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What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. What is a model?

Risk 111
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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145
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5 strategies for boosting endpoint management

CIO Business Intelligence

Endpoint security requires a comprehensive and flexible strategy that goes way beyond what security teams relied on a decade or more ago. Between June 2016 and December 2021, the FBI recorded over 240,000 national and international complaints about BEC attacks, which cumulatively resulted in losses of $43 billion. Those days are over.

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How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Mitigating risk. Understand your strategic drivers.

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Governance for responsible AI: The easy things and the hard ones

CIO Business Intelligence

The easy things: A clear understanding of AI terminology and risks There’s a host of things that can be established with relative ease early in an organization’s AI journey. This context is important not just to meet your audience where they are, but also to understand risks that are specific to the context of your AI application.

Risk 126
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Captive centers are back. Is DIY offshoring right for you?

CIO Business Intelligence

You’d be forgiven if you’re wondering whether you’ve stumbled on an article from 2016 , but, in fact, the practice of launching an offshore IT center wholly owned and operated by the enterprise it serves is back in vogue with notable twists. Captive centers are on the rise. First, they don’t all last.

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO Business Intelligence

“Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner. The inherent risk is trust.