Most devices are smart, but the data is often stranded in the device. What is usually missing is written instructions, carried through procurement and design, that say which data comes out, where it lands, and what someone does with it. Without the instructions, the asset management software ships uninstalled or installed but not utilized, the input/output cards get ordered without HART capability, and the plant starts up with 4-20 milliamp signals and nothing else.
Industrial Software
A Smarter, More Flexible Foundation for Scalable Industrial Data
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.
AI in Industrial Operations: Seven Battlegrounds Where the Quiet Revolution Is Already Running
In a recent LinkedIn article, Emerson’s Gertjan van der Ven, Vice President of Global Project Pursuit, argues that while boardrooms stay fixated on foundational models and enterprise chatbots, Artificial Intelligence (AI) is already doing the harder work on the plant...
Quantifying Risk to Sharpen Capital and Operating Decisions
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.
Integrated Heat Exchanger Design and Rating—Closing the Gaps Between Process, Thermal, and Mechanical Engineering
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.
Autonomous AI at the Edge
In oil and gas, edge intelligence has become central to how operators run complex, distributed assets. They collect data at the well, run inference locally, and adjust how they extract based on whether a well is just coming online or in a more mature phase.
Empowering Producers and Manufacturers with Smarter Predictive Maintenance
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.
Streamlining Recipe Creation in the Life Sciences Industry
A recent news release, Emerson Streamlines Life Sciences Recipe Creation for Faster Time to Market, shares the innovation of the new DeltaV MES Recipe Importer tool.
Batch Disposition Vision and Practical Framework
In a recently released BioPhorum paper, BATCH DISPOSITION: A shared vision and practical framework for digitized transformation, Emerson’s Michalle Adkins and Debbie Bouwens joined with other experts in the Life Sciences industry to author this work.
Making Smarter Maintenance Decisions with Valve Health App
Jaime Alvarado Millan joins podcast host Jim Cahill to discuss the Plantweb Insight Valve Health Application and how it provides diagnostics to better plan maintenance activities and avoid abnormal plant conditions.
Data Contextualization Enables Performance Gains
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.
Software-Defined Control for Enhanced Productivity
In this 4-minute YouTube video, How it Works: DeltaV™ IQ Controller, Emerson’s Brandon Hieb describes how the IQ Controller augments highly engineered, built-for-purpose industrial controllers, bringing greater flexibility, scalability, and efficiency to modern control systems.
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