Operating one of the world’s largest methanol production facilities requires reliability teams to manage critical machinery and instrumentation in a fast-paced, complex manufacturing environment.

Manufacturers routinely lose margin due to the gap between what is planned, what is scheduled, and what actually happens on the plant floor.

In a world where supply chains, energy costs, feedstock availability and project economics can shift overnight, industrial leaders need the agility to act with confidence.

As industrial organizations accelerate AI, advanced analytics and digital transformation initiatives, traditional point-to-point data architectures are becoming a major barrier to innovation.

Industrial organizations are under increasing pressure to connect data from legacy systems, modern applications and distributed assets to support optimization, resilience and AI-driven operations.

As process manufacturers navigate tighter margins, workforce challenges and increasingly complex assets, integrated reliability strategies are becoming essential for maintaining performance and operational resilience.

Aspen Fidelis helps decision-makers evaluate capital investments, maintenance strategies and operational improvements by forecasting performance, cost and risk across complex industrial systems.

Hunt LNG, a Peruvian company and operator of the PERU LNG Project, is transforming reliability by using AI and machine learning to turn operational data into actionable decisions.

AspenTech CTO Claudio Fayad joins Hydrocarbon Processing's The Main Column podcast to discuss where Industrial AI is headed for refining and petrochemicals.

Discover how industrial organizations can bridge the gap between Operational Technology (OT) and Information Technology (IT) to achieve scalable AI and analytics.