{"id":28435,"date":"2026-06-12T21:16:54","date_gmt":"2026-06-12T12:16:54","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=28435"},"modified":"2026-06-12T21:16:55","modified_gmt":"2026-06-12T12:16:55","slug":"microsoft-construct-2026-constructing-agentic-apps-with-microsoft-material-and-microsoft-databases","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=28435","title":{"rendered":"Microsoft Construct 2026: Constructing agentic apps with Microsoft Material and Microsoft Databases"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<aside class=\"table-of-contents-block accordion wp-block-bloginabox-theme-table-of-contents\" id=\"accordion-2b5975cd-83ce-4a21-b2d8-c9a5d293790e\" data-bi-an=\"table-of-contents\">\n\t<button class=\"btn btn-collapse\" type=\"button\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-2b5975cd-83ce-4a21-b2d8-c9a5d293790e\"><br \/>\n\t\t<span class=\"table-of-contents-block__label\">On this article<\/span><br \/>\n\t\t<span class=\"table-of-contents-block__current\" aria-hidden=\"true\"\/><\/p>\n<p>\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"table-of-contents-block__arrow\" aria-label=\"Toggle arrow\" width=\"18\" height=\"11\" viewbox=\"0 0 18 11\" fill=\"none\">\n\t\t\t<path d=\"M15.7761 11L18 8.82043L9 0L0 8.82043L2.22394 11L9 4.35913L15.7761 11Z\" fill=\"currentColor\"\/>\n\t\t<\/svg><br \/>\n\t<\/button><\/p>\n<p>\t<span class=\"table-of-contents-block__progress-bar\"\/><br \/>\n<\/aside>\n<p class=\"wp-block-paragraph\">AI is driving a elementary shift in how work will get performed and the way functions are constructed. Because the <a href=\"https:\/\/aka.ms\/2026WorkTrendIndexAnnualReport\" target=\"_blank\" rel=\"noopener\">2026 Microsoft Work Pattern Index Report<\/a> highlights, a rising share of staff are shifting past asking inquiries to handing off complete duties and orchestrating multi-agent techniques.<\/p>\n<p class=\"wp-block-paragraph\">This shift introduces a brand new constraint. The problem is not mannequin functionality, however constant, shared knowledge context throughout the enterprise.<\/p>\n<p class=\"wp-block-paragraph\">Builders and enterprise customers know what they wish to automate, and at present\u2019s fashions can ship. The bottleneck is context. Each new agent begins from zero, relearning how the enterprise works, the place knowledge lives, and what guidelines to comply with. With out a constant basis, brokers can\u2019t coordinate or scale.<\/p>\n<p class=\"wp-block-paragraph\">That\u2019s the problem we&#8217;re fixing with <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\" target=\"_blank\" rel=\"noopener\">Microsoft Material<\/a>. It supplies a unified knowledge and AI platform that empowers you to carry collectively knowledge and transfer from remoted AI experiments to production-ready agent techniques, during which every new agent builds on shared organizational context. This imaginative and prescient is already driving sturdy momentum among the many thousands and thousands of builders constructing on Material and Microsoft Databases.<\/p>\n<p class=\"wp-block-paragraph\">At Microsoft Construct, we&#8217;re extending this basis with new capabilities that assist builders transfer from prototype to manufacturing quicker. These embody\u202fRayfin, a brand new software program growth package (SDK) and command-line interface (CLI) designed to make Material a production-ready software backend, and\u202fAzure\u202fHorizonDB, a brand new PostgreSQL database designed for\u202fAI\u2011powered\u202ffunctions, now in public preview.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-6a2c1bc638181\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" aria-label=\"item-6a2c1bc638181\"  type=\"checkbox\" id=\"item-6a2c1bc638181\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Introducing_Rayfin_From_immediate_to_manufacturing_backend\" title=\"Introducing Rayfin: From immediate to manufacturing backend\">Introducing Rayfin: From immediate to manufacturing backend<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Microsoft_Databases_designed_for_AI_functions\" title=\"Microsoft Databases, designed for AI functions\">Microsoft Databases, designed for AI functions<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Azure_HorizonDB_Enterprise-ready_PostgreSQL_constructed_for_the_calls_for_of_AI_functions\" title=\"Azure HorizonDB: Enterprise-ready PostgreSQL constructed for the calls for of AI functions\">Azure HorizonDB: Enterprise-ready PostgreSQL constructed for the calls for of AI functions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#New_safety_and_migration_tooling_for_Azure_Database_for_PostgreSQL\" title=\"New safety and migration tooling for Azure Database for PostgreSQL\">New safety and migration tooling for Azure Database for PostgreSQL<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Powering_clever_multi%E2%80%91agent_techniques_at_international_scale_with_Azure_Cosmos_DB\" title=\"Powering clever, multi\u2011agent techniques at international scale with Azure Cosmos DB\">Powering clever, multi\u2011agent techniques at international scale with Azure Cosmos DB<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Unifying_databases_and_Material_on_a_single_platform\" title=\"Unifying databases and Material on a single platform\">Unifying databases and Material on a single platform<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Constructing_an_AI%E2%80%91prepared_knowledge_basis_with_Microsoft_Material\" title=\"Constructing an AI\u2011prepared knowledge basis with Microsoft Material\">Constructing an AI\u2011prepared knowledge basis with Microsoft Material<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#1_Unifying_your_knowledge_property_with_Microsoft_OneLake\" title=\"1. Unifying