The judges selected the seven organizations to join the first cohort following their pitches showcasing their #SmartManufacturing solutions to real-world problems.
Praemo President Paul Boris explained how Praemo’s unique approach to industrial machine learning is disrupting the time to value for new levels of industrial productivity using machine learning. Even at operations considered to be world-class, there are significant opportunities to improve throughput, cost, and productivity. Continuous improvement through data visibility and business intelligence has largely plateaued. Machine learning offers an exciting path to a step change in performance and competitive advantage, but current machine learning solutions are not working for industrial operations
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Praemo offers a new approach that makes industrial machine learning a competitive advantage for industrial operations. The Praemo Razor engine ingests your data as-is from your automation, quality, historian, maintenance, and other manufacturing systems of record to deliver differentiating insights to drive new levels of productivity and performance. You don’t need a data science team to leverage Razor immediately for predictive maintenance, predictive quality, and continuous process optimization.
Praemo is a SaaS predictive analytics company that powers new levels of continuous improvement by leveraging advanced machine learning tuned for industrial data.
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