The television industry may have found a new way to measure its audience. When paired with analytics, automatic content recognition technology shows content providers what their audiences are watching, allowing them to engage viewers and offer relevant content on a second screen.
Marketers of the past relied on intuition to determine if creative campaigns were working, and focus groups to understand how customers engaged with their brand. The exponential growth of channels on which the customer can interact with brands has meant not only the downfall of the linear customer
Human resources has always been about people: attracting people, finding the right people for the right role, supporting and developing the people you do choose to hire. Historically, that process has relied heavily on human intuition. Now, like other industries, HR is being transformed by the
Are you placing yourself within the convergence of telecommunications and media? Discover how you can use cognitive computing and advanced predictive analytics to take advantage of the opportunities offered by mobile technology in the ever-evolving modern business environment.
If any one industry can claim digital transformation as a most immediate imperative, then the media and entertainment industry rises above the rest. Not only do organizations need to provide streaming content, but they also need to provide content on a diverse range of platforms. And to be
Audience demand is changing the face of media and entertainment. See how cognitive content and advanced data analytics are transforming this industry with simultaneous, on-demand, immersive viewing experiences on multiple devices.
An effective media management strategy hinges on data. As data becomes an increasingly essential player in today's streaming TV environment, video analytics is crucial to continued success in the media and entertainment space.
When you are covering one of the largest sporting events in the world, how do you give fans the best experience possible? Globo TV scored big during the FIFA World Cup in 2014 by listening to their fans with a social sentiment analysis solution from IBM.