Making Data Simple Replay: Agentic AI and the End of Deterministic Decision Trees with Megan Gallagher from Maven AGI
Hit replay on one of the most thought-provoking Agentic AI conversations on Making Data Simple. GTM Account Director Megan Gallagher makes the case for Agentic AI from the Maven AGI front lines, where AI agents stop following rigid decision trees and start acting with real autonomy over enterprise workflows.
“We’re still living like everything is deterministic,” Megan argues, “but this new generation of agents is inherently generative and predictive.” In this replay, she unpacks what that shift means for smaller specialized models, using real enterprise data, rethinking “assistant vs person,” and how to get started without boiling the ocean.
If you want to understand how Agentic AI moves from slideware to shipped value, this is the episode to queue up again.
- 01:30 All Great Podcasts start with Drinks
- 05:27 Maven AGI 09:13 Smaller Models! 10:50 Why Maven AGI
- 12:04 The Secret Sauce or Use Case
- 15:13 Typical Client Persona 20:31 Using Enterprise Data 26:19 But AGI, Really?
- 30:12 Assistant or Person?
- 39:06 What's Next?
- 40:28 My Thoughts on Getting Started?
- 46:30 The AI Example
- 49:30 The Maven AGI Pitch
- 53:23 Learning
Maven AGI: https://www.mavenagi.com/
Megan's LinkedIn: https://www.linkedin.com/in/megfgallagher/
Al's LinkedIn: https://www.linkedin.com/in/al-martin-ku/
#AgenticAI #FutureOfAI #MakingDataSimple #MavenAGI #AIAgents #EnterpriseAI #CustomerExperience #AIInProduction #PodcastReplay
Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.