Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practice from industry leaders at the event such as ExxonMobil, Aramco, Dupont, Dow, Sabic, Petronas, Petro China, ADNOC, Bharat Petroleum, KBR and Saipem.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from industry leaders at the event such as ExxonMobil, Aramco, Sabic, Petronas, Petro China, ADNOC, Bharat Petroleum, KBR and Saipem.

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 Acelen, GS Caltex, Bharat Petroleum, Bapco Energies, Shell and Aramco.

Attend OPTIMIZE 26 (May 11-14) to hear case studies and best practices from 35+ industry leaders at the event such as ExxonMobil, Dow, Aramco, Borealis, ADNOC, YPF, Repsol and Envision.

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.

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

Discover how data models play a crucial role in your company’s digital journey. AspenTech Inmation™ offers both domain-specific and domain-agnostic models—designed to solve targeted use cases or translate across business domains for seamless interoperability.

Join Nina Schwalb, VP of Product Management for Industrial Data Fabric, as she introduces AspenTech Inmation—a cutting-edge solution designed to unify diverse data sources across your enterprise. In this short video, discover how AspenTech Inmation empowers organizations to drive smarter decisions, enhance asset performance, and accelerate digital transformation. From plant-level insights to global scalability, see how industrial data becomes a strategic advantage.

Explore how modern data models have transformed, now integrating mass data engineering and artificial intelligence to reduce manual effort and enhance enterprise-wide visualization and insight.