Mr. Abhinav Balasubramanian

From Data to Decisions: Navigating the End to End Lifecycle of AI Models

Abstract of talk:

Developing a successful AI system involves far more than just training a model. This talk provides a practical walkthrough of the complete lifecycle of an AI model: from data collection and preprocessing to model training, validation, deployment and monitoring in production. Each stage presents its own set of technical challenges, including data quality issues, model drift, reproducibility and performance monitoring.

The session will highlight commonly used open source tools and best practices to build scalable, maintainable AI workflows. Attention will be given to practical workflow design, collaboration across technical roles and strategies for building reliable systems that are robust over time. The focus is entirely on broadly applicable concepts and open methodologies.