Bringing Azure Applications Closer to Oracle AI Database@Azure with Proximity Placement Groups
Azure proximity placement group (PPG) integration is now generally available for Exadata Database Service on Dedicated Infrastructure in Oracle AI Database@Azure. New PPG-enabled deployments can place supported Azure application virtual machines (VMs) close to Oracle-managed Exadata infrastructure through an integrated Azure portal flow. Bringing Azure compute and Oracle databases into close proximity gives interactive transaction processing, real-time analytics, and batch and extract, transform and load (ETL) pipelines processing millions of transactions a stronger performance foundation. Repeated or response-dependent application-to-database exchanges can make network latency important: even microsecond-scale improvements can help shorten completion times, depending on the workload’s communication patterns and other bottlenecks. Design for closer connections Azure Compute placement, Azure Advanced Networking and Oracle Exadata placement work as one connected flow. Oracle infrastructure anchors placement first; application VMs follow. This database-first design anchors application VMs to the Exadata infrastructure. That places them physically closer than sharing a region or availability zone would, instead of relocating Exadata to VMs you've already deployed. Promising network results Oracle internal testing across multiple regional configurations recorded median regional reductions of 54% in average network round-trip time (RTT) and 52% in p50 RTT compared with non-PPG-aligned deployments.[1] These measurements cover the VM-to-Exadata network path, not application response times, throughput or job runtimes. They support evaluating proximity, not predicting the same improvement for every workload. Build proximity in from the start Start by confirming Azure and Oracle onboarding, Oracle service limits, Azure Advanced Networking and permissions, with an active Resource Anchor and a new virtual network and delegated subnet ready. Create a new, empty Azure PPG, then associate it with a new Network Anchor. Select the same PPG for the new Exadata infrastructure and create its Exadata VM cluster with the matching Network Anchor. Deploy supported Azure application VMs into that PPG and a compatible availability zone, enabling Accelerated Networking where supported. Verify the resource associations before testing. Keep capacity and resilience in view PPGs constrain placement; they do not reserve Azure VM capacity. A preferred VM size may be unavailable at the anchored location, even when it is offered elsewhere in the zone, so plan supported sizing alternatives. Oracle service limits and Azure capacity are distinct checks. A PPG cannot be added retroactively to an existing Network Anchor. For existing Exadata infrastructure, contact Oracle Support about available options. A single PPG is not a multi-zone resilience strategy: retain your application and database high-availability and disaster-recovery designs. Evaluate a representative workload and measure what matters: application response time or end-to-end job completion, alongside network latency. Use the documentation below to plan a new deployment and assess the benefit for your environment. [1] Internal measurements across a few Azure regional configurations. Actual performance may vary with physical placement, topology, configuration, workload, and network conditions. These observations are not an SLA or guarantee. Learn more Use Azure proximity placement groups with Oracle AI Database@Azure — Microsoft Learn Create a Network Anchor — Oracle documentation Create Exadata infrastructure — Oracle documentation Create an Exadata VM cluster — Oracle documentation
Meet Microsoft at Oracle AI World 2026
Where your Oracle data meets Microsoft AI Most enterprise AI runs into the same wall: the data lives in Oracle, and the AI lives somewhere else. Oracle AI Database@Azure closes that gap, running Oracle data alongside Microsoft’s trusted AI platform. Microsoft is a sponsor at Oracle AI World 2026 — register now to reserve your seat and stop by booth #10028 to talk to experts and win prizes! Hear from Microsoft’s Brett Tanzer Four Clouds, One Conversation: OCI, AWS, Azure, and Google Leaders on What's Next [LRN1134] Join Microsoft Vice President Brett Tanzer for a four-cloud panel discussion exploring what’s next for multicloud data and AI, and why the decisions being made today will shape tomorrow’s cloud strategy. October 26 | 11:30AM Microsoft sessions you won't want to miss Monday, Oct 26 12:45 PM - 1:30 PM PDT Mission-Critical Modernization with Oracle Database@AnyCloud [LRN2573] See how Talcott Financial Group and Citizens Bank modernized mission-critical platforms on a secure, audit-ready multicloud foundation — Talcott moved 50+ databases and cut operational TCO by 70%. Tuesday, Oct 27 8:00 AM - 8:45 AM PDT From Oracle Data to AI Innovation with Oracle AI Database@Azure [LRN2247] See how Oracle AI Database@Azure connects Oracle data to Fabric, Foundry, Copilot, and AI agents without moving or rebuilding what works — plus, hear directly from customers as they discuss their Azure journey, the decisions that shaped their transformation, and the results they’re achieving today. Tuesday, Oct 27 1:00 PM - 1:45 PM PDT Connected Agents Across the Enterprise, Built with Microsoft Foundry [LRN2274] See how the Agent2Agent (A2A) protocol connects Oracle Private Agent Factory and Microsoft Foundry so agents collaborate across cloud boundaries. Tuesday, Oct 27 1:50 PM - 2:10 PM PDT Build an AI Agent on Oracle Data with Microsoft AI in 20 Minutes [THR2275] What can you do in 20 minutes? Watch an Oracle workload go from migration to AI agent in a single demo, proving you don’t have to rearchitect to start putting enterprise data to work with AI. Check out additional sessions featuring Microsoft and Oracle product experts. Tuesday, Oct 27 1:00 PM - 1:45 PM PDT AI Without Cloud Boundaries: Autonomous AI Database on AWS, Azure, Google Cloud [LRN6082] Tuesday, Oct 27 2:15 PM - 3:00 PM PDT Breaking the Walled Garden: The Engineering Behind Oracle Database@Everywhere [LRN2423] Wednesday, Oct 28 1:40 PM - 2:00 PM PDT Oracle AI Database@Azure: Real-World Multicloud Patterns from an Oracle ACE [THR6094] Stop by the Microsoft booth (#10028) in the hub – where innovation meets fun! Connect with Microsoft and explore how Oracle AI Database@Azure can help accelerate your cloud strategy and unlock new possibilities with Microsoft AI. We're running live demos with our experts throughout the day, so come see the platform in action and bring the questions you can't get answered anywhere else. Enter our raffle for a chance to win– all while exploring the most innovative Azure solutions driving enterprise transformation.Oracle AI Database@Azure Expands with Azure Native Oracle GoldenGate User Experience, Observability
Customers running mission-critical Oracle workloads on Azure want more than database infrastructure in an Azure datacenter. They want their Oracle environments to fit naturally into the way their teams already build, govern, monitor, and purchase services on Azure. Today, Oracle AI Database@Azure takes another step in that direction with a native Azure experience for Oracle GoldenGate. Customers can provision and manage GoldenGate resources through the Azure portal and APIs, configure connections across databases, clouds, streaming platforms, and Microsoft Fabric, and bring GoldenGate metrics and operational logs into Azure Monitor and Azure Log Analytics. Together, these capabilities reduce the boundaries between Oracle data replication and the Azure applications, analytics services, operational tools, and governance processes that surround it. Oracle GoldenGate as a native Azure experience Oracle GoldenGate helps enterprises keep operational systems, analytics platforms, and AI workloads synchronized through real-time data replication. The native Azure experience brings GoldenGate provisioning, resource management, connectivity, automation, governance, and observability into the Oracle AI Database@Azure environment. Customers can create, list, pair, manage, and delete GoldenGate deployments and connections through the Azure portal and incorporate the same lifecycle operations into automated workflows through APIs. Resources are discoverable from the Oracle AI Database@Azure overview and through Microsoft Marketplace search. Because these objects participate in the Azure control plane, teams can apply familiar Azure capabilities such as role-based access control, tags, sizing choices, and Activity Log auditing across the GoldenGate lifecycle. Provisioning is handled through the Azure experience, while administrators can open the GoldenGate console for detailed replication configuration after deployment. This approach keeps resource deployment, ownership, automation, governance, and auditability in Azure while preserving the specialized GoldenGate experience for configuring replication processes. Connect Oracle data to the platforms where teams use it The native Azure experience also reflects the breadth of systems that GoldenGate can connect. Customers can configure connections for Oracle Database, Oracle Exadata, OCI Autonomous Database, and Amazon RDS for Oracle, along with Exadata and Autonomous Database services running across Azure, Google Cloud, and AWS. For streaming scenarios, supported connection options include Azure Event Hubs, Apache Kafka, Confluent Kafka, Microsoft Fabric Eventstream, and OCI Streaming. GoldenGate can also synchronize Oracle data with Microsoft Fabric destinations including Fabric Lakehouse and Fabric Mirror expediting your ongoing journey of AI solutioning to build Data agents in Fabric more seamlessly. These connection options make GoldenGate a practical bridge between operational Oracle data and the analytics, streaming, and AI services that depend on continuously updated information. Observe GoldenGate with Azure Monitor and Log Analytics Provisioning GoldenGate in Azure is only part of the operational experience. As replication environments grow, teams also need a consistent way to monitor service health, identify lag, and investigate operational changes alongside the rest of their Azure estate. Oracle GoldenGate deployment metrics and operational logs are now generally available in Azure Monitor and Azure Log Analytics for Oracle AI Database@Azure customers. Teams can monitor replication health, create alerts, analyze lifecycle events, and correlate GoldenGate telemetry with Azure applications and infrastructure using the Azure tools they already rely on. Metrics for health, resource use, lag, and process status Azure Monitor provides 18 GoldenGate metrics organized around three operational needs. Deployment health and resource metrics cover CPU, memory, OCPU consumption, file system usage, temporary space, swap space, and overall deployment health. Replication-lag metrics provide visibility across the deployment and its components, including inbound and outbound deployment lag, Extract and Replicat lag, distribution and receiver path lag, and heartbeat lag. Status metrics show the state of Extract, Replicat, distribution paths, and receiver paths. Teams can use these signals in Azure alerts, dashboards, workbooks, and queries, helping them spot replication delays or unavailable processes before those issues affect downstream applications and data consumers. Operational events in Azure Log Analytics GoldenGate lifecycle and operational events can also be sent to an Azure Log Analytics workspace through diagnostic settings. The release includes event categories for deployment updates, deletions, restore workflows, maintenance activity, critical service conditions, and informational state transitions. Bringing both metrics and operational events into Azure gives operations teams a more complete view. They can see when behavior changed, review the lifecycle or maintenance activity around that change, and correlate the result with signals from Azure applications and infrastructure. A more connected Oracle and Azure experience The native GoldenGate experience brings provisioning, API-driven lifecycle management, connectivity, governance, metrics, and operational logs together as part of Oracle AI Database@Azure. Customers can manage replication resources through Azure, connect Oracle data to the services and platforms where teams use it, and incorporate GoldenGate telemetry into day-to-day Azure operations. The result is less operational friction for customers building applications, data platforms, analytics, and AI solutions around Oracle databases on Azure. Oracle AI Database@Azure continues to evolve as an experience that is managed, governed, automated, and observed through the Azure tools customers already use. Learn more Get started with Oracle AI Database@Azure Learn about the native Azure experience for Oracle GoldenGateYour Oracle Data Is Sitting Next to Microsoft AI. Are You Using It?
