The State of AI Adoption

Where Companies Are Getting Traction in 2025

Wednesday, May 28, 2025 | 12:00 - 1:00 PM CT

 
AI adoption has been moving fast, but not always forward.

Over the past two years, we’ve seen early adopters rush in, test ideas, and now begin to adjust their strategies based on what delivered results. Recently, other companies have begun making AI investments as available tools mature and internal capabilities grow. Others are still sitting on the sidelines, watching closely and wondering when—and how—to make their move.

This session unpacks the evolving AI landscape in 2025. We’ll share what we’re seeing across industries, how organizations are adapting their approaches, and what you can do now to set up your team for success, whether you’re already building or just getting started.

Save Your Spot!

Can't make it to the live event? Register anyway and we'll send you the recording afterward!

What We'll Cover

The AI adoption curve—how different organizations are approaching AI based on where they are today

What early adopters are doing differently now after two years of trial and adjustment

How maturing tools and platforms are changing the conversation

What companies still waiting to adopt should be thinking about right now

You'll Walk Away With
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A view of the current AI landscape across industries and maturity levels

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Insights into how leaders are adjusting their strategies as AI evolves

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Practical guidance to evaluate where your organization fits—and what comes next

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Tools to help move forward with clarity, whether you’re starting or looking to expand

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Access to the full recording and supporting materials after the session

Meet the Speakers
Eric Carr Headshot

Eric Carr

President & AI Lead, Compoze Labs

Eric brings 15+ years of experience guiding technology transformations across industries. He leads Compoze Labs' AI practice with a relentless focus on turning promising technology into business results that matter.

Jeff Rogers Headshot

Jeff Rogers

Chief Delivery Officer & Data Lead, Compoze Labs

Jeff's deep expertise in data architecture ensures organizations build the right foundation for AI success. He specializes in transforming fragmented data environments into cohesive systems that power meaningful insights.

Who Should Join

This session is for tech and business leaders who are:

Re-evaluating their AI strategies based on lessons learned

Beginning to invest more heavily in AI as tools and teams mature

Still exploring how and when to jump in—but want to do it right

Responsible for innovation, data, or enterprise transformation

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