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.

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.

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

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.

Contextualizing equipment data to extend asset life and optimize performance is a major challenge of Asset Performance Management (APM), but the real hurdle is scaling.

Durante las primeras etapas de un proyecto, la precisión en la estimación de costos es fundamental para su éxito. Una estimación confiable permite comparar alternativas de diseño, evitar sobrecostos y optimizar el costo capital (CAPEX) desde las fases iniciales.

As sustainability initiatives like carbon capture move to the forefront, engineering teams are being asked to deliver FEED proposals faster—without sacrificing accuracy, scenario evaluation or early cost visibility.

Process simulation tools—such as steady-state and dynamic modeling platforms—provide value far beyond traditional design and analysis.