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4th Industrial Revolution
Here are the key insights from analyzing vehicle telemetry data with Cortana Intelligence: - Predictive maintenance - Analyze sensor data to predict which parts will likely need replacement so maintenance can be scheduled proactively - Insurance optimization - Compare actual vehicle usage to insurance thresholds to potentially lower premiums - Location services - Leverage real-time location data from connected vehicles for services like local breakdown assistance - Fuel efficiency - Compare reported to actual MPG to identify driving behaviors impacting efficiency and advise drivers - Quality control - Analyze engine sensor data to pinpoint parts not meeting specifications and improve manufacturing processes - Emissions monitoring - Monitor emissions levels from connected vehicles to ensure compliance with regulations and advise drivers if issues
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4th Industrial Revolution
- 1. Rolando Rangel, DPSA,MCSE Data Platform Solution Architect Twitter @RolandBenRangel Rolando.Rangel@Microsoft.com Cortana Intelligence in the 4th Industrial Revolution
- 2. Some innovations fundamentally disruptthe economic landscape 1st Industrial Revolution 1760-1840 1870-1940 1950+ 2nd Industrial Revolution 3rd Industrial Revolution
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- 7. In the 4thIR Global Businesses are being transformed by three trends IntelligenceCloudBig Data
- 8. We now facea world of connected data 1985 1990 1995 2000 2005 2010 2015 2020 CONNECTED DIGITAL ANALOG
- 9. Data is akey strategic asset $ 1.7TAdditional business value captured by companies that are leaders in using data assets to their advantage Source: IDC, 2014 10%Percent of organizations expected to have a highly profitable business unit specifically for productizing and commercializing their data by 2020 Source: Gartner, 2016
- 10. The cloud offerslimitless computing power Speed EconomicsScale
- 11. Differentiate with intelligentsolutions • See and identify objects, people and actions • Hear and recognize language • Learn and develop greater understanding over time • Perceive emotions and reactions Cognitive Understanding Intelligent Bots • Complete tasks • Predict outcomes and make adjustments • Monitor and alert automatically • Get things done in proactive, natural ways
- 12. 67 Years 25 Years 15 Years The time toadapt to disruptions is shrinking Source: BBC A hundred years ago, the average lifespan of a company listed on the S&P 500 index was 67 years 75% of the S&P 500 will be new (not on the index today) 25% of the S&P 500 will be ones on the index today In the 2020s… Video
- 13. Hyper scale Infrastructureis the enabler 100+ Datacenters across 34 Regions (22 Generally Available) Worldwide Top 3 networks in the world 2.5x AWS, 7x Google DC Regions G Series – Largest VM in World, 32 cores, 448GB Ram, SSD… Operational Announced/Not Operational Central US Iowa West US California East US Virginia US Gov Virginia North Central US Illinois US Gov Iowa South Central US Texas Brazil South Sao Paulo State West Europe Netherlands China North * Beijing China South * Shanghai Japan East Tokyo, Saitama Japan West Osaka India South Chennai East Asia Hong Kong SE Asia Singapore Australia South East Victoria Australia East New South Wales India Central Pune Canada East Quebec City Canada Central Toronto India West Mumbai Germany North East ** Magdeburg Germany Central ** Frankfurt North Europe Ireland East US 2 Virginia United Kingdom RegionsUnited Kingdom Regions US DoD East TBD US DoD West TBD * Operated by 21Vianet ** Data Stewardship by Deutsche Telekom
- 14. Microsoft’s network isone of the two largest in the world (the other one is the US Government)
- 15. Platform Services Infrastructure Services WebApps Infrastructure Mobile Apps Backends API Management API Apps Infrastructure Business Process Automation -Logic Apps Push Notifications -Notification Hubs Content Delivery Network (CDN) Live & OD Media Streaming –Media Services B2B Integration -BizTalk Services Hybrid Connections Pub/Sub Queuing -Service Bus Simple Queuing –Storage Queues Hybrid Operations Server Data Backup Hybrid/Intelligent Data Backup –StorSimple Disaster Recovery –Azure Site Recovery Bulk Data Import And Export Relational SQL Database Document Database Service –DocumentDB Distributed In-Memory Cache –Redis Cache Azure Search Simple Key/Value Store –Storage Tables Data Warehouse Azure AD Health Monitoring AD Privileged Identity Management Operational Analytics Stateless Compute –Cloud Services Scheduled Compute