Skip to main content
Computer Science
CS
Computer Science
Study
Prospective Students
Current Students
Research
Research Areas
Research Groups
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Administrative Staff
Alumni
Students
News
Events
About
CEMSE Division
Apply
observability
From Prompts to Production: The Systems Agenda for Agentic AI
Marco Canini, Professor, Computer Science
Mar 2, 12:00
-
13:00
B9 L2 R2325
AI
observability
reproducibility
Computer Information Systems
In this talk, I will discuss our recent work on benchmarking, evaluation, and deployment of multi-agent LLM systems, and use it to outline a broader research agenda for agentic AI as a systems discipline - where progress depends not only on better models, but on principled infrastructure for observability, reproducibility, safe experimentation, and scalable execution.
