Automating business insights through artificial intelligence

Decision makers are busy. Businesses can hire people to analyze data for them, but most companies are resource constrained and cant hire a small army to look through all their data. Wayde Fleener explains how General Mills implemented automation to enable decision makers to quickly focus on the metrics that matter and cut through everything else that does not.

In today’s age, decision makers have no shortage of data to inform their decisions. What they need are better methods to analyze all of that data and identify what matters in that moment of time. Business intelligence solutions still require an end user to sift through all of the data to uncover what matters, but most companies don’t have the resources to succeed. Artificial intelligence has presented one potential avenue to help decision makers in their job. However, the development of the final business application is where the implementation of AI tends to fall apart. So how do data scientists and builders of data products for businesses create applications so business decision makers will use them? Wayde Fleener explains how General Mills implemented automation to enable decision makers to quickly focus on the metrics that matter and cut through everything else that does not, covering the systems built to analyze the company’s massive amount of data, methods used to sort through this data to identify what matters, and the business applications that enable business users to use this system.