AI for the Enterprise

The cognitive future of the Media and Entertainment Industry

Share this post:

Concert scene

The Oscars last week got us thinking about how the Media and Entertainment industry has changed over the last 50 years. Once we sat around the television watching the Oscars live with no opportunity for sharing our comments, ideas, and opinions on social media. Now we can view the awards ceremony on our laptops while we simultaneously watch the coveted nominees live Tweet, Snapchat, and Instagram the event – giving us our own VIP digital ticket to the show. One example of this is in 2014 when host Ellen DeGeneres tweeted a selfie with her and a bunch of high-powered stars. She literally broke the internet as Twitter’s servers went down for 20 minutes due to the instant surge of 3.4 million retweets. The event has become a platform for both the Oscars and its stars to engage with their fans and grow their digital following. The Oscars isn’t the only show that has changed its strategy to entice the new digital viewer. Pretty much every company that touches the Media and Entertainment has had to evolve.

Why is this the case? We came up with three main reasons…and solutions.

  1. Consumers use digital to engage with our idols, which results in billions of posts per year

68% of CMOs report being unprepared for the growth in social data

Solution: Ampsy

Ampsy and Watson are working together to help brands, such as Jimmy Kimmel Live, tackle difficult marketing challenges in the entertainment industry. With millions of social posts generated each day, marketers are looking to Ampsy to better understand the incoming data to more effectively engage their audience. Their solution automatically aggregates and categorizes fan’s posts across channels in an easy-to-read dashboard. Ampsy also uses geofencing capabilities to capture posts that occur in a certain location, as well as the Sentiment Analysis API that reports on the personality of their audience. This helps their clients quickly engage with the fans and influencers that will increase their brand exposure. By doing so, they are creating a digital VIP experience for their fans.

2. Consumers expect a personalized and easy-to-use product experience

In the US, Nielsen SoundScan has confirmed that paid song downloads are down 12% in 2014, from 1.26bn to 1.1bn, while song streaming rocketed from 106bn to 164bn.

Solution: Quantone

A music intelligence company called Quantone is using Watson services to curate personalized music playlists for listeners with an application called “Music Geek.” Their algorithm not only uses album titles or artist data, but also music journalism, expert opinions, and deep metadata. For every song recommendation, there is a highly intelligent recommendation behind it. Quantone analyzes 4 million+ pages per minute to deliver music recommendations to their listeners. If you’re looking for a highly personalized playlist for your daily activities, look no further than Quantone!


3. Consumers’ interests are constantly changing

63% of CMOs report being unprepared for shifting consumer demographics

Solution: Equals 3 Media

Equals 3 Media developed a media research, planning and buying application called Lucy that helps clients, such as Havas Media reduce their time to launch a campaign. Their end-to-end solution allows media planners and brand managers to plan their campaigns in less time, while increasing their accuracy. By combing their own technology with API’s such as Alchemy Language and Natural Langauge Classifier, Lucy helps media buyers and brand managers by providing easy-to-use data analysis, suggestions to segment their target audience, and industry research in an easy-to-use format.

Want to experience more Watson in the Media and Entertainment industry? Our team is an API sponsor at the SXSW Music Hackathon on March 15. We are excited to see what innovations are developed in just 24 hours. If you’re in the Austin area, come check us out!


Kick Start Your Cognitive Future

Offering Manager - IBM Digital Group

More stories
April 5, 2019

How can AI improve the employee experience?

How can AI improve the employee experience? In this episode of thinkPod, we are joined by co-founder & CEO Dennis Mortensen and Ben Jackson, founder of For the Win. We talk to Dennis and Ben about hiring algorithms and the danger of bias, whether HR teams are equipped to make data-driven decisions, Inbox Zero versus Inbox Infinity, and the possibility of cultural change.

Continue reading

March 5, 2019

Use intelligent search to find real answers with less effort with Watson Discovery

Introducing, smart document understanding (SDU), a powerful feature now available in Watson Discovery, that can give you accurate answers faster, from 10 days to 2 minutes for one leading bank. Building on advances from IBM Research and drawing on the corpus conversion service released in late 2018, smart document understanding allows you visually train AI to understand your documents.

Continue reading

February 15, 2019

IBM’s Think 2019 highlighted best of AI customer service applications

IBM's Think 2019 was an industry-leading conference that took place February 12-15 in San Francisco and included 2,000+ technical and business sessions with execs from ExxonMobil, Sprint, Honda, KPM, and others. In addition, more than 800 leaders, 400 developers and 200 distinguished engineers from IBM appeared on stage and in private sessions. Speakers ranged from football great Joe Montana, skateboard pioneer Tony Hawk and astronaut Taylor Richardson.

Continue reading