Emerson has introduced the AspenTech AVA AI platform, designed to help industrial organizations accelerate adoption of AI-driven operational decision support across industrial automation and enterprise operations environments. The platform combines generative AI, agentic workflows, industrial domain expertise, and contextualized operational data to support faster decision-making, operational reliability, and enterprise-scale optimization across industrial operations.
Industrial organizations continue evaluating practical approaches for deploying AI technologies within operational environments where reliability, process continuity, safety, and contextual understanding remain critical requirements. Unlike general-purpose AI systems, industrial AI platforms increasingly require integration with operational technology infrastructure, engineering models, process data, and existing automation workflows.
AspenTech AVA is designed to embed AI-assisted recommendations directly into operational environments while leveraging Emerson’s industrial process expertise, first-principles models, and operational data infrastructure.
Emerson’s AspenTech AVA industrial AI platform is designed to support AI-assisted operational decision-making, contextualized industrial data analysis, and enterprise-scale workflow optimization across complex automation environments. (Photo courtesy of Emerson)
“AVA provides a practical way to accelerate AI adoption to deliver repeatable, scalable operational impact,” said Claudio Fayad, chief technology officer at Emerson’s Aspen Technology business. “By orchestrating AI across operations, AVA enables teams to act faster, develop more informed strategies and improve reliability — without disrupting proven processes. This is how we help customers accelerate their AI capabilities and enterprise operations platform journey.”
The platform is designed to operate across existing automation infrastructure while supporting cloud, edge, and on-premises operational environments through the AspenTech Inmation Data Platform, which organizes and contextualizes operational technology data from multiple industrial sources.
Industrial operators are increasingly prioritizing contextualized OT data environments as manufacturers, energy operators, and process industries attempt to improve operational visibility, decision support, predictive maintenance, and enterprise-wide process optimization using AI-assisted workflows. AVA combines operational data visibility with first-principles industrial modeling and domain-specific operational expertise intended to support more informed operational decision-making in complex industrial environments.
The platform currently includes four operational optimization and decision-support advisors intended to assist industrial teams in evaluating operating conditions, performance optimization strategies, and operational response scenarios. Beyond operational optimization, Emerson also positions AVA as a tool supporting the next generation of digital-native industrial workers by embedding AI-assisted guidance directly into operational workflows and industrial decision environments.
The broader industrial automation sector is placing increasing emphasis on AI-assisted operational intelligence, enterprise data contextualization, and autonomous operations platforms capable of improving efficiency, operational reliability, workforce support, and process optimization across distributed industrial environments.
About Emerson
Emerson develops industrial automation technologies, operational software, control systems, and industrial digital transformation solutions supporting manufacturing, energy, life sciences, chemicals, utilities, and critical infrastructure industries worldwide. The company’s automation portfolio includes operational technology infrastructure, industrial AI platforms, process control systems, asset optimization technologies, and software solutions designed to support autonomous operations and enterprise-scale industrial modernization. Emerson is headquartered in St. Louis, Missouri. For more information, please click here.
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Molly is the Founder, Publisher, and Editor-in-Chief of Components Source Network, the industry’s first and only known 100% woman- and disability-owned and led B2B publishing platform serving the global high-tech manufacturing and engineering sectors. Her portfolio includes Industrial Automation Monthly and ten additional specialized e-news sites. With more than 25 years of experience spanning strategic technical marketing, public relations, and business development in highly specialized technical markets, she also leads Embassy Global, LLC, a virtual consultancy that has supported the growth of more than 200 high-tech industry brands worldwide since 2008. In addition to her publishing and advisory work, Molly has been appointed to serve as Second Vice Chair of the Government Team for the Women’s Business Enterprise National Council (WBENC) Forum, beginning in 2026, supporting policy development and advocacy initiatives advancing women-owned businesses. A long-standing voice for small business, supplier diversity, and women in STEM, she was also a 2025 finalist for the WBEC Metro New York Outstanding Advocate Award. Connect with her on LinkedIn.
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