your knowledge property with Microsoft OneLake\">1. Unifying your knowledge property with Microsoft OneLake<\/a><ul class='ez-toc-list-level-4'><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#The_overall_availability_of_the_OneLake_catalog_in_Microsoft_Foundry\" title=\"The overall availability of the OneLake catalog in Microsoft Foundry\">The overall availability of the OneLake catalog in Microsoft Foundry<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#2_Course_of_knowledge_quicker_with_a_brand_new_class_of_GPU-accelerated_analytics\" title=\"2. Course of knowledge quicker with a brand new class of GPU-accelerated analytics\">2. Course of knowledge quicker with a brand new class of GPU-accelerated analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#3_Curating_semantic_which_means_with_Material_IQ_now_typically_accessible\" title=\"3. Curating semantic which means with Material IQ, now typically accessible\">3. Curating semantic which means with Material IQ, now typically accessible<\/a><ul class='ez-toc-list-level-4'><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Asserting_the_final_availability_of_graph_and_planning_in_Material\" title=\"Asserting the final availability of graph and planning in Material\">Asserting the final availability of graph and planning in Material<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Extending_Material_IQ_to_Microsoft_Foundry_and_Agent_365\" title=\"Extending Material IQ to Microsoft Foundry and Agent 365\">Extending Material IQ to Microsoft Foundry and Agent 365<\/a><ul class='ez-toc-list-level-5'><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Microsoft_Foundry_and_Agent_365\" title=\"Microsoft Foundry and Agent 365\u00a0\">Microsoft Foundry and Agent 365\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Microsoft_365_Copilot_Cowork_and_Copilot_Chat\" title=\"Microsoft 365 Copilot: Cowork and Copilot Chat\u00a0\">Microsoft 365 Copilot: Cowork and Copilot Chat\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#GitHub_Copilot_CLI\" title=\"GitHub Copilot CLI\u00a0\">GitHub Copilot CLI\u00a0<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#4_Empowering_brokers_to_behave_with_operations_brokers_and_Copilot_in_Material\" title=\"4. Empowering brokers to behave with operations brokers and Copilot in Material\">4. Empowering brokers to behave with operations brokers and Copilot in Material<\/a><ul class='ez-toc-list-level-4'><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Asserting_the_final_availability_of_operations_brokers\" title=\"Asserting the final availability of operations brokers\">Asserting the final availability of operations brokers<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Apply_agentic_analytics_in_Energy_BI\" title=\"Apply agentic analytics in Energy BI\">Apply agentic analytics in Energy BI<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Watch_these_bulletins_from_Microsoft_Construct\" title=\"Watch these bulletins from Microsoft Construct\">Watch these bulletins from Microsoft Construct<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#On-demand_periods_accessible_now\" title=\"On-demand periods (accessible now)\">On-demand periods (accessible now)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/aireviewirush.com\/?p=28435\/#Discover_further_sources_for_Microsoft_Material\" title=\"Discover further sources for Microsoft Material\">Discover further sources for Microsoft Material<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"introducing-rayfin-from-prompt-to-production-backend\"><span class=\"ez-toc-section\" id=\"Introducing_Rayfin_From_immediate_to_manufacturing_backend\"><\/span>Introducing Rayfin: From immediate to manufacturing backend<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Coding brokers are accelerating app growth. Transferring these functions from prototype to manufacturing, nevertheless, stays a problem. Agent-created or not, each production-ready software nonetheless depends on a backend to handle knowledge, implement id and permissions, coordinate state, and function reliably over time. Present software-service platforms have been both not designed for brokers or don&#8217;t totally meet enterprise necessities for deployment, safety, and governance.<\/p>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/aka.ms\/rayfin\" target=\"_blank\" rel=\"noopener\">Rayfin<\/a>, a brand new open-source SDK and CLI, is designed to shut that hole. It lets builders and coding brokers describe what to construct and get an enterprise-grade software backend straight into the applying code, together with a database, authentication, and extra. Rayfin then deploys on to Microsoft Material, giving each software enterprise-grade safety and scale from day one. Builders and AI brokers can now transfer from immediate to manufacturing with out managing infrastructure.<\/p>\n<p class=\"wp-block-paragraph\">With Rayfin, builders work by means of acquainted GitHub\u2011based mostly workflows to outline knowledge fashions, backend logic, and entry insurance policies completely in code, giving groups and brokers a constant, programmable interface for constructing and managing functions. Watch Rayfin in motion:<\/p>\n<figure class=\"wp-block-bloginabox-theme-ump-embed wp-block-msx-ump-embed\">\n<\/figure>\n<p class=\"wp-block-paragraph\">As a result of Rayfin could be deployed straight on Material, software knowledge lands straight in OneLake, the place it&#8217;s instantly accessible to the total Material knowledge stack, unified with analytics, operational and real-time knowledge, and AI engines by default. This permits builders to construct their enterprise apps on trusted enterprise logic, combine with semantic fashions, and embed wealthy knowledge visuals.