Image Title

Search Results for Dave Abrams:

Dave Abrahams, Insurance Australia Group | Red Hat Summit 2018


 

from San Francisco it's the queue covering Red Hat summit 2018 brought to you by Red Hat hey welcome back everyone's two cubes live coverage here in San Francisco California at Moscone West I'm John for a co-host of the cube with my analyst this week co-host John Troy a co-founder of tech reckoning our next guest is Dave Abrams executive general manager of data at Insurance Australia group welcome to the cube thanks for having me we were just you know talking on an off-camera before we came on about the challenges of data as cloud scale you guys have been around for many many years yeah you're dealing with a lot of legacy yeah you guys out right on the front step what's going on with you take a minute to explain what you guys do in your role in your environment absolutely now it's you know so we're we're large insurance trying we we've got offices in New Zealand and across Southeast Asia so we're kind of expanding out in our in our reach but um we've been around for a hundred odd years and and we've really grown a lot through merger and acquisition over time and so what that's meant ah this is a bit of a byproduct of those kind of merge and acquisition process is that data has been siloed and fragmented in different brands and different products and so it's been hard to get for example just a holistic view of a customer what does the customer have all the products they hold you know are they a personal customer as well as a business caste and all that sort of stuff doesn't kind of line up so we've had that big challenge in we've been working over the last couple of years to even just kind of consolidate all that unify that data into one platform so that we can see across the group from from a holistic perspective and and build that single view of customer and that's now helped us sort of understand you know what our customers are doing in and what's important to them and how we can better support them and yeah and offer better services and what are you doing here at Red Hat this week what's what's the objective what are you doing what do you have you know I'm speaking you talking the folk what's the what's the solution with Red Hat well so yeah we're primarily here as a result of the Innovation Awards so we you know we were nominated and we're successful in our in our award for that category in our region which was wonderful we we're really honored with that so we're here because of that we sharing our customer story with the rest of the Red Hat team and the rest of the open-source community around really what it's meant for us to use open source within a big corporate that's kind of traditionally been based on a lot of vendor technology right a live Ben driven predominantly by the big tech vendors you know that have come in and sort of helped us build big solutions and platforms which which were great and wonderful in the fact that you know they they were there and they lasted like ten years plus and that was all good but now because things are changing so fast we need to be more adaptable and and unfortunately those platforms become so entrenched into the organization and and and sort of lock you in that it's a to adjust into it to be adaptable you can't you can't take it out very easily it doesn't even stack up sometimes from a business case so why would we take that technology out we'll just have to dig deeper and we'll just have to spend more right so we're trying to we're trying to re reverse-engineer some of that and the role open source for you guys have been part of new systems recruiting talent everything director what's been a benefit the impact of absolutely it's huge inand you're right I think one of the biggest benefits for us that that really plays out is there is in the talent side right for our people to say not only are we transitioning our organization as a whole and the way we the way we operate but we're really transitioning out people we're transition from kind of the work force that we that we had and they've got us to where we are today but we're now setting ourselves up for the workforce of the future and it is a different skill set it is a different way of approaching problems so you know bringing bring this new technology to the table and allowing people to experiment to learn and to update their skills and capabilities exactly what we what we need for our company so we're pushing that hard yeah that's great it's like a real cultural shift give me maybe transfer transfer over a little bit to the actual tech problem you had right so you multiple countries multiple data warehouses multiple systems yours so what were you looking at and then what was the solution that you kind of figured out and then when yeah when so when I first started the roll a couple of years back we had something like 23 different separate individual data warehouses there were all sort of interconnected and dependent on each other and had copies of each other in each other and it was just it was a little bit of a mess so so the first challenge was to really sort of rationalize and clean up a lot of that so so that's that's what we spent a fair bit of time upfront doing which was basically really acquiring the organization's data from a massive amount of call source systems so in the vicinity of I think we take data from roughly about 150 to 200 call systems and we want to take that data essentially in as close to real time as we possibly can and pump that into her into a and to a new clean unified data Lake right just to make that data all line up so that was the big challenge in the first instance and then the second instance was really a scale problem right so getting the right technology that would help us scale into you know because we've predominately been using our own data centers and keeping a lot of stuff you know in that sort of on-prem mode but we really wanted to be able you know self scale to not only to be able to you know take advantage of cloud infrastructure just to give us that extra computing that extra storage and processing but really also to be able to leverage the the commoditization that's happening in cloud right because you know all all cloud companies around the world commoditizing technology like machine learning and you know artificial intelligence so that it's it's it's available to lots of organizations and the way we see it is really that that we're not going to be able to compete or out engineer those those companies so we need to make it you know accessible and available for our people to be able to use and leverage that innovation on our work as well as is you know do some some smart stuff ourselves are using infrastructures of service OpenStack or what's your solution I mean what are you guys doing solution is yet to use I've been stack is is our first sort of real step into infrastructure-as-a-service so that's really helped us set up like I was showing this morning set up the capability for us to turn our scale in a really cost-efficient way and we've ported a lot of our traditional dedicated you know applications on infrastructure that you know was like appliance based and things like that on to OpenStack now so that we can it gives us a lot more portability and we can move that around and put that in the place where we think gets us the best value so so that's really helped I'm kind of curious you work with Red Hat consulting and was I was I was curious about that process did you was that the result of a kind of a bake-off or we were already Red Hat customers and said oh hey by the way can you give us some advice yeah it really came about I mean we've been working with Red Hat for many years you know and it started back just sort of in the support area of Linux and and rel and using that kind of capability and rit has been there for us for quite a long time now and I think we've sort of done some some Explorer exploratory type exercise with them around you know I've been shifting and The Container well but but what really started the stick was just getting their expertise in from our OpenStack perspective and when you that was a key platform that we really wanted to dive into an enable and so having them there is our partner and helping us provide that extra consulting knowledge and expertise was was what we really needed