Gartner recently released their Magic Quadrant for 2021 Cloud AI Developer Services. Microsoft is in the Leaders quadrant and was positioned highest on the ability to execute axis. You can download a complimentary copy of the Magic Quadrant for Cloud AI Developer Services for the full report. In this post, we’ll look at why, we think, Microsoft was placed in the Leaders quadrant.
According to the report, “Gartner defines cloud AI developer services (CAIDS) as cloud-hosted or containerized services/models that allow development teams and business users to leverage artificial intelligence models via APIs, SDKs, or applications without requiring deep data science expertise.”
They specifically evaluated services with capabilities in language, vision, and automated machine learning. For Azure, this includes Azure Cognitive Services, Azure Machine Learning, and Microsoft’s conversational AI portfolio. For Power Platform, this includes AI Builder and Power Virtual Agents.
“Gartner believes that enterprise development teams will increasingly incorporate models built using AI and ML into applications. These services currently fall into three main functional areas: language, vision and automated machine learning (autoML). The language services include natural language understanding (NLU), conversational agent frameworks, text analytics, sentiment analysis and other capabilities. The vision services include image recognition, video content analysis and optical character recognition (OCR). The autoML services include automated tools that will let developers do data preparation, feature engineering, create models, deploy, monitor and manage models without having to learn data science.”
Azure AI enables you to develop AI applications on your terms, apply AI responsibly, and deploy mission-critical AI solutions.
Develop on your terms
Azure AI allows you to build AI applications in your preferred software development language and deploy in the cloud, on-premises, or at the edge. Azure provides options for data scientists and developers of all skill levels – no machine learning expertise required. See the Microsoft section of the Magic Quadrant for Cloud AI Developer Services.
Apply AI responsibly
Azure offers tools and resources to help you understand, protect, and control your AI solutions, including responsible ML toolkits, responsible bot development guidelines, tools to help you explain model behavior and test for fairness, and more. We never use your data to train our models, and we keep principles like inclusiveness, fairness, transparency, and accountability in mind at every stage of our AI research, development, and deployment. See the Microsoft section of the Magic Quadrant for Cloud AI Developer Services.
Deploy mission-critical solutions
Azure lets you access the same AI services that power products like Microsoft Teams and Xbox, and that are proven at global scale. Azure leads the industry when it comes to security, and we have the most comprehensive compliance coverage of any cloud service provider. We continue to innovate and our Microsoft Research team has made significant breakthroughs, most recently reaching human parity with image captioning. See the Microsoft section of the Magic Quadrant for Cloud AI Developer Services.
Whether you’re a professional developer or data scientist, or just getting started, we hope that you can use Azure AI services to build impactful AI-powered applications that solve complex problems and enhance customer experience.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.