What AI Readiness Really Means - with Tim Estes of Digital Reasoning

Automatic TRANSCRIPT

So, Tim will kick things off and get your perspective on what Ai Reading this means. When an enterprise says walked, we want to become a I ready. We want to start using a I what kind of components have to go into that? Yeah, well, I think the first thing is you had to have infrastructure that sounds so basic especially with the cloud bud, the larger enterprises a requires a good functioning process to allocate infrastructure with their on premise or cloud. And then data governance of data can be used for training and validation around any process it's going to be tested. So it's all too often that you know one group in enterprise wants to try something. The aren't really the owners of the data that is required. To validate what they want to try. And they are not the suppliers of the infrastructure. So you might run into a substantial gap. The could take you know a sixty day or thirty day pilot. Or PSE and make it a nine month process because you're waiting on them to sort out data governance and infrastructure availability. So those are two pieces you know something about the education side of it. In terms of you know this this dictation you want to build and educate yourself to understand the difference between certain techniques, but it's always overalled because in the end of the day I I'm a little bit more pragmatic I think there's certain techniques which are better for. Some things and others, but obviously, the most sexy technique that talked about the time or different variations of deep learning. Yeah and we could go into braces but the phillies he'll is in most cases, the customer doesn't have the data sets available to train a really good deep learning class fire and so or an engine of some kind. So I I think that what you find actually is it's not just that they have data general had dated is prepared a certain way. Often to teach a machine that the machine can perform the task and that's really the that's the area. So these maybe the this question you elite in some other things but you know basics, infrastructure data governance I can pull they need to run the test fast and as a as a vendor or someone the outside I mean I would becoming in asking these questions now because I lived through being wishful thinking and. This is really exciting CTO and they want to do this and they have a business stakeholder that wants to do this kind of application. They think we're the answer I've been through that whole dance, and then you find out that of the whole dance that dance might take months four and then you wait nine months for data and infrastructure to be available in the large bank. Yeah. Well, not surprising at all within a large bank you're lucky it's not a eighteen months or something. So you bring up infrastructure you're bringing up data does this mean in the process of speaking to whoever your initial? Champion as your your initial kind of point of contact who you think is GonNa either signed the Checker help sign the check the you really have to be clear that sort of what infrastructure you need to access of what kinds of data you'll need to access of the state of that data with that person and or with whoever they need to rope in serve as part of the process of working to a pilot. So like doing that diagnostic I, guess as you go as you progress forward. Yeah that's right. So I mean I'm naturally gonNA give it more from the vendor sides, of course. But if I flipped the hats and I'm I'm actually in the buyers persona what I wouldn't WanNa do is the last thing I want to do is to put a lot of energy into something that could create real value get excited marketed internally, and then find out that getting infrastructure having data governance process in place where we can get the data necessary to test the system is not really well figured out or is figuring out but the restrictions that make this not work. So I, think that there's a good upfront investment in that but there's a difference between that and sort of what I might call the the Data Lake Panacea. We're everyone wants to have this. Highly Organized Library of data with the Dewey. Decimal system in their enterprise. And that's not gonNA. Prize is unfortunately function. So many it efforts in an enterprise are responsive the business as a higher priority to eating across business lines. That you'll almost never find as you will a pristine data infrastructure. So you really WanNa make sure the process to pull data, put it in the compute environment do that safely and would security sign all's that should be enough to get moving, and so I think if you try to go four steps beyond that. You have much bigger challenge and essentially trying to boil the ocean and I think a lot of people went down that road with all the WHO do vendors to be blood. You know the idea that just got to spend all this money on that and then from that. You end up having all this application. These applications become so easy and here we are five years later it must. We're seeing what applications besides restoring my you know might my loan scores or some other batch structure process? You could probably done some other way.

Coming up next