Data management and quality are falling short when it comes to what's needed for AI adoption

Data management and quality are falling short when it comes to what's needed for AI adoption
techradar.com

by By Craig Hale • 2 months ago

New research from Hitachi Vantara reveals that many UK businesses are struggling to adopt artificial intelligence due to poor data management and quality standards. 42% of companies cite data quality as a major barrier, with 56% admitting that over half their data remains unanalyzed. A chaotic approach to AI implementation, lacking a solid strategy, further exacerbates these challenges. Hitachi Vantara emphasizes the need for robust data infrastructure and reliable partnerships to enhance AI adoption.

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