Achieving Cutting Edge Production – A Guide to Machine Learning In Manufacturing | SPONSORED
Machine learning (ML) is becoming even more prevalent as manufacturers continue their journey towards Industry 4.0 and digitally transform their factories. It has the capacity to make production more efficient by increasing output while maintaining quality standards.
ML and industrial automation in manufacturing
ML and industrial automation in manufacturing promises to overcome many of the industries most pressing challenges—including diminishing contribution margins and an expected skilled labor shortage. With continued advances in algorithms, computing power, and data availability, machine learning use cases in manufacturing are quickly emerging.
The Role of Machine Learning in Manufacturing
As industrial automation plays an ever larger role in manufacturing, the deep insights machine learning can offer are crucial for production optimization. But before manufacturers can introduce a machine learning platform, they must first understand how these solutions operate in a production environment, and how to choose the right one for their needs.
Download this e-book sponsored by Oden Technologies to find out more about:
- Manufacturing before ML
- What is ML in manufacturing?
- How ML is revolutionizing the manufacturing industry?
- How ML works
- Evaluating ML solutions
Willem Sundblad is the CEO and Co-founder of Oden Technologies, a company that empowers manufacturers to make more, waste less and innovate faster through machine learning and applied analytics. Willem is a leading voice in Industrial IoT and is pioneering the use of real-time and predictive analytic tools that uncover untapped value. Recently named one of Forbes 30 Under 30, Sundblad is working to transform the manufacturing industry by digitizing, analyzing and perfecting peak factory performance.
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