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Putting an End to Data and AI Disasters

Monday, December 22, 11 AM ET

Key Takeaways

  • Reflect on which AI promises lived up to the hype—and which fell short.
  • Hear real (and entertaining) stories of data and AI misfires from 2025.
  • Learn what went wrong, why it happened, and how to avoid the same disasters in 2026.

Your Presenter(s)

Ginger Grant headshot

Ginger Grant

Principal Consultant, The Desert Isle Group

Ginger Grant is the Principal Consultant at the Desert Isle Group, working as an expert in advanced analytic solutions, including machine learning, data warehousing, ETL, reporting and cube development, Power BI, Excel Automation, Data Visualization and training. In addition to her consultant work, she is also a blogger at and global keynote speaker on developments and trends in data. Microsoft has also recognized her technical contributions by awarding her a MVP in Data Platform.

Tey Bannerman headshot

Tey Bannerman

AI Strategy Consultant

Tey is an AI builder and consultant. He advises F500 companies on implementing AI strategy. Previously, he was the first person at McKinsey to become a Partner after being promoted from data analyst.

Brian Evergreen headshot

Brian Evergreen

CEO at The Future Solving Company

Brian runs an advisory, training, & events that helps organizations solve their future problems around technology and AI. He is the author of three books, most recently "Agentic Artificial Intelligence". Brian is also a Senior Fellow at The Conference Board. Previously, Brian was Global Head of Autonomous AI at Microsoft Research.

Benn Stancil headshot

Benn Stancil

Founder at Mode

Benn Stancil is a builder and technology leader. He was founder and CTO at BI platform Mode, joining ThoughtSpot as Field CTO after it was acquired. He regularly writes about data and technology at benn.substack.com. Prior to founding Mode, Benn worked on analytics teams at Microsoft and Yammer.

Why this matters

AI promised to change everything—but did it really? From ambitious claims that fell flat to data mishaps that made headlines, 2025 has been a year full of lessons for anyone working with data and AI. As we head into 2026, it’s time to separate hype from reality and figure out how to make things actually work better next time.

In this holiday panel webinar, four of the greatest minds in the data space—Ginger Grant, Tey Bannerman, Brian Evergreen, and Benn Stancil—will take a lighthearted look back at the biggest promises, pitfalls, and plot twists in data and AI from the past year. You’ll hear stories, rants, and insights as the panel revisits the year’s biggest missteps—and shares how to avoid repeating them. Expect laughs, learning, and a few strong opinions.

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