"Your organization runs Oracle on Azure. You've purchased Microsoft Foundry & OpenAI licenses. Why are your AI projects still stuck in proof-of-concept? "Your employees spend hours every week entering or reconciling data from documents, copying information into ERP systems. What would it mean if that information could be automatically gathered and processed in sub-millisecond level? "You have contracts, policies, SOPs, and compliance documents buried across Oracle modules that nobody can find fast enough to use. What decisions are being made on guesswork because the right answer was technically there but practically invisible? "Your data science team built a churn model, an equipment failure predictor, a demand forecast. Those predictions live in a Python notebook. When did your executives last act on one of them before the thing it predicted had already happened? If these feel familiar, the issue is not your models. It is the distance between your Data and your AI. Here's a scenario that plays out in enterprise after enterprise: The CIO has a mandate to deploy AI. The business runs on Oracle On-Premise or other Hyperscaler — ERP, EBS, financials, operations, the whole estate. Microsoft 365, Microsoft Fabric Power BI is popular choice of tool for Data Analytics and AI. Azure OpenAI licenses are purchased. Proof-of-concepts perform beautifully in demos and collapse in production cross-cloud boundaries. Copilots return stale data. Agents time out. Dashboards refresh so slowly that executives print them out and trust the paper more than the screen. The culprit is almost never the AI model. It's perhaps 200–300 milliseconds of latency between your Oracle data and your Microsoft AI platform cloud services. That gap — caused by Oracle sitting on-premises, in OCI, or in a different cloud — literally kills enterprise AI on Oracle workloads. It makes real-time copilots impractical, autonomous agents commercially unviable, and hourly AI-enriched dashboards technically impossible. Until that distance is removed, Azure AI in Oracle environments remains a demo. It does not become a production capability. WHERE THESE PATTERNS COME FROM? These six patterns in the article series were not invented for this article. They were discovered — built pattern by pattern, deployment by deployment, by Oracle customers and teams working on real enterprise problems against real Oracle databases. The original implementations ran on Oracle Cloud Infrastructure: Oracle's converged database handling JSON, vectors, graphs and relational data together; Oracle Integration Cloud orchestrating workflows; Oracle APEX delivering low-code applications; Oracle GenAI Service providing the intelligence layer. Real problems. Real Oracle customers. Real production deployments. Then something changed. Oracle AI Database@Azure arrived — and with it, a question nobody had been able to answer cleanly before: what happens when you take these proven Oracle patterns and surround them with the full Microsoft AI stack? Not as a replacement. Not as a migration away from Oracle. But as a surrounding activation layer — Microsoft Foundry, Azure Open AI, Power Platform, Copilot Studio, Power BI, Microsoft Fabric as well as Microsoft IQ Intelligence layer (Work IQ + Fabric IQ + Foundry IQ) — all now living in the same Azure region, same datacenter fabric, same network switch as Oracle AI Database@Azure. Sub-millisecond latency away from your Oracle data. Zero egress between them. The same tenancy, effectively. Oracle AI Database@Azure collapses the distance between your data and your models to zero. With Oracle Exadata and Microsoft AI platform sharing the same physical datacenter fabric — same building, same top-of-rack switch — the network hop becomes negligible. Latency falls to milliseconds. Cross-cloud egress charges vanish entirely. The patterns didn't change. The physics did. What changed is the underlying infrastructure. Microsoft AI sitting close to Oracle Data. This shift moves AI from possibility into practicality. These patterns already worked. What changed is that they now work fast enough, cheap enough, and simply enough to deploy at scale. NOTE: Based on the desired degree of customization and deployment flexibility, the six patterns described in this series may be realized using Microsoft 365, Power Platform, Copilot Studio, Microsoft Fabric, and associated services. The scope of this article series is limited to illustrating the Agent‑to‑Oracle AI Database@Azure integration paths through which these patterns are enabled. Six High‑Impact AI Use Cases for Oracle Estate Modernization on Azure with Microsoft AI Your Oracle data answers questions in plain English, without touching a line of code or a single schema object in Oracle. Your application runs on Oracle AI Database@Azure — the data is co-located, the latency is gone, the infrastructure is ready. But your teams are still spending the first hour of every shift logging into Oracle screens, toggling between systems, and manually looking up the numbers they need before they can start working. Relationship managers, care coordinators, and field engineers switch between multiple applications during a single interaction. The data is right there in Oracle. The friction is in how people reach it. This pattern removes that friction entirely. For sake of illustrating the end-to-end integration flows we will focus on Foundry which helps build custom agents get request from users and connect to Oracle. THE PATTERN IN-PLACE AI ENABLEMENT HIGH LEVEL DESCRIPTION Your Agents connects to Oracle AI Database@Azure, treating your Oracle schema as a live service endpoint. Users ask questions in plain English and because Microsoft AI and database share the same datacenter at sub-millisecond latency, responses are real-time - no stale or timeouts. AI doesn’t replace Oracle access. It removes the 40-minute overhead of logging in, navigating screens, and running reports — so teams focus on decisions, not data retrieval. The question for your architecture team: how does Agents reach Oracle AI Database@Azure? There are six distinct paths. All six end at the same place. The path you choose determines who builds the integration and how much control you have. SIX PATHS AT A GLANCE Path In plain language Who builds it Best for Oracle requirement 1. Oracle Connector Point-and-click chatbot for Teams Business analyst Fastest start Any Oracle 19c+ 2. ORDS + PL/SQL Secure web service, your own SQL DBA + developer Max control Any Oracle 3. ORDS + Select AI NL2SQL inside Oracle via Azure OpenAI DBA + developer Production NL2SQL Autonomous DB only 4. JDBC Functions Custom code, any language Developer Custom logic Any Oracle 5. Logic Apps Low-code workflow orchestration Citizen dev Multi-system Any Oracle 6. MCP + AI Agent Oracle reasons autonomously DBA + developer Complex reasoning Autonomous 26ai Your Oracle data answers questions in plain English, without touching a line of code or a single schema object in Oracle. Think of this as giving your agent the ability to look things up in your Oracle database — without anyone writing code. Microsoft Copilot Studio is a drag-and-drop tool where a business analyst points a chatbot at specific Oracle tables and says “these are your knowledge sources.” From that moment, any employee in Teams can type a question like “What’s the status of PO 4872?” and the chatbot answers instantly by reading live Oracle data. HOW IT WORKS Copilot Studio using the Native Oracle connector. Best separation of concerns. User → Teams→ Copilot Studio Agent → Oracle: The user interacts with Teams and asks plain English question. Copilot Agent with the native Oracle Database connector as knowledge source to query live Oracle AI Database@Azure data tables. Oracle → Copilot Agent: Returns live, governed data based on user context and access controls. Returns structured results to Copilot Agent for response assembly and formatting. Copilot Agent→ Teams → User: Delivers the final response back to the user in Teams, web app, or chatbot. STRENGTHS Accelerates AI deployment with minimal engineering overhead, enabling rapid rollout of enterprise copilots and agents without custom application development. Democratizes agent creation across business units through low‑code conversational interfaces — expanding AI innovation beyond centralized data science teams. Enterprise identity governance built‑in via Microsoft Entra ID with MFA, conditional access, and centralized authentication. Aligned to Responsible AI and data governance mandates through Microsoft Purview, Entra ID, and RBAC‑based access enforcement. Native integration across Microsoft 365 and Power Platform enables AI experiences to be embedded directly into existing workforce workflows. Data‑in‑place architecture: Oracle data remains at the source, eliminating duplication risks and enabling real‑time AI grounded in operational truth. Flexible agent development paths: Both Copilot Studio (low‑code) and Microsoft Foundry Agent Builders (pro‑code) can be leveraged to build enterprise agents using standardized Oracle connectors/tools. CONSIDERATIONS NL2SQL generation is mediated by Copilot Studio’s AI engine rather than Oracle Select AI — reducing direct control over SQL generation logic. Knowledge grounding is limited to table‑level data sources, restricting reuse of custom PL/SQL‑based business logic within agent interactions. Key Takeaway — Oracle AI Database@Azure Deployment Compatibility Base DB Service: Fully supported. Exadata DB Service: Fully supported. Same direct table access as Base DB. Exascale DB Service: Fully supported. ADB Serverless: Fully supported. Note that NL2SQL still comes from Copilot Studio, not Oracle Select AI. ADB Dedicated: Fully supported. This is the most universally compatible path. It works on every Oracle Database@Azure deployment type because the Copilot Studio connector reads tables directly — no dependency on Select AI or any Autonomous-only feature. On-premises Oracle (11g+) is also reachable via the Power Platform on-premises data gateway. You define exactly what goes back to the user — every SQL statement, every business rule, every byte of data is governed by your PL/SQL logic. This is the path for users that need deterministic, predictable responses from Oracle. Your Oracle DBA writes the exact stored procedures that retrieve and transform data. These procedures are exposed as secure REST endpoints via ORDS. Foundry calls them like any other API. You control the SQL, the business logic, the validation, and the shape of every response. HOW IT WORKS Microsoft Foundry Agents invoke ORDS REST endpoints that execute custom PL/SQL — no AI-generated SQL involved. User → Teams -> Foundry: The user interacts with Teams and asks plain English question that gets submitted to a structured intent request to a Foundry agent. Foundry → ORDS REST Endpoint: Foundry is the authoritative control