India, Aug. 10 -- Every boardroom today carries an AI mandate, and yet very few enterprises can point to AI initiatives that have genuinely moved the needle on business outcomes. Having worked with organizations across the US and India on their data and AI journeys, I have watched the same failure patterns repeat themselves, and they rarely have anything to do with the technology itself. They have far more to do with foundations, expectations, and organizational will.

AI is only as good as the data layer beneath it. When data sits fragmented across silos, inconsistent in quality and definition, even the most sophisticated models struggle to deliver value. It is worth noticing why platforms like Databricks have positioned themselves so de...