When people think of tech in media, their first thoughts are likely around digital platforms that bring more content to our fingertips. Now, leading innovations -– namely, AI and blockchain -- are enabling media companies to take this a step further by delivering even more compelling content to broader audiences. AI is being used to watch and understand live video in real-time to provide insights that enhance the viewer experience. Technologies such as computer vision and image recognition can tag video based on different characteristics. There is no better example of using AI to create dynamic experiences than in sports, where AI can identify exciting plays by evaluating players' actions or an audience's reaction.

In Part 1 of this tutorial series, we gave an overview of cognitive computing and provided examples of how cognitive computing is being used to create industry solutions. We also determined a need for a cognitive platform to implement these solutions. The benefits of a cognitive solution include the reuse of components, faster development of the solution, and reduced costs. The key to creating such a platform includes the ability to run multiple use cases on the platform. Therefore, it is critical to identify these use cases and determine how a platform can provide benefits when implemented.