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Two operational priorities that define AI success
1reports1reporting sources2026-03-17Update
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For the business travel industry, successful AI implementation relies on rigorous evals and data governance. Companies should assess whether vendors have custom eval capabilities and strong data foundations to ensure reliability and safety in critical tasks.
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3月17日
- PhocusWire All NewsTwo operational priorities that define AI success
Phocuswright research highlights two operational priorities for translating AI strategy into reality: establishing custom evals and strengthening data governance. Custom evals are structured processes to test AI system quality, performance, and reliability; generic benchmarks are insufficient. Data governance has shifted from back-office to strategic imperative, as AI reliability depends on data quality.