DATA DRIFT - A Challenge to AI/ML Models

​Keep the momentum building for CDC50-CONFLUENCE with Part 2/3 of our virtual session series as we dive deeper into the world of Data & AI!

​Join this live virtual session with Jayapal Sadasivan – Senior Data Scientist, as he shares insights on “Data Drift – A Challenge to AI/ML Models.”

​In this session, explore the concept of data drift, why it poses a significant challenge to AI/ML models, and how changes in real-world data can impact model performance and reliability. Learn about the importance of identifying, monitoring, and addressing data drift to build robust and dependable machine learning solutions.

​Whether you are a student, aspiring Data Scientist, Machine Learning Engineer, or an experienced AI/ML professional, this session will help you better understand the challenges of maintaining model performance in dynamic data environments.

​We look forward to your participation.

​Happy learning!

​Note: Registration is FREE and mandatory for all participants. Limited seats available.

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