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…
AI for OEMs: From Connected Machines to Predictive Ecosystems
Introduction For decades, automation has helped industrial OEMs improve productivity and reduce manual intervention. But today’s realities look very different. Tighter margins, rising service costs, supply chain volatility, and customer expectations for near-zero downtime mean automation alone is no longer enough. OEMs are now moving…
AI-Driven Cost Optimization for Connected Oil and Gas Operations
Oil and gas operations depend on tight coordination across drilling, production, field services, logistics, and safety. Every inefficiency across these workflows directly impacts cost. Idle equipment, delayed maintenance, unplanned interventions, supply bottlenecks, and compliance overhead all lead to financial leakage that often stays invisible…