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 …

text annotation

What is Text Annotation in Machine Learning?

Everything You Need to Know About Text Annotation with Yao Xu Every day, we interact with different media (such as text, audio, images, and video), relying on our brain to process what media we are seeing and make meaning out of it to influence what we do. One of the most common types of media is text, which makes up …

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 …