Unlocking Model Transparency by Karen Settles from Pluralsight

In 2026, Datalere will host Denver Data Dialogues, insights for data leaders, an in-person networking event featuring guest speakers, panels, catered food and more!

This event takes place on the second Tuesday of every month at the Washington Street Community Center. Arrive early to grab dinner from our Chipotle spread and stick around to connect with people exploring new career opportunities and those actively hiring.

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.

On January 13, attendees will have the opportunity to network, provide input on a panel-in-the-round on Agentic AI in 2026, and hear from Karen Settles, Senior Manager of Data Science at Puralsight.

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.

Our panel-in-the-round, featuring data engineers David Booth and Michael Spiessbach from Datalere, will answer important questions on how machine learning helps you understanding how Agentic AI is making valuable improvements to your technology and why it’s making the decisions it’s making. Panel will be moderated by Denver local and data engineering expert Carlos Bossy.

We can't wait to see you there!