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Data Science for Process Manufacturing

Amidst the Industry 4.0 revolution, there’s tremendous promise for manufacturers to use connected digital technologies.

Manufacturers can innovate every aspect of their production processes by gathering rich data and leveraging the power of predictive analytics. However, many manufacturers lack the team of data scientists required to deliver on the promise, and the talent pool is thin.

With the right tools, a new breed of ‘digital engineers’ can upskill themselves in order to tap into the power of machine learning, without highly specialized data science expertise. Machine learning can then be applied to design smart products, forecast demand, run smart factories, optimize production processes, ensure quality, reduce production downtime, and manage supply chain risk.

Learn how RapidMiner helps reach new levels of yield, throughput, asset utilization, and product quality.

Find out how ML can transform your manufacturing organization

We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.

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RapidMiner Platform Brochure

Read our platform brochure to learn more about how RapidMiner unifies the entire data science lifecycle from data prep, to machine learning and model operations.

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