In this episode of "AI in 5,4,3,2,1," Dominic sheds light on humorous yet educational mistakes in AI learning and what we can learn from them for everyday business.

• Explanation of "Overfitting" and how AI systems sometimes focus on the wrong features in data
• Discussion about the risks and costs of building your own AI models and why using and adapting existing models is often more sensible
• The importance of the quality of training data and standardization in dealing with AI
• Tips on how companies can act more efficiently and cost-effectively by cleverly adapting existing models

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