Practical Applications of Artificial Intelligence and Machine Learning in Media and Entertainment
Artificial Intelligence (AI) presents a significant opportunity to not just improve bottom-line efficiency, but also top-line revenue generation for Media and Entertainment (M&E) companies to counter many of the current challenges in the industry, as old revenue models stagnate, while new ones emerge. It is time for M&E companies to take a different look at AI, particularly the subset of AI called Machine Learning (ML). Unlike earlier versions of AI, which sought to recreate human intelligence through human-programmed rules, ML is the process of creating a statistical model from various types of data that perform various functions without having to be programmed by a human. There are various approaches within ML, such as Deep Learning (DL), which uses neural network algorithms to mimic the way the human brain functions, basically interconnecting neurons to recognize complex patterns in pictures, text, sounds, and other data to produce insights, recommendations, and predictions.