LinkedIn·Friday, 7 August 2026·20d ago
If a company like Anthropic only achieved a 21% accuracy rate on its own data without the right business context, what do you think happens…
Felix Van De Maele
Entrepreneur, Founder, CEO of Collibra
If a company like Anthropic only achieved a 21% accuracy rate on its own data without the right business context, what do you think happens inside the average enterprise?
As enterprise AI moves from answering questions to taking autonomous action, poor governance isn't just an accuracy problem. It's a business liability.
Every time your team has to second-guess an output, manually verify a recommendation, or redo an AI-driven task, you're paying the "hallucination tax."
The companies that win the AI era won't necessarily have the best models. They'll have the best control over the context those models use to make decisions.
I break down the three infrastructure priorities technology leaders should focus on before scaling agentic AI in my latest op-ed for BigDATAwire: https://lnkd.in/epZNuxEk
#AIGovernance #EnterpriseAI #DataGovernance #AgenticAI #HallucinationTax
The Hallucination Tax: The Cost of Enterprise AI Choosing Speed Before Governance - BigDATAwire
https://www.hpcwire.com/bigdatawire/2026/07/17/the-hallucination-tax-the-cost-of-enterprise-ai-choosing-speed-before-governance
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