Amit Kumar

Amit Kumar

Technical Project Manager, Data Science, Unconventional Business Line ExxonMobil

Amit is an expert Computational Scientist with background in Data Science and Physical Modelling. He has multiple years of experience of leading Digital Transformation efforts in a big corporation including development and deployment of Advanced Analytics solutions to optimize day to day operations.

Main Conference Day 1 - February 24, 2026

10:40 AM Panel Discussion: No Disconnects: Proving the Value of Machine Learning for Scalable Predictive Maintenance

As the industry seeks to move beyond reactive maintenance, machine learning offers a powerful opportunity to predict failures before they happen, reducing downtime, optimizing asset performance, and improving safety. This panel explores how early-stage pilots can lay the foundation for scalable, enterprise-wide predictive maintenance solutions.

  • How to build a business case for machine learning in maintenance by identifying high-value assets, leveraging historical failure data, and demonstrating early wins
  • Strategies for assessing data readiness and model adaptability, ensuring that predictive algorithms are trained on relevant, high-quality inputs and evolve with operational complexity
  • Stakeholder engagement techniques that drive adoption, from localized decision-making to cross-functional collaboration between data teams and asset owners
  • How proof-of-concept projects can be scaled across the enterprise with lessons learned in governance, infrastructure integration, and long-term value tracking 

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

Download The Latest Agenda