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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. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations.

Risk 111
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. She advises others to take a similar approach.

Strategy 141
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6 keys to genAI success in 2025

CIO Business Intelligence

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. What are the associated risks and costs, including operational, reputational, and competitive? Consultants can help you develop and execute a genAI strategy that will fuel your success into 2025 and beyond.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

The coordination tax: LLM outputs are often evaluated by nontechnical stakeholders (legal, brand, support) not just for functionality, but for tone, appropriateness, and risk. ML apps needed to be developed through cycles of experimentation (as were no longer able to reason about how theyll behave based on software specs).

Testing 174
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AI agents will transform business processes — and magnify risks

CIO Business Intelligence

Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We That means the projects are evaluated for the amount of risk they involve.

Risk 136
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IBM Consulting unveils Center of Excellence for generative AI

IBM Big Data Hub

IBM Consulting has established a Center of Excellence for generative AI. It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. The CoE is off to a fast start.

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5 ways CIOs can help gen AI achieve its lightbulb moment

CIO Business Intelligence

Consultancies and tech vendors often play up the transformative power of gen AI but pay less attention to its shortcomings. Having this policy in place can help to protect against a number of risks concerning contracts, cybersecurity, data privacy, deceptive trade practice, discrimination, disinformation, ethics, IP, and validation.

IT 138