<\/p>\n<p class=\"wp-block-paragraph\">We\u2019re excited to accomplice with Replit, a number one AI coding platform, to assist prospects construct enterprise-grade apps within the interface they know and love whereas preserving app, knowledge, and providers managed in their very own Material tenant. <\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow has-quote-default-font-size\">\n<p class=\"has-large-font-size wp-block-paragraph\">Rayfin unlocks a brand new growth mannequin for our customers. Brokers write the code. Material ships it shortly and safely. Collectively, we\u2019re giving builders one thing they\u2019ve by no means had earlier than: a path from concept to enterprise-grade manufacturing that\u2019s measured in hours, not months. <\/p>\n<p class=\"has-medium-font-size wp-block-paragraph\">\u2014Amjad Masad, Chief Government Officer (CEO) of Replit<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">Be taught extra about Rayfin by watching the Microsoft Construct session \u201c<a href=\"https:\/\/aka.ms\/Build-BRK225\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/Build-BRK225\" target=\"_blank\" rel=\"noreferrer noopener\">BRK225 \u2013\u00a0Information, apps, and brokers: the way forward for app dev with Microsoft Material<\/a>\u201d on Wednesday, June 3, 2026, at 1:30 PM PT.<\/p>\n<h2 class=\"wp-block-heading\" id=\"microsoft-databases-designed-for-ai-applications\"><span class=\"ez-toc-section\" id=\"Microsoft_Databases_designed_for_AI_functions\"><\/span>Microsoft Databases, designed for AI functions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">For many years, databases have been the spine of enterprise functions. As functions grow to be extra clever and agent\u2011powered, we&#8217;re evolving Microsoft Databases into the inspiration optimized for actual\u2011time, AI\u2011prepared, and operationally wealthy experiences.<\/p>\n<h3 class=\"wp-block-heading\" id=\"azure-horizondb-enterprise-ready-postgresql-built-for-the-demands-of-ai-applications\"><span class=\"ez-toc-section\" id=\"Azure_HorizonDB_Enterprise-ready_PostgreSQL_constructed_for_the_calls_for_of_AI_functions\"><\/span>Azure HorizonDB: Enterprise-ready PostgreSQL constructed for the calls for of AI functions<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">As a number one PostgreSQL committer, Microsoft has lengthy invested within the PostgreSQL group. However as AI\u2011powered functions place new strains on scale, latency, and resilience, the demand for a brand new class of PostgreSQL database is obvious.<\/p>\n<p class=\"wp-block-paragraph\"><a href=\"http:\/\/aka.ms\/azurehorizondb\" target=\"_blank\" rel=\"noopener\">Azure HorizonDB<\/a> is that subsequent step. Now accessible in public preview, HorizonDB is a totally managed, PostgreSQL\u2011appropriate database that mixes PostgreSQL familiarity with cloud\u2011scale structure. It\u2019s zone resilient by default and delivers elastic storage that scales to 128 TB, huge scale\u2011out compute as much as 3,072 vCores, and may maintain sub\u2011millisecond, multi\u2011zone commit latency for demanding transactional eventualities.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow has-quote-default-font-size\">\n<p class=\"has-large-font-size wp-block-paragraph\">As our knowledge calls for have expanded exponentially due to our use of Azure AI to speak with our knowledge, HorizonDB has come on the excellent time to fulfill the efficiency, scale, and safety we have to shift into this new world of AI-enabled knowledge. <\/p>\n<p class=\"has-medium-font-size wp-block-paragraph\">\u2014Rand Morimoto, President of <a href=\"https:\/\/www.cco.com\/\" target=\"_blank\" rel=\"noopener\">Convergent Computing (CCO)<\/a><\/p>\n<\/blockquote>\n<figure class=\"wp-block-bloginabox-theme-ump-embed wp-block-msx-ump-embed\">\n<\/figure>\n<p class=\"wp-block-paragraph\">Past scalability, we\u2019ve additionally infused Azure HorizonDB with experiences designed particularly for AI functions like vector search, built-in AI mannequin administration, and direct connectivity to <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\" target=\"_blank\" rel=\"noopener\">Microsoft Foundry<\/a> and Material. These options present a contemporary basis for constructing, modernizing, and scaling AI\u2011powered functions with confidence. Mohsin Shafqat, Director of Software program Engineering at <a href=\"https:\/\/www.nasdaq.com\/\" target=\"_blank\" rel=\"noopener\">NASDAQ<\/a>, talked about, \u201cWhat stood out with HorizonDB is that it aligns intently with how we already take into consideration the issue. As an alternative of sewing collectively a number of elements, it brings transactional knowledge, vector search, and AI capabilities right into a single platform, which simplifies the structure with out forcing a whole rethink.\u201d<\/p>\n<p class=\"wp-block-paragraph\">Be taught extra by watching the Microsoft Construct session \u201c<a href=\"https:\/\/aka.ms\/Build-BRK223\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/Build-BRK223\" target=\"_blank\" rel=\"noreferrer noopener\">BRK223\u00a0\u2013 From rows to reasoning: Designing databases for AI apps and brokers<\/a>\u201d on Tuesday, June 2, 2026, at 2:30 PM PT.<\/p>\n<h3 class=\"wp-block-heading\" id=\"new-security-and-migration-tooling-for-azure-database-for-postgresql\"><span class=\"ez-toc-section\" id=\"New_safety_and_migration_tooling_for_Azure_Database_for_PostgreSQL\"><\/span>New safety and migration tooling for Azure Database for PostgreSQL<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">As Azure HorizonDB powers a brand new class of high-scale, mission\u2011vital functions constructed for AI, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/postgresql\/\" target=\"_blank\" rel=\"noopener\">Azure Database for PostgreSQL<\/a> stays a trusted, open\u2011supply basis for modernizing and working present PostgreSQL workloads.