Microsoft素晴らしい！
Today, more than 60,000 organizations turn to Microsoft Azure AI to accelerate their business results and empower their teams. While large language models have provided remarkable productivity gains, many organizations still encounter significant challenges when dealing with complex, manual, and time-consuming workflows with minimal process automation.
\nAI agents have proven to be a great fit to automate such workflows. However, deploying reliable AI agents in real-world environments has proven to be difficult as current frameworks lack secure, integrated tools to trigger actions and enable secure data grounding, and organizations continue to face issues with data privacy, challenges with monitoring agent cost and performance quality, poor interoperability, and scalability struggles.
To fully realize the potential of autonomous AI agents, organizations need flexible, secure platforms for agent creation, deployment and monitoring.
Inspired by our customers' needs and the promise of autonomous AI agents, today at Ignite 2024, we are announcing the upcoming public preview of Azure AI Agent Service, a set of feature-rich, managed capabilities that brings together all the models, data, tools, and services that enterprises need to automate business processes of any complexity.
\nAzure AI Agent Service integrates the latest models, tools and technology from Microsoft, OpenAI and industry-leading partners such as Meta, Mistral and Cohere; seamlessly extends your agents with knowledge from Bing, SharePoint, Fabric, Azure AI Search, Azure Blob and licensed data, and enable taking actions across Microsoft and Third-Party applications with Azure Logic Apps, Azure Functions, OpenAPI 3.0 specified tools and Code Interpreter; an intuitive agent building experience through Azure AI Foundry ; and rich enterprise-ready features including the ability to bring your own (BYO) storage, BYO-virtual private network, on-behalf-of authentication, and enhanced agent observability through OpenTelemetry based evaluation.
Watch a quick overview:
Azure AI Agent Service is flexible and use-case agnostic. This represents endless possibilities to automate routine tasks and unlock new possibilities for knowledge work - whether it is personal productivity agents that send emails and schedule meetings, research agents that continuously monitor market trends and automate report creation, sales agents that can research leads and automatically qualify leads, customer service agents that proactively follow-up with personalized messages, or developer agents that can upgrade your code base or evolve a code repository interactively.
\nCustomers are already building agents with this new offering to automate exciting use cases and unlock new business value. Here's what our preview customers are saying:
\n\n\n \"Azure AI Agent Service gives us a robust set of tools that accelerate our enterprise-wide generative AI journey. They help us quickly deploy impactful agents that provide scalable actions for Q&A, analysis, and tasks. By leveraging the service, we’re able to shift our engineering time away from custom development and support the differentiators that matter to us.” - Ethan Sena, Executive Director, AI & Cloud Engineering and Enablement, Bristol Myers Squibb
\n
\n
\n\n \"Core42 plans to integrate Azure AI Agent Service APIs into Compass, its managed AI platform, enabling customers to make AI more actionable across their enterprise use cases through plug-and-play integration with various data sources and enterprise applications.\" – Raghu Chakravarthi, EVP, Engineering & GM US, Core42
\n
In our experience talking to hundreds of organizations, we have learned that developing secure, reliable agents rapidly requires four primary ingredients:
\nLeveraging the intuitive interface and comprehensive toolset in Azure AI Foundry SDK and portal, Azure AI Agent Service provides these ingredients for end-to-end agent development through a unified product surface.
\nNow let’s take a closer look at Azure AI Agent Service capabilities.
\nBuilding on the powerful yet flexible Assistants API, Azure AI Agent Service has built-in memory management and a sophisticated interface to seamlessly integrate with popular compute platforms, bridging LLM capabilities with general purpose, programmatic actions.
\nEasily configure a rich ecosystem of enterprise knowledge sources to enable agent to access and process data from multiple sources, improving accuracy of responses to user queries. Designed to work seamlessly with your data, these data connectors operate within your network parameter. These built-in data sources include:
\n\n\n“We’re excited to partner with Microsoft as the first data and intelligence provider for its Azure AI Agent Service,\" said Rahul Todkar, Vice President, Head of Data and AI at Tripadvisor. “At Tripadvisor, we are focused on leveraging the power of Data and Generative AI to benefit all travelers and partners across the globe. This partnership makes it simpler than ever for broader businesses and developers to seamlessly connect with Tripadvisor’s proprietary data in a compliant, privacy preserving way. Azure customers now can create advanced AI Agents powered by Tripadvisor's unique travel data and insights, unlocking new value and opportunities.”
\n
Developers have loved building AI assistants with the latest OpenAI's GPT models in Azure OpenAI Service Assistants API. Now, we are expanding model selection to include state-of-the-art models from industry-leading model providers so you can build task-specific agents, optimize your total cost of ownership, and more.
