Skip to content
Tech News
← Back to articles

When old data brings AI rollouts to a screeching halt - and how to manage it

read original get AI Data Management Toolkit → more articles
Why This Matters

The article highlights how the proliferation of enterprise AI has uncovered long-forgotten or siloed data, leading to challenges in data governance and internal security. These issues have caused organizations to pause or reassess AI deployments, emphasizing the importance of effective data management and governance in AI strategies. For consumers and the tech industry, this underscores the need for robust data oversight to fully realize AI's productivity benefits without risking internal data exposure.

Key Takeaways

Gary Yeowell/DigitalVision via Getty

Follow ZDNET: Add us as a preferred source on Google.

ZDNET's key takeaways

AI can boost productivity and improve data access.

Tech leaders have had to halt rollouts due to data concerns.

Long-forgotten insights emerge with AI prompts.

Agentic and generative AI have opened up information and insights to professionals in enterprises. However, evidence suggests that trend could be too much of a good thing. At a recent conference, veterans of enterprise AI rollouts issued cautionary words to professionals considering diving headfirst into AI.

The issues these professionals encountered even led to temporary halts in AI rollouts meant to boost employee productivity, as executives reassessed information that could be exposed internally. At the same time, the executives, who spoke on a panel at the recent Veeam conference in New York City, emphasized that AI wasn't the source of the challenge. Both panelists' organizations had accumulated vast stores of data, and one required a new governance structure.

Also: 96% of IT pros use AI now: Their top 7 agentic applications and biggest implementation roadblocks

Steve MacIntyre, senior vice president at Fidelity Investments, described how his 400,000-employee company saw data long tucked away in the recesses of its organization -- on SharePoint sites or in network-attached storage, for example -- suddenly surface via AI prompts. "It wasn't an AI problem," he said. "It was the productivity and the ability of AI to find things quickly."

... continue reading