<\/p>\n<p class=\"wp-block-paragraph\">In the present day\u2019s updates introduce <a href=\"https:\/\/aka.ms\/build2026-postgres-releases\" target=\"_blank\" rel=\"noopener\">two significant enhancements<\/a>. First is the Microsoft Defender for Cloud integration, now in preview, which delivers steady safety and compliance assessments to assist groups establish misconfigurations and cut back threat. Second, we\u2019ve launched new discovery and evaluation tooling that can assist you extra confidently plan migrations to Azure Database for PostgreSQL. These instruments consider Oracle and PostgreSQL environments and supply readiness insights, sizing steering, and price estimates. Be taught extra about this migration tooling within the Microsoft Construct on-demand session \u201c<a href=\"https:\/\/aka.ms\/OD822\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD822\" target=\"_blank\" rel=\"noreferrer noopener\">OD822 \u2013 Smarter PostgreSQL migrations to energy trendy, clever apps<\/a>.\u201d<\/p>\n<h3 class=\"wp-block-heading\" id=\"powering-intelligent-multi-agent-systems-at-global-scale-with-azure-cosmos-db\"><span class=\"ez-toc-section\" id=\"Powering_clever_multi%E2%80%91agent_techniques_at_international_scale_with_Azure_Cosmos_DB\"><\/span>Powering clever, multi\u2011agent techniques at international scale with Azure Cosmos DB<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/cosmos-db\" target=\"_blank\" rel=\"noopener\">Azure Cosmos DB<\/a> is Microsoft\u2019s AI-ready NoSQL and vector database for constructing responsive functions and clever AI experiences at any scale. OpenAI, for instance, selected Azure Cosmos DB as its major operational database \u201cdue to its computerized scaling and schema-less flexibility, permitting us to iterate shortly,\u201d stated Nick Cooper, senior technical employees member at OpenAI.<\/p>\n<p class=\"wp-block-paragraph\">At Microsoft Construct, we&#8217;re targeted on enhancing developer productiveness and AI high quality. The Azure Cosmos DB Linux Emulator is now typically accessible, enabling builders to construct, check, and validate functions domestically throughout Linux, macOS, and Home windows with no cloud dependency. New AI capabilities are additionally now in preview, together with semantic reranking, which improves search relevance utilizing constructed\u2011in contextual understanding. As well as, a brand new agent reminiscence toolkit helps builders standardize persistent reminiscence for AI brokers utilizing Azure Cosmos DB, Azure Sturdy Capabilities, and Microsoft Foundry fashions. Be taught extra within the Microsoft Construct on\u2011demand session \u201c<a href=\"https:\/\/aka.ms\/OD820\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD820\" target=\"_blank\" rel=\"noreferrer noopener\">OD820 \u2013 Designing dependable multi-agent apps with Azure Cosmos DB<\/a>.\u201d<\/p>\n<h3 class=\"wp-block-heading\" id=\"unifying-databases-and-fabric-on-a-single-platform\"><span class=\"ez-toc-section\" id=\"Unifying_databases_and_Material_on_a_single_platform\"><\/span>Unifying databases and Material on a single platform<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Microsoft Databases could be centrally managed by means of the brand new <a href=\"https:\/\/community.fabric.microsoft.com\/t5\/Fabric-Updates-Blogs\/Advancing-Databases-for-the-Next-Generation-of-Applications\/ba-p\/5172237\" target=\"_blank\" rel=\"noopener\">Database Hub in Material<\/a>, at present in personal preview, and mirrored into OneLake, bringing operational and analytical knowledge onto a single basis. From there, you need to use Material to make it trusted, contextual, and prepared for AI.<\/p>\n<h2 class=\"wp-block-heading\" id=\"building-an-ai-ready-data-foundation-with-microsoft-fabric\"><span class=\"ez-toc-section\" id=\"Constructing_an_AI%E2%80%91prepared_knowledge_basis_with_Microsoft_Material\"><\/span>Constructing an AI\u2011prepared knowledge basis with Microsoft Material<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Within the period of AI, knowledge is the gasoline, however knowledge alone will not be sufficient. Equally vital is how that knowledge is known: the definitions of consumers, orders, merchandise, income, and the relationships between them. In the present day, that understanding is fragmented throughout buyer relationship administration (CRM) and enterprise useful resource planning (ERP) techniques, productiveness instruments, and spreadsheets, and too typically it doesn&#8217;t journey with the information. Organizations have lengthy relied on individuals to recreate this context. However as brokers tackle extra duty, this hole turns into vital. With out a shared understanding of the enterprise, brokers can&#8217;t reliably purpose, coordinate, or act.<\/p>\n<p class=\"wp-block-paragraph\">Microsoft IQ addresses this lacking layer by unifying enterprise intelligence right into a shared basis constructed to activate AI brokers. It permits constant reasoning and enterprise-scale impression, relatively than remoted interactions and and brings collectively 4 interconnected capabilities: <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-365\/blog\/2026\/06\/02\/announcing-the-new-work-iq-apis\/\" target=\"_blank\" rel=\"noopener\">Work IQ<\/a> captures how work occurs, Material IQ fashions how the enterprise operates, <a href=\"https:\/\/aka.ms\/BuildFoundryIQ\" target=\"_blank\" rel=\"noopener\">Foundry IQ<\/a> permits brokers to find and reuse information, and the brand new <a href=\"https:\/\/aka.ms\/Web-IQ-blog-Build26\" target=\"_blank\" rel=\"noopener\">Net IQ<\/a>, introduced at present at Microsoft Construct, provides real-time international context from the net.