Building solutions with machine learning often requires a data scientist. Azure Cognitive Services enable organisations to take advantage of AI, without requiring a data scientist. Microsoft did the heavy lifting by creating the machine learning models, pipelines and required infrastructure needed to build the model and packaged it up into Cognitive Services. The services have been significantly matured and allow you to extend your application with intelligence in the areas of Vision, Speech, Language, Knowledge, Search and Discover.
In this demo-packed session, we will first give a complete overview of the services, their strengths and practical use cases ranging from image and face recognition, real time speech translation to news personalisation in websites by learning from the user preferences in real time. In the second part we will take a closer look of how to use the Cognitive Services to create searchable information out of non-searchable content by attaching the Cognitive Services to the Azure Search indexing pipeline. In the last part of the presentation we will discuss Container support for Cognitive Services which provides more flexibility in hosting the services and support for better governance, remote locations or low latency scenarios.