The 12 Biggest AI Mistakes to Avoid

Artificial intelligence is revolutionizing businesses, but it's not without its challenges. Discover the biggest AI mistakes organizations make, and learn how to sidestep these pitfalls, ensuring a smoother path to successful artificial intelligence integration.

[yaycray]

- Not going all-in on AI
- Lack of business goals
- Poor data quality
- Neglecting to involve the right stakeholders
- Insufficient expertise
- Over-reliance on black box models
- Inadequate testing & validation
- Not planning for the long run
- Ignoring ethical & legal considerations

The title says 12 biggest mistakes but I count 9. Interesting points, though!