See what industry analysts are saying about Azure AI
Read the latest Azure reviews, reports, and evaluations from top analyst firms.
IDC MarketScape: Worldwide General-Purpose Conversational AI Platforms 2021 Vendor Assessment
Read why Microsoft was placed in the Leaders category in the 2021 IDC MarketScape for worldwide general-purpose conversational AI platforms.
"Microsoft provides a broad set of conversational AI services, including low-code/no-code tools and the ability to create voice-based assistants with custom voices. It offers capabilities in a wide variety of languages and provides a strong set of cloudbased, always-on services."
IDC MarketScape
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor's position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the icons.
GigaOm Radar for Evaluating Machine Learning Operations (MLOps)
Learn why GigaOm has positioned Azure Machine Learning as a leader in its MLOps Radar, including "Full lifecycle ML support, from data prep to deployment and drift monitoring to explainability. Microsoft's long history with ALM and DevOps, its Azure DevOps service, and its ownership of GitHub undergird an earnest and emphatic dedication to the key tenets of MLOps: operations support and automation."
Read the MLOps reportGigaOm Radar for Automated Machine Learning (AutoML)
Understand why Microsoft features as a leader in the latest GigaOm Radar for AutoML.
Read why GigaOm specifically calls out Azure Machine Learning as being "beginner friendly" and having "data labeling" support. The report also recognizes the flexibility and comprehensiveness of coverage that Azure offers. "Azure Machine Learning AutoML supports automatic featurization, but custom featurization settings are also available. Deep learning with BERT and bidirectional LSTM (BiLSTM) for natural language processing are also supported."
Read the AutoML report
GigaOm Benchmark Report for Enterprise Readiness of Cloud MLOps
Learn why GigaOm gave Azure Machine Learning the highest rating on its scorecard for enterprise readiness of Cloud MLOps.
GigaOm specifically calls out Azure Machine Learning as being "easy to start locally and scale as needed." The report also recognizes that Azure ML shines in governance, noting that "governance capabilities of the MLOps platform should allow users to set up network and data protection policies that, for example, will make sure users are not able to create workspaces with public IPs or without customer-managed keys. Only Azure ML offers the ability to do this."
"Overall, we found that Azure ML is the easiest to set up a test, orchestrate the model and data, and set up security."
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Gartner, Solution Scorecard for Microsoft Azure ML, By Daniel Cota, Su En Goh, 13 July 2021 MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor's position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the circles. Vendor year-over-year growth rate relative to the given market is indicated by a plus, neutral or minus next to the vendor name.
OMDIA is a registered trademark of Informa PLC and/or its affiliates. The information herein published by Omdia as part of a comprehensive research deliverable and should be evaluated in the original context.
Source – Omdia Decision Matrix: Enterprise Machine Learning Development Platforms, 2020–21. Results are not an endorsement of Microsoft. Any reliance on these results is at the third party’s own risk. Licensed reprints the entire research solution may be available via citations@omdia.com.