This may be one way to success in business using machine learning!

How can Machine Learning help us to lead the transformations of public organizations from traditional to Exponential? (part 2)

In the part 1 we adapted the Organizational Responsibility Model to Be Exponential with NetLogo, then with some algoritms of Machine Learning we build a Decision Tree Model that have as an input data from 1000 simulations.

Now we have overcome the challenge of replacing the data from these 1,000 simulations with real data from an IT company and inserting them into the Decision Tree. This model has the ability to predict which is the best Modal (Bimodal TI) to perform certain activity: Traditional or Exponential.

We are using Machine Learning developed in the Jupyter Notebook environment, in the Python language, to aid in the decision when to use the traditional or exponential.

Look here for the results:

https://pt.slideshare.net/guttenbergpassos/mro-predict