A purpose-built industrial data fabric centralizes connectivity and delivery in a single layer, scaling from one site to a global enterprise. The result is a more defensible architecture and a faster path from data to decision.
Project engineers and engineering, procurement, and construction (EPC) contractors live with constant tension between overspending capital and underspending opportunity. Equipment-level reliability models help, but they often miss what happens when storage, logistics, recycle flows, weather, and demand interact across the full system.
Heat exchangers are among the most common and most consequential pieces of equipment in process plants. They influence plant energy efficiency, emissions, capital investment, and operating costs, and they are often implicated in throughput limitations or even unplanned shutdowns.
TL;DR Modular LNG projects prioritize speed and capital efficiency. Automation must scale to avoid becoming a bottleneck. Industrial AI accelerates configuration and engineering workflows. Simulation tools enable faster, more accurate project design. AI advisors...
Life sciences may be the ideal industry for the implementation of AI technologies. After all, bringing a treatment all the way through the drug development process is an extremely complicated undertaking, with tremendous amounts of data and a wide array of...
As part of AspenTech V15, Aspen Mtell transforms operations from reactive firefighting to proactive, efficient performance. Here is what’s new and why it matters for your plant or facility.
Data contextualization refers to the process of enriching raw data. In manufacturing and production operations, this can mean data from sensors and final control elements, machine logs, production metrics, and many other sources of raw data being generated continuously.
In a POWER Magazine article and podcast, Emerson Addresses Power Industry’s AI-Driven Demand Surge, Emerson’s Seth Harris joins Executive Editor Aaron Larson to discuss these challenges and the role of automation and AI-enabled technologies to help address these challenges.
Eliminating silos of data into a comprehensive industrial data fabric enables reshaping the data landscape to provide aggregated, contextualized data for digital transformation initiatives for pharmaceutical & biotech manufacturers.
An Emerson e-book, “Unlocking Safer, Smarter & Sustainable Mining,” shares ways and examples in how automation plays an essential role in mitigating risks inherent in mining operations.
This 1:50 YouTube video, titled “AI-Powered Asset Performance Management (APM) | Emerson and AspenTech” shows the power of this architecture to drive greater performance in reliability.
Emerson’s Nikolaos Pratikakis and Michael Painter presented Modernizing Power Plant Control with Aspen DMC3: AI-Enhanced MPC for Efficiency and Reliability at the 2025 Ovation Users’ Group Conference.
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This blog features expert perspectives from Emerson's automation professionals on industry trends, technologies, and best practices. The information shared here is intended to inform and educate our global community of users and partners.