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Introducing Azure Accelerate: Fueling transformation with experts and investments across your cloud and AI journey

As technology continues to reshape every industry, organizations are transforming with cloud, data, and AI—ultimately resulting in smarter operations, better outcomes, and more impactful customer experiences.

From global enterprises to fast-scaling startups, customers are putting Azure to work in powerful ways. To date, more than 26,000 customer projects have leveraged our offerings—Azure Migrate and Modernize and Azure Innovate—to drive faster time to value.

Introducing Azure Accelerate

As customer cloud and AI adoption needs change, we’re evolving our offerings to match your business priorities. Today, we’re excited to introduce Azure Accelerate, a new simplified offering designed to fuel transformation with experts and investments across the cloud and AI journey. Azure Accelerate brings together the full capabilities of Azure Migrate and Modernize, Azure Innovate, and Cloud Accelerate Factory in one place to assist customers from initial planning to full implementation. With Azure Accelerate, customers can:

Access trusted experts: The deep expertise of Azure’s specialized partner ecosystem ensures your projects launch smoothly and scale efficiently. You can also choose to augment your project by taking advantage of a new benefit within Azure Accelerate—our Cloud Accelerate Factory. Cloud Accelerate Factory provides Microsoft experts at no additional cost to deliver hands-on deployment assistance and get projects up and running on Azure faster.

Unlock Microsoft investments: Tap into funding designed to maximize value while minimizing risk. Azure Accelerate helps reduce the costs of engagements with Microsoft investment via partner funding and Azure credits. Microsoft also invests in your long-term success by supporting the skilling of your internal teams. Empower them with free resources available on Microsoft Learn, or develop training programs tailored to your needs with a qualified partner. Azure Accelerate supports projects of all sizes, from the migration of a few servers or virtual machines to the largest initiatives, with no cap on investments.

Succeed with comprehensive coverage: Navigate every stage of your cloud and AI journey with confidence through the robust, end-to-end support of Azure Accelerate. Start your journey with an in-depth assessment using AI-enhanced tools like Azure Migrate to gain critical insights. Design and validate new ideas in sandbox environments and then test solutions through funded pilots or proof-of-value projects before scaling. When you’re ready, start your Azure implementation by having experts build an Azure landing zone. Then, move workloads into Azure at scale following best practices for migrating or building new solutions.

The Cloud Accelerate Factory is a new benefit within Azure Accelerate and is designed to help you jumpstart your Azure projects with zero-cost deployment assistance from Microsoft experts. Through a joint delivery model with Azure partners, these experts can provide hands on deployment of over 30 Azure services using proven strategies developed across thousands of customer engagements. This benefit empowers customers to maximize their investments by offloading predictable technical tasks to our Factory team, enabling internal teams or partners to focus on the more custom and highly detailed elements of a project.

For those organizations who seek guidance and technical best practices, Azure Accelerate is backed by Azure Essentials, which brings together curated, solution-aligned guidance from proven methodologies and tools such as the Microsoft Cloud Adoption Framework, Azure Well-Architected Framework, reference architectures, and more in a single location.

Realizing business value with Azure offerings

Here are just a few examples of how organizations are turning ambition into action:

Modernizing for agility: Global financial leader UBS is using Azure to modernize its infrastructure, enhancing agility and resilience while laying the foundation for future innovation. This modernization has enabled UBS to respond more quickly to market and regulatory changes, while reducing operational complexity.

Unifying data for impact: Humanitarian nonprofit Médecins Sans Frontières UK centralized its data platform using Azure SQL, Dynamics 365, and Power BI. This has resulted in streamlined reporting, faster emergency response, and improved donor engagement—all powered by timely, self-service insights.

Scaling AI for global reach: Bayer Crop Science, in partnership with EY and Microsoft, built a generative AI assistant using Azure OpenAI and Azure AI Search. This natural language tool delivers real-time agronomy insights to farmers worldwide, helping unlock food productivity and accessibility at scale.

Enhancing insights with AI: OneDigital partnered with Microsoft and Data Science Dojo through Azure Innovate to co-develop custom AI agents using Azure OpenAI and Ejento AI. This solution streamlined research, saving 1,000 person-hours annually, and enabled consultants to deliver faster, more personalized client insights, improving retention through high-impact interactions.

Get started with Azure Accelerate

Azure Accelerate is designed to fuel your cloud and AI transformation. It’s how you move faster, innovate smarter, and lead in a cloud-first, AI-powered world.

We’re excited to partner with you on this journey and can’t wait to see what you’ll build next with Azure. To get started, visit Azure Accelerate to learn more or connect with your Microsoft account team or a specialized Azure partner to plan your next steps.
The post Introducing Azure Accelerate: Fueling transformation with experts and investments across your cloud and AI journey appeared first on Microsoft Azure Blog.
Quelle: Azure

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Introducing Deep Research in Azure AI Foundry Agent Service

Unlock enterprise-scale web research automation

Today we’re excited to announce the public preview of Deep Research in Azure AI Foundry—an API and software development kit (SDK)-based offering of OpenAI’s advanced agentic research capability, fully integrated with Azure’s enterprise-grade agentic platform.

