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Advanced Analytics and Artificial Intelligence - Transforming Your Business Through Data Driven Insights and Action

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Recent advances in AI have incredible potential and they are already fundamentally changing our lives in ways we couldn’t have imagined even five years ago. And yet, AI is also probably one of the least understood technological breakthroughs in modern times. Come to this event to learn about breakthrough advances in AI and the power of the cloud, and how Microsoft provides a flexible platform for you to infuse intelligence into your own products and services. Microsoft empowers you to transform your business, uniquely combining AI innovation with a proven Enterprise platform, deriving intelligence from a wide range of data relevant to your business no matter where it lives.

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Advanced Analytics and Artificial Intelligence - Transforming Your Business Through Data Driven Insights and Action

  1. 1. Transforming your business through data driven insights and action - with Azure Advanced Analytics and Artificial Intelligence David J. Rosenthal VP & GM, Digital Business & Microsoft Partner Commercial Executive Microsoft MTC New York City September 18, 2018
  2. 2. Agenda What is Business Analytics & AI? Why Azure? What is the lowest risk path to Azure AA & AI? How can Microsoft and Razor Technology help? What are others saying? How do you participate?
  3. 3. DataCloud Intelligence
  4. 4. 1920 1980s 2010s 2020s Source: Yale Professor Richard Foster Average lifespan of a company on S&P 500
  5. 5. Cognitive understanding Conversation as a platform
  6. 6. $100MThe most digitally transformed enterprises generate on average $100 million in additional operating income each year Source: Keystone Strategy 2016 businesses commercializing data by 2020 10% higher average net income on revenue more revenue per employee operating marginNEARLY DOUBLE $40k 50%+
  7. 7. Apps + insights Social LOB Graph IoT Image CRM Cloud On-premises Edge A I B U I LT - I NFA S T & A G I L E E N T E R P R I S E P R O V E N
  8. 8. Azure AI Services Azure Infrastructure Tools
  9. 9. Azure Machine Learning Cognitive Services Bot Service
  10. 10. { Your Code } Direct Line Protocol REST Endpoint
  11. 11. Bot builder Platform Intelligence
  12. 12. Vision Speech KnowledgeLanguage LabsSearch
  13. 13. Spark SQL Server Virtual machines GPUs Container services Notebooks IDEs Azure Machine Learning Workbench SQL Server Machine Learning Server O N - P R E M I S E S E D G E C O M P U T I N G Azure IoT Edge Experimentation and Model Management A Z U R E
  14. 14. Local machine Scale up to DSVM Scale out with Spark on HDInsight Azure Batch AI (Coming Soon) ML Server Command line tools IDEs Notebooks in Workbench VS Code Tools for AI
  15. 15. Single node deployment (cloud/on-prem) Azure Container Service Azure IoT Edge Microsoft ML Server Spark clusters SQL Server
  16. 16. Innovation up and costs down with move to Azure Benefits realized Reduced total annual costs, including maintenance and depreciation, by about 45% by migrating to Azure Used services like Azure Machine Learning and Azure Cognitive Services to spur digital innovation and boost customer engagement Read more “With the hybrid environment, we have the flexibility to place our applications and data on the appropriate cloud, based on our business, technology, and regulatory needs. Because we can manage our standard and legacy platforms as a single entity, we can continue our migration over time as applications evolve and our needs change.” Tan Kok Meng, Chief Information Officer Malaysia Airlines
  17. 17. AI core infrastructure AI compute AI on data
  18. 18. Best of Databricks Best of Microsoft Designed in collaboration with the founders of Apache Spark One-click set up; streamlined workflows Interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. Native integration with Azure services (Power BI, SQL DW, Cosmos DB, Blob Storage) Enterprise-grade Azure security (Active Directory integration, compliance, enterprise -grade SLAs)
  19. 19. Optimized Databricks Runtime Engine DATABRICKS I/O SERVERLESS Collaborative Workspace Cloud storage Data warehouses Hadoop storage IoT / streaming data Rest APIs Machine learning models BI tools Data exports Data warehouses Azure Databricks Enhance Productivity Deploy Production Jobs & Workflows APACHE SPARK MULTI-STAGE PIPELINES DATA ENGINEER JOB SCHEDULER NOTIFICATION & LOGS DATA SCIENTIST BUSINESS ANALYST Build on secure & trusted cloud Scale without limits
