Manufacturing doesn’t fail because of bad data. It fails because the right person didn’t have the right answer at the right moment.

Plant floors generate more data than almost any other environment on earth yet most of it ends up in a dashboard that a VP opens three days after the decision already had to be made. The gap between data and decision is where margin disappears, downtime compounds, and capital gets misallocated.

Yatharth Sejpal, Founder & CEO of KNOWIDEA Technologies, built a system to close that gap. In this session, he shows how manufacturers are replacing reactive reporting with predictive intelligence AI systems that anticipate equipment risk before failure, flag supply chain exposure before it becomes a disruption, and surface capital allocation signals before the window closes.

This is not a BI upgrade. It’s a fundamentally different way of running operations.
You’ll leave with:
• A framework for moving from descriptive analytics to predictive and prescriptive intelligence at the executive layer
• A practical approach to embedding AI-driven forecasting into existing BI environments without ripping out legacy infrastructure
• A blueprint for designing decision workflows that deliver the right insight to the right operations leader at the right moment
• Clear metrics for measuring faster, more confident decision-making acros