ABOUT THIS EPISODE
Diana Wu David, Director of Futures at ServiceNow and a top-ranked global futurist, discusses the radical "multi-stack transformation" facing organizations in 2026. Diana explores the stark divide in AI optimism between the East and West, and how this cultural sentiment shapes global adoption. She also outlines a roadmap for leaders to move past "pilot purgatory" by adopting a "strong, fluid stance" — balancing stable, deterministic workflows with the generative potential of AI. The conversation focuses on how the C-suite must now coalesce to orchestrate an agentic workforce, onboarding digital employees and pivoting human talent into high-value revenue streams that were previously unimaginable.
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of AI and Data Horizons.
OTHER EPISODES IN THIS PODCAST
Telisa Yancy discusses the future of insurance in the rapidly evolving digital and AI-driven world. She highlights the significance of insurance as a crucial purchase for individuals and families and the opportunities for transformation in the industry. Telisa emphasizes the role of data and real-t…
As a billion agents join the workforce, Rob Feldman, Chief Legal Officer at EDB, and Priyanka Jain, VP of Product, AI and Governance at EDB, unpack why this newly converged world of AI and data demands a new kind of governance — one that runs 24/7, at agent speed. Together they explain why the ques…
Sarah Fay discusses the topic of personal data ownership and the importance of individuals having control over their own information. We explore the challenges of data privacy and the potential risks of data breaches. The conversation also touched upon the role of regulations like GDPR in protectin…
Daniel Yarmoluk, AI architect and founder of GraphifyMD who is also an adjunct professor at the University of St. Thomas, joins the podcast to discuss why the context window—not raw model power—has become the real bottleneck for enterprise AI. As token consumption soars and agent workforces scale, …
Disclaimer: The podcast and artwork embedded on this page are from Michael Gale, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.