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The real magic of AI happens when deep, system-specific smarts meet cross-enterprise intelligence — together they transform work.
Hitting pause isn’t wasted time — it’s how leaders refocus, cut the noise and finally get real work done.
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.
Generative AI may dazzle, but predictive AI is the real game-changer for hiring, promotions and workforce planning.
Too many AI ideas? The winners are the ones that matter to the business, feel natural to use, and are actually doable.
Helping key stakeholders understand the IT value creation process is the key to staving off post-mortems of IT projects gone wrong.
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.
Accelerating changes in technology offerings have companies churning through software and services at a hastening pace. But decisions to replace IT assets shouldn’t be taken lightly.
Academia follows the industry’s lead with CAIOs and AI strategies embedded at every level.
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