<\/p>\n<p class=\"wp-block-paragraph\">Material IQ is central to this technique. It powers a steady operational loop the place individuals and brokers observe stay alerts, purpose over shared context, and take ruled motion within the second throughout analytics, operations, and the productiveness instruments the place work occurs. It supplies three built-in layers of enterprise context:<\/p>\n<ol class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Unified knowledge: <\/strong>OneLake unifies the group\u2019s knowledge property, spanning analytical and operational knowledge right into a single, accessible layer.<\/li>\n<li class=\"wp-block-list-item\"><strong>Enterprise intelligence: <\/strong>Semantic fashions present structured, ruled representations of that knowledge which organizations already depend on for trusted enterprise metrics and analyze their enterprise.<\/li>\n<li class=\"wp-block-list-item\"><strong>Operational intelligence: <\/strong>Ontologies seize operational context by defining enterprise entities and their relationships so brokers can purpose within the language of the enterprise. This context can embody stay alerts from Material Actual-Time Intelligence, enabling organizations and their brokers to grasp what is going on proper now and act in time to alter outcomes.<\/li>\n<\/ol>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1280\" height=\"720\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/06\/GIFofFabricIQcontextlayers-ezgif.com-video-to-gif-converter.gif\" alt=\"Fabric IQ layered architecture showing Unified Data as the foundation, Business Intelligence (semantic models) above it, and Operational Intelligence (ontologies) on top.\" class=\"wp-image-51408\"\/><\/figure>\n<p class=\"wp-block-paragraph\">This three-tiered basis helps be certain that each agent begins with the identical understanding of the enterprise and may apply it accurately throughout workflows. However Frontier organizations can&#8217;t begin on the IQ layer. Constructing this functionality requires a unified knowledge basis. Microsoft Material delivers this by means of 4 core capabilities:<\/p>\n<ol start=\"1\" class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"#data-estate\">Unifying your knowledge property<\/a><\/li>\n<li class=\"wp-block-list-item\"><a href=\"#process-data-faster\">Processing and harmonizing knowledge<\/a><\/li>\n<li class=\"wp-block-list-item\"><a href=\"#curating-semantic-meaning\">Curating semantic which means<\/a> \u00a0<\/li>\n<li class=\"wp-block-list-item\"><a href=\"#empowering-agents\">Empowering AI brokers to behave<\/a><\/li>\n<\/ol>\n<p class=\"wp-block-paragraph\">Be taught extra about how Material may help you create an AI-ready knowledge basis within the Microsoft Construct on-demand session \u201c<a href=\"https:\/\/aka.ms\/OD811\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD811\" target=\"_blank\" rel=\"noreferrer noopener\">OD811 \u2013 Powering the following AI frontier with a unified knowledge platform<\/a>.\u201d<\/p>\n<h3 class=\"wp-block-heading\" id=\"data-estate\"><span class=\"ez-toc-section\" id=\"1_Unifying_your_knowledge_property_with_Microsoft_OneLake\"><\/span>1. Unifying your knowledge property with Microsoft OneLake<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Most organizations battle to see their complete knowledge property. It&#8217;s unfold throughout techniques, duplicated in a number of locations, and owned by totally different groups, making it troublesome to know what exists, the place it lives, and the way it connects. <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\/features\/onelake\" target=\"_blank\" rel=\"noopener\">Microsoft OneLake<\/a> brings it collectively right into a single, AI\u2011prepared knowledge lake that unifies your multi\u2011cloud property and permits group\u2011extensive entry for analytics and AI.<\/p>\n<p class=\"wp-block-paragraph\">We&#8217;re making it simpler to attach present knowledge to OneLake with out shifting or duplicating it with the discharge of <a href=\"https:\/\/learn.microsoft.com\/en-us\/fabric\/onelake\/shortcuts\/create-onedrive-sharepoint-shortcut\" target=\"_blank\" rel=\"noopener\">shortcuts to SharePoint and OneDrive<\/a> into normal availability and the power to create shortcuts straight from Material Information Warehouses, now in preview. We&#8217;re additionally including the preview of workspace-level Azure Personal Hyperlink help for mirrored knowledge sources.<\/p>\n<h4 class=\"wp-block-heading\" id=\"the-general-availability-of-the-onelake-catalog-in-microsoft-foundry\"><span class=\"ez-toc-section\" id=\"The_overall_availability_of_the_OneLake_catalog_in_Microsoft_Foundry\"><\/span>The overall availability of the OneLake catalog in Microsoft Foundry<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">On the identical time, we&#8217;re making it simpler to attach that knowledge to AI. With the <a href=\"https:\/\/community.fabric.microsoft.com\/t5\/Fabric-Updates-Blogs\/OneLake-catalog-is-now-natively-available-in-Foundry-Generally\/ba-p\/5178376\" target=\"_blank\" rel=\"noopener\">current normal availability of the OneLake catalog in Microsoft Foundry<\/a>, you possibly can uncover trusted knowledge, discover wealthy metadata, and join it on to AI options. The catalog is embedded inside Foundry\u2019s Information expertise, making it easy to maneuver from knowledge discovery to AI growth in a single workflow.