HanAra Insights Blog
Critical Thinking: The Essential Skill for an Industrial AI Workforce
Organizational change is hard, especially when it involves new technology. When industrial companies introduce AI-enabled tools into their operations, they often focus heavily [...]
Turning Conference Inspiration into Operational Excellence
When discussing the global growth of power generation, India's energy landscape represents a significant development story. India ranks among the top three countries [...]
How to Choose the Right Data Historian for Your Plant
Industrial organizations collect vast amounts of time-series data from sensors, equipment, and sites around the clock. This continuous stream of operational information holds [...]
When Equipment Fails at the Worst Possible Time: A Maintenance Wake-Up Call
Picture this: A critical asset begins to fail during the night shift. An operator notices and flags it. But by morning, the asset [...]
Is Your District Energy System Ready for the Next Digital Transformation Step?
District Energy, like many industries, faces rising operational costs, aging infrastructure, and growing customer expectations for reliable service. These factors are pushing organizations [...]
Industrial Data Aggregation: From Raw Data to Strategic Value
We've all been there: returning from an energizing industry conference, head swimming with new ideas, business cards stuffed in pockets, and a notebook [...]
The Practical Approach to First Principles Modeling
Picture this: you're responsible for monitoring hundreds of pieces of equipment across a sprawling industrial facility where a single failure could cost thousands [...]
How to Use Calculated Tags to Multiply Your Sensor Data Insights
When you walk into an industrial site, you’re immediately struck by the scale and complexity of the operation. Sensor data is collected as [...]
Beyond ROI: The Opportunity Cost Framework That Effective Maintenance Teams Use
Digital transformation is more than a trend. It's an ongoing strategy that helps organizations prepare for the current and the future. Whether manufacturing, [...]
