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Dataiku for Financial Services

The Future of Frugal AI

The increasing focus of banks on the triple bottom line (people, planet, profit), coincides in 2023 with economic pressures that seem “new” for Data & AI. Just a few years ago, the hype around this field made increasing spending a universal lever to get more: more data, more tech, more people. As budgets tighten, Data & AI leaders in banking must now make themselves targets of a transformation that delivers significantly more, for much less.

 

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Want to See ROI From AI?

The key to driving massive ROI from AI after some of the initial high-value use cases is largely about deploying it massively while also controlling costs. But how?

Learn about the three steps to reducing costs associated with AI in this five-minute read.

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Optimize Agility at UBS with Dataiku

Using Dataiku, Standard Chartered Bank deploys successful AI projects, accelerating true value generation while maintaining governed self-service on projects.

See how Dataiku is used for financial reporting, planning, and analysis use cases with speed and at scale.

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Watch the Latest AI & Us Episode in Banking

Explore the boundaries and limitiations of AI in the worlds largest industry in: Dataiku's 'Money and the machine' webisode
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The Power of Data at UBS

The end goal of AI integration for banks is optimizing data processes from the costly effort it is today into a wealth of information that generates true value for the organization at all levels.

Discover the power data has in Banking and read all about it in our new E-Book.

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4 Trends for AI in Financial Services in 2023

Unstable, uncertain, unpredictable: these are just three of the words that have become shorthands for the past three years in the global economy and world politics.

At FSI enterprises in 2023, some AI solutions will be prioritized over others. In this blog, we’ll take a look at four of the trends we expect to see driving the AI-adoption strategies in the FSI industry this year. 

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