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Perhaps this is the first time you've read about it. But we assure you that you interact with it almost daily. What do we mean?<\/p>\n
Well, I'm sure you get recommendations from YouTube, Netflix or Spotify on a regular basis. And probably more than once they are good recommendations. Maybe you also ask\u00a0Siri<\/em>\u00a0or\u00a0Alexa<\/em>\u00a0something and they answer your questions. Well, behind all this, there is\u00a0machine learning<\/em>.<\/p>\n Simply put, this is a branch of Artificial Intelligence (AI) that\u00a0is responsible for converting large amounts of data into computer programs<\/strong>, capable of\u00a0drawing inferences and providing solutions<\/strong>\u00a0in response. This is a fundamental skill for technology\u00a0to identify patterns\u00a0<\/strong>and\u00a0make increasingly accurate predictions.<\/strong>\u00a0.<\/p>\n More than a decade ago, Amazon set out to make\u00a0machine learning<\/em>\u00a0a\u00a0philosophy\u00a0<\/strong>that cuts across the company. To achieve this, it needed to invest resources, time and effort, and get all its members involved in this challenge. How did they do it?<\/p>\n In the first instance, the management team asked each\u00a0team leader<\/em>\u00a0to think about\u00a0how AI could enhance or bring benefits to their specific area of work<\/strong>\u00a0.<\/p>\n Simultaneously, they invited subject matter experts to collaborate on medium- and long-term AI initiatives. They hired data scientists externally and created the Machine Learning University to train their developers.<\/p>\n In this way, they created the\u00a0Amazon SageMaker platform<\/em>, which allows them to\u00a0create, train and deploy machine learning models in the cloud<\/strong>. This tool simplifies the creation of models for developers, making it a more accessible and scalable task.<\/p>\n Thanks to these measures, all of Amazon's departments were in one way or another affected by\u00a0machine learning<\/em>. The AI systems that provide suggestions and offer recommendations to its customers improved exponentially over time.<\/p>\n Amazon can estimate demand for a huge inventory of products. In addition, the sophistication and quality of its predictive models allow the company\u00a0to meet users' expectations<\/strong>, providing convenience and speed in each shipment. As well as\u00a0designing more personalized experiences<\/strong>that add value and build customer loyalty.<\/p>\n Consolidating as a benchmark in\u00a0machine learning<\/em>\u00a0is not something that is achieved overnight. As we have seen, they were years of investment in technology and research, as well as years of\u00a0cultural transformation<\/strong>, encouraging their teams to include innovation as a key value, to experiment, develop tolerance to mistakes and get to the desired place.<\/p>","protected":false},"excerpt":{"rendered":" Quiz\u00e1 esta sea la primera vez que leas sobre \u00e9l. Pero te aseguramos que interact\u00faas con \u00e9l casi a diario. \u00bfA qu\u00e9 nos referimos? Pues, seguro recibes recomendaciones de YouTube, Netflix o Spotify de forma habitual. Y probablemente m\u00e1s de una vez sean buenas recomendaciones. Quiz\u00e1 tambi\u00e9n le preguntas algo a\u00a0Siri\u00a0o\u00a0Alexa\u00a0y ellas responden a tus […]<\/p>","protected":false},"author":2,"featured_media":7785,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[162],"tags":[],"class_list":["post-7782","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-diseno-ux-ui"],"yoast_head":"\n![\"\"](\"https:\/\/dobleuv.com\/wp-content\/uploads\/2022\/11\/Blog-machine-2.png\")
<\/p>\nThe Amazon success story<\/strong><\/h1>\n
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