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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

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

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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. One of the biggest benefits of AI is that it has led to new breakthroughs in automation. Big data also helps you identify potential business risks and offers effective risk management solutions.

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8 pressing needs for CIOs in 2024

CIO Business Intelligence

“The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Building and deploying intelligent automation CIOs will need to operate more efficiently by accelerating the benefits of automation. Our focus is on curating reusable data and AI insights,” she says.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

The solution brings many business benefits. By promptly identifying and addressing risks, it enhances operational resiliency and enables proactive risk management. The solution also reduces incident response times, optimizes processes and streamlines asset management.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

Some are expecting cost savings using this technology, but there’s also the expectation that they’ll find ways to incorporate this technology [into their company’s products] to strengthen their offerings,” Carmichael adds. “You This is an issue for CIOs. CIOs should first and foremost establish a clear roadmap for implementing generative AI.