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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Preparing for Digital Transformation in Manufacturing
– The Complete Guide –

Learn about the core principles behind the digitalization of industry and the key trends taking manufacturing operations into the future.


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Proven recipe for an effective Predictive Maintenance Program

Mistakes become more costly as development progresses. Here's what to consider when designing an industrial IoT product or network.


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8 Industrial IoT Trends in 2019

Capitalizing on technological advancements in industrial manufacturing, companies are taking bolder steps to improve growth and operational efficiency in 2019.


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IoT Design: Making Connected Products for Smart Manufacturing

Mistakes become more costly as development progresses. Here's what to consider when designing an industrial IoT product or network.


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Supervised vs. Unsupervised Machine Learning

In search of the machine learning technique that can meet the demands of every manufacturing application.


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How Digital Twins are Completely Transforming Manufacturing

Digital Twins are revolutionizing the way we produce raw materials, products, and energy.


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Feature Engineering for Machine Learning:
An Introduction for Manufacturers

Why feature engineering is recognized by data scientists as key to designing machine learning algorithms that work.


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