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Smaller models, better chips and renewable power help. So does only using AI when you need to.
The American auto giant’s cloud-first strategy has helped drive its shift to ‘software-defined vehicle’ manufacturing, replete with revenue-generating services that make it a cloud software provider as well.
Ensuring productive partnerships between organizational end-users and increasingly intelligent software tools is critical to generative AI strategy success. Expect a rocky relationship in need of coaching and coaxing.
Geopolitical and macroeconomic uncertainty, fallout from the generative AI explosion, and the need to prioritize on a budget top the list of tough, ongoing issues CIOs must navigate this year.
Challenging questions are rising around enterprise AI strategies, and CIOs must at least be able to shape the conversations around these issues if not answer them.
A new year offers fresh opportunities and challenges. Prioritizing your most critical tasks will help you save time and effort.
As the world of technology continues to rapidly evolve, CIOs need to equally sharpen their senses to not just spot red flags but effectively respond to them.
Generative AI has created an unprecedented pace of technological change, but complications of choosing AI vendors have grown in equal measure. So tech leaders need to be equipped with the right questions — and be prepared for answers — to
When it comes to what’s to come — based on where we just were — some priorities for CIOs sound like continuations of maturing works in progress, while others will require greater agility to wrestle with emerging tech still in its in
On the eve of 2023, two and a half years after Covid-19 lockdowns ended in most countries, it appeared to be a return to business as usual for technologists. But then the real disruption came.