  20. 20. Microsoft Azure Databricks “At Lennox International, we have 1000’s of devices streaming data back into our IoT environment. With Azure Databricks, we moved from 60% accuracy to 94% accuracy on detecting equipment failures. Using Azure Databricks has opened the flood gates to all kinds of new use cases and innovations. In our previous process, 15 devices, which created 2 million records, took 6 hours to process. With Azure Databricks, we are able to process 25,000 devices – 10 billion records – in under 14 minutes.” Lennox International is a global leader in the heating, air conditioning, and refrigeration markets. Sunil Bondalapati, Director of IT, Lennox International
  21. 21. Open deep learning framework support Visual Studio Tools for AI Azure Machine Learning Workbench Azure Machine Learning Studio
  22. 22. Visual Studio extension with deep integration to Azure ML End to end development environment, from new project through training Support for remote training Job management On top of all of the goodness of Visual Studio (Python, Jupyter, Git, etc)
  23. 23. Windows and Mac based companion for AI development Full environment set up (Python, Jupyter, etc) Embedded notebooks Run History and Comparison experience New data wrangling tools
  24. 24. Platform for emerging data scientists to graphically build and deploy experiments • Rapid experiment composition • > 100 easily configured modules for data prep, training, evaluation • Extensibility through R & Python • Serverless training and deployment Some numbers: • 100’s of thousands of deployed models serving billions of requests
  25. 25. INGEST STORE PREP & TRAIN MODEL & SERVE Azure Blob Storage Logs (unstructured) Azure Data Factory Azure Databricks Microsoft Azure also supports other Big Data services like Azure HDInsight and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs. Media (unstructured) Files (unstructured) PolyBase Business/custom apps (structured) Azure SQL Data Warehouse Azure Analysis Services Power BI
  26. 26. INGEST STORE PREP & TRAIN MODEL & SERVE Cosmos DB Business/custom apps (structured) Files (unstructured) Media (unstructured) Logs (unstructured) Azure Blob StorageAzure Data Factory Azure SQL Data Warehouse Azure Analysis Services Power BI PolyBase SparkR Azure Databricks Microsoft Azure also supports other Big Data services like Azure HDInsight, Azure Machine Learning and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs. Apps
  27. 27. INGEST STORE PREP & TRAIN MODEL & SERVE Sensors and IoT (unstructured) Apache Kafka for HDInsight Cosmos DB Files (unstructured) Media (unstructured) Logs (unstructured) Azure Blob StorageAzure Data Factory Azure Databricks Real-time apps Business/custom apps (structured) Azure SQL Data Warehouse Azure Analysis Services Power BI Microsoft Azure also supports other Big Data services like Azure IoT Hub, Azure Event Hubs, Azure Machine Learning, and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs. PolyBase
  28. 28. demo
  29. 29. Intelligent Trusted Flexible
  30. 30. 95% Customer interactions powered by AI bots including telephone and online by 2025 Engage customers Build a loyal customer base with a 24/7 customer-centric approach to your business Empower employees Increase employee productivity and allow for focus on innovation by freeing up time through automation
  31. 31. Customer need Impact
  32. 32. 75% Applications including AI By 2018, 50% of apps will include some form of AI App innovation Infuse AI into existing apps to improved user experience Knowledge extraction Backend-infused applications will leverage latent value in content
  33. 33. Customer need Impact
  34. 34. 85% Enterprises embracing AI By 2020, 85% of Enterprises will be using AI on at least one process Financial Services Risk Analytics Fraud Prevention Customer Next Best Action Retail Personalization Dynamic pricing Advanced retail planning Manufacturing Predictive Maintenance Operations Automation Fleets management
  35. 35. Banking Health Retail Telco Manufacturing Sales Marketing Customer service HR Finance Industry verticals Business processes
  36. 36. Learning Objectives Understand what Advanced Analytics and AI is and learn about potential use cases in your organization Learn how to build on the skills you already have to get started with AA and AI Learn about Microsoft’s comprehensive portfolio of AA & AI products and solutions to create innovative AI applications Discover what tools, guidance and offers are available to help you infuse intelligence into your products and services with confidence
  37. 37. Azure AI Services Azure Infrastructure Tools
  38. 38. 1 2 3 Learn about Microsoft AA + AI products Start your AA + AI project, leverage our expertise Check out the Azure AI Gallery for analytics solution templates https://gallery.azure.ai//https://docs.microsoft.com/ en-us/azure/#ai <insert your URL>
  39. 39. © 2018 Razor Technology, LLC www.razor-tech.com @DavidJRosenthal Slideshare www.razor-tech.com 5 Tower Bridge 300 Barr Harbor Dr., Suite 705 West Conshohocken, PA 19428 www.razor-tech.com David.Rosenthal@razor-tech.com Cell: 215.801.4430 Office: 866.RZR.DATA LETS KEEP IN TOUCH

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