The Agentic Lifecycle with Opik: Trace, Evaluate, Iterate
Hosted by Abby Morgan and Hugo Bowne-Anderson
Thu, Feb 26, 2026
11:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course


Thu, Feb 26, 2026
11:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course


What you'll learn
Tracing your agent's reasoning
Building evaluation pipelines for agents
Live end-to-end agentic build
Why this topic matters
You'll learn from
Abby Morgan
AI Engineer at Comet, ex-Springboard
Abby Morgan is an AI Research Engineer and Developer Advocate at Comet, where she helps teams build reliable ML and LLM systems. She creates technical content on MLOps, LLMOps, and generative AI, and speaks on experiment tracking and observability at scale.
Hugo Bowne-Anderson
AI & data engineer, consultant, educator of 3+ million students (ex-Yale)
Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry podcast Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.