plane: it validates the intent and route calls a pre-defined ORDS endpoint using OAuth 2.0 or Entra ID managed identity authentication with structured parameters. It accesses ORDS the same way it accesses any external API: thru tool connection. Best patterns for ORDS are Open API or a wrapped as Azure Functions/APIM. ORDS → PL/SQL Stored Procedure: ORDS routes the call to a PL/SQL stored procedure. The procedure executes your hand-crafted SQL with full RLS/VPD enforcement. Oracle → ORDS: Oracle executes the query, applies Row-Level Security, runs business validation, returns structured results. ORDS → Foundry: ORDS formats the result as JSON. Rate limiting and audit logging applied automatically. Foundry → Teams → User: Foundry assembles the response, optionally enriches with Azure OpenAI narration, delivers the answer back to user. STRENGTHS Deterministic AI‑to‑data interaction layer: Every SQL statement is explicitly defined — eliminating autonomous query generation and enabling policy‑driven data access. Enterprise‑grade identity and access controls through OAuth 2.0, Microsoft Entra ID managed identities. Embedded data‑level governance: Enforces Row‑Level Security (RLS) and Virtual Private Database (VPD) policies on every agent‑initiated query. Consistent deployment across database estates: ORDS is natively integrated with Autonomous Database and deployable on Base Database and Exadata. Agent‑ready API abstraction: ORDS endpoints can be registered as Open API tools/specs within Foundry Agent Service or Copilot Studio for controlled agent access. Enterprise AI control plane integration: Azure API Management (APIM) and Azure Functions introduce centralized authentication, policy enforcement, and abstraction of Oracle‑specific logic. Improved AI observability and governance posture across agent‑mediated database interactions. CONSIDERATIONS Requires PL/SQL development expertise to build and maintain stored procedure wrappers for agent access. ORDS endpoints must be explicitly defined and lifecycle‑managed, including versioning. New data use cases typically require endpoint or stored procedure updates, increasing operational overhead. Does not leverage Oracle Select AI, limiting ad hoc natural language query flexibility at the database layer. Key Takeaway — Oracle AI Database@Azure Deployment Compatibility Base DB Service: Fully supported. ORDS is installable. Full PL/SQL control with no Autonomous features required. Exadata DB Service: Fully supported. ORDS installable. Ideal for EBS/ERP workloads with custom stored procedures. Exascale DB Service: Fully supported. ADB Serverless: Fully supported. ORDS is built-in with zero setup — the best developer experience. ADB Dedicated: Fully supported. ORDS built-in. This is the most universally deployable path for controlled data access. It works on every Oracle Database@Azure service including Base DB (19c). No Autonomous-only features required. If your organization demands complete control over SQL generation and data exposure, this is the production-recommended starting point. Users ask plain English questions — Oracle’s own AI engine translates them into SQL, executes them, and returns governed answers, all within the database boundary. Your Oracle DBA creates a secure REST endpoint that accepts a plain-English question and returns an answer. Inside Oracle, Select AI reads your table structures, asks Azure OpenAI to generate the right SQL, runs it, and returns the result — all within the database boundary. Your data never leaves Oracle. HOW IT WORKS Microsoft Foundry Agents invoke ORDS REST endpoints that call Oracle’s Select AI engine (DBMS_CLOUD_AI). User → Teams -> Foundry: The user interacts with Teams and asks plain English question that gets submitted to a structured intent request to a Foundry agent. Foundry → ORDS REST Endpoint: Foundry is the authoritative control plane: it validates the intent and route calls a pre-defined ORDS endpoint Calls ORDS using OAuth 2.0 / Entra ID. Payload: {"question": "Avg salary by dept?", "action": "narrate"}. ORDS → DBMS_CLOUD_AI.GENERATE: PL/SQL wrapper invokes Select AI. Reads schema metadata, sends augmented prompt to Azure OpenAI (sub-ms latency). Azure OpenAI → Select AI: Returns generated SQL. Select AI validates, executes inside Oracle with RLS/VPD. Data never leaves Oracle. Oracle → Foundry: Select AI narrates the result. ORDS formats as JSON. Foundry → Team →User: Delivers the natural language answer with full audit trail. STRENGTHS In‑database natural language query capability through Select AI (NL→SQL engine in 26ai) enables governed, conversational access to enterprise data for ad hoc analysis and BI‑style exploration. Agent interaction occurs via curated query intelligence endpoints, ensuring controlled invocation from any agent orchestration layers like Microsoft Foundry or Power Platform. Governed data exposure model: Curated object_list definitions prevent unintended access to sensitive datasets. Enterprise‑grade identity and access controls via OAuth 2.0, Microsoft Entra ID, and ORDS rate limiting. NL2SQL execution remains fully contained within the Oracle database boundary, with Row‑Level Security (RLS) and Virtual Private Database (VPD) policies enforced at runtime. Native ORDS integration within Autonomous Database eliminates the need for separate deployment layers. Multi‑modal Select AI interaction support including showsql, runsql, narrate, chat, and summarize for agent‑mediated reasoning workflows. CONSIDERATIONS Requires PL/SQL expertise to implement stored procedure wrappers for agent invocation. Schema changes necessitate Select AI profile updates to maintain alignment with governed query surfaces. Select AI is limited to Autonomous Database deployments, and is not available on Base Database or Exadata Database Service environments. Key Takeaway — Oracle AI Database@Azure Deployment Compatibility Base DB Service: Not supported for Select AI. DBMS_CLOUD_AI is not available on Base DB. Use Path 2 (ORDS + PL/SQL) instead, or deploy a sidecar ADB instance to unlock NL2SQL capabilities. Exadata DB Service: Not supported for Select AI. Same limitation as Base DB. Deploy a sidecar ADB Serverless that reaches Exadata data via Database Links. Exascale DB Service: Not supported for Select AI. Same sidecar approach applies. ADB Serverless: Fully supported. Full Select AI, ORDS built-in, Azure OpenAI integration. This is the production-recommended deployment for Path 3. ADB Dedicated: Fully supported. Full Select AI and ORDS built-in. ORDS itself works on every deployment type — you can always expose PL/SQL as REST endpoints. But Select AI (the NL2SQL engine) is exclusively Autonomous Database. For Base DB, Exadata, or Exascale, the sidecar pattern (see Sidecar section below) unlocks Select AI without modifying your production systems. Your developers write the integration code — any language, any framework, any logic — connecting directly to Oracle using traditional database drivers. Your engineering team writes a small Azure Function that connects directly to Oracle using JDBC or Python. Maximum flexibility: custom logic, combining Oracle results with other data sources, retry policies, caching, and batching. HOW IT WORKS Microsoft Foundry Agents invoke Azure Functions that connect to Oracle via JDBC/python-oracledb. User → Teams-> Foundry: The user interacts with Teams and asks plain English question submitted to Foundry agent. Foundry → Azure Function: Calls the Azure Function’s HTTP endpoint as a custom tool. Azure Function → Oracle (JDBC): Opens JDBC/python-oracledb connection using wallet or token auth. Calls DBMS_CLOUD_AI.GENERATE, custom PL/SQL, or direct SQL. Oracle → Azure Function: Executes with RLS/VPD. Function can then enrich, transform, cache, or combine with other sources. Azure Function → Foundry: Formats and returns response. Your code controls error handling and retries. Foundry → Teams → User: Delivers the final answer. STRENGTHS Maximum engineering flexibility: Full developer control across any language and framework, enabling teams to standardize on existing enterprise development patterns. Leverages existing Azure app infrastructure: Runs cleanly on established Azure Functions and Azure App Service footprints. Operational resilience patterns under your control: Supports batching, retries, caching, and multi‑source aggregation to optimize performance and reliability. Broad driver ecosystem: Works with standard Oracle drivers including python-oracledb, JDBC (Java), and ODP.NET (.NET). CONSIDERATIONS Higher build-and-run burden: More custom code to develop, test, secure, maintain, and operate compared to an ORDS-based API approach. Key Takeaway — Oracle AI Database@Azure Deployment Compatibility Base DB Service: Supported for custom PL/SQL via JDBC. Not supported for Select AI — your Function would call Azure OpenAI directly for NL2SQL, then execute the generated SQL against Oracle. Exadata DB Service: Supported for custom PL/SQL via JDBC. Same external NL2SQL approach for Select AI. Exascale DB Service: Supported for custom PL/SQL. Same limitation for Select AI. ADB Serverless: Fully supported. ADB Dedicated: Fully supported. JDBC connectivity works with every Oracle Database@Azure service. You can always call custom PL/SQL from an Azure Function. However, calling DBMS_CLOUD_AI.GENERATE (Select AI) is Autonomous only. Low-code workflow orchestration that bridges Oracle into the broader Azure ecosystem — CRUD operations, stored procedures, conditional logic, and multi-system integration. Azure Logic Apps or Power Automate provides a visual workflow designer with a pre-built Oracle connector. Ideal when Oracle is one component of a larger multi-system workflow — invoice processing, approval chains, scheduled synchronization, cross-system orchestration. HOW IT WORKS Microsoft Foundry Agents invoke Azure Logic Apps workflows that orchestrate Oracle alongside other enterprise systems. User → Teams -> Foundry: The user interacts with Microsoft 365 Copilot or Teams and asks plain English question. Copilot interprets user intent and available Microsoft 365 context, then submits a structured intent request to a Foundry agent. Foundry → Logic Apps: Invokes a Logic Apps workflow as a tool — visual, low-code canvas. Logic Apps → Oracle (Connector): Uses pre-built Oracle connector for CRUD and stored procedures. Supports on-prem via data gateway. Oracle → Logic Apps: Returns results. Workflow applies conditional logic, routes to approvals, calls additional systems. Logic Apps → Foundry: Returns orchestrated result — may combine Oracle + other system data. Foundry → User: Delivers the final response or workflow status. STRENGTHS Low‑code orchestration model: Enables business teams to design workflows using a visual interface without requiring PL/SQL development. Pre‑built Oracle connectivity: Native connector manages authentication, connection