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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.
No matter how good your ideas are, if you cannot out-execute your competition, you are destined to be overtaken.
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.
To become truly AI-first, your business needs a dual strategy of optimization and innovation
The standard advice for guaranteeing AI safety and accuracy is ensuring human oversight. But even humans have their limits, especially as companies scale up AI deployments.
If you still think enterprise architecture is paperwork and blueprints, you’re already behind — it’s now the engine of digital survival.
Sometimes, the best way to fix a broken organization is to stop breaking it. Here’s what you’re doing to keep your staff from getting real IT work done.
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