Gartner Report: 3 Types of Machine Learning for the Enterprise

Which Machine Learning Strategies should you use within your manufacturing AI?

3 Types of Machine Learning for the Enterprise”

Published 29 January, 2020
By Gartner Analyst Saniye Alaybeyi, Alexander Linden, and Pieter den Hamer

According to research, “Machine learning solves problems by using statistical models that can extract knowledge and patterns from data.”

Many manufacturers are already embracing Machine Learning strategies or intend to do so in the coming months. This report from Gartner covers some of the types of Machine Learning that you can expect to see and when to apply each use case.

In this research, we believe you’ll learn:

  • differences between supervised, unsupervised, and reinforcement learning strategies
  • how to effectively employ each of these Machine Learning types, and recognize which types of Machine Learning align with your use cases
  • why labelling data is important (when available)
  • strategies to build upon unsupervised Machine Learning to scale your use cases

Tell us about yourself to read this free report:

Braincube is an IIoT platform suite with business and expert apps designed for manufacturing.

Take control of your data and transform your operations. Braincube makes it easy to use your historical data and understand how to improve your processes.

True transformation begins when you understand how your problems are interrelated and how to solve them in a way that positively changes your outcomes. Braincube gives you that power.

The Importance of the Citizen Data Scientist

The smart factory is no longer a thing of the future. For many manufacturers, it is the reality now. The growth of augmented analytics and Machine Learning in manufacturing has made way for a new Data Scientist in the factory.

How are other companies leveraging Machine Learning?

Braincube is bringing data-driven decisions down to the shop floor level and helping people understand the value of data.

—Brian Perlstein
Digital Manufacturing Enterprise Architect,
Owens Corning Advanced Manufacturing

4 Use Cases for Machine Learning

Continuing to find new ways to improve operations requires increased creativity, capacity, and access to critical data. Industrials use Machine Learning to identify opportunities to improve OEE at any phase of the manufacturing process. Learn how to use Machine Learning to solve some of the biggest challenges faced by manufacturers.


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