Predictive Analytics for Maintenance Professionals

Are you Reactive or Proactive?

Being proactive is Terrene's speciality.

Use Machine Learning to change Preventive into Predictive Maintenance.

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Making Predictions Is Simple with Terrene

Connect

Connect any data.

Load data from CSV, Excel sheets, SQL database, web scraping, and sensors.
Get started immediately by integrating Terrene's autoML engine on your data. Terrene will then create the best possible model for your data.
Predict

Make predictions.

Unlock the most accurate forecasting in your industry
Not all of us are Data Scientists, and even if you are, Terrene is built with ease-of-use in mind to make the most of predictive analytics. Get the answer you are looking for quickly with our intuitive platform
Integrate

Integrate Terrene into your workflow.

Terrene's API allows you to completely white-label it.
Integrate Terrene's API directly into your product. The models and API are both production-ready and can be easily white-labelled.

See how Machine Learning can help your business

Book your free consultation today
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How Machine Learning Works.


A quick primer on machine learning

Humanity has produced more data in the past two years than has existed in our entire history. If that’s not mind-blowing enough less than 0.5% of this data is ever analyzed. 

With all of this information, people like you and our team here at Terrene are realizing we can answer some pretty significant questions and solve serious problems. But scaling, or handling, this continuous growth of data, and finding the needles in the haystack of data is practically impossible. This is where Machine Learning comes into play. 
So the question we’re left with is how does Machine Learning actually work? 
To gain a concrete understanding of how Machine Learning works we’ll want to look back at traditional programming, or what computers have done for the majority of their existence. 

In traditional programming, we give the computer very specific instructions that it is built to understand. Then we give it some input or information, and it is programmed to reply a specific way depending on the information we give it. 

Unlike traditional programming where the computer is given specific instructions to complete a task, Machine Learning is able to recognize patterns on its own and then use that knowledge to make its own predictions.
Machine learning is a data analytics technique. The more data the machines have available the more they’re able to learn and the more accurate they are with discoveries. When we feed those machines data they’re able to churn through datasets faster than people or traditional computer programs ever could. Because they’re able to process so much information at once they’re also able to discover patterns and big pictures we just don’t have the ability or time to catch.
Machine learning uses algorithms (mathematical rules) that specialize in finding patterns in data. Where Machine Learning is best suited is when these patterns are complex and hard for humans to find. This happens most often in large and complex datasets. As it analyses all of that data and as new data comes in it continuously adapts its programming to improve accuracy.
Why Machine Learning is so important?
Now that there is so much data being produced and technology has improved data storage and computational power, Machine Learning can now produce highly accurate models and help businesses make more informed decisions quicker.

Terrene offers world-class Machine Learning modules that use your data to find the answers you're looking for.