Next-Generation Machine Learning Ushers In Innovations

In recent years, there has been a big leap in machine learning due to the capabilities of graphic processing units (GPUs) evolving at lightning speed. Even though machine learning is never going to be exactly human-like, we are getting closer in a few areas, like imagenet large scale challenge, where the error rates are on par with or better than humans. A recent announcement of SAP human resources implementing bias filters is another great example of machine learning performing better than humans. Machine learning promises a next wave of innovations for every application, business process, and interaction of the enterprise with its customers. To disrupt, companies need to have a "machine learning-first" mentality to differentiate them in the marketplace.