Live
On-demand

AI Explained: How to Prevent AI Agents from Going Rogue

February 5, 2026
10:00AM PT / 1:00PM ET
Registration is now closed. Please check back later for the recording.
Virtual fireside chat image for 'AI Explained: How to Prevent AI Agents from Going Rogue' with industry experts, with a play button icon indicating video content.

AI agents are reshaping how enterprises operate. As agents take on decision-making authority across functions, organizations face a transformation of people, processes, and products. With agents acting independently at scale, enterprises need more than deployment strategies. Join David Kenny, Executive Chairman of the Board at Nielsen, for a candid conversation on what it means for the enterprise when agents take over decision-making, and what it takes to maintain control. 

What you’ll learn: 

  • How agents reshape operations, workforce, and enterprise decision-making
  • What new risks emerge when humans delegate authority
  • Why a control plane is essential to operationalizing and scaling agents safely across the organization

AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and ML teams.

Can’t attend live? You should still register! Recordings will be available to all registrants after the event.

Featured Speakers
David Kenny
Executive Chairman
at
Nielsen
David Kenny is Executive Chairman of Nielsen, where he served as CEO from 2018-2023 and led the company's transformation to a digital future. He has spent his career building data science and AI companies focused on marketing and media; leading IBM's Cognitive Solutions division, serving as CEO of The Weather Company, and co-founding Digitas. David currently serves on the Board of Directors for Best Buy and as Chairman of the Board for Teach for America.
Krishna Gade
Founder and CEO
at
Fiddler AI
Krishna Gade is the founder and CEO of Fiddler AI, an enterprise AI Observability startup, which focuses on monitoring, explainability, fairness, and responsible AI governance for predictive and generative models. AI Observability is a vital building block and provides visibility and transparency to the entire enterprise AI application stack. An entrepreneur and engineering leader with strong technical experience in creating scalable platforms and delightful consumer products, Krishna previously held senior engineering leadership roles at Facebook, Pinterest, Twitter, and Microsoft.