In this video podcast, we explore how advanced control techniques like model predictive control (MPC), data fabric architectures, and AI-assisted operations can optimize cooling systems, improve uptime, and manage highly dynamic AI workloads more efficiently.
In a recent LinkedIn article, “Smart Plant and Automation Modernization,” Emerson’s Jonas Berge, ISA Fellow and digital transformation advisor, lays out what a modern smart plant automation ecosystem should include, from field sensors and valves to the distributed control system (DCS), safety instrumented system (SIS), and device management software.
TL;DR AI data centers are creating infrastructure challenges far beyond those of traditional enterprise facilities. Speed to market is becoming a major competitive advantage as demand for data center capacity continues to grow. Equipment shortages and long lead times...
When QC scheduling is disconnected from production schedules, delays, inefficiencies, and coordination challenges can ripple throughout the facility. Real-time scheduling helps eliminate those gaps by synchronizing manufacturing and laboratory activities, so both teams work from the same, current, real-time-up-to-date information.
Tech transfer remains one of the slowest, most frustrating bottlenecks in life sciences manufacturing, often stretching across half a decade or more. In a recent Qualitalks podcast episode, Qualistery Managing Director Yan Kugel spoke with Emerson VP of Marketing and Experience Nikki Bishop about why these projects stall and what actually helps close the gaps.
TL;DR Sustainability initiatives require efficient use of limited resources. Automation enables measurable improvements in energy use and emissions. Monitoring WAGES systems is key to identifying waste. Modern control and reliability tools reduce inefficiencies and...
Emerson’s Mark Nixon has collaborated with Flint Hills Resources’ Ike Brackin and COP founder and Chief Human Factors Engineer at Beville, Dave Strobhar, on a new book titled Data-to-Information Handbook: Building Effective Display Systems for Refining Processes.
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...
Self-regulating processes dominate most plants, especially in pipeline pressure and flow control loops. Understanding their behavior allows engineers to anticipate how the loop will respond to changes in controller output. Accurate tuning depends on recognizing key dynamic parameters such as process gain, dead time, and time constant.
TL;DR OT cybersecurity must balance protection with continuous uptime. IT-focused tools can disrupt critical OT operations. Fit-for-purpose OT security solutions reduce implementation risk. Effective cybersecurity strategies now assume systems are already compromised....
TL;DR AI data centers require far more power than traditional facilities. The electrical grid cannot yet support this scale or volatility. Onsite, islanded power systems are becoming the preferred approach. Project coordination is a major challenge across multiple...
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...
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Emerson Exchange 365
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.