Community sessions for data practitioners and analytics leaders to discuss data architecture and AI readiness, delivering actionable insights to apply at work.

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.

Data Dialogues

Julie Hurwitz

Michelle Gaedke

Sawani Hejib

Jim Vezina

Karen Farbman Settles

alexandrabossy9

Michael Spiessbach

Mukesh

Daniel Holzer

Natesh Ganesh

Tye Brown

Nabheet Sandhu

Rob Browning

Wesley

Amme

Jenny 

Agentic AI in 2026

Washington Street Community Center

A webinar for technology executives, business managers, and developers on seven steps to plan agentic AI projects; outcome: a ready-to-use project plan.

Like any new technology introduction, the more a team plans the project and identifies potential risks, the more likely it will succeed. Today, there is considerable pressure on corporate technology teams to show quick results with agentic AI. However, unless the teams engage in significant pre-project planning, it's likely they will not navigate the issues and pitfalls unique to agentic AI implementations.
This webinar is geared to technology executives, business managers, and developers who oversee their company's charge into agentic AI. During the session, Datalere's consultants will draw on their real-world experience with agentic AI to outline seven steps for planning agentic AI projects. Although the steps follow a standard project management template, Datalere's experts will shine new light on how to apply them to agentic AI projects and workloads.

**You Will Learn:**

1. How to identify pain points that agentic AI can solve
2. How to prioritize agentic AI use cases
3. How to get sponsorship and funding for AI use cases
4. How to assemble and agentic AI product team
5. How to gather business requirements for agentic AI
6. How to evaluate data sources
7. How to define success measures for agentic AI

Data Crunch: Seven Steps to Get Started with Agentic AI

Online event

Carlos Bossy

Grupos

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Carlos Bossy

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