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Agentic AI marks a pivotal moment for how work will get done in tomorrow’s enterprise. These five questions will help CIOs better understand how they might restructure IT operations to facilitate business success.
IT leaders don’t lose sleep because they have too few tools. They lose sleep because they have too many.
Analytics dashboards are fading — GenAI and agentic AI are giving orgs real-time insights that lead straight to action, not just reports.
Inconsistent results, hallucinations, and a lack of use cases tolerant to inaccuracies have sent generative AI into a downward hype cycle.
The real magic of AI happens when deep, system-specific smarts meet cross-enterprise intelligence — together they transform work.
The flood of organizational requests for AI requires a strategic and structured approach driven by dedicated teams tightly aligned with business requirements.
Chief digital and information officer Pragati Mathur details how the oil and gas production company moves from AI potential to performance.
Too many AI ideas? The winners are the ones that matter to the business, feel natural to use, and are actually doable.
Hybrid cloud sprawl and vendor fatigue are creating the ultimate irony: Organizations can't use AI to solve their IT problems because their IT problems prevent them from using AI.
Academia follows the industry’s lead with CAIOs and AI strategies embedded at every level.
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