Episode 29: Nalin Jain

"Technology isn't the barrier - adoption is the key challenge facing industrial leaders today." - Nalin Jain

In this episode, Ayna’s Parthesh Shastri speaks with Nalin Jain, Group President of Digital Intelligence at Wabtec Corporation, about the digital transformation sweeping the rail and mining industries. Nalin details how Wabtec, a 150-year-old industrial leader, is leveraging AI, machine learning, and digital solutions to improve safety, efficiency, and sustainability. He highlights innovations like Trip Optimizer, which has helped save 752 million gallons of fuel and cut emissions by up to 25%. The discussion underscores the shift from physical to digital product management and the importance of customer-centric innovation in navigating industrial digitalization. Nalin also emphasizes that technology adoption—not availability—is the biggest hurdle, advocating for AI as a tool to augment human capability.

Nalin Jain brings extensive global experience to his role, overseeing digital and mission-critical control systems across railroad, mining, and port operations at Wabtec. He joined the company in 2019, initially leading the global equipment business before taking charge of its digital transformation efforts. With a mechanical engineering degree from National Institute of Technology, Surat and an MBA from Indian School of Business, Hyderabad, Nalin previously held leadership roles at GE, including CEO of GE Aviation and GE Transportation in South Asia. His expertise spans industrial technology, international business, and strategic digital innovation, making him a key voice in shaping the future of intelligent industrial systems.

Discussion Points

• (00:00) Nalin Jain introduces Wabtec’s 150-year legacy and how digital intelligence is transforming rail and mining operations.
• (01:16) Wabtec builds autonomous locomotives and software for coordinating trains across complex networks.
• (03:59) Safety is critical in long-haul operations; efficiency boosts capacity and digital tools drive emissions cuts.
• (07:13) Machine learning now powers predictive maintenance, with AI enhancing—not replacing—human roles.
• (12:08) Digital tools cut emissions by 20–25%; Trip Optimizer alone has saved 752 million gallons of fuel.
• (16:48) Global experience highlights the need for local adaptation; customer focus and curiosity fuel innovation.

For More Information

Nalin Jain LinkedIn

Wabtec Corp

Ayna.AI Website

Titanium Economy

Parthesh Shastri LinkedIn