About the talk
Welcome to add to the TV here at the AI Summit New York. We're very pleased to be joined today by Lori. The guy was Chief Information officer at JPMorgan Chase bathroom with New York great great stuff that you just delivered the keynote presentation on the deliver stage this morning about is holding a global Institution for for a I think I would start with the amount of data that we have a great opportunity for us to think about many things customers through
cybersecurity defends all of those things. So I we take our data and that how we evolved everything from how you govern to prioritize the talent that you need the platforms that we should Bill and of course how we make sure that we drive epic and 10 Protection privacy and security throughout what we do in the biggest drive. Would you say that that is kind of bean pot of of Jake and Logan Sunday. I rode back on the cyber security Defense Force active ultimate a prostate so really actually making sure we can deliver better customer experience by reducing faster reducing
the cost of fraud if that's been a great example thinking about new products and services. There are thematic investing using data to help us Saturday. What a stock portfolio might look light and of course everything from how we can drive the next level after the station operational optimization in our business. Is it finally we use our data to provide insights rrj? Institute provides insights and so we think about the social economic issues were all trying to help solve. How can we really provide the data that generates and size is beyond a couple of these
cases and examples and proof of concept focusing on building a model that allows us to last year. I got this is really exciting time to be in the financial sector within a I come to the school. But what do you think is the biggest misconception in terms of AI stand still stay all the problems that you have. You know, I think we've tried to be very thoughtful without what are the Difference Maker use cases. Sometimes you can just use Advanced analytics just off the problem. So I also think I
underestimated how much data does she need you to end up a charity. You need to have around your data management to see a i and then I think people underestimate the way you need to think about creating a platform and driving Dale to make sure that you are in FedEx right level of Epic security or control requirements into Heights Delivery Solutions major Solutions, most major milestones in terms of AI in the basement. We have the biggest impact on the financial things of being do you think I think Advancements in maturity as we have volumes and
volumes of data for us over 400 the data so advancements and data to Quality supercritical to us also financial services are getting more comfortable and leveraging the public cloud. And so making sure that that control requirements are in place to support highly confidential data in the public has been a lot of innovation and that space so nothing but allows us to grow and scale at so a lot of focus on state of privacy Protection security explainability. Most of the escapists be delivered today. All of
them we have to actually be able to explain has really helped us now build and develop the scale that we need one, but I'm looking for pizza then what does a I have installed the Enterprise will the financial sector in particular you think what we going to see in the next two to five years, I think in the next two to five years will continue to see it really Every every part of our business, so whether it's from how we drive continued operational efficiencies how we look for new products and services what really is a product and see how we then also continue to protect
the bank protect. Our customers protect the financial services industry a lot of Innovations going to happen around that I think on the front to support bad, you're going to continue to see a lot of AI as a service that allows companies to be able to bring it to the Forefront at scale more quickly, So a lot of innovation happening in that space and continued Innovation and data quality labeling tag, and of course and acceleration of the Epic by has the kind of things that everybody is worried about I think that's driving a lot of innovation as well.
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