Azure IoT - A Practical Entry to New Retail
- 1. Delivering New Retail with Microsoft Azure and Azure IoT Daniel Li IoT Device & Experience
- 2. AGENDA ? New Retail and Connected Consumer Journey ? A New Ecosystem and Transformation Success Factors ? Azure IoT Essentials to Realize Your Retail Initiatives ? Azure IoT Reference Architecture ? Azure IoT Edge ? Azure IoT Central ? Azure Machine Learning ? Azure Dynamic 365 ? Next Steps
- 3. The scale and pace of change2007 $100,000 2013 $200 2007 $40,000 2014 $100 2007 $550,000 2014 $20,000 2000 $2.7bn 2007 $10m 2014 $1,000 1984 $30 2014 $0.16 2009 $30,000 2014 $80 2007 $499 2015 $10 DNA Solar Smartphones Drones 3D Printing Industrial Robots Sensor (3D) An astonishing pace of change is accelerating transformation. Technology is more affordable and accessible than ever before. 2 2 3 3 4 4 5 6 6 8 20 0 2 4 6 8 10 12 14 16 18 20 22 Xiaomi Snapchat Airbnb CloudFlare Uber Average Unicorns Tesla Cloudera Facebook Google Typical Fortune 500 years Time to reach $1B valuation or more Source: World Economic Forum
- 4. Demand for personalization and customization Brands selling direct-to- consumer Buying local Subscription models Managing and using big data Activist investors and consumers Globally, middle class spending will triple by 2030 New patterns of consumption New demands as result of Change on retail
- 5. Predict what customers want before they tell you using predictive analytics solutions to create relevant cross-sell and upsell opportunities throughout the customer journey Create a connected consumer journey Deliver engaging in-store experiences Enable information-rich experiences in store with bots, personalized kiosks, mobile apps. Connect with customers at the right time, right place with the right offers Gather data from various points of customer contact to understand customer behaviors and respond with relevant offers. Give sales associates the customer data to deliver a personalized in-store experience. Help customers with mobile POS, assisted selling, clientelling, and bot applications on mobile devices.
- 6. A new ecosystem to drive business intelligence, innovative marketing and sale
- 7. It Takes Digital Transformation to Capture New Demand and Ecosystem ENGAGE YOUR CUSTOMERS to provide relevant service that increases loyalty EMPOWER YOUR EMPLOYEES to deliver differentiated service and maximize growth OPTIMIZE YOUR OPERATIONS to build an agile, insight-driven organization TRANSFORM YOUR PRODUCTS and create new ways to deliver value
- 8. AGENDA ? New Retail and Connected Customer Journey ? A New Ecosystem and Transformation Success Factors ? Azure IoT Essentials to Realize Your Retail Initiatives ? Azure IoT Reference Architecture ? Azure IoT Edge ? Azure IoT Central ? Azure Machine Learning ? Azure Dynamic 365 ? Next Steps
- 9. Resource constrained devices Existing IoT devices IoT SDK Solution UX Application Business Logic Stream Processing and Analytics Business Integration Connectors and Gateway(s) Edge Gateway Cloud Gateway Data Path Optional solution component IoT solution component IoT SDK Presentation & Business ConnectivityData Processing, Analytics and ManagementDevice Connectivity Personal mobile devices IP capable devices IoT SDK Business systems Device Provisioning and Management Azure IoT Reference Architecture
- 10. Devices Example: Azure IoT Suite Remote Monitoring Back end systems and processes Event Hub Storage blobs CosmosDB Web/ Mobile App Stream Analytics Logic AppsIoT Hub Web Jobs C# simulator Remote Monitoring | Predictive Maintence | Connected Factory
