AI is the Future of Media

About GlobalLogicFor 17 years, GlobalLogic has partnered with businesses across every major industry to make amazing products and connect the dots between people, products, and business opportunities. Now, in an increasingly digital world that places the consumer at the center of every interaction, we’re showing businesses how they can connect the dots back to consumers, innovate within predictable budgets, and bring the next generation of digital products and services to market.

AI is the future of media

From video content analysis tools to video recommendation engines, AI has already made an impact on the media industry — and it’s only going to keep evolving.

Artificial intelligence is likely one of the most used buzzwords of our time. No matter whether you are in the automotive industry, healthcare, retail or something else, everyone is talking about AI. The media industry is no exception; from NAB to IBC, from Europe to the US, this phrase is resonating on every industry event’s floor. We can argue for a long time whether AI will boost the economy or kill industries, how many new innovative businesses will emerge, how many people might become unemployed, how secure AI-based solutions might be, and so on. I’m pretty sure this could be a great topic for a live debate. But let’s leave aside these “philosophical” aspects and focus more on potential and capabilities.

Most media industry players already boast some kind of AI-based solution implementation within their business workflows. Netflix can be easily called a pioneer here because of its intelligent cast compilation and viewer data analytics (e.g., “House of Cards”); the sophisticated deep learning and computer vision algorithm that is applied to its recommendation engine, and which is far beyond the industry standard and is still evolving; and all the way back to its video encoding, which analyzes each shot in a video and compresses it without affecting the image quality, thus reducing the amount of data it uses.

AI is Already Gaining Traction

Comcast uses machine learning models (among other solutions) to predict customer issues right before they occur. According to Adam Hertz, VP of Engineering at Comcast, their technology is 90% accurate in terms of predicting if a technician needs to drive to a subscriber’s home to fix a connectivity problem.7 Major tech vendors like Amazon, Microsoft, IBM, and of course Google are also working hard in this direction. Let’s take for example Microsoft and its Azure AI platform. From pre-built AI, to customizable ML and deep learning services and tools, you can find all you need to upgrade your solutions and services with cognitive capabilities, natural language processing, etc.

● Content

● User Experience

● Video Workflows

Areas Where AI is Disrupting the Media Industry

In a nutshell, if you have specific, well-defined tasks that consist of

repetitive and not creative work, then it might be a good case to

consider the power of AI. The same is true if you have tons of data

and use more than a few people to “play” with it.