The data isn't fit for purpose, but let's crash on with AI anyway! Workiva's global study exposes pragmatism and recklessness combined
Dirty data was always an issue in IT and that's never been more true than today...
Dirty data was always an issue in IT and that's never been more true than today...
There are alternative options outside of data center design to ensure AI growth is sustainable.
Amidst the whirlwind of spring events, a few persistent AI vendors got my attention. How? By returning my email volleys with savvy responses and fresh data. The latest in enterprise AI? Context intelligence, agentic protocols - and why AI is a process accelerator: for better, or worse.
Customers are always the best references and proof points for technology...
The scale of Co-op's recent cyber-incursion was more widespread than it initially seemed with every member impacted. Next up, how to re-build confidence.
US tech firm Palantir has its foot in the data management door at the UK NHS, much to the horror of critics. EVP Louis Mosley takes a very different view, of course.
As part of the diginomica network content series: Red Lobster reduced its disaster recovery time from two weeks to one hour by implementing Pure Storage arrays across its data centers, addressing critical business continuity risks for its 550-restaurant operation.
Pure Storage announced its Enterprise Data Cloud platform at its Las Vegas conference, positioning the technology as a fundamental shift from traditional storage management to unified data governance across hybrid environments.
Memorial Sloan Kettering is on the frontline of the battle against cancer - and AI tech from AWS is the latest weapon in its arsenal.
Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, observability, and enterprise control.
What if the real AI problem isn’t necessarily the model - but the data? Databricks CTO Dael Williamson explains why scientific discipline, not scale, will separate the winners from the noise when organizations are saturated in data.
Two Qlik customers share their experiences of changing the perception of data - and the appeal of trustworthy business intelligence for decision-making.