Algorithms creating posters

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Use Natural Processing Language. Simply put, NPL is the ability of computers to understand human language as it is spoken or typed. Small changes in the way a chatbot converses can have a big impact on customer behavior. Microsoft's LUIS library ( luis.ai ) is a great start to training your chatbot.

We all know that Netflix uses our search history, content viewing history, and ratings to make more accurate recommendations. We really live in a bubble created by our own tastes. But there is another area that Netflix has managed to automate in a very clever way.

Any designer who has ever worked on a project that requires displaying content, such as a website, a blog, a music magazine, or an online store with an extensive product catalog, will know that producing and maintaining images is a benin consumer email list nightmare of formats, measurements, and sizes. Well, only if you do it manually.

Netflix discovered how much images influence users' decisions about what to watch. To do so, it developed an AI algorithm to cut out characters in video captures and apply stylized movie titles to create a unique poster for users' interests, languages ​​and location.

Not only this, but it also created an algorithm to perform A/B testing to measure the effectiveness of each design and learn by itself about what is effective and what does not convert, thus becoming smarter as users consume content. When AI handles such tasks, the design team can better focus on understanding the user journey through the app and keep refining the rules [2].