Statistics Key to Building Trust and Preventing Failures in AI Projects

Many AI models lack a solid basis for predicting results, hurting trust and leading to failures. Statistics provides a foundation for stronger AI.

Teams often fail to clearly define the business problem being solved or use the right training data, which causes issues when models are deployed.

Holdout data from the original dataset is not enough to provide a strong basis for inference on future, real-world data.

Many believe statistics is an old technology no longer needed, but it can help prevent major pitfalls in AI projects.

Statistics experts on AI teams can help choose the right problem, data, and methods to improve results and adoption of AI models.