Companies are sitting on mountains of data. Most of them have no clear plan for what to do with it. The question has shifted from how much data you possess, to how valuable, reliable and ethically usable that data is.
This matters more than ever because AI is only as good as the data it runs on. The principle is well known (garbage in, garbage out) but too few organisations take it seriously enough. Poor data quality leads to flawed conclusions, even before you factor in the hallucinations that AI models can produce on their own. And the stakes are rising: according to the World Economic Forum, fewer than one in five organisations report high maturity in any aspect of data readiness, even as 72% of business leaders say they are increasing investment in data foundations.
In our Trend Report: The business world in 2030, developed in collaboration with trendwatcher Tom Palmaerts, we explore what a genuinely effective data strategy looks like and why it starts with choices, not technology.
This matters more than ever because AI is only as good as the data it runs on. The principle is well known (garbage in, garbage out) but too few organisations take it seriously enough. Poor data quality leads to flawed conclusions, even before you factor in the hallucinations that AI models can produce on their own. And the stakes are rising: according to the World Economic Forum, fewer than one in five organisations report high maturity in any aspect of data readiness, even as 72% of business leaders say they are increasing investment in data foundations.
In our Trend Report: The business world in 2030, developed in collaboration with trendwatcher Tom Palmaerts, we explore what a genuinely effective data strategy looks like and why it starts with choices, not technology.
