This page is intended as a home page for all of the Microsoft Official Build & Modernize AI Applications reference solutions and content. The projects listed below provide access to the published Microsoft content on how to build AI-enabled applications using Azure OpenAI Service, Azure Container Apps (or Azure Kuberntes Service), Azure Cosmos DB and Azure Cognitive Search.
The Solution Accelerators below are designed to demonstrate how to build AI-enabled applications and services in Azure. These solutions can be forked or cloned to help build prototypes for your organizations, helping you get started and reduce time to market. Each of the solution accelerator solutions below are also accompanied by a 1-2 day hackathon that provide a series of challenges for users to learn the concepts, technical skills and Azure Services used to build these types of applications.
Navigate to Vector Search & AI Assistant
The scenario for this sample centers around a consumer retail "Intelligent Agent" that allows users to ask questions (RAG Pattern) on vectorized product, customer and sales order data stored in the database. The data in this solution is from the Cosmic Works sample for Azure Cosmos DB and adapted from the Adventure Works 2017 SQL database sample for a retail Bike Shop that sells bicycles, biking accessories, components and clothing.
Build Modern AI Apps Hackathon Content
Navigate to Real-Time Transaction Payment Processing
The scenario centers around a payments and transactions solution. Members having accounts, each account with corresponding balances, overdraft limits and credit/debit transactions. Transaction data is replicated across multiple geographic regions for both reads and writes, while maintaining consistency. Updates are made efficiently with the patch operation. Business rules govern if a transaction is allowed. An AI powered co-pilot enables agents to analyze transactions using natural language.
Real Time Transactions Hackathon Content
Navigate to Medical Claims Processing
The scenario centers around a medical claims management solution. Members having coverage and making claims, providers who deliver services to the member and payers who provide the insurance coverage that pays providers for services to the members. Claims submitted are submitted in a stream and loaded into the backing database for review and approval. Business rules govern the automated or human approval of claims. An AI powered co-pilot empowers agents with recommendations on how to process the claim.
Claims Processing Hackathon Content
The Intelligent App Workshop for Microsoft Copilot Stack is inspired by Github Copilot's impact on developer productivity. This experiential workshop is designed to demonstrate how you can infuse similar intelligence and product experience into traditional software systems. Using Microsoft's Copilot stack and practical use cases, this workshop will guide you in envisioning and creating intelligent systems that integrate foundation models throughout all stages of application development - from design and user experience to deployment.
By leveraging design thinking, Project Miyagi which provides the underlying samples for this workshop, and art-of-the-possible examples (with samples and skills from Semantic Kernel (SK), Project Miyagi, and Reddog), this workshop offers a comprehensive, hands-on exploration of how foundation models can augment your applications with intelligence to create hyper-personalized product experiences and improve productivity. We will also have an Architecture Design Session (ADS) to unlock and operationalize the full potential of AI-infused applications for your organization.
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