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Dave Mayewski from Rockwell Automation discusses how big data, the Internet of Things, and automation technology affect the manufacturing production floor and administration on this podcast. Dave is a Regional Industry Manager for Rockwell Automation in Twinsburg, Oh responsible for Manufacturing Business in the Eastern Region of the US. In this role he represents Rockwell Automation at technology events and in developing partnerships in industrial markets and technologies. Previously at Rockwell Automation, Dave served as the Regional Commercial Manager for the Architecture and Software product business and as a System Solution Manager working with customers and business units across a broad range of industries to solve their control applications. He leads architecture developments in industry verticals including power generation and advanced energy and in engagements with key universities. Prior to Rockwell Automation he worked in roles of increasing responsibility engineering systems for process and machinery applications.
By Ohio Manufacturing InstituteDave Mayewski from Rockwell Automation discusses how big data, the Internet of Things, and automation technology affect the manufacturing production floor and administration on this podcast. Dave is a Regional Industry Manager for Rockwell Automation in Twinsburg, Oh responsible for Manufacturing Business in the Eastern Region of the US. In this role he represents Rockwell Automation at technology events and in developing partnerships in industrial markets and technologies. Previously at Rockwell Automation, Dave served as the Regional Commercial Manager for the Architecture and Software product business and as a System Solution Manager working with customers and business units across a broad range of industries to solve their control applications. He leads architecture developments in industry verticals including power generation and advanced energy and in engagements with key universities. Prior to Rockwell Automation he worked in roles of increasing responsibility engineering systems for process and machinery applications.