REWIRE
Living Businesses strive to develop a workforce that combines the power of human ingenuity and artificial intelligence.
Take GE Global Research, which is investing in training scientists to become “dual scientists” who are not only masters in their original area of study, but also understand how to interact with AI and other machine learning systems to create additional value. For example, dual scientists help develop cloud-hosted software models of GE machines (such as turbines, aircraft engines and locomotives) that can help the company improve customer safety levels, as well as cut costs. These models, called “digital twins,” help anticipate a specific machine’s service needs and tailor its maintenance schedule. The company found that a locomotive digital twin resulted in a 32,000-gallon reduction in annual fuel consumption and a concurrent reduction in carbon emissions of 174,000 tons.
By July 2017, 400 employees had received certification in data analysis and about 50 scientists had shifted jobs accordingly. Meanwhile, GE created 100 new jobs related to AI and robotics in 2016.