Building Resilience Step by Step: Practical Adoption of Digital Twins
For many industrial and energy companies, the idea of deploying a full-scale digital twin across every asset can feel overwhelming. The reality, as highlighted during IIoT World Energy Day 2024, is that successful adoption doesn’t happen all…
How Digital Twins Deliver Clarity in Industrial Operations
In complex industrial and energy environments, clarity is often the hardest thing to achieve. Data flows in from thousands of sensors, but without context, it risks turning into a data swamp—volumes of information that overwhelm rather…
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…
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…
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…
From Waste to Intelligence: AI’s Role in Powering the Circular Industrial Economy
As industries race to meet sustainability targets, a quiet shift is taking place—one that moves beyond net-zero goals and toward circular economy thinking. No longer just a compliance checkbox, circularity is becoming a competitive advantage. And increasingly, AI…
When Digital Ambitions Meet Analog Realities: The True Cost of Modernizing Oil & Gas Infrastructure
AI, automation, and digital twins are poised to transform oil and gas operations, but many facilities still run on outdated infrastructure. During the session “Smart Operations in Oil and Gas: Leveraging IIoT for Efficiency” at IIoT…
From Static to Synchronized: The Emerging Role of Time-Aligned Data in Grid Innovation
As energy systems evolve into hyperconnected, data-driven ecosystems, a less talked-about—but rapidly growing—challenge is surfacing: temporal data alignment. In modern energy operations, it’s no longer just about having data; it’s about having the right data at the exact right…
Why Brownfield Digitalization Holds the Key to Cost-Effective Innovation in Oil & Gas
Modernizing Legacy Infrastructure Without Breaking the Bank As digital transformation sweeps across the energy sector, oil and gas operators face a critical question: how can legacy infrastructure catch up with today’s smart technologies? The answer lies…
Energy’s Silent Challenge: The Operational Bottlenecks of Data Volume, Not Data Access
As the energy sector doubles down on digital transformation, a quiet but critical issue is becoming more visible: data overload without operational context. Unlike cybersecurity or grid reliability, this problem rarely makes headlines, yet it’s increasingly…