To do this, the app uses augmented reality technology to scan customers' feet and capture measurement, morphology, and anatomy data. Computer Australia Mobile Number Database vision processes this data, cross-references it with product information and generates a personalized recommendation. In addition, Nike itself uses this data to Australia Mobile Number Database increase precision in product design and manufacturing. Think, then, that Nike Fit can be integrated with Nike By You. This is the intention of the brand: to create a totally personalized experience. 9. Content curation The amount of content we produce and consume on the Internet is Australia Mobile Number Database incalculable. On social media especially, the timeline is contested by posts from friends, family, and brands, so it's hard to pay attention to everything, right?
That is why platforms like Twitter and Pinterest are investing in Artificial Intelligence to make better decisions and recommendations Australia Mobile Number Database for users. The intention is to present the content that the user most often loves and to make the experience more relevant. For its part, on Twitter, deep Australia Mobile Number Database learning and NLP technologies are used to improve knowledge about each user and order the timeline according to their interests. Artificial Australia Mobile Number Database Intelligence is also an ally in the fight against extremism, harassment, fake news and other violations. In 2017, the platform suspended more than 300,000 accounts Australia Mobile Number Database linked to terrorism through Artificial Intelligence technologies. At Pinterest, the platform's focus is visuals.
Therefore, computer vision is the main Artificial Intelligence technology used to improve the user experience. Pinterest Lens, for example — which lets you use your phone's camera for searches — sees images almost like Australia Mobile Number Database a person. behind artificial intelligence in companies Source. Towards Data Science The robots need to identify patterns in the images to make recommendations aligned with the Australia Mobile Number Database research and their tastes and interests. Here, a pin from a stranger who owns what you want to find takes precedence over a friend's post. In other words, the logic of content curation is different from that of Facebook; and this is done with deep learning about the use of each user on each platform. The intention is not only to recommend photos of bedroom closets when Australia Mobile Number Database searching for “bedroom closets”, but also to bring inspiration to decorate a room according to the style of each person.