handling, and CRUD operations out of the box. Supports invocation of stored procedures for integration with existing business logic and transactional workflows. Enterprise integration layer: Integrates Oracle into cross‑platform workflows spanning SAP, Salesforce, ServiceNow, and other enterprise systems via the same connector framework. Hybrid deployment support: Enables access to on‑premises Oracle environments (11g+) through the on‑premises data gateway without modifying the source database. CONSIDERATIONS Connector does not natively invoke Select AI or DBMS_CLOUD_AI, limiting direct access to in‑database NL2SQL capabilities. On‑premises data gateway may introduce an additional runtime component requiring installation, security assessment, and lifecycle management Key Takeaway — Oracle Database@Azure Deployment Compatibility Base DB Service: Fully supported. Full CRUD + stored procedure invocation via the Oracle connector. Exadata DB Service: Fully supported. Ideal for EBS workflow automation. Exascale DB Service: Fully supported. ADB Serverless: Fully supported. Can invoke Select AI indirectly by calling an ORDS endpoint as one workflow step. ADB Dedicated: Fully supported. Logic Apps works with every Oracle deployment type including on-premises Oracle (11g+) via the data gateway. For NL2SQL, combine Logic Apps with an ORDS endpoint (Path 2 or 3) as one step in the workflow. ORDS gives you control; Logic Apps give you speed and multi-system orchestration. The latest advanced path — the Oracle database itself becomes an AI agent that reasons, calls tools, reflects, and chains multi-step business logic autonomously. While Select AI is a stateless NL→SQL capability that handles a single query and returns a single result, Select AI Agent provides context-aware, multi-step agentic reasoning to support workflows—effectively acting as an agent wrapper that uses Select AI (or a data agent endpoint) as one of its tools. Oracle Private Agent Factory ("PAF") may be used to build agent that run inside the Oracle database which can query data (SQL, vector), analyze, reason, research and execute workflow. *MCP (Model Context Protocol) is an open standard — a “USB-C port” for AI agents. Oracle now offers a built-in MCP server on Autonomous Database (GA March 2026). HOW IT WORKS Microsoft Foundry Agents invoke Oracle’s Select AI Agent via ORDS or the built-in ADB MCP Server. User → Teams -> Foundry: The user interacts with Teams and asks plain English question submitted to Foundry agent. Foundry → Oracle (MCP/ORDS/REST API): Calls Oracle’s Select AI Agent. Oracle → ReAct Loop: Select AI Agent reasons about data needs, calls NL2SQL, Vector Search, PL/SQL business rules, external APIs. Agent → Tools (Iterative): Calls tools, evaluates results, iterates 3–10 times. All within Oracle’s security boundary. Oracle → Foundry: Formulates comprehensive narrated answer with citations. Foundry → User: Delivers the answer with full audit trail of every reasoning step STRENGTHS Advanced agentic execution capability: Supports multi‑step reasoning workflows where agents can invoke tools, maintain conversational context, and orchestrate actions across turns. Business logic executes natively within Oracle at sub‑millisecond latency — minimizing external orchestration overhead. Data remains within the database boundary, supporting structural compliance requirements for regulated industries. Select Agent execution path: ORDS invokes the Oracle in‑database agent runtime, enabling multi‑step reasoning workflows prior to returning results. Oracle Private Agent Factory agents may be exposed through ORDS endpoints or optionally surfaced via an Oracle MCP Server for agent‑based tool invocation. CONSIDERATIONS Requires Oracle 26ai Autonomous Database deployments to support in‑database agent runtime capabilities. Configuration complexity may be higher relative to lower‑capability integration patterns. Agent‑based reasoning may increase token consumption, resulting in higher per‑query costs compared to direct Select AI NL2SQL execution. Model Context Protocol (MCP) support remains in preview, and enterprise orchestration platform integrations continue to mature. Key Takeaway — Oracle Database@Azure Deployment Compatibility Base DB Service: Not supported. Exadata DB Service: Not supported. Exascale DB Service: Not supported. ADB Serverless: Fully supported. Built-in MCP server (GA March 2026), ReAct reasoning, Private Agent Factory, multi-turn memory. Requires 19.29+ or 26ai. ADB Dedicated: Fully supported. Full agent capabilities. Requires 26ai. Path 6 is exclusively Autonomous Database. The agentic runtime is deeply integrated into the ADB kernel. For non-Autonomous deployments, deploy a sidecar ADB instance to unlock agent capabilities. If your priority is… Start with… Oracle requirement Fastest time-to-value, M365 Path 1 — Copilot Studio Any Oracle 19c+ Complete SQL control, regulated Path 2 — ORDS + PL/SQL Any Oracle Natural language with Oracle NL2SQL Path 3 — ORDS + Select AI Autonomous DB Custom integration, multi-source Path 4 — JDBC Functions Any Oracle Multi-system orchestration Path 5 — Logic Apps Any Oracle Complex reasoning, agentic AI Path 6 — ORDS/MCP + AI Agent Autonomous 26ai Key principle All six paths can coexist. Most enterprises will run Path 1 (Copilot Studio) for rapid Teams access, Path 2 or 3 (ORDS) for production, and Path 6 (Select AI Agent) for complex reasoning — all against the same Oracle database, same security model, same audit trail. Now imagine your company has years of critical data sitting in Oracle databases. You want AI to answer business questions — "What were our top 10 customers last quarter?" or "Why did revenue dip in March?" — but you can't afford the risk, cost, or time of migrating your data to a Oracle Database At Azure system. The sidecar solves this. It's a small, lightweight AI database you park next to your existing Oracle environment. Your data never moves. Your production systems are never touched. You simply get AI-powered answers on top of what you already own — in minutes, not months. The sidecar can be an Autonomous Database instance (Serverless or Dedicated) running on Oracle Database@Azure. It does not store your production data — it connects to your existing databases (Exadata, Base DB, on-premises Oracle). What it IS: A smart AI assistant sitting beside your data, reading and answering questions on demand. Additionally enterprises can adopt a Fabric-centric, sidecar architecture that integrates Microsoft Fabric OneLake and Oracle Database@Azure. What it IS NOT: A replacement for your existing databases, a data warehouse, or a migration project. It does not own your data — it borrows a view of it. Everything in this article comes down to one physical reality: when Oracle AI Database@Azure and Microsoft AI share the same datacenter, the economics of enterprise AI don't just improve — they flip entirely. Latency disappears. Egress disappears. Complexity disappears. What we discussed today - PATTERN #01 of #06 - "AI In-Place Enablement" was never the hard part. The distance was. This only works because the AI and Oracle data now sit within milliseconds of each other. Previously, this interaction would time out or return stale results. For years, the gap between your Oracle data and your AI ambitions wasn't a technology problem — it was both physics and geography problem. That gap is now closed. Permanently. So now the only question left is this: "Do you want to be early — or do you want to be catching up?" Because Frontier organizations are not experimenting. They are building the next version of how their business runs. If you’re already running Oracle AI Database@Azure, you’re closer than you think. The only thing left is deciding where to start. If this resonates, you already know where to start. Pattern 1 of 6 is live and Oracle AI Database@Azure is live across 40+ regions. Remaining five patterns drop in over next series of this blog. Which one are you most curious about? We would love to know where you are headed. Drop it in the comments - we read every comment. 🔜 Next up — Pattern #02 of #06: Smart Agentic Workflow Automation and Document Intelligence. READING REFERENCES — Build Copilots with Copilot Studio + Oracle Database@Azure (Microsoft) Add Oracle as a knowledge source in Copilot Studio (Microsoft Learn) Unlocking Data for AI for Sidecar - Empowering Business Users with AI Driven Insights | autonomous ai database (Oracle) - Use Autonomous AI Database as an AI Proxy for Select AI (Oracle) Use AI Proxy Database for Select AI NL2SQL Oracle REST Data Services documentation hub (Oracle) Connect Logic Apps to Azure OpenAI and AI Search (Microsoft Learn) ORDS POST/PUT handlers for write-back to Oracle (Oracle community) Oracle AI Database 26ai announcement Microsoft Foundry Agent Service overview (Microsoft Learn) ORDS download page listing Oracle MCP Servers (Oracle) Extend agents with REST APIs / OpenAPI specs from ORDS (Microsoft Learn) Copilot Studio integration strategies including MCP and connectors (Microsoft Learn) Oracle Database@Azure multicloud overview (Oracle) Power BI Oracle Database Connector (Microsoft Learn) IMPORTANT DISCLAIMER: Before making architectural decisions or production commitments based on any pattern or paths described here, we strongly recommend validating the latest capabilities, version compatibility, regional availability, licensing, and support status directly with Oracle and Microsoft. This includes confirming Select AI feature availability, MCP server GA status, Copilot Studio connector regional rollout, Logic Apps connector capabilities, and sidecar Database compatibility for your specific Oracle version and deployment type. The assumptions, figures, and concepts presented in this blog are directional; each requires validation through a proof-of-concept or pilot before production commitment. The intent is not to prescribe a final architecture, but to map the art of the possible: identifying feasible, high-value AI use cases worth carrying forward into deeper design and execution. This blog is for educational purposes only. It does not constitute a product commitment, service guarantee, or contractual obligation from Oracle, Microsoft, or the authors. ## Acknowledgements This work reflects a collaborative "Art of Possible" effort between Microsoft Global Black Belt, Oracle Tiger Team and Cloud Engineering teams. Special thanks to Chip Baber, Dennis Var, John Andrew Prabaharan, Don Kidwell, Heema Satapathy and Johnnie Konstantas from Oracle Corporation for their valuable input and contributions to validating the real-world implementation scenarios, sidecar AI database activation patterns, Select AI Engine, Private Agent Factory with in-database agent orchestration, and hybrid multi-agent integration approaches that helped shape several of the multi-cloud architecture patterns discussed in this blog series.
