New & Notable

AI makes workers faster -- and reviewers busier

AI productivity gains can disappear when review, verification and exception handling pile up elsewhere. CIOs need to measure the downstream work, not just the initial speed.

Self-improving AI is widening what counts as a software change

AI systems are beginning to propose changes to agents' prompts, tools and models. CIOs must decide what counts as a change and how far the evidence lets it travel.

AI vendor lock-in moves beyond the model

Open protocols can connect agents across vendors and clouds, but CIOs still need portable context, controls and business logic to avoid deeper dependencies.

How to avoid data paralysis with a practical AI data strategy

In this podcast, Helena Jochberger and Gaby Martin of CGI explain why starting with a small set of imperfect data can be an effective way to scale agentic AI for the enterprise.

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