On-demand Webinar
Analytics can contribute a lot to process manufacturing. It can really help to optimize business-critical goals like yield, product quality, throughput, and energy consumption. Algorithms can help you achieve a technical optimum – this is the physically and chemically achievable optimum with the current requirements. And if your product changes, the algorithms can help you find your new optimum again.
Duration: 48 min
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Nicole works as a manufacturing analytics expert for the DACH region at SAS. For more than seven years, she focuses on the use of machine learning and advanced analytics methods in production, logistics and other IoT scenarios. Prior to this, she worked as a mathematician at technical universities, specializing in natural sciences and engineering.
Manfred has a decade’s worth of experience in the Metals Industry. He engineered, commissioned and troubleshooted several plant types, such as plate mills, hot rolling mills, continuous casters, etc. Manfred also led the pilot implementation of a quality control system for an entire integrated steel plant in Asia. At SAS Manfred advises clients in Manufacturing Industry how to turn business challenges into solvable data science use cases.
Martin is a trained computer scientist and mathematician with over 20 years of experience in implementing analytical projects in a wide variety of industries.