Remove Experimentation Remove Finance Remove Testing
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Practical Skills for The AI Product Manager

O'Reilly on Data

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

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Liberty Mutual CIO Monica Caldas on developing a digital-savvy workforce

CIO Business Intelligence

Whether you’re in claims, finance, or technology, data literacy is a cornerstone of our collective accountability. This initiative offers a safe environment for learning and experimentation. We are also testing it with engineering. Simultaneously, on the offensive side, we’ve launched our internal Liberty GPT instance.

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Large banking firms are quietly testing AI tools under code names such as as Socrates that could one day make the need to hire thousands of college graduates at these firms obsolete, according to the report. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

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The bigger the better? Approaching Generative AI by size

CIO Business Intelligence

As the Generative AI (GenAI) hype continues, we’re seeing an uptick of real-world, enterprise-grade solutions in industries from healthcare and finance, to retail and media. Medium companies Medium-sized companies—501 to 5,000 employees—were characterized by agility and a strong focus on GenAI experimentation.

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How CIOs align with CFOs to build RevOps

CIO Business Intelligence

We’ve been doing proof-of-value and different test cases on efficiency opportunities within our organization as it relates to AI,” he says. You can’t have an efficient and effective IT function if you don’t know the finances there. Nor can you help the business if you’re not knowledgeable in the overall finances of the organization.”

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Modernizing bp’s application landscape with AI

CIO Business Intelligence

Fotiou draws on her background in product development and digital transformationfirst in the finance sector and then in bps upstream operationsto help solve downstream challenges in the B2B space, especially in mobility and fleet operations. And it uses AI to automate code testing and other aspects of the digital development lifecycle.

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3 steps to eliminate shadow AI

CIO Business Intelligence

Unmonitored AI tools can lead to decisions or actions that undermine regulatory and corporate compliance measures, particularly in sectors where data handling and processing are tightly regulated, such as finance and healthcare. Review and integrate successful experimental AI projects into the company’s main operational framework.