New Oracle Autonomous AI Database - Dedicated option on Oracle AI Database@Azure
At Microsoft, our partnership with Oracle reflects a shared commitment to meeting customers where they are — helping them modernize mission-critical workloads on Azure without sacrificing the performance, control, or compliance posture they've built over years. As part of this continued evolution, Oracle Database@Azure has expanded and is now called Oracle AI Database@Azure — reflecting the broader portfolio of Oracle AI‑enabled database services available natively on Microsoft Azure, and the growing role these databases play as the foundation for analytics and AI. Today, we're thrilled to announce the general availability of Oracle Autonomous AI Database on Dedicated Exadata Infrastructure on Oracle AI Database@Azure, giving enterprises a new level of infrastructure exclusivity and operational control on Microsoft Azure. What's New: Autonomous AI Database on Dedicated Exadata Infrastructure Oracle Autonomous AI Database on Dedicated Exadata Infrastructure on Oracle AI Database@Azure gives organizations exclusive cloud resources for their databases — with greater control over maintenance windows, resource allocation, security boundaries, and lifecycle management policies, while Oracle continues to handle database administration. This is purpose-built for enterprises in highly regulated industries — financial services, healthcare, government, and defense — where resource isolation, audit trail requirements, and strict SLA obligations demand infrastructure that is exclusively theirs. Dedicated architecture reserves an entire Exadata cluster for a single customer, ensuring no shared tenancy, predictable performance, and full operational control without the complexity of managing the database layer. For organizations that prioritize agility over isolation, Oracle Autonomous AI Database on Serverless architecture remains available on Oracle AI Database@Azure — offering elastic scaling, rapid provisioning, and hands-off management on Oracle-managed infrastructure, with minimal administrative overhead. Together, both deployment options are available within the same Azure environment, giving every organization a path to run Oracle's most advanced autonomous database technology — at the right level of control for their needs. The Microsoft IQ Stack: Enabling Frontier Transformation The race to become an AI-powered enterprise starts with data — and for many of the world's largest organizations, Oracle isn't just a database — it's the system of record for their most critical data: financials, supply chains, ERP, and customer operations. That makes Oracle the foundation — and the gateway — to Frontier Transformation. Frontier Transformation isn't about replacing what works. It's about owning the autonomous intelligence layer above every system — Oracle included. That means transforming static enterprise data into active, agent-driven intelligence that reasons, acts, and continuously improves — with less manual intervention and faster time to value. The Microsoft IQ Stack is how that becomes real: Infrastructure— Azure is the hyperscaler substrate. Oracle AI Database@Azure runs Oracle's Exadata hardware natively inside Azure datacenters, bringing Oracle's systems of record into direct, low-latency proximity with Microsoft’s cloud services. Data — Oracle remains the authoritative system of record. Microsoft Fabric and OneLake activates that data to be governed, unified, and AI-ready. Models (IQ Core) — Work IQ, Foundry IQ, and Fabric IQ sit above the data layer, grounding Azure OpenAI and Microsoft Foundry in real business context that lives inside Oracle. Applications — Oracle apps remain systems of record. Microsoft Copilot and agents become the system of intelligence — embedded in the workflows where work happens. Oracle AI Database@Azure — and today's dedicated infrastructure expansion — directly strengthens the Data layer of the IQ Stack. Enterprises can now bring their Oracle data from anywhere — on-premises, Oracle Cloud Infrastructure (OCI), AWS, Google Cloud, or other environments — and land it on Azure, connecting decades of mission-critical data to the full power of Microsoft AI. Once on Azure, that data becomes active intelligence. It flows into Microsoft Fabric for governed analytics and unified data insights. It feeds Microsoft Foundry to power autonomous agents that don't just surface information — they reason over it, take action, and reduce operational overhead. And through Work IQ — via Microsoft 365 Copilot, Copilot in Teams, and Copilot Studio — it surfaces in the tools your people already use: meeting prep grounded in live financials, decisions informed by real ERP data, and custom agents built directly on your Oracle systems of record. The result is faster innovation, fewer operational bottlenecks, and a new generation of agent-driven processes built on the data your organization has trusted for decades. This is where the Microsoft IQ Stack becomes the strategic imperative for your Oracle workloads. Customer Spotlight: Activision Blizzard Modernizes Oracle E‑Business Suite and Activates AI on Azure Global gaming leader Activision Blizzard is using Oracle Database@Azure to modernize its Oracle E‑Business Suite (EBS) environment while laying the foundation for AI‑driven insights across the Microsoft cloud ecosystem. By running Oracle Exadata natively inside Azure datacenters, Activision Blizzard was able to move its EBS‑backed Oracle databases to the cloud without compromise—preserving the performance, reliability, and governance required for core financial and operational systems, while gaining direct proximity to Microsoft’s data and AI services. With Oracle EBS data available natively on Azure, Activision Blizzard gained real‑time access to its systems of record from Azure services and seamless integration across Oracle and non‑Oracle data sources. This enables faster insight delivery to business stakeholders and creates new opportunities to analyze and act on operational and financial data without costly data movement. Crucially, Oracle Database@Azure allows Activision Blizzard to extend the value of its EBS data using Microsoft Fabric, Power BI, and Copilot Studio—transforming traditional ERP data into AI‑ready intelligence. This provides a practical foundation for agent‑driven workflows, where AI can reason over trusted EBS data to support decision‑making, streamline processes, and accelerate innovation while maintaining strong governance and security controls. This customer story demonstrates how Oracle Database@Azure helps organizations modernize EBS‑based systems of record and connect them directly to the Microsoft IQ Stack—bridging enterprise ERP data with analytics, AI, and Copilot experiences to prepare for an AI‑first future. Learn more: https://www.microsoft.com/en/customers/story/26227-activision-blizzard-oracle-database-at-azure Generally Available Across All 33 Azure Regions Oracle AI Database@Azure is now generally available in all 33 Azure regions — making it most broadly available service amongst all hyperscalers. Each supported region includes multiple Availability Zones (AZs), enabling customers to architect highly available, resilient deployments that maximize uptime and protect against zone-level failures. These 33 regions span the globe across every major geography: Americas East US · East US 2 · West US · West US 2 · West US 3 · South Central US · Canada Central · Brazil South Europe UK South · North Europe · West Europe · France Central · Germany West Central · Switzerland North · Sweden Central · Norway East · Poland Central · Italy North Middle East & Africa UAE North · Qatar Central · Israel Central · South Africa North Asia Pacific East Asia · Southeast Asia · Japan East · Japan West · Australia East · Australia Southeast · Korea Central · Central India · South India · West India This global footprint ensures that enterprises — regardless of where their data must reside — can deploy Oracle AI Database@Azure with the data residency, latency, and compliance characteristics they require. A Comprehensive Oracle Database Portfolio on Azure Oracle AI Database@Azure is designed to give customers the same broad set of Oracle AI Database capabilities they rely on today — fully available on Azure. The portfolio includes: Exadata Database Service on Dedicated Infrastructure — for mission-critical OLTP workloads Exadata Database Service on Exascale Infrastructure — for cost-efficient, burstable enterprise workloads Oracle Autonomous AI Database (serverless and dedicated) Oracle Base Database Service — for flexible, customer-managed Oracle DB deployments Oracle Autonomous AI Lakehouse — for unified analytics and data warehousing Oracle GoldenGate — for real-time data replication and integration Oracle Database Zero Data Loss Autonomous Recovery Service — for enterprise-grade backup and recovery Customers can migrate to Azure without rearchitecting their existing solutions. Oracle Zero Downtime Migration automates the migration process to minimize disruption, and customers can implement Oracle Maximum Availability Architecture (MAA) Silver and Gold reference architectures within Azure for high availability and disaster recovery — all while keeping existing Oracle licenses (BYOL) or choosing a license-included model. Next Steps Whether you're migrating Oracle workloads to Azure, building AI-powered applications on top of enterprise data, or architecting for the highest levels of compliance and availability, Oracle AI Database@Azure gives you the foundation to move fast without compromise. Here's how to get started: Learn more at aka.ms/oracle Attend the Oracle + Azure Technical Webinar Series from our technical experts to go deeper on Oracle AI Database@Azure Join the Oracle AI Database@Azure community on LinkedIn to connect with peers and get the latest updates Talk to your Microsoft or Oracle account team to discuss architecture options, migration planning, licensing, and how to get startedMicrosoft hits the road with Oracle AI World Tour 2026.
