data, I mentioned market data, cause financial services has always been a very data heavy industry looking at the market data to create new trading opportunities, to create new portfolios to understand how the market behaves. What are the correlation differences between different instruments. All of those capabilities, now they can build on Google Cloud with our Cloud partners as well. >> I want to get your thoughts on (rambles) an interview with Apache earlier. Mitt Zavy came on, he's new to the company, only a couple months in, but clearly Apache is going to be a real interesting opportunity because API marketplace is going to evolve from just connecting API (rambles), it'll be much more programmable. This is going to be a big part of it. How do you see that playing into your role, because you're brokering API's now, you're adding more codability to it. Coding API's is now the next level up. What's your thoughts on that? >> Exactly, API is becoming the connective tissue between all the players and the financial services market. I mean, that's how you create the ecosystem. You need a language to talk to each other. And the API's are the ones that are creating that language. And I think it's helping in two ways. One, it is creating this universal language for the providers, and the consumers, and the different players to talk to each other. It is also enabling financial institutions now to expose some of their Legacy systems without having to completely re-engineer them. But to put a veneer on it, containerize them, put an API layer on them so that they can actually be agile in this new world without having to rewrite everything. >> And the business model opportunities or having new business models are emerging from this. We saw AccuWeather came on, was talking about this. This is potentially a money-making opportunity. >> Absolutely. Absolutely. >> We're not just (mumbling) partners. >> Yeah, that's exactly what I mean. >> What are some of the harder technical problems that maybe ten years ago were unsolvable that you've helped customers solve, or that Google is in a best position to solve that you're working on? >> When you think about Google's differentiators one of the places is data analytics NAI. As we talked about it, financial services is a very data heavy business, but unfortunately the data had been sitting in different silos for a very, very long time. And Google's data analytics tools to be able to take all of that data, put it together, and then put that data in front of business people that doesn't necessarily have to have a computer science degree. And to be able to get insights from that data is creating a massive shift in the market. And of course the next stage from that is using our AI and email capabilities to create new insights from that data. At Google we've been using ML and machine learning and I've been embedding them into our products for a very long time. And now our focus is to be able to make it as easy for our customers to do the same in their systems. Everything from how you source that data, how you process that data, and then how do you build the models, how do you train them, how do you execute them and how do you create control over those models? And those are the places that are very attractive to financial services because as you've rightly said, it is a data business and it's important to the core of their business. >> One of the things I want to get your thoughts on. This may or may not be in your wheelhouse, but given your experience I think you might have a comment on this because technology's a big part of the shift. Culture is a big part of the shift. In terms of either mindset, whether its not an age thing, it's more of a mindset thing. But one of the things we're seeing from customers telling us that slowing down adoption on the innovation curve is procurement, and that a lot of these companies have 1995 procurement rules. That's client server, that was before the web started. So procurement, how do you procure a modern Apache API marketplace programmability (rambles) infrastructure's code completely different application renaissance is happening. So you got modern application, multi-cloud, hyper-cloud. There's no rules on procurement. There's no, "Well, split the deal amongst three vendors." You can't do that anymore. Google's great for this Cloud, why even look another cloud, or Amazon. Or Amazon for this, Google for that. So procurement has lagged. >> Yes. >> And so does that get in the way? Do you (rambles) into that? Just generally, what's your comment? How does your procurement evolve? >> I think especially in financial services like procurement takes a long time. In some cases rightly so because you got to make sure you have the right security, you got the right processing in place. But I think it's probably time for us to modernize our procurement processes as well. >> Make it faster. I mean, a lot of the times its on the customer too, not just you guys. Self-services changed the game, certainly. But even just the procurement rules. Well, we're running out of time. Thanks for coming out, I appreciate the insights. >> Great interview. >> Final question. What is the biggest learnings of the past couple of years, now you're starting to see complete visibility into programmability networking layer. Now you get (rambling) service, (rambling) right around the corner. What's the big revelation in your mind of where we are? >> Well, I think, especially for financial services, we've been on this journey for a while. I think the conversation has shifted, I think that was the very first question that you have asked. And I think we are now at the place where it's no longer just experimentation or just doing proof release systems. We now have the customers that are doing mission critical, global systems on Google Cloud. HSBC has been on us with the stage, Scotia Bank, (mumbles), some of the biggest customers. So what have we learned from that experience? I think one, you got to start. You got to start getting your hands dirty. Because it is a different paradigm and it does take a while to learn that. And it is not just a technical paradigm shift, it is a cultural paradigm shift. If you don't start early, its going to take you a while to bring the entire organization with you. Start the technology early, start the cultural transformation early as well. >> Ulku, thank you for come sharing the insights. Congratulations, good work. Financial service, it's a tough business. You guys do a good job, thanks. >> Thank you very much, thanks for having me. >> Live Cube Coach here in San Francisco. I'm John Furrier with Dave Vellante. Stay tuned for more live coverage after the short break. Day three, of Three Days of Wall to Wall Coverage here on The Cube in San Francisco, stay with us.
