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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

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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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Liberty Mutual CIO Monica Caldas on developing a digital-savvy workforce

CIO Business Intelligence

This team addresses potential risks, manages AI across the company, provides guidance, implements necessary training, and keeps abreast of emerging regulatory changes. This initiative offers a safe environment for learning and experimentation. Fast-forward to today, about 18 months into our journey, and we’re at phase three.

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AI incident reporting shortcomings leave regulatory safety hole

CIO Business Intelligence

Veera Siivonen, CCO and partner at Saidot, argued for a “balance between regulation and innovation, providing guardrails without narrowing the industry’s potential for experimentation” with the development of artificial intelligence technologies.

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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. Big data also helps you identify potential business risks and offers effective risk management solutions. As technology improves, the need for businesses to compete increases. Leverage innovation.

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Transforming IT from cost center to catalyst

CIO Business Intelligence

Balancing risk and innovation Despite these challenges, genAI offers immense potential to enhance employee productivity and create new opportunities. However, its impact on culture must be carefully considered to maximize benefits and mitigate risks. Risk management is essential, but it shouldn’t stifle innovation.

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