Data Science 2.0 is the shift from dashboards to decision workflows. Suzanne El-Moursi shows how teams can go beyond “reports nobody trusts” to agentic, governed analytics, using a pragmatic stack (infrastructure → composable tools → governance) so insight can flow from ingestion through modeling, validation, and visualization without the usual stalls. We focus on how the data scientist role evolves from dashboard factory to orchestration and stewardship so the right decision happens at the right time. Also in this episode:

• Problems we face in data in different eras of tech;
• The role of a data scientist in the age of AI;
• What parts of the classic data scientist job fade?
• Who does the data evaluation?
• 3 things to learn right now;
• How to make your project AI agent ready?

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Show Notes:

About Suzanne El-Moursi: Co-founder & CEO of Brighthive, a Chicago-based platform building agentic AI for the data lifecycle (BrightAgent) with governance built in; earlier leadership stints at IBM and GE Healthcare; and a board member at Uniting Voices Chicago.

• Brighthive Newsletter on LinkedIn where they share their expertise and observation on the Data Science transformation.
• Follow Suzanne on LinkedIn for more insights.
• Check out Brighthive, Suzanne's company, an AI-powered enterprise data platform that uses coordinated agents to automate the full data lifecycle inside a data warehouse.