As it turns out, Microsoft News has been working for years on some pretty advanced algorithms that analyze their articles and determine how to increase personalization, which ultimately increases consumption. However, when I asked them if there were any gaps, they were quick to answer that they would love more insights on their videos.
Pharmaceutical companies need to meet demanding sales goals, manage intricate regulatory compliance, and maintain a competitive hold on the market.
The healthcare industry has started to embrace mobile apps and cloud technologies, and not just to optimize internal operations. Cincinnati Children’s Hospital Medical Center wants to make visits to hospitals and doctors’ offices easier for patients and families.
We recently announced a preview of Docker support for Microsoft Azure Cognitive Services with an initial set of containers covering Computer Vision, Face API, and Text Analytics. Today, we are happy to add support for our Language Understanding service.
Last week we announced a preview of Docker support for Microsoft Azure Cognitive Services with an initial set of containers ranging from Computer Vision and Face, to Text Analytics. Here we will focus on trying things out, firing up a cognitive service container, and seeing what it can do.
Building solutions with machine learning often requires a data scientist. Azure Cognitive Services enable organizations to take advantage of AI with developers, without requiring a data scientist.
進歩していくには、人類の業績の最先端をさらに開拓するよう努力を続ける必要があると考えます。それは単に流行 (はやり) の機能を加えることではなく、現実の問題を解決する目的で進歩し続けようとする心構えです。
We are pleased to announce the preview availability of Bing Local Business Search API on Cognitive Services. Bing Local Business Search API enables users to easily find local business information within your applications, given an area of interest.
The Text Analytics Cognitive Service announces Public Preview of Named Entity Recognition. With a simple API call, apply robust machine learning models to your unstructured text and recognize more than 20 types of named entities such as people, places, organizations, quantities, dates, and more.
In recent years, we have seen a leap in practical AI innovations catalyzed by vast amounts of data, the cloud, innovations in algorithms, hardware, and more. So how do developers begin to design AI applications that engage and delight your customers, optimize operations, empower your employees, and transform products?