\nBusiness leaders are eager to build and innovate with AI-powered agents. Yet, enterprise customers fear their critical enterprise data getting into the wrong hands, customer satisfaction impacted by slow agent response time, and inability to quickly diagnose what has gone wrong to ensure reliably performing agents. Azure AI Agent Service packages necessary enterprise features to help organizations protect their sensitive data while meeting their regulatory requirements.
\nOrchestrate performant multi-agent systems with Azure AI Agent Service
\nCustomers have been experimenting with multi-agent systems as a strategy for achieving performant autonomous workflows. In multi-agent systems, multiple context-aware autonomous agents, whether human or AI, interact or work together to achieve individual or collective goals.
\nAzure AI Agent Service works out-of-the-box with multi-agent orchestration frameworks that are wireline compatible with the Assistants API, such as AutoGen, a state-of-the-art research SDK for Python created by Microsoft Research, and Semantic Kernel, an enterprise AI SDK for Python, .NET, and Java.
\nWhen building a new multi-agent solution, start with building singleton agents with Azure AI Agent Service to get the most reliable, scalable, and secure agents. You can then orchestrate these agents together AutoGen is constantly evolving to find the best collaboration patterns for agents (and humans) to work together. Features that show production value with AutoGen can then be moved into Semantic Kernel if you're looking for production support and non-breaking changes.
\nWe can't wait to see what you build with Azure AI Agent Service!
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\nDiscover how Azure AI Agent Service is revolutionizing the development and deployment of AI agents. This service empowers developers to build, deploy, and scale high-quality AI agents tailored to business needs within hours. With features like rapid development, extensive data connections, flexible model selection, and enterprise-grade security, Azure AI Agent Service sets a new standard in AI automation
","introduction":"Azure announces managed capabilities to empower developers to build secure, stateful autonomous AI agents that automate every business process","coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00Mjk4MzU3LXRxT1BUSA?revision=84","width":1280,"height":720},"coverImageProperties":{"__typename":"CoverImageProperties","style":"WIDE","titlePosition":"BOTTOM","altText":""},"currentRevision":{"__ref":"Revision:revision:4298357_84"},"latestVersion":{"__typename":"FriendlyVersion","major":"39","minor":"0"},"metrics":{"__typename":"MessageMetrics","views":74326},"visibilityScope":"PUBLIC","canonicalUrl":"","seoTitle":"Azure AI Agent Service: Revolutionizing AI Agent Development and Deployment","seoDescription":"Discover how Azure AI Agent Service is transforming AI agent development and deployment at Ignite 2024. Learn about its rapid development capabilities, extensive data connections, flexible model selection, and enterprise-grade security. Empower your business with high-quality, scalable AI agents tailored to your needs.","placeholder":false,"originalMessageForPlaceholder":null,"contributors":{"__typename":"UserConnection","edges":[]},"nonCoAuthorContributors":{"__typename":"UserConnection","edges":[]},"coAuthors":{"__typename":"UserConnection","edges":[]},"blogMessagePolicies":{"__typename":"BlogMessagePolicies","canDoAuthoringActionsOnBlog":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","key":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","args":[]}}},"archivalData":null,"customFields":[],"body":"Today, more than 60,000 organizations turn to Microsoft Azure AI to accelerate their business results and empower their teams. While large language models have provided remarkable productivity gains, many organizations still encounter significant challenges when dealing with complex, manual, and time-consuming workflows with minimal process automation.
\nAI agents have proven to be a great fit to automate such workflows. However, deploying reliable AI agents in real-world environments has proven to be difficult as current frameworks lack secure, integrated tools to trigger actions and enable secure data grounding, and organizations continue to face issues with data privacy, challenges with monitoring agent cost and performance quality, poor interoperability, and scalability struggles.
To fully realize the potential of autonomous AI agents, organizations need flexible, secure platforms for agent creation, deployment and monitoring.
Inspired by our customers' needs and the promise of autonomous AI agents, today at Ignite 2024, we are announcing the upcoming public preview of Azure AI Agent Service, a set of feature-rich, managed capabilities that brings together all the models, data, tools, and services that enterprises need to automate business processes of any complexity.
\nAzure AI Agent Service integrates the latest models, tools and technology from Microsoft, OpenAI and industry-leading partners such as Meta, Mistral and Cohere; seamlessly extends your agents with knowledge from Bing, SharePoint, Fabric, Azure AI Search, Azure Blob and licensed data, and enable taking actions across Microsoft and Third-Party applications with Azure Logic Apps, Azure Functions, OpenAPI 3.0 specified tools and Code Interpreter; an intuitive agent building experience through Azure AI Foundry ; and rich enterprise-ready features including the ability to bring your own (BYO) storage, BYO-virtual private network, on-behalf-of authentication, and enhanced agent observability through OpenTelemetry based evaluation.
