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.

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.

Pan American Energy (PAE) has undertaken a strategic transformation to optimize the efficiency of its maintenance operations. To address their asset reliability challenges, the company has developed a robust roadmap focused on Condition-Based Maintenance (CBM), operation by condition and alert automation.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as Cabot, Con2Scale, CTS, Infineum, Inmize, Stellix, Takeda and TotalEnergies.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as ADM, Albamarle, Equinox, James Hardie, Reliance, Motiva and Bharat Petroleum.

Metals and mining companies face growing challenges: improving recovery rates, reducing energy consumption and meeting sustainability targets—all while evaluating new process technologies and capital projects.

Industrial leaders understand that AI success depends on more than algorithms, it requires a strong, connected data foundation. While purpose-built Industrial AI can deliver value on its own, organizations that effectively manage and contextualize data are better positioned to scale impact and sustain competitive advantage.

Aspen InfoPlus 21® (IP.21™) is a real-time historian designed for process industries like refining and specialty chemicals.