With Deep Research, developers can build agents that deeply plan, analyze, and synthesize information from across the web—automate complex research tasks, generate transparent, auditable outputs, and seamlessly compose multi-step workflows with other tools and agents in Azure AI Foundry.

Create with Azure AI Foundry

AI agents and knowledge work: Meeting the next frontier of research automation

Generative AI and large language models have made research and analysis faster than ever, powering solutions like ChatGPT Deep Research and Researcher in Microsoft 365 Copilot for individuals and teams. These tools are transforming everyday productivity and document workflows for millions of users.

As organizations look to take the next step—integrating deep research directly into their business apps, automating multi-step processes, and governing knowledge at enterprise scale—the need for programmable, composable, and auditable research automation becomes clear.

This is where Azure AI Foundry and Deep Research come in: offering the flexibility to embed, extend, and orchestrate world-class research as a service across your entire enterprise ecosystem—and connect it with your data and your systems.

Deep Research capabilities in Azure AI Foundry Agent Service

Deep Research in Foundry Agent Service is built for developers who want to move beyond the chat window. By offering Deep Research as a composable agent tool via API and SDK, Azure AI Foundry enables customers to:

Automate web-scale research using a best-in-class research model grounded with Bing Search, with every insight traceable and source-backed.

Programmatically build agents that can be invoked by apps, workflows, or other agents—turning deep research into a reusable, production-ready service.

Orchestrate complex workflows: Compose Deep Research agents with Logic Apps, Azure Functions, and other Foundry Agent Service connectors to automate reporting, notifications, and more.

Ensure enterprise governance: With Azure AI Foundry’s security, compliance, and observability, customers get full control and transparency over how research is run and used.

Unlike packaged chat assistants, Deep Research in Foundry Agent Service can evolve with your needs—ready for automation, extensibility, and integration with future internal data sources as we expand support.

How it works: Architecture and agent flow

Deep Research in Foundry Agent Service is architected for flexibility, transparency, and composability—so you can automate research that’s as robust as your business demands.

At its core, the Deep Research model, o3-deep-research, orchestrates a multi-step research pipeline that’s tightly integrated with Grounding with Bing Search and leverages the latest OpenAI models:

Clarifying intent and scoping the task:When a user or downstream app submits a research query, the agent uses GPT-series models including GPT-4o and GPT-4.1 to clarify the question, gather additional context if needed, and precisely scope the research task. This ensures the agent’s output is both relevant and actionable, and that every search is optimized for your business scenario.

Web grounding with Bing Search:Once the task is scoped, the agent securely invokes the Grounding with Bing Search tool to gather a curated set of high-quality, recent web data. This ensures the research model is working from a foundation of authoritative, up-to-date sources—no hallucinations from stale or irrelevant content.

Deep Research task execution:The o3-deep-research model starts the research task execution. This involves thinking, analyzing, and synthesizing information across all discovered sources. Unlike simple summarization, it reasons step-by-step, pivots as it encounters new insights, and composes a comprehensive answer that’s sensitive to nuance, ambiguity, and emerging patterns in the data.

Transparency, safety, and compliance:The final output is a structured report that documents not only the answer, but also the model’s reasoning path, source citations, and any clarifications requested during the session. This makes every answer fully auditable—a must-have for regulated industries and high-stakes use cases.

Programmatic integration and composition:By exposing Deep Research as an API, Azure AI Foundry empowers you to invoke research from anywhere—custom business apps, internal portals, workflow automation tools, or as part of a larger agent ecosystem. For example, you can trigger a research agent as part of a multi-agent chain: one agent performs deep web analysis, another generates a slide deck with Azure Functions, while a third emails the result to decision makers with Azure Logic Apps. This composability is the real game-changer: research is no longer a manual, one-off task, but a building block for digital transformation and continuous intelligence.

This flexible architecture means Deep Research can be seamlessly embedded into a wide range of enterprise workflows and applications. Already, organizations across industries are evaluating how these programmable research agents can streamline high-value scenarios—from market analysis and competitive intelligence, to large-scale analytics and regulatory reporting.

Pricing for Deep Research (model: o3-deep-research) is as follows: 

Input: $10.00 per 1M tokens.

Cached Input: $2.50 per 1M tokens.

Output: $40.00 per 1M tokens.

Search context tokens are charged input token prices for the model being used. You’ll separately incur charges for Grounding with Bing Search and the base GPT model being used for clarifying questions.  

Get started with Deep Research

Deep Research is available now in limited public preview for Azure AI Foundry Agent Service customers. To get started:

Sign up for the limited public preview to gain early access.

Visit our documentation to learn more about the feature.

Visit our learning modules to build your first agent with Azure AI Foundry Agent Service.

Start building your agents today in Azure AI Foundry.

We can’t wait to see the innovative solutions you’ll build. Stay tuned for customer stories, new features, and future enhancements that will continue to unlock the next generation of enterprise AI agents.

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Get enterprise AI without enterprise complexity.

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The post Introducing Deep Research in Azure AI Foundry Agent Service appeared first on Microsoft Azure Blog.
Quelle: Azure