With the Computer Vision functionality, applications can use real-time video to analyse how people move through spaces, the occupancy count, and even face mask detection.Ĥ. Cognitive Services for Visionincludes many features designed to identify and analyse content within images and videos. This means that applications can understand conversations and unstructured text, with features such as entity recognition, sentiment analysis and question answering.ģ. Cognitive Services for Languageallow you to easily add natural language capabilities to your applications. Some examples of these tools include speech to text, text to speech, real-time audio translation and speaker recognition.Ģ. Cognitive Services for Speech are a set of tools that support next-generation speech capabilities within applications. These services are split into four categories: Speech, Language, Vision and Decision.ġ. These services are beneficial as they can be added to an application without the developer having AI or data science experience. Ready to migrate some of your workloads to Microsoft Azure? Explore how here > Microsoft Azure Cognitive ServicesĪzure Cognitive Services are cloud-based services with REST APIs and user interfaces available to help organisations build cognitive intelligence within their applications. In this article we will discuss some of the functionality within the Azure AI platform, and how AI can benefit your organisation. Although AI has technically been in use for many years, it is only recently that organisations have truly harnessed the power of AI to deliver better business outcomes.ĪI may seem like it is only feasible for large organisations with even larger budgets, but with Microsoft Azure, these technologies are becoming more affordable. Artificial Intelligence (AI) and Machine Learning (ML) are undoubtably some of the greatest technological advancements of the past decade.
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