Watch a quick overview:
Azure AI Agent Service is flexible and use-case agnostic. This represents endless possibilities to automate routine tasks and unlock new possibilities for knowledge work - whether it is personal productivity agents that send emails and schedule meetings, research agents that continuously monitor market trends and automate report creation, sales agents that can research leads and automatically qualify leads, customer service agents that proactively follow-up with personalized messages, or developer agents that can upgrade your code base or evolve a code repository interactively.
\nCustomers are already building agents with this new offering to automate exciting use cases and unlock new business value. Here's what our preview customers are saying:
\n\n\n\"Azure AI Agent Service gives us a robust set of tools that accelerate our enterprise-wide generative AI journey. They help us quickly deploy impactful agents that provide scalable actions for Q&A, analysis, and tasks. By leveraging the service, we’re able to shift our engineering time away from custom development and support the differentiators that matter to us.” - Ethan Sena, Executive Director, AI & Cloud Engineering and Enablement, Bristol Myers Squibb
\n
\n
\n\n\"Core42 plans to integrate Azure AI Agent Service APIs into Compass, its managed AI platform, enabling customers to make AI more actionable across their enterprise use cases through plug-and-play integration with various data sources and enterprise applications.\" – Raghu Chakravarthi, EVP, Engineering & GM US, Core42
\n
In our experience talking to hundreds of organizations, we have learned that developing secure, reliable agents rapidly requires four primary ingredients:
\nLeveraging the intuitive interface and comprehensive toolset in Azure AI Foundry SDK and portal, Azure AI Agent Service provides these ingredients for end-to-end agent development through a unified product surface.
\n\nNow let’s take a closer look at Azure AI Agent Service capabilities.
\nBuilding on the powerful yet flexible Assistants API, Azure AI Agent Service has built-in memory management and a sophisticated interface to seamlessly integrate with popular compute platforms, bridging LLM capabilities with general purpose, programmatic actions.
\nEasily configure a rich ecosystem of enterprise knowledge sources to enable agent to access and process data from multiple sources, improving accuracy of responses to user queries. Designed to work seamlessly with your data, these data connectors operate within your network parameter. These built-in data sources include:
\n\n\n“We’re excited to partner with Microsoft as the first data and intelligence provider for its Azure AI Agent Service,\" said Rahul Todkar, Vice President, Head of Data and AI at Tripadvisor. “At Tripadvisor, we are focused on leveraging the power of Data and Generative AI to benefit all travelers and partners across the globe. This partnership makes it simpler than ever for broader businesses and developers to seamlessly connect with Tripadvisor’s proprietary data in a compliant, privacy preserving way. Azure customers now can create advanced AI Agents powered by Tripadvisor's unique travel data and insights, unlocking new value and opportunities.”
\n
Developers have loved building AI assistants with the latest OpenAI's GPT models in Azure OpenAI Service Assistants API. Now, we are expanding model selection to include state-of-the-art models from industry-leading model providers so you can build task-specific agents, optimize your total cost of ownership, and more.
\nBusiness leaders are eager to build and innovate with AI-powered agents. Yet, enterprise customers fear their critical enterprise data getting into the wrong hands, customer satisfaction impacted by slow agent response time, and inability to quickly diagnose what has gone wrong to ensure reliably performing agents. Azure AI Agent Service packages necessary enterprise features to help organizations protect their sensitive data while meeting their regulatory requirements.
\nOrchestrate performant multi-agent systems with Azure AI Agent Service
\nCustomers have been experimenting with multi-agent systems as a strategy for achieving performant autonomous workflows. In multi-agent systems, multiple context-aware autonomous agents, whether human or AI, interact or work together to achieve individual or collective goals.
\nAzure AI Agent Service works out-of-the-box with multi-agent orchestration frameworks that are wireline compatible with the Assistants API, such as AutoGen, a state-of-the-art research SDK for Python created by Microsoft Research, and Semantic Kernel, an enterprise AI SDK for Python, .NET, and Java.
\nWhen building a new multi-agent solution, start with building singleton agents with Azure AI Agent Service to get the most reliable, scalable, and secure agents. You can then orchestrate these agents together AutoGen is constantly evolving to find the best collaboration patterns for agents (and humans) to work together. Features that show production value with AutoGen can then be moved into Semantic Kernel if you're looking for production support and non-breaking changes.
\n\nWe can't wait to see what you build with Azure AI Agent Service!
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","body@stringLength":"13","rawBody":"素晴らしい！
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