Data Management | News, how-tos, features, reviews, and videos
Environmental, social, and governance (ESG) reporting is proving to be a complex endeavor founded in data. And that’s putting CIOs at the center of these increasingly important initiatives.
Achieving data-driven success is challenging enough without the following common strategic and tactical missteps and misjudgments that can derail data operations and outcomes.
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.
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
With ethical considerations around AI use increasingly top of mind, IT leaders are developing governance frameworks, establishing review boards, and coming to terms with the difficult discussions and decisions ahead.
For most organizations, data in the form of text, video, audio, and other formats is plentiful but remains untapped. Here’s how to unlock business value from this overlooked data trove.
AI has sucked all the air out of the room of late, but the tech that makes AI possible, keeps the business humming, and advances the core mission of IT and the business too often goes overlooked, unused, and underfunded.
Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways to deploy customized LLMs that are faster, easier, and, most importantly, cheaper.