In an industrial environment, there is an ever more increasing need for predictive models. You have a lot of assets, equipment that produce tons of data. The question is, how can we better leverage this data? That’s where predictive modeling can come in.
You can use predictive models to better understand the data, to analyze the data and to create insights in your production process, be it in an area of soft sensors or predictive maintenance, just to name a few.
Generating predictive models is typically an engineering process. It takes you a couple of hours, days, and sometimes weeks to build a predictive model. Now, this is not very scalable, of course. And in your industrial environment, you might need a lot of predictive models. You need to have a strategy to build these models fast, accurate, and at large scale.
And that’s where TIM can come in. TIM Tangent Information Modeler allows to generate models automatic, very fast. It replaces this costly engineering process into seconds of computing time. And on top of that, TIM generates a human readable formula. This helps to bring data scientists and process operators together to not only predict, but to also better understand the dynamics hidden in the data. And that’s how TIM can really help you.
It’s the ideal way in an industrial environment to bring data scientists and process operators together to think about models and how they can be used to optimize your production process. This is what we do with TIM, and this is how we can help to bring predictive modeling into your environment.