Remove Data Governance Remove Experimentation Remove Risk
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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

Risk 111
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

The time for experimentation and seeing what it can do was in 2023 and early 2024. Ethical, legal, and compliance preparedness helps companies anticipate potential legal issues and ethical dilemmas, safeguarding the company against risks and reputational damage, he says. She advises others to take a similar approach.

Strategy 141
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

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AI adoption in the enterprise 2020

O'Reilly on Data

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

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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. Placing an AI bet on marketing is often a force multiplier as it can drive data governance and security investments.

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

CIO Business Intelligence

We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities. We have a data office that focuses on data governance, data domain stewardship, and access, and this group sits outside of IT. Our approach is two-pronged. We have 25% of our employees on Liberty GPT.

Insurance 120
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3 force multipliers for digital transformation

CIO Business Intelligence

Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come. Then, often reporting to risk, compliance, or security organizations, are separate data governance teams focused on data security, privacy, and quality.