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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. And while static application security testing (SAST) was the top-rated tool for usefulness by 82% of respondents, only 28% claim these tools are used on at least 75% of their code base.

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6 best practices to develop a corporate use policy for generative AI

CIO Business Intelligence

But just like other emerging technologies, it doesn’t come without significant risks and challenges. According to a recent Salesforce survey of senior IT leaders , 79% of respondents believe the technology has the potential to be a security risk, 73% are concerned it could be biased, and 59% believe its outputs are inaccurate.

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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. It also allows companies to experiment with new concepts and ideas in different ways without relying only on lab tests. Here’s how to stay competitive as technology evolves. Leverage innovation.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. The CIO’s job is to ask questions about potential scenarios.

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3 principles for regulatory-grade large language model application

CIO Business Intelligence

For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease. A provider should be able to show a customer or a regulator the test suite that was used to validate each version of the model.

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Generative AI copilots: What’s hype and where to drive results

CIO Business Intelligence

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.