What Percentage of AI Projects Should Fail?
At a CDAO conference I attended recently, a keynote speaker claimed that 90% of AI projects have failed. He said it as a warning, and the audience rec...
- Articles by Michael Bagalman
The Modern Balanced Scorecard: Why It Still Matters
Most executives own a Balanced Scorecard the way they own a high-end juicer. It arrived with great intentions. It wasn't cheap. Everyone swore it woul...
KPIs That Count: Why Fewer Metrics Create Stronger Decisions
Executives aren't suffering from a shortage of metrics. They're suffering from an overdose....
Analytical Discipline Means Think Before You Pull the Trigger
What can firearms training teach us about better data science? "Always cheat and always win." That's the most famous line from Clint Smith, founder of...
The Permission Forecast
A note from contributor Michael Bagalman: The article you are about to read is, superficially, about forecasting. But really, it's about AI. And how f...
Judgment Is the Scarce Resource in Data Science
Most data science failures are not technical failures. They are judgment failures. Technical excellence is table stakes… but executives should evalu...