Microsoft is a Gold Sponsor of the Oracle AI World Tour 2026, a series of five events in Amsterdam, London, Sydney, New York City, and Tokyo, aimed at promoting Oracle Database@Azure as a comprehensive, AI-ready solution for enterprise Oracle workloads in the public cloud. Attendees can engage with Microsoft experts, attend demos, and join theater sessions on modernizing Oracle workloads, security with Microsoft Sentinel, and leveraging Microsoft Foundry for AI-driven environments, all designed to simplify migration, enhance security, and accelerate AI innovation for enterprises.Build Your Own Custom Copilots with Microsoft Copilot Studio and Oracle Database@Azure
Enterprises have long relied on Oracle Databases to run mission-critical workloads across finance, HR, supply chain, manufacturing and many other sectors. Now, with Oracle Database@Azure, they can modernize these workloads directly within the Microsoft Cloud combining Oracle’s proven reliability and performance with Azure’s scalability, security, and AI-driven innovation. The next phase of this evolution brings AI copilots closer to enterprise data. With Microsoft Copilot Studio, organizations can now easily build custom copilots that securely connect to live Oracle data, providing natural language access to insights and actions within Microsoft Teams, Microsoft 365, or any business application. From Data Modernization to AI Innovation Oracle Database@Azure provides customers the flexibility to run Oracle workloads on Azure using Exadata, Autonomous, Exascale, or Base Database services without compromising performance or compliance. Once this data foundation is established, Copilot Studio becomes the bridge that turns structured Oracle data into conversational, intelligent experiences. Within minutes, organizations can design copilots that interpret business questions, query live Oracle data, and return contextual insights. No dashboards, no manual queries or no waiting for weekly and monthly reports, just trusted intelligence from the source of truth. This integration transforms how employees interact with enterprise systems, shifting from static reporting to dynamic, AI-driven dialogue in real time. Enterprise-Grade Security, Built In Security and compliance are at the core of every copilot built in Copilot Studio. Each copilot automatically inherits Microsoft’s trusted governance framework: Microsoft Entra ID ensures identity protection through Multi Factor Authentication, conditional access, and centralized authentication. Microsoft Purview extends data governance with sensitivity labels, Data Loss Prevention (DLP) policies, and audit trails even for AI conversations. Role-Based Access Control (RBAC) enables granular control over who can create, modify, or publish copilots, aligning with enterprise compliance policies. Microsoft Defender and Microsoft Sentinel further strengthen this ecosystem by monitoring Oracle Database@Azure environments for threats, vulnerabilities, and anomalous behavior, enabling proactive detection and response. These layers ensure copilots that access Oracle Database@Azure or hybrid Oracle environments remain secure, governed, and compliant by design critical for regulated industries such as finance, healthcare, and telecommunications. How to Get Started Creating an Oracle data powered copilot in Copilot Studio is simple and fast: 1. Create a new copilot in Microsoft Copilot Studio by selecting the “New Agent” option. 2. Connect your Oracle Database as a knowledge source through a secure connection: Add knowledge → Oracle Database. After the connection is established, the available tables within the schema will appear for selection. Once you select the desired tables, the copilot becomes grounded with relevant data from your Oracle Database. 3. Define topics and natural-language prompts that map to live queries. 4. Apply Purview labels and Entra ID access policies to enforce governance. 5. Publish directly into Microsoft Teams or Microsoft 365 for business-user access and collaboration. This workflow allows teams to move from structured data to governed conversational intelligence all within Microsoft’s AI-native ecosystem. Example: Sales Insights Copilot A finance department using Oracle Database@Azure can rapidly build a Sales Insights Copilot to simplify performance tracking and decision-making. When a leader asks: “What are the top five regions driving profit growth this quarter?” The copilot connects securely to Oracle data using the connector, executes the query, and delivers the answer instantly either in Microsoft Teams or M365 or any other supported channels. It respects existing data-governance controls and never exposes sensitive information. The result is faster decision-making and greater agility without the overhead of new dashboards or manual analysis. Why It Matters Together, Oracle Database@Azure and Microsoft Copilot Studio enable organizations to go beyond modernization to innovation. They empower enterprises to: Run Oracle workloads on Azure with low latency and enterprise-grade performance. Build AI copilots that bring Oracle data to life through conversational access. Maintain security, privacy, and compliance through Purview, Entra ID, and RBAC. By uniting trusted Oracle data with Microsoft’s AI-native tools, enterprises can reimagine how data is consumed turning it into actionable, intelligent copilots that operate securely at scale. Get Started Today Now is the time to modernize your Oracle environments with Oracle Database@Azure, delivering greater agility, AI-driven insights, and enterprise-grade security. Click here to get started today and connect with your local Microsoft sales team. We encourage you to try out these new features and let us know what you think: Learn everything about Oracle Database@Azure Connect to Oracle Database in Microsoft Copilot Studio Follow our LinkedIn community for the latest updates, feature highlights, and best practices on building AI copilots with Microsoft Copilot Studio, Azure AI foundry and Oracle Database@Azure.Oracle Database@Azure at Oracle AI World 2025: Powering the Next Wave of Enterprise Innovation
In today’s data-driven economy, organizations face growing pressure to modernize their data platforms, unify operations across on-premises and cloud, and operationalize AI—without compromising on security, compliance, or performance. At Oracle AI World 2025, Microsoft and Oracle are bringing major advancements to Oracle Database@Azure, extending the partnership that brings Oracle’s industry-leading database technology together with Microsoft’s trusted AI, cloud, and security platforms. These innovations deliver new levels of performance, resilience, and intelligence for mission-critical workloads. What’s new with Oracle Database@Azure? Global availability expansion – New regions now available in Central India, Spain Central and Canada East, enabling low-latency deployment, local compliance, and cross-region resilience. Expanded Oracle database offering – Oracle Base Database Service is now generally available on Azure. Customers can now run any Oracle Database service—with version flexibility (19c or 23ai). Oracle Autonomous AI Lakehouse is now generally available - Built on Apache Iceberg and powered by Oracle AI Database 26ai, it unifies AI, analytics, and open data—seamlessly integrating with Microsoft Fabric and Power BI so Azure users can securely apply AI to data wherever it lives. Smarter, connected operations – The general availability of Oracle Smart Operations, Azure IoT Operations, and Microsoft Fabric RTI brings unified real-time analytics and automation to operational systems. AI-Ready data unification – The public preview of Oracle Database mirroring in OneLake for Microsoft Fabric and general availability of native GoldenGate integration with Oracle Database@Azure creates AI-optimized, real-time data estates—reducing ETL complexity and accelerating insights. AI Integration with Copilot Studio and Azure AI Foundry – Enables direct Oracle data access for no-code/low-code AI application development and intelligent workflows. Enterprise-grade security and governance – Deep integration with Microsoft Defender, Sentinel, and Entra ID delivers comprehensive protection and compliance for Oracle workloads, with additional governance provided by Microsoft Purview. Operational modernization and automation – Azure Arc enables unified management and governance across hybrid and multicloud environments, complemented by new capabilities like Azure Backup, Autonomous Database-S Elastic Pools, Terraform/SDK releases, Azure Tags in OCI, and VCN DNS automation to simplify operations and improve efficiency. New programs: Azure Accelerate for Oracle program supports customers across their cloud and AI journey with expert guidance and investments Reseller expansion for Oracle Database@Azure for partners to purchase and resell directly from Microsoft Marketplace Microsoft Valuable Professionals (MVP) Program now includes Oracle Database@Azure under Azure Solutions and Ecosystem, empowering community leaders to share expertise and drive innovation for mission-critical workloads on Azure. Regional expansion: More regions, more possibilities Oracle Database@Azure is now live in Spain Central, Central India, and Canada East, extending the platform’s reach and giving customers more choice in where and how they deploy their mission-critical workloads. This continued global expansion enables customers to meet data sovereignty and compliance requirements, reduce latency by deploying closer to end users, and strengthen business continuity with regional redundancy. Today, Oracle Database@Azure is available in 28 regions worldwide, including: Australia East • Australia Southeast • Brazil South • Canada Central • Canada East • Central India • Central US • East US • East US 2 • France Central • Germany North • Germany West Central • Italy North • Japan East • Japan West • North Europe • Southeast Asia • South Central US • Spain Central • Sweden Central • Switzerland North • UAE Central • UAE North • UK South • UK West • West US • West US 2 • West US 3 Looking ahead, the service is planned to launch in five additional regions within the next 12 months, including Brazil Southeast, France South, North Central US, South India, and West Europe. This global scale reflects our joint commitment to bring the full power of Oracle Database@Azure closer to every customer—wherever they operate—delivering local performance, compliance, and resilience without compromise. More Oracle services with Oracle Database@Azure Oracle Database@Azure introduces new features that strengthen its position as the most enterprise-ready platform for Oracle workloads. Comprehensive database portfolio: Base Database Service is now generally available with Oracle Database@Azure. Base Database Service offers the Oracle Database engine on Oracle infrastructure co-located in Azure datacenters. With support for Enterprise Edition and Standard Edition 2 (19c and 23ai), built-in automation, BYOL flexibility, and pay-as-you-go pricing, it provides a simple way to run Oracle workloads natively in Azure. In addition to Base Database Service, organizations can choose from a comprehensive portfolio—including Oracle Exadata Database Service, Oracle Exascale Database Service, and Oracle Autonomous Database Service—to meet their mission-critical requirements on Oracle Database@Azure. Version flexibility: Customers can choose between Oracle Database 19c—the long-term support release trusted for enterprise stability—and Oracle Database 23ai, designed for next-generation, AI-driven workloads. This flexibility gives organizations control over their modernization timelines while ensuring full compatibility for existing applications. Azure IoT Operations and Microsoft Fabric with Oracle Fusion Cloud Supply Chain & Manufacturing (SCM): The general availability of Oracle Smart Operations, Azure IoT Operations, and Microsoft Fabric RTI connects physical assets and digital systems through a single, intelligent data layer. Manufacturers can capture live data from factory equipment, analyze it in real time, and automate corrective actions—creating connected, data-driven operations across the entire value chain. Maximum Availability Architecture (MAA) Platinum Tier: Full Oracle