The reasons why companies can’t access AI-ready data [Video]

The promise of artificial intelligence is alluring for enterprises, but reality often tells a different story. Many organizations face a stark divide between where their data stands and where it needs to be for AI, particularly generative AI, to function effectively.

“I do reference an article I wrote in InfoWorld which references a survey from the Enterprise Strategy Group,” said David Linthicum, enterprise technology analyst at theCUBE Research. “The report that surveyed over 800 IT decision-makers revealed that more than three in five organizations have notable gaps in AI readiness, particularly in infrastructure and data ecosystem. This is something I’m seeing as well.”

Linthicum discussed this topic and more as part of theCUBE’s ongoing AI Insights and Innovation series. He delineated the several reasons behind the dearth of AI-ready data, ranging from data silos to poor data hygiene, faulty semantic frameworks and technical debt.

What’s behind the gap in AI-ready data?

One of the primary challenges facing …