Most organizations have no clear idea of the value of the data they hold on themselves and their customers. According to technology research and consulting firm Gartner, 30 percent of chief data and analytics officers (CDAOs) say that their top challenge is the inability to measure data, analytics, and AI's impact on business outcomes. Gartner also reports that only 22 percent of organizations surveyed have defined, tracked, and communicated business impact metrics for the bulk of their data and analytics (D&A) use cases. “There is a massive value vibe around data, where many organizations talk about the value of data, desire to be data-driven, etc., but there are few who can substantiate it,” said Michael Gabbard, senior director analyst at Gartner.
The increasing use of artificial intelligence (AI) tools by staff ahead of IT departments involvement has resulted in the growing problem of ‘shadow AI’. “Similar to the early days of cloud adoption, workers are using AI tools before IT departments formally buy them. The result is “shadow AI,” employee usage of AI tools through personal accounts that are not sanctioned by - or even known to - the company,” says Silicon Valley-based data protection company Cyberhaven’s report: How Employees are Leading the Charge in AI Adoption and Putting Company Data at Risk.
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