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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

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Gartner Explores Tech Innovations in Integrated Risk Management

John Wheeler

This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. This represents a great opportunity for organizations to utilize risk management technology (RiskTech) to bridge the gap between these seemingly disconnected transformation efforts.

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Want to tackle technical debt? Sell it as business risk

CIO Business Intelligence

That includes maintenance and upgrades deferred in favor of other projects or priorities, which can result in high future costs when those actions can no longer by avoided, often when a solution reaches end-of-life. Here’s where CIOs can rethink their approach to the long-term benefit of their organizations.

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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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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

We need to be ready to respond to our CEO to solve problems with AI,” says Srini Gudipati, CIO of Covanta, a company that specializes in sustainable materials management, including large-scale recycling. There are a lot of risks and a lot of land mines to navigate,” says the analyst. It’s a significant danger with significant costs.

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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. AI is particularly helpful with managing risks. How AI Can Help Suppliers Manage Risks Better. Failure or Delay Risk. Brand Reputation Risk.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

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