helped us deliver on that project and we delivered in a mazing ly tight timeframe so it was a fast delivery faster live what about the business impact why people look at OpenStack and some of these new technologies and certainly with the legacy stuff going on you have got all these things everywhere what was the actual business benefits can you highlight like did you get like faster time-to-market was it like a claims issue and what were the key things that you look back and saying well we kicked ass and we did these three things I mean really what it boils down to as faster time-to-market right and just the ability to move quicker so to give you an example the way we used to work is it would take you say probably weeks maybe even longer to to provision and get infrastructure stood up and ready to go for different projects so I meant that there was all this lead time that projects nearly go through before they could start to write code and even start to add value to to customer so we wanted to sort of take that away and and and and that was a that was a big hindrance to to be able to experiment and to be on a play we think so again we want to take that out of the picture in and really free people up to sort of say well the infrastructure is done and it spins up in a matter of seconds now on OpenStack and you can get on with the job of trying something out experimenting and actually delivering and writing code that will that will produce an outcome to launch new applications what was a specific outcome that came from standing up putting that over stack together I see you experimenting result not adding yeah not only in the app spice but more so the biggest the biggest sort of benefit with God is really in the data space where we've now been able to essentially stand up our entire data stack using open source technology and we've never been able to do that before and this is you know this is this is the environment it's allowed us to do that by just allowing for us to do that test and trial and say you know he's kafir you're gonna be the right tool for us is it you know is he gonna we're gonna use Post Chris whatever that is it's allowed us to sort of really do that in a rapid way and then figure that thing out and start to move forward so you know ask our kiss you guys have done a lot of work out there good work so I gotta ask you the question with kubernetes containers now part of the discussion as a real viable way to handle legacy but also new software development projects how do you look at that what it's what's the your your reaction to that as that practitioner yeah you guys excited yeah yeah things in motion what's your what's your color um absolutely it's in fact it's been something that we've kind of had on the radar for quite a while because we've we've we've been working with containers so dock in particular and and and one of the things that you know you come across this just management of containers and just ongoing maintenance of of those kind of things where they start to get a little bit unwieldy a little bit out of control so you know we've been trying to we try to start which started off trying to build our own you know in solution to that is there's a lot of corporates are doing quickly found out less that's it that's a huge engineering challenge so things like kubernetes that have now come along and the investment that's been put in that platform will really open up that avenue for and even seeing just the the new innovation that's been put into our OpenShift here that sort of takes a lot of that management and service you know administration out of the out of the equation few is wonderful for a company like us because at the end of the day we're an insurance company right we're not a we're not a technology engineering company while although we have some capability it's never going to be our our strengths right we're really here to service our customers and and to help them in the times when they need our help you guys are a data company data is critical for any trivet yeah how how is you how we've become more data-driven as a result of all this yeah so so now that we've got our data all in one place and we're able to get their single views of customers we're able to put that data now into the hands of people that can really add value to us so for example into our analytics teams and get them to look for optimization in price or in service claims processing all those kind of good things that that are helping our customers reduce the the time frames that they would normally go through in that part of that experience and I think one of the other things is not only that but also enrich our digital capability right and rich that digital channel so make it more convenient for customers you know where it used to be that customers would come along and it's literally like coming to the organization for the first time every time you know I say fill in that form again from blank you're like we don't know anything about you but now we're able to enrich your form exactly it's very painful I see your name and you know you wanted to show your house tell us all about that house you know what does it made of you know what what type of roof material what's the wall we know all that we've probably seen that house ten times already so why wouldn't we just be able to pre-populate that kind of information and make it more convenient forecasting personalization becomes critical absolutely absolutely I like the way you underscored and told the story just like with cloud you just can't take your broken old IT apps and just throw them up at the cloud you had to you had to do a data exercise and you had to do a consolidation and the cleaning strong and sure that involved open source but you didn't get the tech stack first first you have to picture picture data app and and that was a key part here yeah so that's difficult and that's you know that's one of the things that I think we really we really invested in it was because a lot of the time what we've seen is organizations have sort of attacked the low-hanging fruit like the the the kind of the external the digital data that they might be able to get but not that offline data that's been you know one and and generated by the branch and the call centers and all those kind of areas and we dug in deep and invested in that space and got that right first which really helped us a lot to accelerate and now we're I think we're in a better position we can definitely take advantage of that yeah thanks for sharing your insights here in the cube I gotta ask you a final question as the folks watching that they're looking at you say wow this guy he got down and dirty fixed some things he's gone forward innovative what advice would you give someone watching is pregnant practitioner what have you learned what's the learnings that you've that have been magnified out of this process for you and your view going forward yeah yeah there's a there's a lot of learnings we can share but I think some of the key ones is you know I think there's sometimes a bit of a bit of a sort of attempt to try and solve everything yourself right and and we definitely did that where I try and build it all yourself and do everything right but it's it's a challenge and and use partners and look for look for you know things that are kind of gonna help you accelerate and give you some of the foundational work you don't have to build yourself right you don't have to build everything yourself and I think that acknowledgement is really key so that was one of the big things for us the other thing is you know just just investing early and getting things right upfront life pulling your data and consolidating it into into a single platform even though that takes a lot of time and and it's and it's quite challenging to sort of go back and redo things that's actually a huge investment in a big winter to really help you accelerate at the end that investment upfront does does pay off so congratulations on your Innovation Award thank you Davis is general manager at I I AG insurance Australia group here inside the cube sharing the best practices it's it's a world you got to do the homework upfront open source is the way it's and it's an operating model for innovation the cube bringing you all the action here on day two of coverage stay with us for more live right after this short break

