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Build and Modernize Intelligent Apps
The document discusses the evolution and modernization of intelligent apps leveraging generative AI, emphasizing the shift from traditional app architectures to cloud-native, AI-powered solutions. It outlines principles such as microservices, rapid innovation, and enhanced user experiences through AI capabilities integrated into both new and existing applications. Additionally, it highlights Azure's role in providing the necessary infrastructure and tools for app developers to build and manage intelligent applications effectively.
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Build and Modernize Intelligent Apps
- 1. Build and ModernizeIntelligent Apps Lorenzo Barbieri Daniela Tomoiaga
- 2. Generative AI makesapps truly intelligent Modern apps Modern app development principles Microservices-based architecture Rapid innovation with CI/CD Paradigm shift Intelligent apps Natural language interaction Data-driven, personalized experiences that improve over time Quickly deliver new features
- 3. Progressing from nowto next Traditional app architectures and platforms are harder/unfeasible to adapt to these new opportunities Traditional databases struggle with geographicallydistributed unstructured data and ensuring low latency access App developers working with AI, data and other product teams need a unified experience across environments that provides an easy integration between services and ensures smooth handoffs CIOs recognize that the foundations… to support AI development must evolve* Transformation Cloud Apps + data AI *2023 Survey conducted by MIT Technology Review Insights, of 600 CIOs and other technology leaders
- 4. Innovate on apressure tested AI platform AI-based search with ChatGPT Biometric identity verification Personalized recommendations Copilot for Work across Office 365 Copilot assisted coding Microsoft modernized our own flagship apps, and augmented with AI copilots for highly differentiated experiences
- 5. Azure powers OpenAIand ChatGPT ChatGPT Runs on Azure Kubernetes Service Backed by Azure Cosmos DB Developed on GitHub Fastest growing consumer product in history
- 6. Build new Intelligentapps: Develop AI powered applications optimized for cloud
- 7. Realize the powerof intelligent apps for your business 1 Build new intelligent apps 2 Add AI capabilities to existing apps 3 Build your own copilot 4 Develop new cloud-native applications 5 Modernize existing applications
- 8. A common platformwith the technology you need Application services Azure Kubernetes Service Azure App Service Azure Container Apps Azure Functions AI portfolio Azure AI Services (including Azure OpenAI Service) Azure AI Studio Managed databases Azure SQL family Azure PostgreSQL Azure Cosmos DB
- 9. Services to bootstrapAI and integrate with best of cloud Turing Rich language understanding Z-Code 100 languages translation Florence Breakthrough visual recognition GPT-3/GPT-4 Human-like language generation DALL-E Realistic image generation Codex Advanced code generation ChatGPT Conversation generation Azure AI services Vision Speech Language Decision OpenAI Service Cognitive Search Form Recognizer Immersive Reader Bot Service Video Analyzer Breakthrough research, to AI tools for developers and data scientists to augment the work that people do, freeing up time for more creative tasks and innovative thinking
- 10. Empower developers tocombine the power of AI, cloud-scale data, and cloud-native app development Identity RBAC Monitoring Policy AKS Cluster Service Bus Queue Cosmos DB Azure OpenAI or other Azure AI services order-service store-admin makeline-service store-front product-service ai-service
- 11. Add AI capabilitiesto existing apps: Modernize and enhance existing applications with AI
- 12. Adopt a bettersoftware development paradigm Traditional Monolithic apps Waterfall/sequential App server on single machine Many tools, ad hoc automation Designated deploys Cloud-Native Microservice/composite apps DevOps and CI/CD, iterative releases Containers, infrastructure abstraction, serverless Managed databases, AI models, APIs Always shipping code and business value
- 13. End-to-end application platformfor intelligent apps Community Security Azure Active Directory Azure Policy Microsoft Defender AI Machine Learning Azure AI Services Azure AI Studio Development tools GitHub Azure API Management Azure Container Registry Visual Studio Code …and more… Azure Kubernetes Service Azure Container Apps Application platforms Azure Functions Azure App Service Managed databases Azure PostgreSQL Azure Cosmos DB Azure SQL family Azure MySQL & MariaDB Storage Azure Storage Observability Azure Monitor Azure App Insights Azure Managed Grafana Azure Arc Cloud operations anywhere
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- 15. BYO copilot -solution architecture With Reference Application you will be able to connect your enterprise data sources to build a ChatGPT like conversational interface. It can be used to search, explore internal data, power a new generation of Support, Sales, Bots. By using Azure Cosmos DB you guarantee full control over your data, extreme availability, real time global access and immediate scalability. Legend: Source Data Semantic Kernel Orchestrated Call Other Service Call Source Data + E mbeddings, Prompts & Completions DATA SOURCES Batch / CDC / Stream Azure Cosmos DB User Interaction CONSUMERS Data Engineers DBAs End Users A zure Ope nAI (E mbeddings AP I) Q&A Web App Files Databases Apps Ask Question 1 Submit Question & History 2 1 Q&A interaction 1 Source data loading 1 Change Feed: Source Documents 2 Index Documents & Embedding Vectors 4 Persist Q&A 6 Persist Embedding Vectors 5 5 Request Completion (Completions API) Request Embeddings (Embeddings API) 3 C ognitive Se arch (H ybrid Index) Azure Ope nAI (Completions AP I) Request Question Embedding (Embeddings API) 3 Search for context data 4 Load Q&A Session 0 Repo: https://github.com/Azure/Build-Modern-AI-Apps Azure Kubernetes Azure Kubernetes
- 16. Reference App: MedicalClaims Processing & Handling Repo link: https://github.com/Azure/Medical-Claims-Transaction-Processing-at-scale Uses: Azure Cosmos DB, Azure Kubernetes Services (AKS), Azure OpenAI Services, Azure Synapse Analytics, Event Hubs, Static Web App
- 17. Reference App: Real-timeTransactions & Payments Repo link: https://github.com/Azure/Real-time-Payment-Transaction-Processing-at-Scale Uses: Azure Cosmos DB, Azure Kubernetes Services (AKS), Azure OpenAI Services, Static Web App
- 19. Semantic Kernel &Plug-Ins
- 20. Introducing Semantic Kernel • Open-sourceSDK to orchestrateAI workflows in your applications • Support for Open AI, Azure Open AI and Hugging Face • Available in C#, Python and Java • Plugins • Automatic orchestration with planner • Memory and embeddings
- 21. Extend your applicationwith plugins • Plugins give you the option to: • Enable your AI solution to integrate 3rd party platforms • Easily reuse prompts and features across multiple applications Semantic Functions (prompt) Native Functions OpenAI Plugins
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- 28. The Dawnof LMMs:Preliminary Explorations with GPT-4V(ision)
- 33. GRAZIE! LinkedIn.com/in/geniodelmale Connect with meon LinkedIn LinkedIn.com/in/daniela-tomoiaga Connect with me on LinkedIn