Workflows Then Agents: The Practical Approach to Enterprise AI
MLOps World: Machine Learning in Production via YouTube
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
This conference talk from MLOps World: Machine Learning in Production features Julian LaNeve, CTO of Astronomer, discussing a pragmatic strategy for implementing AI in enterprise environments. Learn why many organizations struggle to derive value from complex AI implementations and discover how focusing on reliable LLM workflows can deliver immediate ROI before advancing to agent-based systems. Explore practical approaches to solving real business problems with generative AI today, based on insights also shared in Astronomer's blog "Workflows then agents." The 35-minute presentation offers valuable guidance for teams looking to implement AI solutions that deliver tangible business value rather than getting lost in technological complexity.
Syllabus
Workflows then agents: the practical approach to enterprise AI
Taught by
MLOps World: Machine Learning in Production