![]() ![]() ![]() ![]() In all of these instances, each platform is collecting as much data about you as possible – what genres you like watching, what links you are clicking, etc., and using machine learning to make a highly educated guess about what you might want next. Machine learning is the process that powers many of the services we use today- recommendation systems like those on Netflix, YouTube, and Spotify search engines like Google and Baidu social-media feeds like Facebook and Twitter voice assistants like Siri and Alexa – the list goes on. You turn on Netflix and you expect that it will not only have plenty of pertinent suggestions for you, but also the most appropriate one based on all the previous movies and shows that you have watched over time. By Avinash Palepu, Namrata Shekhar and Paula NeeleyĪfter a long and hard week, it is Friday night and you are ready to relax and unwind with a glass of wine, a sumptuous dinner and a great movie.
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