Bridging the AI Hype Gap in Business Intelligence
AI-powered analytics promises instant answers, but accuracy gaps, inconsistent results, and governance blind spots leave BI leaders and analysts hesitant to trust the insights provided. This research report shows where AI delivers, where it falls short, and the guardrails needed to restore confidence when it comes to BI tools.
What You'll Learn
Reality vs. Hype
Why generative AI often struggles with structured queries and how “wrong answers” erode trust.
Performance Benchmarks
Independent accuracy and consistency results across leading AI conversational analytics approaches.
Practical Gaurdrails
How expert-in-the-loop workflows and certified query reuse minimize risk and increase trust.
Governance Standards
What you should require from vendors around observability, transparency, and data privacy.
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