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We’re arrogant to stock that Microsoft has erstwhile again been named a Leader successful the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.
We’re arrogant to stock that Microsoft has erstwhile again been named a Leader successful the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms. We judge this designation reflects our continued committedness to providing organizations with a broad toolchain for gathering and deploying instrumentality learning models and AI applications, transforming however businesses operate. Azure Machine Learning is portion of a broad, interoperable ecosystem crossed Microsoft Fabric, Microsoft Purview, and wrong Azure AI Foundry.
Gartner defines a information subject and instrumentality learning level arsenic an integrated acceptable of code-based libraries and low-code tooling. These platforms enactment the autarkic usage and collaboration among information scientists and their concern and IT counterparts, with automation and AI assistance done each stages of the information subject beingness cycle, including concern understanding, information entree and preparation, exemplary creation, and sharing of insights. They besides enactment engineering workflows, including the instauration of data, feature, deployment, and investigating pipelines. The platforms are provided via desktop lawsuit oregon browser with supporting compute instances oregon arsenic a afloat managed unreality offering.
Leading the mode successful 2025
With Microsoft, we’re turning our media expertise into a competitory advantage—and harnessing information to physique brands and thrust concern growth.
—Callum Anderson, Global Director for DevOps and SRE astatine Dentsu.At Microsoft, we envision a unified acquisition wherever information scientists, AI engineers, developers, IT operations professionals, and concern users travel unneurotic to make applications and negociate the full AI lifecycle crossed personas and projects. To that end, successful November 2024, we announced the availability of Azure AI Foundry—a level that allows developers to design, customize, and negociate AI applications. Azure Machine Learning is simply a trusted workbench that exists connected apical of Azure AI Foundry and powers the underlying instrumentality concatenation technology, with capabilities for exemplary customization, including fine-tuning and RAG.
Advancing AI with Azure Machine Learning and intelligent agents
As portion of Azure AI Foundry, the Foundry Agent Service empowers developer teams to orchestrate AI agents that automate complex, cross-functional workflows. Whether gathering solutions for bundle engineering, concern process automation, lawsuit support, oregon information analysis, Foundry Agent Service provides a robust, secure, and interoperable instauration to operationalize AI agents successful accumulation environments.
- With enactment for multi-agent orchestration, developers tin plan cause systems that coordinate crossed tasks, stock state, retrieve from failures, and germinate flexibly arsenic requirements change. These agents tin beryllium grounded successful endeavor cognition utilizing Microsoft Fabric, Bing, and SharePoint, portion interacting with some proprietary and third-party tools acknowledgment to unfastened standards similar MCP (Model Context Protocol) and A2A (Agent2Agent).
- Developers tin commencement gathering locally utilizing open-source frameworks similar Semantic Kernel and AutoGen, and we’re connected a wide way toward delivering a unified SDK crossed the 2 frameworks and Azure AI Foundry that allows you to determination from section experimentation to accumulation successful unreality without rewriting immoderate code. This ensures accordant developer experience—from archetypal prototyping to managed orchestration with observability and enterprise-grade control.
Together, Azure Machine Learning and Foundry Agent Service alteration a aboriginal wherever AI systems are designed for endeavor usage with scalability and information successful mind.
Leveraging AI models with Azure AI Foundry
Azure AI Foundry offers developers an innovative method of deploying and managing its implicit 11,000 AI models with tools similar the Model Router, Model Leaderboard, and Model Benchmarks.
- The Model Leaderboard simplifies the examination of exemplary show crossed real-world tasks, providing transparent benchmark scores, task-specific rankings, and unrecorded updates, enabling users to prime the precocious accuracy, accelerated throughput, oregon competitory price-performance ratio efficiently.
- Model Benchmarks successful Azure AI Foundry connection a streamlined mode to comparison exemplary show utilizing standardized datasets, portion besides allowing customers to measure models connected their ain information to place the champion acceptable for their circumstantial scenarios.
- Complementing this, the Model Router—available present for Azure OpenAI models—dynamically routes queries to the astir suitable ample connection exemplary (LLM) by assessing factors specified arsenic query complexity, cost, and performance, ensuring high-quality results portion minimizing compute expenses.
These capabilities empower businesses to deploy flexible and adaptive AI systems with enterprise-grade performance, security, and governance. With integrated innovation from Microsoft and its ecosystem, users summation entree to future-ready solutions that heighten ratio and scalability, ensuring they enactment up successful the rapidly evolving AI landscape.
Optimizing AI show with fine-tuning successful Azure AI Foundry
Fine-tuning is an indispensable instrumentality for organizations aiming to customize pre-trained AI models for circumstantial tasks, enhancing their performance, accuracy, and adaptability, each portion reducing operational costs. Fine-tuning successful Azure AI Foundry is powered by the underlying Azure Machine Learning instrumentality chain.
- With innovations specified arsenic Reinforcement Fine-Tuning (RFT) utilizing the o4-mini model, Azure AI Foundry enables developers to amended reasoning, context-aware responses, and dynamic decision-making done reinforcement signals. This adaptability is peculiarly suited for applications requiring ongoing learning, making it an perfect method for evolving concern logic and ensuring models enactment applicable successful dynamic environments.
- Azure AI Foundry further simplifies fine-tuning with features specified arsenic Global Training and the Developer Tier. Global Training lowers costs by allowing exemplary customization crossed aggregate Azure regions, giving developers flexibility and scalability portion adhering to strict privateness policies. The Developer Tier offers an affordable mode to measure fine-tuned models, enabling simultaneous investigating crossed deployments and empowering users to take the champion campaigner for accumulation with precision and efficiency.
Together, these capabilities alteration developers and enterprises to unlock the afloat imaginable of their AI systems, driving innovation and ratio successful the rapidly evolving integer landscape.
Enabling organizations to deploy AI solutions
From healthcare and concern to manufacturing and retail, customers are utilizing Azure Machine Learning to lick analyzable problems, optimize operations, and unlock caller concern models. Whether it’s deploying instauration models, orchestrating AI agents, oregon scaling real-time inference, Microsoft is helping organizations crook information into impact.
- Mars Science & Diagnostics uses Azure AI to marque the satellite a healthier spot for pets.
- Accenture champions liable AI, gains faster clip to marketplace with Azure AI Foundry.
- Efficient power with Microsoft Fabric optimizes hydrogen accumulation astatine OGE.
- Coles Supermarkets embraces AI, unreality applications successful 500-plus stores with Azure Stack HCI.
Begin your travel with Azure Machine Learning
The migration to Azure is conscionable the beginning. We’ve laid the instauration to research opportunities we could lone ideate before.
—Steve Fortune, Chief Digital and Technology Officer astatine CSX.Machine learning is revolutionizing the operational and competitory scenery for businesses successful the integer age. It offers opportunities to optimize concern processes, amended lawsuit experiences, and thrust innovation. Azure Machine Learning serves arsenic a robust and versatile level for instrumentality learning and information science, enabling organizations to instrumentality AI solutions responsibly and effectively.
- Read the report: Magic Quadrant Data Science Machine Learning Platforms 2025.
- Discover much astatine Microsoft Customer Stories.
Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, By Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, 28 May 2025.
GARTNER is simply a registered trademark and work people of Gartner, Inc. and/or its affiliates successful the U.S. and internationally, Magic Quadrant is simply a registered trademark of Gartner, Inc. and/or its affiliates and is utilized herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. arsenic portion of a larger probe papers and should beryllium evaluated successful the discourse of the full document. The Gartner papers is disposable upon petition from [https://www.gartner.com/en/documents/6533902].
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