A Leadership Forum for Data Engineers and MLOps
Join us for an intensive session bringing together senior data engineers and ML practitioners. We'll explore the intersection of modern data architecture and ML operations, focusing on building scalable platforms that serve both analytics and machine learning needs.
Event Highlights
1:00 PM - 1:15 PM | Welcome & Introduction
1:15 PM - 1:40 PM | Keynote Session: Implementing RAG Using LangChain by Pavan Belagatti
We will explore the journey of building AI applications, highlighting LangChain as a versatile and powerful framework for developing intelligent AI solutions and Retrieval-Augmented Generation (RAG) systems.
This session will delve into LangChain’s core components, guiding principles, and its pivotal role within the generative AI development stack. We’ll showcase its unique advantages and practical applications in real-world scenarios.
The session will conclude with a hands-on demonstration of implementing a Retrieval-Augmented Generation (RAG) system using LangChain as the foundational AI framework.
1:45 PM - 2:30 PM | Expert Panel: Production Data & ML Systems Senior practitioners discuss:
CDC and real-time feature engineering
ML model monitoring and data quality
Building reliable data pipelines for both BI and ML
Data versioning and experiment tracking
2:30 PM - 3 PM | Connect with peers while enjoying refreshments
Who Should Attend:
Senior Data Engineers
ML Platform Engineers
Data Platform Architects
MLOps Engineers
Principal Engineers working on data/ML systems
Why Attend:
Learn how leading companies build unified data and ML platforms
Discover patterns for scaling ML in production
Network with practitioners solving similar challenges
Stay ahead of data platform evolution