Aranya Kundu

Machine Learning & AI Lead Entergy Inc.

Conference Day 1 - Wednesday December 3

10:15 AM Case Study: Building Predictive Maintenance Models for Critical Energy Assets at Entergy

As the energy sector embraces digital transformation, predictive maintenance powered by machine learning is becoming essential for asset reliability and operational efficiency. At Entergy, Aranya focuses on developing in-house AI models that help anticipate failures, particularly in transformers, before they happen. This presentation will walk through their journey of building these models, the challenges faced with data quality and security, and how they aligned technical innovation with real-world operational needs. 

You will learn how to: 

  • Define clear objectives and build internal models tailored to specific assets like transformers, focusing on minimizing false negatives to prevent unexpected failures 
  • Lessons learned from working with messy, high-dimensional operational data and the importance of data engineering in predictive analytics 
  • Navigate internal concerns around data sharing, especially in sensitive environments like nuclear facilities, and building secure, compliant AI solutions 
  • Drive collaboration between data scientists and field experts, plus the early wins that helped Entergy overcome resistance and drive adoption of AI tools

Check out the incredible speaker line-up to see who will be joining Aranya.

Download The Latest Agenda