What Does Interoperability Mean for the Future of Machine Learning?

Interoperability, or the ability for two systems to communicate effectively, is a key factor in the future of machine learning. For banking, healthcare, and other everyday industries, we’ve come to expect that the platforms we use to exchange information can communicate seamlessly whenever we need them to. Because we all have hundreds of thousands of data points associated with our …

driving ROI Through AI

Driving ROI Through AI

In an effort to help executives working to drive ROI from AI, we worked together with ESI ThoughtLab and a group of other AI leaders – including Cognizant, Cortex, Dataiku, DataRobot, Deloitte, and Publicis Sapient – to produce this report based on a survey of 1,200 organizations. This benchmarking study spans across a wide section of industries and world markets …