AI-Enabled Predictive Analytics: From Reliability to True Grid Resilience
Extreme weather events, rising renewable penetration, and cyber risks are exposing a critical weakness in global power systems: our grids were designed for reliability, not resilience. While reliability is about minimizing day-to-day interruptions, resilience is about recovering quickly from major
Industrial Copilots: From Assistants to Essential Team Members
In recent years, AI has made significant strides in augmenting human capability across industries. Now, in manufacturing and industrial environments, we are witnessing the emergence of a new class of AI assistants—industrial copilots. These systems are designed not to replace
Industry 4.0 project stuck in pilot? Tackle these 5 roadblocks
Maybe you’re tired of hearing about Industry 4.0, but we’re just now getting to the good part. Attitudes about Industry 4.0 use cases—and digital transformation as a whole—are largely optimistic among industrial companies. State of the Industry research conducted by
From Pilot Purgatory to Generative AI: Building Scalable IIoT and Machine Learning in Manufacturing
The promise of IIoT and machine learning in manufacturing is well understood - predictive maintenance, optimized energy use, and real-time quality control can save millions in downtime and waste. Yet many organizations remain stuck in “pilot purgatory”: running isolated projects
The future of reliable energy: How IIoT is powering smarter microgrids
Dependable backup power has become a critical part of a facility’s strategy for energy reliability, cost management, and sustainability. But as demand outpaces grid readiness and resilience becomes a non-negotiable requirement, facility operators are leaning into innovation and data-driven solutions
From APIs to Digital Twins: Warehouse Integration Strategies for Smarter Supply Chains
The landscape of warehousing and supply chains is changing rapidly. Modern manufacturers, distributors, and energy companies face rising customer expectations for speed and transparency; for example, over 90% of U.S. consumers now expect 2–3 day delivery and one-third expect same-day
The Convergence of Cybersecurity, Compliance, and ESG: The New Enterprise Risk Equation
Enterprise risk management is entering a new phase where cybersecurity, compliance, and sustainability are no longer separate issues. Instead, they are converging into a single risk equation that defines how enterprises are judged by regulators, investors, and customers alike. The shift is being
AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing
On Wednesday, September 10, 2025, IIoT World will host AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing, a free online event bringing together global leaders in AI, industrial data, IIoT, and digital transformation. This one-day virtual conference explores how manufacturers can move
Securing Agentic AI with Digital Trust
Agentic AI is rapidly moving from research labs into production environments, powering everything from autonomous workflows in supply chains to connected medical devices and industrial automation. Unlike traditional generative AI, which produces outputs based on prompts, Agentic AI systems can perceive,
Rethinking Predictive Maintenance: Why the Hardest 10% of Industrial Assets Demand a New Class of Sensors | SPONSORED
Most predictive maintenance sensors work well—until they don’t. When your pump is in an acid-laden environment, your mill bearings hit 120-150°C, or your crane gearbox runs at 4 RPM for half the shift, the majority of “AI-enabled” standard sensors become
The Workforce of the Future: Reimagining Nuclear with Purpose, People, and AI
The nuclear industry is at a pivotal moment. As global energy demand surges—driven by AI, data centers, and the clean energy transition—nuclear power is reclaiming its rightful place as a critical solution. If we’re going to meet this moment, we
Enabling Connected Operations Through Real-Time Machine Monitoring, Predictive Maintenance, and Automation
In many industrial organizations, operations and maintenance teams still walk into work with more uncertainty than confidence. There are checklists to follow, logs to review, and a familiar set of problems that always seem one step ahead. Something breaks, someone