Agentic AI in 2026

Join a community of data practitioners and analytics leaders exploring the ideas shaping modern data strategy. These sessions center on real-world dialogue around data architecture, AI readiness, and analytics leadership, with an emphasis on collaboration and applicable insight you can take back to work.

Hear from Karen Settles, Senior Manager of Data Science at Pluralsight on Unlocking Model Transparency: Gaining Deeper Insights with SHAP Values:

Machine learning models can help businesses make important decisions, but often the reasoning behind those decisions is indecipherable, and stakeholders may not trust them. SHAP values, derived from game theory, help bring insight into why machine learning models make their predictions, and they can also allow for more targeted, actionable uses. In the talk, Karen Settles will demonstrate the use of SHAP values using practical examples and code snippets.