MAA support—up to Platinum Tier—is available exclusively on Azure, delivering the highest levels of availability, disaster recovery, and zero-data-loss protection for mission-critical workloads. This is further strengthened by Microsoft’s regional policy requiring dual availability zones within each region, ensuring resilient architecture and compliance with enterprise continuity standards. Together, these advancements offer organizations greater flexibility, simplicity, and cost efficiency when migrating, modernizing, or scaling Oracle workloads on Azure. Unified data for AI The latest data integration enhancements in Oracle Database@Azure make it simpler and faster to unify, replicate, and analyze data across Oracle and Microsoft ecosystems. With Oracle Database Mirroring in OneLake and native GoldenGate integration with Oracle Database@Azure, organizations can break down barriers between transactional and analytical systems—creating real-time, AI-ready data estates that drive predictive insights and operational efficiency. Oracle Database Mirroring in OneLake (Public Preview): This new capability introduces low-cost, low-latency mirroring of Oracle databases directly into Microsoft Fabric’s OneLake in a Delta Lake–optimized format, eliminating the need for complex ETL pipelines. Mirrored data is automatically synchronized and queryable through Microsoft Fabric, Power BI, and Azure AI, enabling cross-database analytics, near real-time insights, and consistent governance across Oracle and Azure environments—all while reducing integration overhead and accelerating time-to-value. GoldenGate integration on Oracle Database@Azure is now generally available: The general availability of native GoldenGate integration brings advanced, real-time data replication directly to Oracle Database@Azure. Running GoldenGate natively minimizes latency, streamlines replication architecture, and eliminates external data-movement dependencies. In addition, Open Mirroring support enables flexible, heterogeneous replication scenarios, giving enterprises more options for real-time synchronization across diverse environments. Together, these capabilities deliver continuous synchronization between operational Oracle databases and analytical workloads in Azure—providing fresher data, lower operational complexity, and higher reliability. Combined with Azure AI and Microsoft Fabric, organizations can build AI-ready data pipelines that power real-time analytics, fraud detection, and intelligent automation. Oracle Autonomous AI Lakehouse now generally available: Customers can now deliver enterprise-wide AI and analytics by uniting the power of open data, intelligent automation, and multicloud integration. Built on the open-source Apache Iceberg format, Oracle Autonomous AI Lakehouse combines Oracle AI Database 26ai, Oracle Exadata, and Oracle Autonomous AI Database to simplify how organizations manage, analyze, and operationalize data. With seamless integration across data platforms—including Microsoft Fabric and Power BI—Azure users can securely access and apply advanced AI models to their Oracle and non-Oracle data, no matter where it resides. This collaboration underscores Microsoft and Oracle’s shared vision of enabling enterprises to unlock actionable insights, accelerate innovation, and deliver AI-driven outcomes across their entire data estate. AI for everyone: Copilot Studio and Azure AI Foundry Across industries, organizations are eager to harness AI to transform their business—whether it’s automating operations, delivering predictive insights, or building intelligent customer experiences. The challenge? Unlocking the full value of enterprise data and making it instantly available to the latest AI tools. With Oracle Database@Azure, customers can now unify their most critical Oracle data with Microsoft’s powerful AI platforms—removing barriers between transactional and analytical systems and enabling real-time, AI-ready data estates. This seamless integration empowers every team, from developers to analysts, to innovate faster and build with AI at scale. Copilot Studio: With Copilot Studio, teams can design and deploy no-code and low-code AI agents that interact directly with live Oracle data hosted on Azure. Built on Azure OpenAI Service and Azure AI Foundry, Copilot Studio supports a wide range of models—including both Azure-hosted and custom options—enabling flexible, enterprise-grade AI development. This allows business users and developers to automate processes, create task-specific copilots, and embed AI-driven assistance into applications and analytics, all powered by secure, governed Oracle data. Thanks to built-in connectors, robust governance controls, and natural language interfaces, Copilot Studio streamlines the integration of AI capabilities across applications, analytics, and operational workflows. Azure AI Foundry: With Azure AI Foundry, developers gain access to thousands of pre-trained and custom AI models for building sophisticated, Oracle-aware workflows and intelligent agents. Native integration with Oracle Database@Azure enables seamless combination of structured Oracle data with unstructured or streaming data from Azure, supporting end-to-end AI solution development—from data ingestion and model training to evaluation and operational deployment. This architecture empowers use cases such as predictive maintenance, financial risk modeling, and real-time anomaly detection. Azure AI Foundry streamlines the process of building and deploying secure, data-driven AI applications, unifying Oracle data with Azure’s advanced analytics and automation ecosystem for scalable, enterprise-grade innovation. Comprehensive enterprise-grade security for Oracle Database@Azure Oracle Database@Azure now integrates deeply with Microsoft Defender for Cloud. Along with Microsoft Sentinel, and Entra ID, customers benefit from comprehensive, enterprise-grade protection purpose-built for Oracle workloads. This unified security approach combines proactive defense, real-time monitoring, and identity-driven access control—ensuring Oracle data remains secure, compliant, and resilient across hybrid environments. Microsoft Defender for Cloud provides advanced, Oracle-aware threat detection and vulnerability management, continuously assessing configurations, monitoring privileged activity, and identifying emerging risks across Oracle databases and infrastructure. Microsoft Sentinel offers AI-powered SIEM and SOAR capabilities for Oracle environments, correlating events, automating incident response, and providing full visibility into Oracle Database@Azure activity and dependencies—helping teams detect and respond to threats faster. Microsoft Entra ID enforces unified identity, access, and conditional policy controls through a zero-trust model, ensuring that only verified users and services can interact with critical Oracle data and workloads. Together, these services form an integrated security foundation—including advanced enterprise networking features— protects Oracle databases from the data layer to the cloud perimeter. Customers benefit from enhanced security, higher performance, and seamless connectivity, making it easier to integrate Oracle databases with Azure services and infrastructure. The result is stronger compliance, reduced operational overhead, and a streamlined path to securely modernize and innovate with Oracle workloads on Azure. Simplifying Operations, Automation and Management for Oracle workloads Modern enterprises operate across hybrid and multicloud environments, and Oracle Database@Azure gives IT teams the tools to manage and automate them efficiently. With Azure Arc, IT teams can manage Oracle databases and Azure resources through a single control plane. Azure Arc extends Azure governance, policy enforcement, and security management to Oracle Database@Azure, enabling consistent operations across on-premises, Azure, and other cloud environments. Teams can automate provisioning, enforce compliance, and maintain a unified view of Oracle workloads—reducing operational complexity while improving reliability. We're announcing new operations and automation enhancements to further reduce administrative overhead and streamline management: Backup to Azure– Strengthen business continuity with integrated backup and recovery to Azure Storage. Extend Oracle Database@Azure’s high availability architecture with secure, geo-redundant backups, rapid restore options, and seamless integration with Azure Backup and Site Recovery for comprehensive data protection. VCN DNS Forwarder Rules Automation – Simplifies hybrid network configuration, reducing manual setup time and minimizing connectivity errors between Oracle and Azure environments. Autonomous Database-S Elastic Pools & Customer-Controlled Patching – Optimizes performance and cost for Autonomous Database Serverless workloads while allowing customers to schedule updates on their own terms—ensuring uptime during critical business hours. Admin Password Management via Azure Portal – Enhances security posture and reduces administrative friction by allowing secure password updates directly within Azure. Azure Tags in OCI – Enables detailed cost tracking and chargeback reporting across Oracle and Azure resources, improving transparency for finance and operations teams. Enhanced VM Cluster Provisioning – Adds flexibility for network segmentation and naming conventions, simplifying configuration for complex Oracle deployments. Terraform and SDK Updates– Empower DevOps teams to deploy and scale Oracle Database@Azure environments programmatically with repeatable, Infrastructure-as-Code templates—accelerating deployment times and improving consistency. Together, Azure Arc integration and these new management capabilities give IT teams greater control, automation, and operational agility, allowing them to manage Oracle workloads consistently across on-premises, cloud, and edge environments. Customer Spotlight: Real-World Impact Across industries, customers are modernizing mission-critical Oracle workloads with less complexity and greater resilience, using Oracle Database@Azure as a foundation for data-driven innovation. Check out the latest customer success stories here. "Oracle Database@Azure delivered Exadata-grade performance natively within Azure, enabling us to host our Oracle EBS in the cloud without compromise. We gained native, real-time access to EBS data from Azure and seamless integration with both Oracle and non-Oracle data sources. Paired now with Microsoft Fabric, Power BI, and Copilot studio, our team will be able to accelerate insight delivery to business stakeholders and build agentic workflows faster. It’s a practical path to iterate on new features while keeping governance and security at the forefront." — Mahesh Tyagi, Vice President Finance Engineering, Activision Blizzard Azure Accelerate for Oracle To help every organization start quickly and confidently, Microsoft is introducing Azure Accelerate for Oracle—a program designed to support customers throughout their cloud and AI journey with expert guidance, funding, and best-practice resources. Azure Accelerate for Oracle helps customers simplify complex migrations, modernize applications, and integrate AI while minimizing cost and risk. The program includes: Access to trusted experts: Tap into Azure’s specialized partner ecosystem and the Cloud Accelerate Factory, offering Microsoft experts and proven methodologies at no additional cost. Microsoft investments: Access partner funding and Azure credits to offset migration costs, maximize value, and reduce project risk. Comprehensive coverage: Get hands-on support at every stage—from assessment and proof-of-value to pilot and full-scale implementation. With Azure Accelerate for Oracle, organizations can move forward with confidence—streamlining their cloud and AI journey while maximizing value, minimizing risk, and unlocking new opportunities for innovation. “As strategic partners for both Oracle and Microsoft, leading some of their largest client transformations, this partner-first approach will further enhance how we support the cloud migration and multicloud and AI needs of our clients,”. “By combining the performance and reliability of Oracle Database with Microsoft Azure’s rich set of application development and