Our experts, John Tackman, Bao Tran, and Lasse Girs, discuss the nature of AI agents, how the ability to reflect is key to making AI autonomy work, and the emerging role of MCP servers and clients that make agentic systems scalable.
AI has gone agentic, making chat interfaces very much last season. Join our Deep Dive to learn all about AI agents, how they perform tasks autonomously and also reflect on their own work. This is also an opportunity to understand Model Context Protocols (MCPs) i.e. the connecting layer in agentic systems, making tools and agents work together smoothly.
As always with our Deep Dives, we keep everything grounded in reality and make it as real and practical as possible! Watch the recording!
In this Deep Dive, you will learn:
- How agents differ from the LLM-based general chat applications most of us are used to
- Key principles for designing a system of autonomous agents
- The role and purpose of MCPs
- Key terms and definitions related to AI agents and agentic systems
- Value drivers for agentic systems
This event is for anyone, be it in business or IT, looking to understand what comes after the chatgpts and copilots of the world.
Watch the recording
Watch the recording
Say hi!
Meet the speakers
-
Bao Tran
AI Architect
-
Lasse Girs
Head of Generative AI Enablement
-
John Tackman