SUMMARY :
Brought to you by Google Cloud and its ecosystem partners. We're here live in San Francisco on the ground floor here. Thank you, John. Thanks for joining us! good to be here today. What's the signals from the marketplace? to be able to create better experiences for them. It's coming right around the corner, too. I also have the privilege of spending a lot of time And the other was "Well we have global scale, the Cloud as a place to innovate all the financial institutions and other in New York. And obviously security has got to be big then. and have that flexibility to be able to choose So for them to be able to manage this to be able to have skill and reliability. Sounds like an operating system to me. (rambling) clouds, its operating Anthos is the operating system of the Cloud. but I've certainly heard CIO's in the banking world is going to come, it's here. I think there's going to be more players, But the other thing that's interesting is, And now in comes the Cloud, they're not going to just How does that evolve? Do you see that either service providers, new opportunities to be able to reach This is going to be a big part of it. and the different players to talk to each other. And the business model opportunities Absolutely. And now our focus is to be able to make it One of the things I want to get your thoughts on. to modernize our procurement processes as well. I mean, a lot of the times its on the What is the biggest learnings of the past We now have the customers that are doing Ulku, thank you for come sharing the insights. after the short break.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Steve Alante | PERSON | 0.99+ |
HSBC | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
Scotia Bank | ORGANIZATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
John Furman | PERSON | 0.99+ |
Ulku Rowe | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
Amazon | ORGANIZATION | 0.99+ |
Steve | PERSON | 0.99+ |
Mastercard | ORGANIZATION | 0.99+ |
New York | LOCATION | 0.99+ |
thousands | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
FinTex | ORGANIZATION | 0.99+ |
Apache | ORGANIZATION | 0.99+ |
Mitt Zavy | PERSON | 0.99+ |
Nick Cucuru | PERSON | 0.99+ |
two ways | QUANTITY | 0.99+ |
One | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
1995 | DATE | 0.99+ |
first question | QUANTITY | 0.99+ |
today | DATE | 0.98+ |
late 80s | DATE | 0.98+ |
second thing | QUANTITY | 0.98+ |
John Furrier | PERSON | 0.97+ |
Anthos | ORGANIZATION | 0.97+ |
Ulku | PERSON | 0.97+ |
Day three | QUANTITY | 0.96+ |
Day 3 | QUANTITY | 0.96+ |
One thing | QUANTITY | 0.95+ |
ten years ago | DATE | 0.95+ |
single | QUANTITY | 0.95+ |
Google Cloud | TITLE | 0.95+ |
hundred percent | QUANTITY | 0.94+ |
Cloud | TITLE | 0.94+ |
first | QUANTITY | 0.94+ |
more than 500 cloud efforts | QUANTITY | 0.93+ |
a minute | QUANTITY | 0.93+ |
10 years ago | DATE | 0.92+ |
two narratives | QUANTITY | 0.92+ |
single pane | QUANTITY | 0.92+ |
Three Days of Wall to Wall Coverage | TITLE | 0.89+ |
Prem | ORGANIZATION | 0.86+ |
three vendors | QUANTITY | 0.86+ |
AccuWeather | TITLE | 0.86+ |
Cloud | ORGANIZATION | 0.85+ |
Google Cloud | ORGANIZATION | 0.82+ |
Apache | TITLE | 0.8+ |
early 90s | DATE | 0.8+ |
Three | QUANTITY | 0.78+ |
last couple of days | DATE | 0.75+ |
The Cube | TITLE | 0.74+ |
Next '19 | DATE | 0.73+ |
one cloud | QUANTITY | 0.73+ |
over 500 existing planned cloud | QUANTITY | 0.73+ |
couple | QUANTITY | 0.73+ |
New York | ORGANIZATION | 0.72+ |
Anthol | ORGANIZATION | 0.72+ |