- 11. Mainframe Centralized 1960-1970 Mobile-Cloud Centralized 2005-2020 Client-Server Distributed 1980-2000 Edge Intelligence Distributed 2020- 45% of IoT created data will be stored, processed, analyzed and acted upon at the edge by 2019 5.6 billion IoT devices will be connected to an edge computing solution by 2020 IDC FutureScape Worldwide Internet of Things Predictions, 2016
- 14. Cloud Gateway Insights ActionsThings IoT Pattern + Edge Tremendous Hardware and Silicon Vendor Incremental Opportunity Azure IoT Hub Insights Actions
- 15. IoT on the Edge Symmetry IoT in the Cloud Remote monitoring and management Merging remote data from multiple IoT devices Infinite compute and storage to train machine learning and other advanced AI tools
- 16. Deploy workloads as containers via IoT Edge runtime Manage devices and containers centrally in the cloud Secure solution from chipset to cloud Use existing AI, cloud analytics or create your own code
- 17. Concepts – Cloud off-load Modular architecture for cloud offload Azure services provide AI modules provide true edge analytics Ecosystem for 3rd party edge services Azure IoT Edge Runtime Azure IoT Edge device Scenario: Find insights locally from telemetry data and only send insights to the cloud. Ingest Module Format Module ML Insights Telemetry
- 18. ? Public Preview Released Nov ‘17 Azure IoT Edge Extend cloud services (such as Stream Analytics and Machine Learning) to IoT devices Deploy workloads to the edge via Docker-compatible containers Manage devices and edge services centrally through Azure IoT Hub Enable real-time decision making Operate reliably in intermittent cloud connectivity Reduce bandwidth and costs by pre-processing data locally https://azure.microsoft.com/campai gns/iot-edge/ ? Edge Runtime ? Modules ? Cloud off-load ? Cloud configurability and monitoring
- 19. New skill sets Time-consuming setup and integration not for everyone Higher up-front investment Building an IoT Solution Can be A Challenge
- 20. Homepage
- 22. Device Rules
- 24. Device Dashboard
- 25. Device Explorer
- 26. Device Sets
- 27. Analytics
- 28. Device Setup
- 29. Microsoft IoT Central Comprehensive portfolio Only hyperscale cloud vendor to offer SaaS, PaaS, and hybrid options for IoT, and a commitment to continual innovation Extensive partner ecosystem Industry leaders ready to collaborate with your business Industry-leading security and privacy From endpoint and connection through to data and the cloud Large-scale SaaS experience Experience of running and managing powerful, user-friendly, scalable solutions used by millions of users worldwide Open platform Any device, OS, data source, software, or service
- 30. AI and Machine Learning
- 31. Delight your customers with personalized experiences Empower your workforce to provide differentiated customer experiences Transform your products and services Optimize your supply chain with intelligent operations Shoe style XYZ In-stock at Modern Store! BUY NOW SHOP SIMILAR CHAT Digital assistant Product expert alert It looks like Jane might need help CUSTOMER HISTORY Women’s Clothing Intelligent Customer Service Shoe style XYZ In-stock at Modern Store! BUY NOW SHOP SIMILAR CHAT Digital assistant Shoe style XYZ In-stock at Modern Store! BUY NOW SHOP SIMILAR CHAT Digital assistant Product expert alert It looks like Jane might need help CUSTOMER HISTORY Women’s Clothing Intelligent Customer Service Proposed production based on forecasted trends High-performing attributes Blue Leather Cross- body Recommendation: More blue, leather, and cross-body styles Demand forecasting 1 2 3 4 5 6 7 Green clutc Floral hand Leather cro Cross-body Demand forecasting Blue Leather Cross- body Recommendation: More blue, leather, and cross-body styles
- 32. Data Modeling & APIs Clients Traditional data Web data Big data API ML STUDIODATA Predict Customer Needs with Powerful Tools Demand forecasting Predictive maintenance Vehicle telemetry Azure Machine Learning templates Azure Machine Learning services
