Live
On-demand

AI Explained: Agent Wars – The Hype, Hope, and Hidden Risks

July 24, 2025
10:00AM PT / 1:00PM ET
Registration is now closed. Please check back later for the recording.
Virtual fireside chat image for 'AI Explained: Agent Wars – The Hype, Hope, and Hidden Risks' with industry experts, with a play button icon indicating video content.

As enterprises begin incorporating agentic workflows into their systems, excitement is building around the potential for AI agents to plan, reason, and act autonomously. But approaches to building and deploying these systems vary widely as teams explore what works in real-world use.

In this webinar, AI strategist Nate Jones will map the battle lines forming around agentic design, from architectural choices to evaluation discipline, and explore how different development frameworks could shape a future intelligent autonomy or fragile orchestration.

Register for this AI Explained to learn: 

  • Why agent adoption is following a steep power-law curve, and what it means for AI teams trying to catch up.
  • How to choose between architectural trade-offs like single-agent vs multi-agent and modular vs end-to-end designs.
  • How memory, statefulness, and observability impact agent performance and behavior in production environments.

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

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

Featured Speakers
Nate B. Jones
Head of Product
at
Rockerbox
Nate B. Jones is an AI-first product strategist and former Head of Product at Amazon Prime Video, where he led global initiatives in ML personalization, content delivery, and interactive formats for over 200 million viewers. With 15+ years of experience building products across three continents and audiences from 1 to 100 million, he now advises Fortune 500 leaders on translating LLM breakthroughs into real-world impact. Nate also writes a widely read Substack on applied AI strategy and is passionate about mentoring the next generation of product leaders.
Joshua Rubin
Head of AI Science
at
Fiddler AI
Joshua has been a Fiddler for five years. During this time he developed a modular framework to extend explainability to complex model form-factors, such as those with multi-modal inputs. He previously applied deep learning to instrument calibration and signal processing problems in the biotech tools space after outgrowing a career as an experimental nuclear physicist.