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The State of Data & AI Literacy in 2026

Wednesday, March 11, 11 AM ET

Key Takeaways

  • See key survey findings on the state of data and AI literacy across enterprises in 2026.
  • Understand the major challenges in AI transformation, workforce upskilling, and productivity.
  • Learn how leaders are overcoming barriers to AI adoption and building more data-literate organizations.

Your Presenter(s)

Lynn Heidmann headshot

Lynn Heidmann

VP of Product Marketing at DataCamp

Lynn is a seasoned marketing and operations leader with over 15 years of experience driving go-to-market strategy, brand positioning, and scalable operations in high-growth tech environments. Before joining DataCamp as VP of Product Marketing, Lynn spent a decade at Dataiku, where she played a key role in scaling the company into a global leader in AI. Previously, she had stints at Google, Niantic, and MixPanel, where she honed her skills in storytelling, user engagement, and data-driven decision-making.

Richie Cotton headshot

Richie Cotton

Senior Data Evangelist at DataCamp

Richie helps individuals and organizations get better at using data and AI. He's been a data scientist since before it was called data science, and has written two books and created many DataCamp courses on the subject. He is a host of the DataFramed podcast, and runs DataCamp's webinar program.

Chat with AI Richie about every episode of DataFramed - all data champs welcome!

Why this matters

As AI becomes embedded in enterprise strategy, data and AI literacy are emerging as critical drivers of productivity and competitive advantage. But how prepared are organizations really? New survey results from enterprise executives shed light on the current state of data and AI literacy—and reveal where gaps, risks, and opportunities lie in 2026.

In this presentation webinar, Lynn Heidmann, VP of Product Marketing at DataCamp, will unpack the findings from a global survey of enterprise leaders. You’ll gain insight into the biggest challenges facing AI adoption, how organizations are approaching upskilling and transformation, and what separates high-performing companies from those still struggling to scale AI impact.

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