TL;DR Operational excellence now requires continuous optimization, not just production output. Edge computing brings analytics and AI closer to the process. Local AI supports faster decision-making and safer operations. Industrial PCs provide the compute power needed...
Artificial Intelligence
Why Edge AI Depends on a Unified Data Foundation
TL;DR Industrial organizations have more data than ever, but much of it remains siloed. AI requires contextualized, accessible data to deliver meaningful value. Edge architectures provide low-latency access to high-fidelity operational data. Local LLMs improve...
From Prompt to Working Code: How Nigel AI Accelerates Development in the LabVIEW+ Suite
In a recent Emerson webinar, the NI team showed how Nigel AI now generates LabVIEW code and expands across the LabVIEW+ Suite to reduce the effort of spending hours researching hardware, developing acquisition code, and untangling projects inherited from someone else.
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...
Using AI to Accelerate Modular LNG Project Execution
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...
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.
The Invisible Infrastructure Behind AI: Why Data Centers Must Evolve Fast
As the use of AI spreads across nearly every aspect of human activity, the demand for more powerful, faster, and more efficient data centers continues to grow. Modern data centers, especially large-scale facilities drawing hundreds of megawatts, can now consume as...
Addressing AI-Driven Power Generation Demand Surge
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.
Importance of Monitoring and Optimization Sensors in Industrial AI
Emerson’s Jonas Berge has penned another great LinkedIn article, M+O Sensors: Comprehensive Plant Data Collection. Typically, plant sensors are added for measurement and control (M+C), but it’s also essential to add sensors for monitoring and optimization (M+O).
Driving Performance with Automation and AI
Emerson’s Jonas Berge authored the article, Automation and AI for Operational Excellence in Refining and Petrochemicals, and how they enable greater performance across many dimensions, including safety, sustainability, reliability, and production.
Four Foundations for Data-Driven AI
Emerson’s Chief Technology Officer Peter Zornio outlines four foundations for advancing industrial automation in the data-driven AI era amid supply chain disruptions and tech evolution.
Importance of Sensors and Actuators in Industrial AI
Emerson’s Jonas Berge shares his thoughts on a recent ARC Advisory Group article, Unifying Device Integration Across the Automation Landscape. The article highlights the author’s recent conversation with the FieldComm Group’s leadership team.
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