Machine Learning for Media Monitoring - with Signal Chief Data Scientist -

Episode Summary: One facet of business that nearly any industry has in common is the need to stay on top of news in their respective market, including competitor strategies or understanding changes in news related to the field. Media monitoring is a domain that machine learning (ML) is well suited for, with it's ability to coax out headlines, contextual information, and financial data from the seemingly endless stream of social, blog, and other information on the web today. Signal is a company that uses ML specifically for these purposes. In this episode, we speak with Signal's Chief Data Scientist and Co-founder Dr. Miguel Martinez, who dives into real business use cases illustrating the use of machine learning for media monitoring across industries. Brief Recognition: Dr. Miguel Martinez is chief data scientist at Signal, where he manages a team of data scientists to transform best algorithms from the fields of machine learning, information retrieval, and natural language processing into large-scale commercial products.