As organizations move quickly to integrate AI into their workflows across different departments, the quality of the AI’s training materials – your data – matters more than ever. When AI models are trained on bad data, fairness, financials, compliance, and operational stability can suffer.

You wouldn’t expect a new hire at your company to perform flawlessly on day one, why would you expect it from your AI?

What you’ll learn:

• Four potential pitfalls of training AI models on bad data, from human resources to compliance
• How best practices like a strong data governance policy and continuous data validation apply in real-world scenarios to strengthen new technology