"Rachita Naik's workshop on adaptive ML systems addresses the persistent issue of model drift, introducing a taxonomy of drift types and lightweight monitoring strategies. Participants will learn to construct an adaptive MLOps pipeline to automate monitoring and retraining."
"The agenda for ODSC AI East 2026 reflects a shift towards production readiness, focusing on operational reliability and responsible AI development, targeting the real challenges teams face in deploying AI systems."
The ODSC AI East 2026 schedule highlights a focus on production readiness and operational reliability in applied AI. Key sessions address the deployment of models, operationalizing generative AI, and evaluating foundation models. The agenda includes topics such as drift detection, trustworthy language models, and modern data engineering workflows. Notable sessions feature practical strategies for managing model drift and constructing adaptive MLOps pipelines, aiming to equip engineering leaders with tools to tackle real-world challenges in transitioning from prototypes to production systems.
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