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...
TL;DR High OEE does not guarantee optimal operational performance. Bottlenecks often originate outside of equipment effectiveness. Real-time scheduling provides broader visibility into the value stream. Simulation helps identify the root causes behind performance...
TL;DR Many OT teams are overwhelmed by unstructured data. Data silos limit visibility and prevent actionable insights. Modern edge infrastructure improves data access and context. Edge controllers enable reliable connectivity in remote environments. Low-latency data...
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...
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....
Why this matters now As artificial intelligence adoption accelerates, it is easy to assume that progress requires turning more decisions over to machines. In industrial environments, however, the most valuable AI applications today are those that support operators...
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...
Why this matters now In modern process manufacturing, the definition of operational excellence has fundamentally changed. Organizations are no longer responsible for optimizing a single facility; instead, many operate expansive enterprises spanning multiple sites and...
Why this matters now One of the most persistent challenges in manufacturing today is managing cybersecurity risk across legacy automation infrastructure. Many organizations continue to rely on supervisory control and data acquisition (SCADA) systems that were deployed...
Why this matters now The last few decades of biopharmaceutical research have seen an explosion in new therapies, many of which treat illnesses once thought impossible to manage. As innovation continues at an unprecedented pace, life sciences manufacturers are under...
Why this matters now Retirements, skill gaps, sustainability mandates, and global competition are reshaping modern manufacturing. While many of these challenges were anticipated years ago, early digital transformation efforts often left teams with more data—but not...
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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.