Jobs –Batch Virtual App Streaming –RemoteApp Distributed Compute –Service Fabric Development Tools –Visual Studio Application Instrumentation –App Insight Software Development Kits –Azure SDK Software Lifecycle Management –Visual Studio Online Domain Join & Policy Management –Domain Services Big Data Analytics –HDInsight Predictive Analytics –Machine Learning Data Stream Analytics Data Pipelines –Data Factory Device Data Collection –Event Hubs Mobile Analytics –Mobile Engagement Big Data Storage –Data Lake IoT Device Management –IoT Hub Data Source Management –Data Catalog Security & Management User/Group Directory Store –Azure Active Directory Multi-Factor Authentication Scheduled Service Management –Automation Service Creation & Configuration –Portal Encryption Key Store –Key Vault Software/Solution Marketplace Pre-Build VM Images –VM Image Gallery & VM Depot Identity Sign-Up and sign-in –Azure AD B2C Task Scheduler –App Gateway–Traffic Manager–Express Route–Premium Storage–Azure Files–BLOB Storage–Virtual Machines –Container Service
- 16. WATCH VIDEO Cortana IntelligenceVehicle Telemetry Demo WATCH VIDEO
- 18. Cortana Intelligence Suite Transformdata into intelligent action Data Sources Apps Sensors & Devices People Data Intelligence Cortana Intelligence Action Apps Automated systems
- 19. Intelligence Cortana Cognitive Services Bot Framework Preconfigured Solutions Dashboards andVisualizations Machine Learning and Analytics Big Data Store Information Management Cortana Intelligence Suite Transform data into intelligent action
- 20. Easily turn datainto intelligent action Action People Automated Systems Apps Web Mobile Bots Intelligence Dashboards & Visualizations Cortana Bot Framework Cognitive Services Power BI Information Management Event Hubs Data Catalog Data Factory Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Intelligence Data Lake Analytics Machine Learning Big Data Stores SQL Data Warehouse Data Lake Store Data Sources Apps Sensors and devices Data
- 21. Easily turn datainto intelligent action Action People Automated Systems Apps Web Mobile Bots Dashboards & Visualizations Cortana Bot Framework Cognitive Services Power BI Information Management Event Hubs Data Factory Machine Learning and Analytics Stream Analytics Intelligence Machine Learning Big Data Stores SQL Data Warehouse Sensors and devices Data
- 22. Opportunities exist acrossfunctional areas EXAMPLE SOLUTIONS
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- 24. Compose and orchestratedata services at scale INGEST SQL <> SQL DATA SOURCES { } SQL • Create, schedule, orchestrate, and manage data pipelines • Visualize data lineage • Connect to on-premises and cloud data sources • Monitor data pipeline health • Automate cloud resource management • Move relational data for Hadoop processing • Transform with Hive, Pig, or custom code Information Management Event Hubs Data Catalog Data Factory
- 25. Get more valuefrom your enterprise data assets Information Management Event Hubs Data Catalog Data Factory • Spend less time looking for data, and more time getting value from it • Register enterprise data sources, discover data assets and unlock their potential, and capture tribal knowledge to make data understandable • Bridge the gap between IT and the business, allowing everyone to contribute their insights, tags, and descriptions • Intuitive search and filtering to understand the data sources and their purpose • Let your data live where you want; connect using tools you choose • Integrate into existing tools and processes with open REST APIs
- 26. Ingest events fromwebsites, apps and devices at cloud scale • Log millions of events per second in near real time • Connect devices using flexible authorization and throttling • Use time-based event buffering • Get a managed service with elastic scale • Get a managed service with elastic scale • Reach a broad set of platforms using native client libraries • Pluggable adapters for other cloud services Azure API Management Backend Services Data Information Management Event Hubs Data Catalog Data Factory Data sources Apps Sensors and devices Event Hubs SQL Database Machine Learning HDInsightStorage Power BIStream Analytics
- 27. Big Data Stores BigData Stores SQL Data Warehouse Data Lake Store Data Sources Apps Sensors and devices Data Information Management Event Hubs Data Catalog Data Factory
