AI Articles and Analysis in Media

The Indian telecom sector has been going through consolidation phase with the major players vying for the lucrative data services market, which is estimated to be worth 950 billion rupees by 2020, growing at a compounded annual rate of 21 percent, as per a report from Business Line. Bharti Airtel has consolidated its position as the No. 1 player with its acquisition of Tata Teleservices’ mobile business and Vodafone’s acquisition of Idea will really change the pecking order, the report suggested.

The U.S. music industry is an economic staple generating an estimated $7.7 billion in retail revenue in 2016, according to the Recording Industry Association of America. The year 2016 also marked the first time that music industry revenue was generated primarily from “streaming music platforms.”

Episode Summary: How can machine learning help us advertise through social media? In this episode, Thomas Jelonek, CEO of Envision.ai, talks to us about how in the next five years, machine learning might automate the laborious guess-and-check process of finding visual content with which users can engage. Right now, finding images and videos that will best generate engagement is a task reserved for a human. He or she shifts through images and video clips that may work for an audience based on anecdotal evidence and perception of past post success. Learn how, according to Thomas, machine learning could help you save time and money, generate you a better ROI, and build you a larger list with more accurate targeting on social media.

The North American sports industry is a cultural and economic staple generating billions of dollars in revenue each year. Spectator sports fall under the broader category of arts, entertainment, and recreation, representing 1.1 percent of the GDP in 2016. Artificial intelligence in sports may have been rare just five years ago - but now AI and machine vision are making their way into a number of sports industry applications, from chatbots to computer vision and beyond.

Artificial intelligence in news media is being used in new ways from speeding up research to accumulating and cross-referencing data and beyond.

As a business leader, you know the essential role of telecommunications in running a business. In the digital era, the telecom industry has shifted from basic phone and Internet service to a sector that is going high-tech and constantly evolving into a more mobile, wearable and automated environment.

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.

Security is a broad term, and in industry and government there are a myriad of "security" contexts on a variety of levels - from the individual to nation-wide. Artificial intelligence and machine learning technologies are being applied and developed across this spectrum.