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Oracle Develops AI-Powered Solution to Fight Money Laundering

Analytics Vidhya

Oracle Financial Services has unveiled an innovative solution aimed at supporting banks’ efforts to combat money laundering. With the increasing complexity of compliance and the staggering $5.05 trillion expected to be laundered this year, the financial sector faces unprecedented challenges.

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Deloitte Data as a Service for Banking: A Modern Data Solution for Banks and Capital Markets Institutions

databricks

As new Generative AI capabilities continue to emerge with heightened customer expectations, data modernization and migration to the cloud have become critical success.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. I’m going to kick things off, and go high level.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Kishore will then double click into some of the opportunities we find here at Capital One, and Bayan will finish us off with a lean into one of our open-source solutions that really is an important contribution to our data-centric AI community. I’m going to kick things off, and go high level.

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Bank of England Governor: AI won’t lead to mass job losses

AI News

Andrew Bailey, Governor of the Bank of England , has rebutted fears that AI will lead to widespread unemployment. By prioritising this now, banks will be well equipped to take advantage of this new technology as it continues to evolve and mature.” Image Credit: Bank of England under CC BY-NC-ND 2.0 DEED license.

Big Data 255
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Is there a “right” cloud strategy for banking?

IBM Journey to AI blog

As public cloud technology and hybrid multicloud architectures are being adopted in financial institutions at an increasing rate, we’re observing that their counterparts in the public sector— central banks—are a long way behind, due at least in part to a profoundly risk-averse approach.

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World Bank’s Machine Learning Model to Save Lives in Low-Income Areas

Analytics Vidhya

Combating Inflation Crisis in Precarious Regions: World Bank’s Revolutionary Machine-Learning Solution Living conditions have been severely affected by the global rise in inflation, particularly in crisis-hit regions, severely impacting households in precarious situations.