I believe that Agentic AI represents one of the most impactful milestones in the evolution of artificial intelligence. Its potential to transform both internal operations and consumer-facing applications is significant, offering innovative solutions and efficiencies across industries.

Head of AI Strategy

It's an extremely interesting subject for several reasons:  inter-agent interaction, which enables decisions to be segmented and therefore “explained” in the best possible way, the ability to mix statistical, physical and AI agents, the possibility offered (real digital twin of an installation)

Data/IA Innovation Manager

Delighted at the possibility to contribute to an amazing topic. We are actively working on deploying multiple agents to drive productivity and resiliency in our operations.

Senior Director AI

There are lots of hype on Generative AI and most recently on AI Agents. But I’ve built AI Agents / RAG solution in global bank with close collaboration with Business (Investment Team, Client Advisors, Portfolio Managers, Analysis) for supporting the Investment / business decisions. And it works !

AI Director

I think Agentic AI will be around while I expect its core will evolve over time. I believe better architecture may come which may replace the LLMs and Transformers models. RL based agents are also fall under autonomous agents.

Sr. AI Research Scientist Lead

The topic of agentic AI is both highly relevant and worthwhile to cover. While these systems still have limitations and aren’t fully mature, many believe they represent the next big breakthrough, likely gaining significant traction by 2025. Discussing the current progress and examining the challenges preventing their full potential could make for a compelling topic

Computer vision and machine learning engineer