Explore How Machine Learning is Making Transportation Safer and More Efficient

Explore How Machine Learning is Making Transportation Safer and More Efficient

Machine learning – it might sound like something out of a sci-fi movie but it is a technology that is very much a part of our daily lives. If you’ve ever binged watched a show that Netflix recommended for you, shared a photo that auto-tagged your friends on Facebook or received a call from your credit card company about fraudulent activity, you’ve benefited from machine learning.

 

What is machine learning?

Machine learning uses computer algorithms to detect patterns in large data sets and predict outcomes. Machine learning essentially helps to find the needle in a haystack of data, taking in large quantities of complex data and identifying patterns to provide reliable, effective and repeatable results.

While the term “machine learning” was coined nearly 60 years ago, it is now truly coming of age thanks to advances in better and faster computational processing power, adoption of cloud computing which allows for scalability, and the need for vast amounts of data to be analyzed in real time.

Our latest whitepaper, “Machine Learning: Empowering Data-Driven Decisions in Trucking“, discusses this revolutionary technology in more detail and explains how it is being used to improve the transportation industry.

How machine learning is being applied to transportation

One of the reasons machine learning is being applied to trucking is because of the amount of data available to analyze. For example, the engine data elements collected from the Trimble customer base alone generate more than 10 billion data points a day – anything from weather and road conditions to driving behaviors such as vehicle speeds and acceleration rates.

This sheer volume of data being generated in the trucking industry is only getting larger. As this volume of data increases, machine learning is continuing to gain traction in trucking – providing tools to analyze the data, make decisions and offer predictions.

Machine learning is already improving trucking by allowing fleets to be proactive, from predicting the most efficient routes, to improving safe driving, to predicting truck breakdowns before they occur. As technology evolves, machine learning will continue to advance, delivering faster, more accurate predictions in trucking and beyond.

 

Use machine learning to improve your fleet’s performance

Interested in learning more about machine learning and how it is being applied to the transportation industry? Download a copy of our free whitepaper to take a deep dive into this technology and discover how it is improving fleet performance and safety.

Trimble is committed to providing a robust data pool across our different business to provide our customers with more accurate predictions and insights. Contact us today to find out how we can help your fleet use machine learning capabilities to make decisions that allow you to be better, safer and greener than ever before.

Explore How Machine Learning is Making Transportation Safer and More Efficient

Machine learning – it might sound like something out of a sci-fi movie but it is a technology that is very much a part of our daily lives. If you’ve ever binged watched a show that Netflix recommended for you, shared a photo that auto-tagged your friends on Facebook or received a call from your credit card company about fraudulent activity, you’ve benefited from machine learning.

 

What is machine learning?

Machine learning uses computer algorithms to detect patterns in large data sets and predict outcomes. Machine learning essentially helps to find the needle in a haystack of data, taking in large quantities of complex data and identifying patterns to provide reliable, effective and repeatable results.

While the term “machine learning” was coined nearly 60 years ago, it is now truly coming of age thanks to advances in better and faster computational processing power, adoption of cloud computing which allows for scalability, and the need for vast amounts of data to be analyzed in real time.

Our latest whitepaper, “Machine Learning: Empowering Data-Driven Decisions in Trucking“, discusses this revolutionary technology in more detail and explains how it is being used to improve the transportation industry.

How machine learning is being applied to transportation

One of the reasons machine learning is being applied to trucking is because of the amount of data available to analyze. For example, the engine data elements collected from the Trimble customer base alone generate more than 10 billion data points a day – anything from weather and road conditions to driving behaviors such as vehicle speeds and acceleration rates.

This sheer volume of data being generated in the trucking industry is only getting larger. As this volume of data increases, machine learning is continuing to gain traction in trucking – providing tools to analyze the data, make decisions and offer predictions.

Machine learning is already improving trucking by allowing fleets to be proactive, from predicting the most efficient routes, to improving safe driving, to predicting truck breakdowns before they occur. As technology evolves, machine learning will continue to advance, delivering faster, more accurate predictions in trucking and beyond.

 

Use machine learning to improve your fleet’s performance

Interested in learning more about machine learning and how it is being applied to the transportation industry? Download a copy of our free whitepaper to take a deep dive into this technology and discover how it is improving fleet performance and safety.

Trimble is committed to providing a robust data pool across our different business to provide our customers with more accurate predictions and insights. Contact us today to find out how we can help your fleet use machine learning capabilities to make decisions that allow you to be better, safer and greener than ever before.

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