- 28. A hyper-scale repositoryfor big data analytics workloads • A Hadoop Distributed File System for the cloud • No fixed limits on file size • No fixed limits on account size • Unstructured and structured data in their native format • Massive throughput to increase analytic performance • High durability, availability, and reliability • Azure Active Directory access control LOB Applications SocialDevices Clickstream Sensors Video Web Relational HDInsight ADL Analytics Machine Learning Spark R ADL Store Big Data Stores SQL Data Warehouse Data Lake Store
- 29. Elastic data warehouseas a service with enterprise-class features • Petabyte scale with massively parallel processing • Independent scaling of compute and storage—in seconds • Transact-SQL queries across relational and non-relational data • Full enterprise-class SQL Server experience • Works seamlessly with Power BI, Machine Learning, HDInsight, and Data Factory Power BI App Service SQL Database SQL Data Warehouse Machine Learning Hadoop Intelligent App Big Data Stores SQL Data Warehouse Data Lake Store
- 30. Machine Learning andAnalytics Big Data Stores SQL Data Warehouse Data Lake Store Data Sources Apps Sensors and devices Data Intelligence Information Management Event Hubs Data Catalog Data Factory Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Data Lake Analytics Machine Learning
- 31. Easily build, deploy,and share predictive analytics solutions • Simple, scalable, cutting edge. A fully managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions. • Deploy in minutes. Azure Machine Learning means business. You can deploy your model into production as a web service that can be called from any device, anywhere and that can use any data source. • Publish, share, monetize. Share your solution with the world in the Gallery or on the Azure Marketplace. Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Data Lake Analytics Machine Learning
- 32. Big data analyticsmade easy • Analyze data of any kind and size • Develop faster, debug and optimize smarter • Interactively explore patterns in your data • No learning curve—use U-SQL, Spark, Hive, HBase and Storm • Managed and supported with an enterprise-grade SLA • Dynamically scales to match your business priorities • Enterprise-grade security with Azure Active Directory • Built on YARN, designed for the cloud Data Lake Analytics SQL DW SQL DB Storage BlobsData Lake Store SQL DB in a VM Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Data Lake Analytics Machine Learning
- 33. Comprehensive set ofmanaged Apache big data projects • Scale to petabytes on demand • Process unstructured and semi-structured data • Develop in Java, .NET, and more • Skip buying and maintaining hardware • Deploy in Windows or Linux • Spin up an Apache Hadoop cluster in minutes • Visualize your Hadoop data in Excel • Easily integrate on-premises Hadoop clusters Core Engine Batch Map Reduce Script Pig SQL Hive NoSQL HBase Streaming Storm In-Memory Spark Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Data Lake Analytics Machine Learning
- 34. Machine Learning and Analytics HDInsight (Hadoopand Spark) Stream Analytics Data Lake Analytics Machine Learning Real-time stream processing in the cloud • Perform real-time analytics for your Internet of Things solutions • Stream millions of events per second • Get mission-critical reliability and performance with predictable results • Create real-time dashboards and alerts over data from devices and applications • Correlate across multiple streams of data • Use familiar SQL-based language for rapid development Event Hubs Blob Storage Stream Analytics SQL Database Event Hubs Power BI Blob Storage Table Storage
- 36. Intelligence Intelligence Cortana Bot Framework Cognitive Services Big Data Stores SQLData Warehouse Data Lake Store Data Sources Apps Sensors and devices Data Information Management Event Hubs Data Catalog Data Factory Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Data Lake Analytics Machine Learning
- 37. Build applications thatunderstand people • Faces, images, emotion recognition and video intelligence • Spoken language processing, speaker recognition, custom speech recognition • Natural language processing, sentiment and topics analysis, spelling errors • Complex tasks processing, knowledge exploration, intelligent recommendations • Bing engine capabilities for Web, Autosuggest, Image, Video and News Intelligence Cortana Bot Framework Cognitive Services
- 38. Your bots –wherever your users converse Intelligence Cortana Bot Framework Cognitive Services • Bot Connector Service: A service to register your bot, configure channels and publish to the Bot Directory. Connect your bot(s) seamlessly to text/sms, Office 365 mail, Skype, Slack, Twitter, and more. • Bot Builder SDK: An open source SDK hosted on GitHub. Everything you need to build great dialogs within your Node.js or C# bot • Bot Directory: A public directory of bots registered through the Bot Connector Service. Discover, try, and add bots to conversation experiences
