The Business Benefits of Industry 4.0 in the Automotive Industry

By leveraging Industry 4.0 technologies, automotive manufacturers can address processes-driven quality and throughput losses in production and assembly processes.For example,…


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Seeing the Bigger Picture: Understanding the Benefits of Reducing Waste in Manufacturing

With the continuous increase in population, demand for production is growing at an exponential rate. Per capita consumption has a direct relationship with population, thus…


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The emerging role of the Citizen Data Scientist in manufacturing

The difficulty and costs in attracting and retaining data scientists has led to a new emerging role - the Citizen Data Scientist. A role often given to existing employees in an…


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The Role of Industrial AI in Chemical Manufacturing Digitization

How chemical manufacturers can achieve production optimization using Industrial Artificial Intelligence technologies.


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Lean Manufacturing Techniques
in the Age of Industrial AI

Lean manufacturing is a series of principles and techniques to help improve performance in factories, production lines and machines by eliminating as much waste as possible.


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4 Technology Pillars to Achieve Process Optimization in Manufacturing

Understand how to achieve manufacturing process optimization by following these steps.


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Seebo partners with Microsoft to deliver scalable
process-based machine learning solutions to manufacturers

Microsoft and Seebo, the pioneer in process-based industrial AI, announce co-sell partnership benefiting enterprise clients.


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7 Wastes Plus One? The Hidden 8th Waste in Lean Manufacturing

Learn about the 7 wastes in manufacturing, plus the hidden 8th, which is most relevant for process manufacturers.


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An Introduction to OEE Software

OEE has been around since the 1960s but its method of application is changing rapidly, with OEE software and data analysis tools replacing the more manual methods of the past.


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Chemical Process Control –
Optimizing Manufacturing with Industrial IoT

Focusing solely on deploying predictive maintenance or increasing the OEE percentage can lead to sub-optimization. So, what's the solution?


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