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Companies are about to waste billions on AI — here’s how not to become one of them
The excitement around AI is real and justified. But with hype cycles come not only sound investment, but also loads of waste.
Join Gen AI enterprise leaders in Boston on March 27 for an exclusive night of networking, insights, and conversations surrounding data integrity. Ten hours of work from your data science team often has 5X the engineering, DevOps, QA, product and SysOps time buried underneath. Worse, pulling back released or promised functionality can lead to customer dissatisfaction and negative market perceptions, especially during a hype cycle.
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