AI tools can sometimes produce "hallucinations," or inaccurate information, with error rates ranging from 22% to as high as 94%
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Choosing the right business intelligence tool can be tricky, especially with so many options out there. In this post, I’m breaking down picks from a trusted list like Tableau and Power BI
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Picking the right business intelligence tool can feel overwhelming. In this post, I break down how to choose from a curated list of easy-to-use options like Tableau for visual storytelling and Looker for flexible data modeling
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Trusting AI in your business means more than just good results. This article digs into how explainability, consistency, and aligning AI with your business logic help avoid risks like costly hallucinations or a missing audit trail
AI tools can sometimes produce "hallucinations," or inaccurate information, with error rates ranging from 22% to as high as 94%
Shipping AI features in 2026 means navigating a fast-changing landscape where user adoption can make or break success. Take Copilot, for example—it now has a 30% acceptance rate among users, showing that thoughtful integration drives real engagement
AI hallucinations can quietly drain agencies’ time and budget—costing an average of 4.3 hours per week just to catch errors in client deliverables. When mistakes slip through, clients lose trust and projects stall