- 39. Get things donein more helpful, proactive and natural ways Here are some of the things I can help you with… Cortana for Consumers (today) With the Cortana Intelligence Suite Answers Public reference data answers – “How far is it from Los Angeles to San Francisco?” Answers from organizational data in Power BI “What were our biggest deals that closed last month?” Predictions Event predictions – “Who do you think is going to win the Germany Italy game?” Integration with prediction solutions “Which of our customers are most likely to churn in the next quarter?” Monitoring & Alerts Flight status, traffic conditions, changes in weather, … Monitoring KPIs and preemptive alerting “Alert me if this customer ever has a 90% chance of churn in the next 30 days” Task Completion Setting reminders, scheduling meetings, getting directions, … Line of business process integration Assistance with expense report submission on-time within policy Intelligence Cortana Bot Framework Cognitive Services
- 40. Dashboards & Visualizations Dashboards& Visualizations Power BI IntelligenceInformation Management Big Data Stores Machine Learning and Analytics CortanaEvent Hubs HDInsight (Hadoop and Spark) Stream Analytics Data Intelligence Bot Framework SQL Data WarehouseData Catalog Data Lake Analytics Data Factory Machine Learning Data Lake Store Cognitive Services Data Sources Apps Sensors and devices Data
- 41. Keep a pulseon your business with live, interactive dashboards Event Hubs Stream Analytics Machine Learning Storage SQL database HDInsight Power BI Power BI • Analytics for everyone, even non-data experts • Your whole business on one dashboard • Create stunning, interactive reports • Drive consistent analysis across your organization • Embed visuals in your applications • Get real-time alerts when things change Power BI Dashboards & Visualizations Power BI
- 42. Transform data intointelligent action Intelligence Dashboards & Visualizations Information Management Big Data Stores Machine Learning and Analytics CortanaEvent Hubs HDInsight (Hadoop and Spark) Stream Analytics Data Intelligence Action People Automated Systems Apps Web Mobile Bots Bot Framework SQL Data WarehouseData Catalog Data Lake Analytics Data Factory Machine Learning Data Lake Store Cognitive Services Power BI Data Sources Apps Sensors and devices Data
- 44. Turning telemetry datafrom vehicles into insight What parts need maintenance first on all Ford F-150’s sold? Are there any vehicles below the insurance price break threshold? Show me the location of all vehicles within 50mi of my location How does the reported MPG compare to actual MPG? What parts of the engine are not meeting requirements? What is the emissions status of vehicle B204?
- 45. Example of CortanaIntelligence Suite in action Data Sources Ingest Prepare Analyze Publish Consume Sensors and devices Stream Analytics Machine Learning Cortana Business apps SQL Data Warehouse Diagnostic Streaming Power BI Enterprise data sources Azure Blob storage Data Factory: Move data, orchestrate, schedule and monitor Data Catalog: Register, annotate, understand, discover data sets HDInsight Event Hubs HDInsight Machine Learning Stream Analytics
- 46. With Cortana Intelligence,better predict needs and trends The front brakes are needing to be serviced sooner than expected 3 vehicles have daily mileage that qualify them for reduced rates 24 vehicles are shown on a map, showing status Tow truck is on its way to vehicle B204 14/15 vehicles meet standards and 1 is scheduled for maintenance Temperature is beyond the ideal range for 13 vehicles Vehicle B204 is driving in eco-mode 78% of the time
- 48. Explore new business opportunities ThyssenKruppElevator develops new services capabilities “We wanted to go beyond the industry standard of preventative maintenance, to offer predictive and even preemptive maintenance.” Andreas Schierenbeck CEO, ThyssenKrupp Elevator Scenario Variable elevator uptime | The need for competitive differentiation Solution Several Azure technologies, including Machine Learning, that enable monitoring via a real-time dashboard and that instruct technicians on optimal maintenance activities through dynamic predictive models Result • Increased elevator uptime • Reduced costs for ThyssenKrupp and its customers • Rich, real-time data visualization and awareness of issues • The ability offer predictive maintenance services for customers around the globe
- 49. © 2016 MicrosoftCorporation. All rights reserved.