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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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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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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. Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts.

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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.

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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.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. In reality, this decision, like any decision regarding data usage, is based on balancing business risk and reward.

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Make Better Data-Driven Decisions with DataRobot AI Platform Single-Tenant SaaS on Microsoft Azure

DataRobot Blog

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.