- 33. Knowledge Knowledge Exploration Service Top publications in AI... Listening… Search Bing Search Fraud prevention results… Listening… Language Natural Language Processing Play today’s conference call… Listening… Add a Natural, Human Touch with Cognitive Services Speech Speech-to-text and text-to-speech service Convert this text to speech please… Listening… Object recognition… Vision Computer Vision Listening…
- 34. Agent Applications Services Infrastructure Microsoft AI Portfolio Cortana Office 365 Dynamics 365 SwiftKey Pix Customer Service and Support Skype Calendar.help Cortana Intelligence Cognitive Services Bot Framework Cortana Devices SDK Cognitive Toolkit Azure Machine Learning Azure N Series FPGA People
- 35. 立即可用的全通路功能 智慧型預測 產品推薦 強化門市體驗 輕鬆部署與整合 ? 2017 Microsoft Corporation. 著作權所有，並保留一切權利。 本文件係依「現狀」提供。文件中提及的資訊及觀點 (包括 URL 及其他網際網路網站參考) 如有變更，恕不另行通知。使用本文件的風險係由個人承擔。 本文件並未提供任何 Microsoft 產品之智慧財產的合法使用權。本文件可供個人複製以用於內部參考用途。某些範例僅供說明之用，純屬虛構，並非影射任何真實的對象。 Microsoft 可提供零售商所需的工具來協助其加快業務執行速度， 進而超越客戶期望，並於今日的競爭環境中搶得先機。 零售用 Dynamics 365 是專為零售商所打造的端對端全通路解決 方案。它可透過整合式平台彙整未連線的資料倉儲，並集中處理 各個層面的業務營運，從行銷到現代化銷售點，皆可一手包辦。 這個解決方案能與現有系統輕鬆整合並迅速部署，以加快實現價 值的速度。它將隨著零售商拓展全球營運版圖，協助其因應多通 路、語言、貨幣和法律實體所衍生的複雜度。這個解決方案坐擁 Microsoft Cloud 的強大威力和彈性，可望協助零售商迅速因應 瞬息萬變的商務需求。 深入了運用零售用 Dynamics 365 推動企業轉型
- 36. A Business in Transformation
- 37. Microsoft IoT Central Azure IoT Edge + Azure IoT Suite
- 38. Microsoft IoT Central IoT SaaS Microsoft Connected Field Service Field Service SaaS Azure IoT Suite Remote Monitoring Predictive Maintenance Connected Factory Device Support Edge Support IoT Services Data & Analytics Services Visualization & Integration Services Azure IoT Device SDKCertified Devices Azure Certified for IoT Security Program For Azure IoT Windows 10 IoT Core Azure IoT Edge Azure IoT Hub Azure IoT Hub Device Provisioning Service Azure Stream Analytics Azure Time Series Insights Azure Machine Learning Cosmo DB Azure HD Insights, Spark, Storm Kafka Azure Event Hub Azure Data Lake Analytics Azure Data Lake Microsoft Flow Azure Logic Apps Notification Hub Azure Websites Microsoft Power BI Azure Active Directory Azure Monitor
- 40. Partnership is Our Proud Differentiation ML POC Platform Migration Repeatable Sale Pilot Implementation Migration & Expansion Re-sell/Co-sell Stage Engagement Phases Time Partner Topline Projection Milestone A PaaS/IaaS Migration Milestone B SEA Expansion Machine Learning PaaS/IaaS Migration Next Gen Device & IoT Hub .Data migration onto SQL Azure (extract, cleanse, load) .ML additional features .Converge core operation platform on Azure .Continuous updates to ML and BI embedded to support usage .Historical data ETL .Data Scientist .Partner DevOps .Partner feature implementation .Prelim assessment .Partner leadership buy-in .3G operator rate plan . ARM and x86 cores . Gaps in device mgmt. & provisioning . Server and service migration .Traffic manager . Azure SQL – Link to ML modules . Process for update, dev and production update roll-out . Next gen Win10IoT in various platforms . IoT Hub/Event Bus and front end device management trials (Corp product schedule dependent) . Local certification assistance . Multi-tenant operation platform . Multi-factor authentication Illustration Purpose Only
- 41. Next steps ? Developer ? Build your Edge to connect IoT Hub ? Attach your device onto IoT Central ? Decision maker ? Understand Azure IoT, AI and Dynamic 365 roles in transformation ? Work with Microsoft for a jumpstart ? Azure IoT Edge – http://aka.ms/iot-edge ? Azure Toolkit for Azure IoT Edge Here ? Azure IoT Central - http://aka.ms/iot-central ? Learn more about our vision for digital transformation at microsoft.com/retail