<\/p>\n<figure class=\"wp-block-bloginabox-theme-ump-embed wp-block-msx-ump-embed\">\n<\/figure>\n<p class=\"wp-block-paragraph\">Be taught extra about all of those OneLake bulletins by watching the Microsoft Construct on-demand session \u201c<a href=\"https:\/\/aka.ms\/OD815\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD815\" target=\"_blank\" rel=\"noreferrer noopener\">OD815 \u2013\u00a0Unify your complete knowledge property on a single, AI-ready knowledge lake<\/a>.\u201d<\/p>\n<h3 class=\"wp-block-heading\" id=\"process-data-faster\"><span class=\"ez-toc-section\" id=\"2_Course_of_knowledge_quicker_with_a_brand_new_class_of_GPU-accelerated_analytics\"><\/span>2. Course of knowledge quicker with a brand new class of GPU-accelerated analytics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">As soon as knowledge is unified, the following problem is popping it into insights shortly, reliably, and at scale. We&#8217;re introducing GPU-acceleration constructed straight into Material Information Warehouse to unlock a brand new stage of efficiency with out including complexity.<\/p>\n<p class=\"wp-block-paragraph\">The analysis behind this innovation was not too long ago acknowledged by ACM SIGMOD because the \u201c<a href=\"https:\/\/aka.ms\/FDW-Paper\" target=\"_blank\" rel=\"noreferrer noopener\">Finest Business Paper of 2026<\/a>.\u201d This breakthrough establishes Material Information Warehouse as the primary totally managed knowledge warehouse to supply GPU acceleration.<\/p>\n<p class=\"wp-block-paragraph\">By integrating NVIDIA accelerated computing, question acceleration in Material Information Warehouse basically modifications how briskly queries can run. In inside benchmarking carried out in Could 2026, the GPU-accelerated Material Information Warehouse delivered as much as 7x quicker efficiency relative to a few comparable exterior distributors for reporting and software workloads at 64-user concurrency.<\/p>\n<p class=\"wp-block-paragraph\">This shift displays a broader change in how trendy knowledge techniques must function. As Ian Buck, Vice President of Hyperscale and HPC at NVIDIA, explains, \u201cAI functions are redefining how an information warehouse must carry out. As AI brokers purpose over enterprise knowledge, analytics techniques want low-latency efficiency for a lot of simultaneous customers. With NVIDIA accelerated computing and customized CUDA kernels constructed straight into Microsoft Material Information Warehouse, Microsoft is bringing the SQL workflows prospects already use into the manufacturing AI period.\u201d<\/p>\n<p class=\"wp-block-paragraph\">Clients are already seeing that impression. At UNC Well being, \u201cWe\u2019re seeing as much as 5x enchancment in our question speeds, which permits our groups to spend much less time managing efficiency and extra time delivering significant insights,\u201d stated Shaun McDonald, IT Supervisor.<\/p>\n<p class=\"wp-block-paragraph\">Question acceleration works robotically inside Material, dashing up queries with out requiring any question rewrites. The result&#8217;s constantly low\u2011latency analytics that energy responsive functions, interactive reporting, and agent\u2011pushed evaluation, delivering more energizing insights and better confidence in knowledge.<\/p>\n<figure class=\"wp-block-bloginabox-theme-ump-embed wp-block-msx-ump-embed\">\n<\/figure>\n<p class=\"wp-block-paragraph\">Question acceleration might be accessible for an early entry preview within the subsequent few weeks. You may be taught extra by watching the Microsoft Construct on-demand session \u201c<a href=\"https:\/\/aka.ms\/OD813\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD813\" target=\"_blank\" rel=\"noreferrer noopener\">OD813 \u2013\u00a0Powering trendy knowledge analytics in Material Information Warehouse<\/a>.\u201d<\/p>\n<h3 class=\"wp-block-heading\" id=\"curating-semantic-meaning\"><span class=\"ez-toc-section\" id=\"3_Curating_semantic_which_means_with_Material_IQ_now_typically_accessible\"><\/span>3. Curating semantic which means with Material IQ, now typically accessible<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">As soon as knowledge is ready, the following problem will not be entry however understanding. Most organizations lack a shared layer of enterprise context, forcing each agent to relearn how the enterprise works from fragmented knowledge. Material IQ, now typically accessible, addresses this hole.<\/p>\n<p class=\"wp-block-paragraph\">With knowledge unified in OneLake, Energy BI\u2019s industry-leading semantic fashions then present structured representations of your knowledge for trusted enterprise intelligence, serving as a really perfect basis for coaching brokers. <\/p>\n<p class=\"wp-block-paragraph\">Ontologies in Material IQ, anticipated to be typically accessible within the coming months, prolong semantic fashions by including operational context. They outline enterprise entities, relationships, properties, guidelines, and actions, and hook up with stay alerts from Material Actual-Time Intelligence. Operations brokers, now typically accessible, then purpose over shared stay context, make choices based mostly on coverage, and take motion within the second. Operating on the ruled basis of Material and built-in with Microsoft Foundry, operations brokers transfer past answering inquiries to driving motion and outcomes.