AI Learns from Your Historical Data Some manufacturers may be daunted by the amount of technology they think is required to accomplish even the first steps into predictive intelligence through AI. But, the reality is that most manufacturers are sitting on a goldmine of predictive maintenance historical data and just don’t realize it. A McKinsey article from a few…
From Reactive Firefighting to Predictive Flow Management: The Operational Intelligence Maturity Model
When I talk about reactive operations, I’m talking about the fire-fighting mode. Whatever is broken is the priority. For instance, your maintenance team spent yesterday replacing a bearing. Parts that should have shipped today will not ship until Friday. These…
AI Solutions in the Energy Industry Enabling Smarter and Scalable Operations
Energy organizations are operating in a far more demanding environment than ever before. Power demand is less predictable; infrastructure is under pressure, and expectations around reliability and sustainability continue to rise. At the same time, cost efficiency and operational performance remain non-negotiable. Technologies such as…
JERA: A Context-Aware AI Agent Built for Business Operations
AI Can Answer Questions. But That’s Not What’s Holding You Back. Let’s be honest for a moment. Most organizations today already know AI can answer questions. You’ve seen the demos. You’ve probably tried a few tools yourself. Asking AI something and…
AI Workflow Automation in 2026: How Intelligent AI Agents Are Optimizing Business Processes
For years, businesses automated tasks but never the workflow. Systems executed rules. People made decisions. Teams stitched together disconnected processes. Traditional automation reduced manual effort, yet it never addressed the deeper challenge of how work actually moves across systems, teams, and departments. Modern operational…