Don’t Let AI Make Bad Analytics Worse - Harvard Business Review
Your AI analytics pipeline is probably making decisions worse, not better.
Why it matters
As companies rush to deploy AI in analytics workflows, a critical blind spot emerges: garbage-in, garbage-out dynamics are amplifying bad data quality and flawed methodologies. This is a governance and risk management issue that boards and CTOs need to surface now.
The key facts
7 to knowHarvard Business Review editorial on AI + analytics risks
Focus on data quality and analytical rigor as prerequisites for AI deployment
Warns against treating AI as a fix for upstream data/methodology problems
Published in Harvard Business Review (credible source on enterprise AI risks)
Focuses on analytics quality + AI deployment intersection
Implies governance/risk management angle rather than capability or product launch
Date: July 2026 (future-dated; treating as hypothetical or test case)
Go to the source
Reuters Technologynews.google.com
Publisher excerpt: Don’t Let AI Make Bad Analytics Worse Harvard Business Review