<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/06\/OntologiesBuild2026MP4V3.gif\" alt=\"GIF of entities, relationships, properties, actions and business objectives all being created based on products, inventory, stores, shipments, buyers, and suppliers\" class=\"wp-image-51409\"\/><\/figure>\n<h4 class=\"wp-block-heading\" id=\"announcing-the-general-availability-of-graph-and-planning-in-fabric-1\"><span class=\"ez-toc-section\" id=\"Asserting_the_final_availability_of_graph_and_planning_in_Material\"><\/span>Asserting the final availability of graph and planning in Material<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">We\u2019re saying the final availability of graph in Material, with normal availability of the planning in Material coming later this month. Obtainable at present, graph introduces a extremely scalable, relationship\u2011first mannequin that connects enterprise entities, techniques, and alerts so groups and brokers can perceive how modifications propagate throughout the enterprise and act with full context. Planning extends this basis by enabling organizations to create plans, budgets, forecasts, and situation fashions on prime of Material\u2019s semantic fashions. Notably, planning in Material is not only static outputs. They are often written again into Material to drive execution, enabling closed-loop alignment with the identical system of information and context.<\/p>\n<h4 class=\"wp-block-heading\" id=\"extending-fabric-iq-to-microsoft-foundry-and-agent-365\"><span class=\"ez-toc-section\" id=\"Extending_Material_IQ_to_Microsoft_Foundry_and_Agent_365\"><\/span>Extending Material IQ to Microsoft Foundry and Agent 365<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">In the present day, we&#8217;re extending Material IQ throughout the agent ecosystem so this shared understanding can be utilized constantly throughout each agent and software. <\/p>\n<h5 class=\"wp-block-heading\" id=\"microsoft-foundry-and-agent-365\"><span class=\"ez-toc-section\" id=\"Microsoft_Foundry_and_Agent_365\"><\/span><strong>Microsoft Foundry and Agent 365\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p class=\"wp-block-paragraph\">Now in preview, Ontologies are accessible straight from Microsoft Foundry as information sources, bringing trusted enterprise context into each customized and built-in agent experiences. Additionally in preview, Material IQ is now built-in with Microsoft Agent 365 as a first-party mannequin context protocol (MCP) instrument, enabling organizations to floor brokers in shared which means and guarantee constant habits throughout their agent property.<\/p>\n<h5 class=\"wp-block-heading\" id=\"microsoft-foundry-and-agent-365\"><span class=\"ez-toc-section\" id=\"Microsoft_365_Copilot_Cowork_and_Copilot_Chat\"><\/span><strong><strong>Microsoft 365 Copilot: Cowork and Copilot Chat<\/strong>\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p class=\"wp-block-paragraph\">Material IQ can be extending into Microsoft 365 Copilot, together with Cowork and Copilot Chat. This permits brokers to entry ruled Material knowledge, beginning with Energy BI reviews and semantic fashions, to show insights into motion. As an alternative of static dashboards, brokers can detect modifications in key metrics, generate updates, set off follow-ups, and schedule subsequent steps, all grounded in trusted, ruled knowledge. The result&#8217;s quicker, extra constant execution throughout the group. These experiences are at present accessible prospects in Frontier with a Microsoft 365 Copilot license. <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-365-copilot\/frontier-individuals?msockid=053354d6877e66602b7b41a286ec67a0\" target=\"_blank\" rel=\"noopener\">Be a part of this system at present<\/a>.<\/p>\n<h5 class=\"wp-block-heading\" id=\"microsoft-foundry-and-agent-365\"><span class=\"ez-toc-section\" id=\"GitHub_Copilot_CLI\"><\/span><strong><strong><strong>GitHub Copilot CLI<\/strong>\u00a0<\/strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p class=\"wp-block-paragraph\">Utilizing <a href=\"https:\/\/github.com\/microsoft\/skills-for-fabric\" target=\"_blank\" rel=\"noreferrer noopener\">Agent Abilities for Material<\/a>, Material IQ instruments and abilities for knowledge insights are accessible by means of GitHub Copilot CLI, bringing ruled semantic context straight into the terminal. Now you too can question Energy BI reviews and semantic fashions from the command line, grounded in ruled semantic context in Material IQ. Groups can ask pure language questions on utilization, metrics, or buyer habits and get solutions grounded in Material knowledge straight inside their workflow, lowering back-and-forth and accelerating data-driven choices.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">Be taught extra about these enhancements within the Construct on\u2011demand session \u201c<a href=\"https:\/\/aka.ms\/OD812\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD812\" target=\"_blank\" rel=\"noreferrer noopener\">OD812 \u2013\u00a0Bringing Enterprise Ontology Immediately into the Developer Workflow<\/a>.\u201d<\/p>\n<h3 class=\"wp-block-heading\" id=\"empowering-agents\"><span class=\"ez-toc-section\" id=\"4_Empowering_brokers_to_behave_with_operations_brokers_and_Copilot_in_Material\"><\/span>4. Empowering brokers to behave with operations brokers and Copilot in Material<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Enterprises are more and more shifting to multi-agent techniques made up of specialised brokers grounded in particular knowledge or area experience. These brokers could be reused throughout a number of techniques, making it simpler to scale and ship extra constant outcomes.