Several of my colleagues and I recently had an opportunity to visit the Microsoft campus in Redmond, WA to meet with their data scientists and SQL Server 2016/ SQL Server R Services experts. Our objective was to collaborate on the machine learning models we are developing for our Advanced Reporting for Credit Unions™ (ARCU) business intelligence solution.
While machine learning algorithms have been around for quite some time, our team is looking to productize and operationalize predictive models for 240+ Jack Henry/Symitar customers. Predictive analytics is an area of data science that is getting more and more attention.
Why? Companies have accumulated a breadth and depth of available data and they want to maximize their investment by generating predicted outcomes that will help them make better decisions and take faster action.