In this episode of The Main Column Podcast, Nithiya Parameswaran, VP of Product Management at Aspen Technology, joins Lee Nichols, Editor-in-Chief of Hydrocarbon Processing, to explore how Industrial AI is transforming Asset Performance Management.

Industrial organizations are increasingly focused on making operational data accessible across plants, business units and cloud initiatives—yet many data platforms struggle to scale without introducing complexity, cybersecurity risk and high operational overhead.

Bharat Petroleum Corporation Limited (BPCL), one of India’s leading energy and refining companies, has relied on Aspen Petroleum Supply Chain solutions for more than a decade.

What happens when a single enterprise is running on dozens of incompatible systems, speaking dozens of different data dialects? Our team set out to find out, taking on a data fragmentation challenge that spanned multiple sites, systems, vendors and protocols.

Watch this interview with Ryan Halyk, Product Manager for AspenTech Inmation, recorded live on the show floor at ProveIt! 2026.

Upstream teams are under pressure to move faster, reduce costs and make better decisions with increasingly complex data.

Industrial operations generate massive amounts of data—and turning it into fast, confident decisions has never been more critical.

In today’s upstream environment, speed and clarity are everything. But traditional subsurface workflows—fragmented data, disconnected tools and time-intensive analysis—can slow decisions and increase uncertainty.

Learn how to streamline the transition from conceptual layouts to detailed design by automatically generating early-stage 3D layouts from conceptual data and seamlessly exporting equipment, structures and routed piping into Intergraph S3D as fully native objects.

In today’s volatile energy landscape, upstream organizations must make faster, higher-stakes decisions with fewer resources and increasingly complex data.