Well argued piece here on the dangers of machine learning and AI when data is still the weak link
The Economist Intelligence Unit (EIU) found that although 70% of business executives rated analytics as “very” or “extremely important”, just 2% are ready to say they have achieved “broad positive results”
Data is usually the reason- incomplete, inaccessible, out-of-date, corrupted- often all four!
Enterprises often cannot access 60%, 70% even 80% of its data hidden in silos and/or unstructured formats. That's why BI and Analytics so often disappoint and why AI could just supercharge the disappointment.
BI and Analytics needs the whole organisation from frontline to CEO to be team players. See how in "Analytics is a Team Sport". which links to good McKinsey Advice.
Machine learning has received a great deal of hype, and for good reason. But it cannot live up to its bold potential unless it’s informed by a strong foundation: clean, complete data produced by an organization that ingrains data into its culture. The term “data-driven” has been around for years, but in today’s fast-paced and increasingly digital economy, it will need to become a cultural mandate for companies everywhere.