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 constraint. The problem is not mannequin functionality, however constant, shared knowledge context throughout the enterprise.
Builders and enterprise customers know what they wish to automate, and at present’s 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’t coordinate or scale.
That’s the problem we’re fixing with Microsoft Material. 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.
At Microsoft Construct, we’re extending this basis with new capabilities that assist builders transfer from prototype to manufacturing quicker. These embody Rayfin, a brand new software program growth package (SDK) and command-line interface (CLI) designed to make Material a production-ready software backend, and Azure HorizonDB, a brand new PostgreSQL database designed for AI‑powered functions, now in public preview.
Introducing Rayfin: From immediate to manufacturing backend
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’t totally meet enterprise necessities for deployment, safety, and governance.
Rayfin, 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.
With Rayfin, builders work by means of acquainted GitHub‑based 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:
As a result of Rayfin could be deployed straight on Material, software knowledge lands straight in OneLake, the place it’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.
We’re 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.
Rayfin unlocks a brand new growth mannequin for our customers. Brokers write the code. Material ships it shortly and safely. Collectively, we’re giving builders one thing they’ve by no means had earlier than: a path from concept to enterprise-grade manufacturing that’s measured in hours, not months.
—Amjad Masad, Chief Government Officer (CEO) of Replit
Be taught extra about Rayfin by watching the Microsoft Construct session “BRK225 – Information, apps, and brokers: the way forward for app dev with Microsoft Material” on Wednesday, June 3, 2026, at 1:30 PM PT.
Microsoft Databases, designed for AI functions
For many years, databases have been the spine of enterprise functions. As functions grow to be extra clever and agent‑powered, we’re evolving Microsoft Databases into the inspiration optimized for actual‑time, AI‑prepared, and operationally wealthy experiences.
Azure HorizonDB: Enterprise-ready PostgreSQL constructed for the calls for of AI functions
As a number one PostgreSQL committer, Microsoft has lengthy invested within the PostgreSQL group. However as AI‑powered functions place new strains on scale, latency, and resilience, the demand for a brand new class of PostgreSQL database is obvious.
Azure HorizonDB is that subsequent step. Now accessible in public preview, HorizonDB is a totally managed, PostgreSQL‑appropriate database that mixes PostgreSQL familiarity with cloud‑scale structure. It’s zone resilient by default and delivers elastic storage that scales to 128 TB, huge scale‑out compute as much as 3,072 vCores, and may maintain sub‑millisecond, multi‑zone commit latency for demanding transactional eventualities.
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.
—Rand Morimoto, President of Convergent Computing (CCO)
Past scalability, we’ve additionally infused Azure HorizonDB with experiences designed particularly for AI functions like vector search, built-in AI mannequin administration, and direct connectivity to Microsoft Foundry and Material. These options present a contemporary basis for constructing, modernizing, and scaling AI‑powered functions with confidence. Mohsin Shafqat, Director of Software program Engineering at NASDAQ, talked about, “What 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.”
Be taught extra by watching the Microsoft Construct session “BRK223 – From rows to reasoning: Designing databases for AI apps and brokers” on Tuesday, June 2, 2026, at 2:30 PM PT.
New safety and migration tooling for Azure Database for PostgreSQL
As Azure HorizonDB powers a brand new class of high-scale, mission‑vital functions constructed for AI, Azure Database for PostgreSQL stays a trusted, open‑supply basis for modernizing and working present PostgreSQL workloads.
In the present day’s updates introduce two significant enhancements. 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’ve 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 “OD822 – Smarter PostgreSQL migrations to energy trendy, clever apps.”
Powering clever, multi‑agent techniques at international scale with Azure Cosmos DB
Azure Cosmos DB is Microsoft’s 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 “due to its computerized scaling and schema-less flexibility, permitting us to iterate shortly,” stated Nick Cooper, senior technical employees member at OpenAI.
At Microsoft Construct, we’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‑in 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‑demand session “OD820 – Designing dependable multi-agent apps with Azure Cosmos DB.”
Unifying databases and Material on a single platform
Microsoft Databases could be centrally managed by means of the brand new Database Hub in Material, 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.
Constructing an AI‑prepared knowledge basis with Microsoft Material
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’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’t reliably purpose, coordinate, or act.
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: Work IQ captures how work occurs, Material IQ fashions how the enterprise operates, Foundry IQ permits brokers to find and reuse information, and the brand new Net IQ, introduced at present at Microsoft Construct, provides real-time international context from the net.
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:
- Unified knowledge: OneLake unifies the group’s knowledge property, spanning analytical and operational knowledge right into a single, accessible layer.
