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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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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 168
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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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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

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Transforming IT from cost center to catalyst

CIO Business Intelligence

In an industry where companies typically relied on third-party consultants to analyze their data, we believed our approach was a slam dunk. It’s easy to blame IT just as it’s easy to blame the consultants. As we become increasingly reliant on AI-generated content, there’s a risk of diminishing original thought and critical thinking.

IT 122