<\/p>\n<h4 class=\"wp-block-heading\" id=\"announcing-the-general-availability-of-operations-agents\"><span class=\"ez-toc-section\" id=\"Asserting_the_final_availability_of_operations_brokers\"><\/span>Asserting the final availability of operations brokers<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">Microsoft Material helps this shift with native agent capabilities, together with Material knowledge brokers and operations brokers. I\u2019m excited to share operations brokers are actually typically accessible. These brokers are designed to repeatedly monitor real-time knowledge, detect patterns or anomalies, and act based mostly on predefined enterprise logic.<\/p>\n<figure class=\"wp-block-bloginabox-theme-ump-embed wp-block-msx-ump-embed\">\n<\/figure>\n<h4 class=\"wp-block-heading\" id=\"apply-agentic-analytics-in-power-bi\"><span class=\"ez-toc-section\" id=\"Apply_agentic_analytics_in_Energy_BI\"><\/span>Apply agentic analytics in Energy BI<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">As well as, we not too long ago launched open-source <a href=\"https:\/\/github.com\/microsoft\/skills-for-fabric\" target=\"_blank\" rel=\"noopener\">Agent Abilities for Material<\/a>, designed to make it simpler for AI instruments and brokers to work together straight with Material. These capabilities now prolong to Energy BI, enabling builders and analysts to create reviews utilizing pure language or perhaps a screenshot of the specified end result, considerably accelerating how insights are constructed and shared.<\/p>\n<p class=\"wp-block-paragraph\">Copilot in Energy BI can now additionally modify semantic fashions, with built-in suggestions that enhance efficiency and make fashions extra AI-ready. This helps groups iterate quicker and ship insights extra shortly with out leaving the instruments they already use.<\/p>\n<p class=\"wp-block-paragraph\">Be taught extra by studying the\u00a0<a href=\"https:\/\/aka.ms\/PowerBI-Build26\" target=\"_blank\" rel=\"noreferrer noopener\">Energy BI weblog<\/a>\u00a0or by watching the Microsoft Construct on-demand session \u201c<a href=\"https:\/\/aka.ms\/OD817\" target=\"_blank\" rel=\"noopener\"><a href=\"https:\/\/aka.ms\/OD817\" target=\"_blank\" rel=\"noreferrer noopener\">OD817 \u2013\u00a0Agentic analytics with Energy BI and Microsoft Material<\/a>.\u201d<\/p>\n<h2 class=\"wp-block-heading\" id=\"watch-these-announcements-from-microsoft-build\"><span class=\"ez-toc-section\" id=\"Watch_these_bulletins_from_Microsoft_Construct\"><\/span>Watch these bulletins from Microsoft Construct<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">For those who\u2019re interested by studying extra and seeing stay demos on these bulletins, I encourage you to observe the Microsoft Database and Microsoft Material periods at Microsoft Construct, accessible within the Microsoft Construct catalog.<\/p>\n<p class=\"wp-block-paragraph\"><strong>Tuesday, June 2, 2026<\/strong><\/p>\n<p class=\"wp-block-paragraph\"><strong>Wednesday, June 3, 2026<\/strong><\/p>\n<h3 class=\"wp-block-heading\" id=\"on-demand-sessions-available-now\"><span class=\"ez-toc-section\" id=\"On-demand_periods_accessible_now\"><\/span>On-demand periods (accessible now)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Click on the hyperlinks beneath to observe instantly.<\/p>\n<p class=\"wp-block-paragraph\"><strong>Microsoft Databases <\/strong><strong\/><\/p>\n<p class=\"wp-block-paragraph\"><strong>Microsoft Material<\/strong><strong\/><\/p>\n<h2 class=\"wp-block-heading\" id=\"explore-additional-resources-for-microsoft-fabric\"><span class=\"ez-toc-section\" id=\"Discover_further_sources_for_Microsoft_Material\"><\/span>Discover further sources for Microsoft Material<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/div>\n<p><script>\n\t\tfunction facebookTracking() {\n\t\t\t\/\/ If GPC or AMC Signal is enabled, do not fire Facebook Pixel\n\t\t\tif ( navigator.globalPrivacyControl || document.cookie.includes('3PAdsOptOut=1') ) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t!function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n\t\t\t\tn.callMethod.apply(n,arguments):n.queue.push(arguments)};if(!f._fbq)f._fbq=n;\n\t\t\t\tn.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0;\n\t\t\t\tt.src=v;t.type=\"ms-delay-type\";t.setAttribute('data-ms-type','text\/javascript');\n\t\t\t\tt.crossOrigin='anonymous';\n\t\t\t\t\t\t\t\tt.integrity='sha384-2xT\/fSAV+d6NutyiJRBWGt9JNj9cVUzRe6usUQ59lzj1fMl7nCCZPAtptWI\/0aFA';\n\t\t\t\t\t\t\t\ts=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window,\n\t\t\t\tdocument,'script','https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n\t\t\tfbq('init', '1770559986549030');\n\t\t\t\t\t\tfbq('track', 'PageView');\n\t\t\t\t\t}\n\t<\/script><br \/>\n<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On this article AI is driving a elementary shift in how work will get performed and the way functions are constructed. Because the 2026 Microsoft Work Pattern Index Report highlights, a rising share of staff are shifting past asking inquiries to handing off complete duties and orchestrating multi-agent techniques. This shift introduces a brand new [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":28437,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-28435","post","type-post","status-publish","format-standard","has-post-thumbnail","category-cloud-computing"],"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/28435","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=28435"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/28435\/revisions"}],"predecessor-version":[{"id":28436,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/28435\/revisions\/28436"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/28437"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=28435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=28435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=28435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}