Understanding where agentic AI breaks down without context, governance, and execution A lot of organizations start their AI journey with the same expectations. They want faster answers. Fewer manual steps. Less dependency on tribal knowledge. And ideally, an AI system that helps teams move…
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…
Gen AI vs Machine Learning for Agentic AI
What if AI could do more than just reply? Agentic AI uses Machine Learning to learn from data and Generative AI to communicate like a human. Bridgera’s JERA combines both to automatically find answers, send alerts, and perform real work across your systems.
How AI Agents Are Transforming IoT: From Smart Systems to Smarter Operations
The Internet of Things (IoT) is undergoing a significant transformation with the integration of AI agents. These agents, powered by Generative AI, are taking IoT systems from merely ‘smart’ to truly intelligent. By interpreting real-time data, detecting anomalies, and initiating corrective actions, AI agents are revolutionizing industries and enabling smarter operations. From predictive maintenance to autonomous control, discover how AI agents are redefining the future of IoT.