Visual AI: Five Steps to Increase Production and Profitability

Learn How to Reduce Workplace Downtime and Costly Accidents with Visual AI

Today, operators across industries–from manufacturing to energy production–rely upon everything from SCADA and sensor data to insights gleaned from repair orders and equipment bulletins to keep their operations running smoothly. Unfortunately, as the variety, volume, and velocity of data continues to grow exponentially, traditional approaches to process information have become inadequate to provide timely, actionable insights that operators need. Artificial intelligence has become the must-have technology to close this gap and take on challenges with workplace safety, quality control, and operational throughput.

On the safety front, there are nearly 340 million workplace accidents and injuries worldwide, costing U.S. businesses over $250 billion annually, with employers spending $120,000 per accident on average for workplace injuries. Regarding quality, 96% of organizations have reported a product recall over the last five years, with 58% caused by operational mistakes. Finally, in terms of productivity, companies report losing 21 workdays a year due to unplanned downtime costing billions in losses across industry.

Visual AI redefines how operators can leverage existing camera infrastructure to avoid near misses, identify product defects, and ensure process compliance to increase profitability.

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Visual AI: Five Steps to Increase Production and Profitability originally aired on November 15, 2022. Did you miss this webinar? No need to worry. You can watch it on-demand today!