How do you apply AI to Azure? Microsoft explains

At Microsoft Build, several new projects made their way to the audience. One of the exciting developments for the developers included Azure data and AI services.

Microsoft in its blog states Azure’s AI services continue to empower developers of all skill levels to build intelligent applications with the tools and languages of their choice. Developers with no machine learning experience can access high-quality vision, speech, language, and decision AI models through simple API calls. Developers building their own machine learning models can use tools like Jupyter notebooks, Visual Studio Code, and open-source frameworks, such as PyTorch and TensorFlow.

Microsoft at the Build conference announced Azure Applied AI Services. These services combine Azure Cognitive Services with task-specific AI and business logic, so developers can accelerate building AI solutions for common scenarios, such as document processing, customer service, and extracting insights from content.

How does Azure Bot service help you ask? Azure Bot Services makes it easier to build, test, and publish text, speech, or telephony-based bots through an integrated development experience. Azure Metrics Advisor, now generally available, automatically detects and diagnoses issues to minimize downtime. Stating several examples where this service has made a difference, Microsoft states: “Samsung uses Azure Metrics Advisor to enhance its SmartTV service. Azure Video Analyzer, now in preview, brings Live Video Analytics and Video Indexer together so developers can quickly build AI-powered video analytics solutions. Dow relies on Azure Video Analyzer to help improve workplace safety, and Lufthansa uses it for improved operational efficiencies and safer aircraft turnaround.”

Also now for developers preferring low-code environment, Microsoft Power Apps has been an exciting development announced at Microsoft Build. Now one can turn to natural language to code and program by example with an AI-powered app development approach. This has been made possible by an OpenAI GPT-3 model, one of the largest natural language models in the world.