(Reshared from Microsoft’s Azure Blog) Microsoft is positioned at the top of the “Completeness of Vision” axis in Gartner’s 2022 Magic Quadrant for Cloud AI Developer Services.
Microsoft is “creating models as platforms on Azure,” Chairman and CEO Satya Nadella said at Microsoft Build.
According to Venture Beat, ’87 percent of AI initiatives are never implemented.’ Organizations struggle to make their models production-ready by addressing issues like scalability, security and governance in addition to the difficulty of data preprocessing and constructing AI models. Because of this, Azure AI is used by more than 85% of Fortune 100 firms across various sectors and use cases.
As building blocks for intelligent solutions, pre-built and configurable AI models are being used by developers more and more to shorten time to value. Over the years, Microsoft Research has made important strides in AI, becoming the first to match human capabilities in speech, vision, and language. Today, Microsoft is pushing the boundaries of language model capabilities with large models like Turing, GPT-3, and Codex (the model powering GitHub Copilot) to help developers be more productive. Azure AI packages these innovations into production-ready general models known as Azure Cognitive Services before using Azure Applied AI Services for developers to integrate via API or an SDK.
Today, Microsoft is pushing the boundaries of language model capabilities with large models like Turing, GPT-3, and Codex.
Microsoft provides automated machine learning, commonly known as autoML, for developers and data scientists wishing to construct production-ready machine learning models at scale. Microsoft’s ground-breaking research on automating the time-consuming, iterative activities of machine learning model generation is the foundation for AutoML in Azure Machine Learning. Data scientists, analysts, and developers will have more time to concentrate on projects that bring value outside of operations, which will speed up their time to production.
Microsoft is “creating models as platforms on Azure,” as Chairman and CEO Satya Nadella said at Microsoft Build. Developers with various skill sets may benefit from cutting-edge AI research and incorporate it into their own apps. This includes both professional developers using pre-built models through Microsoft Power Platform and citizen developers building intelligent apps with APIs and SDKs.
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