Vídeos do Azure
We have learned how to communicate with machines. Isn’t it time machines learn to communicate with us? We discuss how you can add language understanding to your applications through industry examples and interactive conversations. We discuss some of the challenges of unstructured data, and we show how Microsoft Cognitive Services and Azure Search can help you navigate it, understand it, and extract insight from it.Presented by: Luis Cabrera-Cordon
Data is being created at an exponential rate and the vast majority of this content sits in unstructured formats such as PDF's, Office documents, Emails and Images. In this session we will discuss some of the challenges unstructured data presents and will show how Microsoft Cognitive Services and Azure Search can help you navigate it, understand it and allow you to extract insight from unstructured text.Presented by: Liam Cavanagh
In this session, you’ll get a Search overview, learn about new performance and scale enhancements, and get a glimpse into how Azure Machine Learning and Cognitive Services are used in customers' content and catalog search experiences.Presented by: Liam Cavanagh
Most likely you have seen product recommendations in some of your favorite ecommerce sites. These are often presented as "Frequently Bought Together" recommendations which show products that other users have purchased along with the currently viewed product. Recommendations are one of the many ways that Machine Learning can be used to enhance a user’s search experience and can be applied to a large number of scenarios beyond ecommerce. In this demo heavy session, we will discuss topics such as feedback loops, personalization, relevancy tuning and learn how to use technologies such as Azure Search and Azure Machine Learning to build out and enhance the full text search experience of your web and mobile applications.
Applications show intelligence when they can spot trends, react to unusual events, predict outcomes or recommend choices. Learn how to introduce intelligence traits into your apps including; establishing feedback loops, applying big data and machine learning techniques to classify, predict or otherwise analyze explicit and implicit signals, and operationalizing the full stack into the regular usage flow of the app. Most every day apps, from consumer to enterprise can deliver greater customer or business benefit by learning from user behavior and other signals. In this session we’ll take a pragmatic look at introducing real, useful data-driven intelligence into apps by walking through services, code and data needed to make it happen.
Liam is back for part 2 of this video to talk about one of the top features requested for Azure Search, the ability to index blobs.