Thursday, October 29th, 2026Â | 12 PM ET | 1 hourÂ
Evolving Data & AI Literacy:
The Friedkin Group's Approach to Learning and Innovation
You can't teach an agent what to do if you don't know what you do.
As AI, automation, and new ways of working rapidly reshape the enterprise, organizations are facing a critical question: What does it mean to build a truly data and AI literate workforce today? It takes an ongoing effort to connect the use of data and AI to business value, which must evolve alongside the organization it serves.Â
At The Friedkin Group, what began as a data literacy initiative has evolved into a broader learning ecosystem spanning generative AI, agentic AI, machine learning, automation, and business process reimagination.Â
Join Scott Shimp from Data Society Group and Mark Yujuico from The Friedkin Group for a candid look at that evolution: where they started, what they learned, what they changed, and where they're heading next. We'll explore how the organization is combining foundational learning, project-based education, communities of practice, and individualized support to meet employees where they are while continuing to move the organization forward.
We'll also look beyond the technology itself to an increasingly important lesson: sustainable AI transformation requires more than teaching people how to use new tools. It requires helping them understand the work, processes, and business problems those tools are meant to improve.
Whether you're building a data literacy program, focused on AI enablement, or simply trying to keep pace with rapidly changing workforce needs, you'll leave with practical ideas and a renewed focus on how it all connects to business value.
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Download our Brochure
Our brochure explains the importance of Data & AI Literacy in today's climate and our approach to running a world-class program - a resource for understanding and sharingÂ
Data & AI Literacy's impact.
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Data & AI Literacy initiatives?
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meet our team, and determine the best fit to amplify your progress in Data & AI Literacy.