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Anomalo’s unstructured data solution cuts enterprise AI deployment time by 30%
Data quality vendor raises new money as it expands its unstructured data quality monitoring technology in a bid to help accelerate enterprise AI deployment.
With the rapid adoption of generative AI, enterprises are increasingly aiming to consume vastly larger amounts of unstructured data. “We believe that by eliminating data quality issues, we can accelerate at least 30% of gen AI deployments,” Shmukler told VentureBeat in an exclusive interview. Unlike traditional structured data quality concerns, unstructured content presents unique challenges for AI applications.
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