Emerson, a global industrial technology leader, is empowering manufacturers to move toward optimised autonomous operations through a robust suite of advanced industrial artificial intelligence and data solutions tailored for online, mission-critical environments. Supported by its recent acquisition of Aspen Technology and decades of industry-specific expertise, Emerson’s AI portfolio is designed to deliver consistent, secure, and sustainable value across industries.

As AI tools reach a critical stage in maturity—driven by more robust open frameworks and foundational models—organisations are seeking ways to harness their potential without compromising safety or reliability. However, Emerson notes that public generative AI (GenAI) models, while widely available, are not suitable for high-availability, high-risk industrial applications due to their lack of precision and security.

Emerson addresses this gap with a differentiated AI approach grounded in physics- and engineering-based models. These local, customisable, domain-specific models reduce the risk of unreliable or unrealistic outputs by embedding first-principles knowledge into the AI itself. This ensures more interpretable, trustworthy results without the need to expose sensitive data to public cloud environments.

“Generic large language models are necessary for AI, but they are insufficient for a live, mission-critical industrial plant that cannot afford unreliable or unsafe results,” said Ram Krishnan, chief operating officer at Emerson. “Emerson’s solutions leverage industrial AI, built on decades of industry expertise and first principles constraints, to deliver correct, actionable guidance users can count on to make better operational and business decisions that will safely and rapidly drive competitive advantage.”

Emerson’s portfolio features a wide range of industrial AI applications designed to streamline engineering and operational workflows:

  • AspenTech Optiplant® AI Equipment Layout: Uses GenAI to generate multiple viable plant layout options quickly, factoring in performance requirements and additional considerations such as safety zones and proximity constraints.

  • DeltaV™ Revamp: Employs AI to modernise legacy control systems by analysing data from thousands of past projects, improving the accuracy and speed of system upgrades.

  • AspenTech Strategic Planning for Sustainability Pathways™: Supports long-term decarbonisation planning by simplifying complex decision-making using GenAI-powered scenario analysis.

  • Aspen Virtual Advisor (AVA): An AI-powered assistant that delivers expert guidance within Emerson platforms like Aspen PIMS™ and Aspen DMC3™, helping users troubleshoot bottlenecks and optimise performance using natural language queries.

Additional virtual assistants embedded in the Ovation™ 4.0 Automation Platform and Guardian™ Digital Platform provide visual explanations and insights to help users better understand control system operations.

At the Emerson Exchange 2025 conference in San Antonio, the company introduced Project Beyond, a new software-defined, OT-ready digital platform designed to orchestrate AI applications and manage contextualised data across embedded, edge, and cloud environments. Project Beyond is positioned to revolutionise the industrial automation landscape by integrating Emerson’s AI capabilities with real-time data and industrial context, delivering greater flexibility, safety, and performance.

“Emerson is the only company with the wide range of domain expertise, deep stores of first-principles models, vast array of fit-for-purpose technology solutions, and history of industry-shaping innovation necessary to deliver industrial AI tools that modern manufacturers can trust in a mission-critical environment,” Krishnan added.

With its Boundless Automation vision, Emerson continues to lead the transformation of the industrial sector by offering AI-driven solutions that modernise operations, support decarbonisation goals, and future-proof automation investments.

For more information visit www.Emerson.com

26th May 2025