{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"AT&T Predicts Future, Save Service with Machine Learning","description":"We\u2019ve featured a number of artificial intelligence researchers on the show, but today we switch gears and dive into the business side of the industry. In this episode, Dr. Mazin Gilbert (who earned his PhD in Engineering) breaks down AT&T\u2019s efforts to make more intelligent systems large-scale. How do they train their network to route traffic through the right nodes on holidays, when certain areas of traffic are overloaded? How can a system know, based on signals from hardware, which pieces might be going bad and need replacing and send out a message to alert the company? Making a network \u2018aware\u2019 is a large challenge, but Mazin gives an insider\u2019s perspective as to how economic and business pressures are driving AT&T to implement machine learning technologies in order to remain profitable.   ","author_name":"The AI in Business Podcast","author_url":"http:\/\/emerj.com","html":"