Abstract
We are handing over the steering wheel towards business process automation driven by agentic AI. But how do we maintain control when the "thought process" of an agent is hidden inside a black box? When an agent fails, it’s rarely a simple error message it’s a complex chain of misinterpreted goals, faulty tool use, or logic loops. How to light up the think process of agentic AI with open source and closed source?
Topics To Be Covered
Making agentic decision chains observable
Debugging multi-agent workflow failures
Evaluating agent behavior beyond accuracy
Open vs closed observability tooling
From black box to control panel
Who Is This For?
AI platform leaders
ML & LLM engineers
AI product owners
Risk & governance teams
Enterprise architects
Meet Your Speaker
Ardian Friedrich
Technical Sales Engineer, IBM
Ardian Friedrich is a technical specialist at IBM focusing on AI governance, development and deployment of AI and business process automation based on AI. He supports customer AI projects from the idea towards the production environment and ensures that AI is not only stuck in the development phase. He is specialized on planning and implementing agentic workflows and ensures that these workflows are transparent and observable on production environments.
ADDITIONAL INFORMATION
Time & Place
Wed, March 25
12:00 - 12:45
Salon Tiergarten
Classroom Seating
Max. Capacity: 32 Seats
Secure your seat – registration required.
Notes
Agenda for this session
20 min presentation + Audience Q&A
.png)