- Enterprise intelligence: Semantic fashions present structured, ruled representations of that knowledge which organizations already depend on for trusted enterprise metrics and analyze their enterprise.
- Operational intelligence: 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.
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’t begin on the IQ layer. Constructing this functionality requires a unified knowledge basis. Microsoft Material delivers this by means of 4 core capabilities:
- Unifying your knowledge property
- Processing and harmonizing knowledge
- Curating semantic which means
- Empowering AI brokers to behave
Be taught extra about how Material may help you create an AI-ready knowledge basis within the Microsoft Construct on-demand session “OD811 – Powering the following AI frontier with a unified knowledge platform.”
1. Unifying your knowledge property with Microsoft OneLake
Most organizations battle to see their complete knowledge property. It’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. Microsoft OneLake brings it collectively right into a single, AI‑prepared knowledge lake that unifies your multi‑cloud property and permits group‑extensive entry for analytics and AI.
We’re making it simpler to attach present knowledge to OneLake with out shifting or duplicating it with the discharge of shortcuts to SharePoint and OneDrive into normal availability and the power to create shortcuts straight from Material Information Warehouses, now in preview. We’re additionally including the preview of workspace-level Azure Personal Hyperlink help for mirrored knowledge sources.
The overall availability of the OneLake catalog in Microsoft Foundry
On the identical time, we’re making it simpler to attach that knowledge to AI. With the current normal availability of the OneLake catalog in Microsoft Foundry, you possibly can uncover trusted knowledge, discover wealthy metadata, and join it on to AI options. The catalog is embedded inside Foundry’s Information expertise, making it easy to maneuver from knowledge discovery to AI growth in a single workflow.
Be taught extra about all of those OneLake bulletins by watching the Microsoft Construct on-demand session “OD815 – Unify your complete knowledge property on a single, AI-ready knowledge lake.”
2. Course of knowledge quicker with a brand new class of GPU-accelerated analytics
As soon as knowledge is unified, the following problem is popping it into insights shortly, reliably, and at scale. We’re introducing GPU-acceleration constructed straight into Material Information Warehouse to unlock a brand new stage of efficiency with out including complexity.
The analysis behind this innovation was not too long ago acknowledged by ACM SIGMOD because the “Finest Business Paper of 2026.” This breakthrough establishes Material Information Warehouse as the primary totally managed knowledge warehouse to supply GPU acceleration.
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.
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, “AI 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.”
Clients are already seeing that impression. At UNC Well being, “We’re 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,” stated Shaun McDonald, IT Supervisor.
Question acceleration works robotically inside Material, dashing up queries with out requiring any question rewrites. The result’s constantly low‑latency analytics that energy responsive functions, interactive reporting, and agent‑pushed evaluation, delivering more energizing insights and better confidence in knowledge.
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 “OD813 – Powering trendy knowledge analytics in Material Information Warehouse.”
3. Curating semantic which means with Material IQ, now typically accessible
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.
With knowledge unified in OneLake, Energy BI’s industry-leading semantic fashions then present structured representations of your knowledge for trusted enterprise intelligence, serving as a really perfect basis for coaching brokers.
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.
Asserting the final availability of graph and planning in Material
We’re 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‑first 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’s 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.
Extending Material IQ to Microsoft Foundry and Agent 365
In the present day, we’re extending Material IQ throughout the agent ecosystem so this shared understanding can be utilized constantly throughout each agent and software.
Microsoft Foundry and Agent 365
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.
Microsoft 365 Copilot: Cowork and Copilot Chat
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’s quicker, extra constant execution throughout the group. These experiences are at present accessible prospects in Frontier with a Microsoft 365 Copilot license. Be a part of this system at present.
GitHub Copilot CLI
Utilizing Agent Abilities for Material, 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.
Be taught extra about these enhancements within the Construct on‑demand session “OD812 – Bringing Enterprise Ontology Immediately into the Developer Workflow.”
4. Empowering brokers to behave with operations brokers and Copilot in Material
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.
Asserting the final availability of operations brokers
Microsoft Material helps this shift with native agent capabilities, together with Material knowledge brokers and operations brokers. I’m 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.
Apply agentic analytics in Energy BI
As well as, we not too long ago launched open-source Agent Abilities for Material, 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.
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.
Be taught extra by studying the Energy BI weblog or by watching the Microsoft Construct on-demand session “OD817 – Agentic analytics with Energy BI and Microsoft Material.”
Watch these bulletins from Microsoft Construct
For those who’re 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.
Tuesday, June 2, 2026
Wednesday, June 3, 2026
On-demand periods (accessible now)
Click on the hyperlinks beneath to observe instantly.
Microsoft Databases
Microsoft Material
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