AI services, Oracle Database@Azure will help our clients accelerate modernization, unlock new insights, and drive greater business value.” — Andy Tay, global lead of Accenture Cloud First Oracle Database@Azure Partner Program Microsoft and Oracle are expanding opportunities for the partner ecosystem, enabling partners to deliver even more value to customers modernizing with Oracle Database@Azure. Microsoft AI Cloud Partners and Oracle PartnerNetwork (OPN) members can: Purchase and resell Oracle Database@Azure directly through the Microsoft commercial marketplace, simplifying procurement and deployment. Streamline customer migrations and modernizations by integrating Oracle and Azure capabilities through a single partner-led experience. Offer flexible procurement models for customers who prefer to buy through trusted partners, ensuring alignment with existing enterprise agreements. Provide localized expertise and implementation support, helping customers accelerate projects with confidence. Deliver faster access to innovation through joint Microsoft–Oracle collaboration, enabling customers to adopt the latest cloud, data, and AI capabilities. "Microsoft's partner reseller program helped CGI select Oracle Database@Azure to consolidate cloud services under a single cloud provider, ensuring cost efficiency, elasticity and redundancy required to meet CGI's client key requirements. For Smart DCC, CGI is working with Oracle and Microsoft to implement the solution through the Microsoft marketplace reseller model, providing a streamlined procurement route on a secure, enterprise-ready platform for mission-critical workloads." — Ro Crawford, VP Consulting Services, CGI Microsoft MVP Program for Oracle Database@Azure: Oracle Database@Azure is now included as a technology area within the Microsoft Most Valuable Professionals (MVP) program, under the new Azure Solutions & Ecosystem category. This expanded focus spans mission-critical workloads and modernization efforts—including Oracle Database@Azure, Azure VMware Solution (AVS), Nutanix on Azure, and mainframe modernization strategies. The MVP program recognizes exceptional community leaders for their technical expertise, leadership, speaking experience, online influence, and commitment to solving real-world problems. MVPs benefit from early access to product roadmaps, direct engagement with Microsoft engineering, and opportunities to influence the future of mission-critical workloads on Azure. Gain early access to product roadmaps Direct engagement with Microsoft engineering Opportunities to influence the future of mission-critical workloads on Azure. Through contributions such as sharing best practices, publishing benchmarks, and supporting user groups, MVPs help customers confidently adopt and optimize Oracle Database@Azure—driving innovation and excellence across the Azure ecosystem. To learn more about the program, visit this FAQ. Get Started with Oracle Database@Azure Now is the time to modernize your Oracle workloads with the combined power of Oracle Database@Azure. Whether you’re looking to migrate mission-critical databases, build AI-driven applications, or simplify multicloud operations, Microsoft and Oracle make it easier than ever to get started. Explore Oracle Database@Azure – Visit https://aka.ms/oracleand technical docs pages to learn more. Connect with your Microsoft sales team – Work with Microsoft and certified partners to plan, deploy, and optimize Oracle Database@Azure solutions tailored to your business. Discover what’s new – Follow the Oracle Database@Azure TechCommunity page for the latest updates, announcements, and learning resources. Get skilled on the Oracle solutions on Azure with the free skilling challenge - Challenge | Microsoft Learn Engage with the community - Sign up to be a Microsoft Valued Professional and reach out for any questions at asemvp@microsoft.com Join the Oracle Database@Azure LinkedIn communityOracle Database@Azure now supports Oracle Database 19c on Exadata Exascale and New UAE Regions
Organizations around the world are accelerating their cloud modernization journeys with Oracle Database@Azure. Today, we’re excited to share two important updates that expand both the capabilities and global availability of Oracle Database@Azure: Oracle Database 19c support for Exadata Database Service on Exascale Infrastructure on Oracle Database@Azure General availability of UAE North and UAE Central regions Oracle Database 19c Now Supported on Exadata Database Service on Exascale Infrastructure on Oracle Database@Azure Exadata Database Service on Exascale Infrastructure is a next-generation architecture that provides elastic scaling, optimized performance, and cost efficiency for Oracle Database workloads. With today’s update, Oracle Database 19c—the long-term support release trusted by thousands of enterprises—can now run on Exadata Database Service on Exascale Infrastructure with Oracle Database@Azure. This update makes it easier than ever for customers to: Migrate without delay – Move existing 19c workloads to Azure using Exadata Database Service on Exascale Infrastructure without immediately needing to upgrade to 23ai. Optimize costs and performance – Take advantage of Exascale Infrastructure to realize performance benefits and granularly scale for mission-critical workloads. Prepare for the future – Modernize now on Exascale, while maintaining a clear path to upgrade when business priorities allow. With Oracle Database 19c support on Exadata Database Service on Exascale Infrastructure for Oracle Database@Azure, customers can bring their current database investments forward into a cloud-native, multicloud-ready model—while unlocking seamless integration with Microsoft services like Fabric, Copilot Studio, Sentinel and Azure AI Foundry. New Regional Availability: UAE North and UAE Central We’re also thrilled to announce the general availability of Oracle Database@Azure in the UAE, with two new regions now live: UAE North (Dubai) and UAE Central (Abu Dhabi). With these additions, Oracle Database@Azure expands its reach in the Middle East, helping organizations: Address data residency and compliance needs across regulated industries. Accelerate digital transformation initiatives with local access to mission-critical Oracle Database services running on Microsoft Azure. Unlock multicloud innovation by integrating Oracle Database with Azure services such as Microsoft Fabric, Azure AI, and Microsoft Purview. Oracle Database@Azure is now available in 25 regions globally and 40 Availability Zones worldwide, including Australia East, Australia Southeast, Brazil South, Canada Central, Central India, Central US, East US, East US 2, France Central, Germany North, Germany West Central, Italy North, Japan East, Japan West, North Europe, Southeast Asia, South Central US, Sweden Central, UAE Central, UAE North, UK South, UK West, West US, West US2, and West US3. By the end of 2025, the service will expand to 8 additional regions, enhancing scalability and resilience worldwide. Three multi-zone regions will include Spain Central, Switzerland North, and West Europe. Five single-zone regions will include Brazil Southeast, Canada East, France South, North Central US, and South India. The global expansion of Oracle Database@Azure continues to align with Microsoft's best practices for Disaster Recovery. For more details, please refer to Microsoft's cross-region replication guidelines: https://learn.microsoft.com/en-us/azure/reliability/regions-paired. Looking Ahead With Oracle Database 19c support on Exadata Database Service on Exascale Infrastructure for Oracle Database@Azure and new regional availability in UAE North and UAE Central, customers now have more options than ever to modernize with confidence, scale with flexibility, and innovate with AI-powered data services on Azure. We look forward to continuing to expand Oracle Database@Azure across more regions and delivering the capabilities customers need to unlock the full potential of their Oracle data. We invite you to our upcoming Oracle AI World events to learn more about the exciting growth of Oracle Database@Azure. Come join us in-person or virtually to learn more! Oracle Database@Azure Events: 10/13 – Oracle AI World (Las Vegas) 11/18 – Microsoft Ignite (San Francisco) Learn more: https://aka.ms/oracle Technical documentation: Overview - Oracle Database@Azure | Microsoft Learn Get skilled: https://aka.ms/ODAA_Learn Microsoft Azure Region policy: Azure region pairs and nonpaired regions | Microsoft LearnMicrosoft is headed to Oracle AI World 2025 in Las Vegas!
AI and data transformation are reshaping industries – and your Oracle data is at the heart of it. Join us at Oracle AI World to see how Microsoft and Oracle are partnering to unlock the full potential of your data with Oracle Database@Azure. Register now to reserve your seat and stop by booth #3005 to talk to experts and win prizes! Brett Tanzer will take the stage for Microsoft’s Spotlight Session Supercharge Oracle Data with Microsoft AI [SPO4095] Wednesday, Oct 15 | 4:45PM – 5:30PM Join Microsoft Vice President Brett Tanzer to see how Oracle customers are driving AI-powered innovation on Azure—using Fabric, Copilot Studio, and Azure AI Foundry to turn data into intelligent apps and real-time insights. More Microsoft sessions you won’t want to miss Tuesday, Oct 14 4:15PM – 5:00PM Unified data meets Azure intelligence: Fabric, Foundry and Copilot in action [LRN3888] Discover how to unlock AI-driven insights and automation with Oracle Database@Azure, Microsoft Fabric, and Power BI—empowering leaders to transform data into intelligent applications. Wednesday, Oct 15 11:00AM – 11:45AM Enterprise-Ready, AI-First: What’s New with Oracle Database@Azure [LRN3890] Learn how to transform Oracle workloads into intelligent, cloud-native solutions with Oracle Database@Azure—featuring enterprise-grade security, real-time AI innovation, and customer success stories; hear why Microsoft leads in multicloud innovation. Thursday, Oct 16 9:00AM – 9:45AM Accelerate Azure Migrations by Unlocking Access to Microsoft Experts & Programs [PAN4096] Drive Oracle migration with Microsoft’s expert guidance, strategic investments, and real-world customer success—see how organizations are modernizing with AI-ready solutions on Azure. Wednesday, Oct 15 2:30PM – 2:50PM Fast track to innovation with your Oracle data and Microsoft Fabric [THR3891] Attend this session to learn how to mirror Oracle data and apply Microsoft tools like Fabric, Power BI, and Copilot to drive real-time analytics, AI insights, and innovation across Azure. Wednesday, Oct 15 1:00PM – 1:45PM Multicloud Panel: Hear It from Amazon, Google, Microsoft, and Oracle [PAN1163] Microsoft Vice President Brett Tanzer will highlight how OCI’s multicloud services, natively integrated with Azure, enable customers to modernize and innovate with Oracle Database while leveraging the scale and capabilities of the Microsoft Cloud. Check out additional sessions featuring Microsoft and Oracle product experts. Tuesday, Oct 14 11:30AM – 12:15PM Multicloud in Motion: Reinventing the Enterprise with Accenture and Oracle [SOL4011] Tuesday, Oct 14 11:30AM – 12:15PM Multicloud Monitoring and Observability for Oracle Exadata and Database [SHO3229] Tuesday, Oct 14 12:50PM – 1:10PM Lloyds Banking Group Redefines Banking Operations with Multicloud [THR1340] Wednesday, Oct 15 9:45AM – 10:30AM GoldenGate Everywhere: Real-Time Multicloud Streaming with Azure and Google [SHO3050] Wednesday, Oct 15 10:30AM – 10:50AM How onsemi Transformed Enterprise Operations with AI Chatbots [THR3986] Wednesday, Oct 15 3:30PM – 4:15PM Develop Apps Using Oracle Database and AI on Microsoft Azure [LRN3298] Thursday, Oct 16 10:15AM – 11:00AM Pros, Cons, and Tips to Drive Innovation on Oracle Database@Azure [LRN3831] Thursday, Oct 16 11:30AM – 12:15PM Multicloud Maximum Availability: Migration Best Practices & Proven Architectures [LRN3496] Stop by the Microsoft booth (#3005) in the hub – where innovation meets fun! Connect with Microsoft and explore how Oracle Database@Azure can help accelerate your cloud strategy and unlock new possibilities with AI. Spin the wheel, enter raffles, and win prizes – all while exploring the most innovative Azure solutions that are driving enterprise transformation.