Published Date : May 9 2018

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

ENTITIES

EntityCategoryConfidence
John TroyPERSON

0.99+

Dave AbrahamsPERSON

0.99+

Dave AbramsPERSON

0.99+

New ZealandLOCATION

0.99+

Red HatORGANIZATION

0.99+

ten timesQUANTITY

0.99+

ten yearsQUANTITY

0.99+

first instanceQUANTITY

0.99+

DavisPERSON

0.99+

second instanceQUANTITY

0.99+

San FranciscoLOCATION

0.99+

JohnPERSON

0.99+

Southeast AsiaLOCATION

0.99+

Red HatORGANIZATION

0.99+

first challengeQUANTITY

0.98+

first timeQUANTITY

0.98+

one platformQUANTITY

0.98+

two cubesQUANTITY

0.98+

three thingsQUANTITY

0.97+

this weekDATE

0.97+

firstQUANTITY

0.97+

oneQUANTITY

0.97+

about 150QUANTITY

0.96+

San Francisco CaliforniaLOCATION

0.96+

LinuxTITLE

0.96+

ChrisPERSON

0.96+

OpenStackTITLE

0.96+

a hundred odd yearsQUANTITY

0.95+

todayDATE

0.95+

23 different separate individual data warehousesQUANTITY

0.94+

Insurance AustraliaORGANIZATION

0.94+

single platformQUANTITY

0.94+

OpenShiftTITLE

0.94+

Innovation AwardsEVENT

0.93+

a couple of years backDATE

0.93+

Moscone WestLOCATION

0.9+

day twoQUANTITY

0.88+

singleQUANTITY

0.87+

Red Hat summit 2018EVENT

0.86+

Red Hat Summit 2018EVENT

0.85+

200 call systemsQUANTITY

0.85+

I I AG insurance AustraliaORGANIZATION

0.79+

alia GroupORGANIZATION

0.78+

one of the thingsQUANTITY

0.77+

this morningDATE

0.77+

single viewsQUANTITY

0.75+

last couple of yearsDATE

0.7+

InsuranceORGANIZATION

0.65+

thingsQUANTITY

0.62+

lotQUANTITY

0.6+

yearsQUANTITY

0.56+

secondsQUANTITY

0.53+

ExplorerTITLE

0.5+

GodPERSON

0.49+