Understanding the latent value in all content

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2 Understanding the latent value in all content

3 John F. Kennedy (JFK) November 22, 1963

4 INGEST ENRICH EXPLORE Cognitive skills Data in any format, any Azure store Search Annotations

5 Data Cloud Intelligence

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7 Microsoft AI Platform Azure AI Services Tools Azure Infrastructure

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11 Thousands of partners sign in to our platform every hour. The response time from the Face API is incredible, enabling us to verify our drivers without slowing them down. Dima Kovalev, Product Manager, Uber Face API Read Case Study Here See Video Here

12 Azure Machine Learning AZURE MACHINE LEARNING SERVICES TRAIN & DEPLOY OPTIONS AZURE Spark SQL Server Virtual machines GPUs Container services Experimentation and Model Management ON- PREMISES SQL Server Machine Learning Server Notebooks IDEs Azure Machine Learning Workbench EDGE COMPUTING Azure IoT Edge

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15 Connected Drone SOI Architecture 1. Images of a given inspection are ingested and stored through Azure Web App micro-services 2. Once ingested, there is a call to an Azure Function to trigger the Intelligent Functions 3. The Azure Function splits the images in Docker tasks allocated through Azure Batch Shipyard 4. The Azure Batch pools auto-scale depending on the number of tasks 5. Once processed the results are sent to Azure CosmosDB

16 Benefits of the architecture 1. Elastic Scale - the solution scales from 0 to 1000s cores in <15 minutes using the Azure Batch auto-scale formula 2. Performance with 1000 cores, including 60 GPU nodes and 500 CPU nodes the system can process 180k images/hour (human 50k/year) 3. Cost Effectiveness we only pay for the compute we are using 4. Containerization intelligent functions run isolated from each other 5. Extensibility - adding a new intelligent function in the system is plug-&-play

17 Microsoft AI Platform Azure AI Services Tools Azure Infrastructure

18 Azure Data Product Strategy Modernize/Expand SQL Lift & Shift and SaaS New Globally Dist. Apps Analytics Modernize applications with the cloud of your choice DBaaS for lift & shift and modern applications Build new, globally-distributed, cloud-native applications Modern data warehouse leveraging OSS and governance Products SQL Server Azure SQL DB Azure MySQL Azure PostgreSQL Azure MariaDB Azure Cosmos DB Azure SQL DW Azure Data Factory Azure Databricks Azure Stream Analytics Azure HD Insight Azure Data Lake Azure Data Catalog Power BI Benefits Choice of OS, dev environment Choice of deployment Lowest TCO Strongest security Best performance Fully managed database services Intelligence, perf, scale, HA built in Advanced security Most compliant Choice of RDBMS flavors Global distribution Elastic scalability of storage and throughput Single digit latency guaranteed, leading SLAs 5 consistency models Global scale Security & privacy Best of Open Source & Microsoft AI Innovation Deploy ML models on premises, in the cloud or on the edge Multi-model + support of most popular APIs Scenarios: Modern Data Warehouse, Advanced Analytics on Big Data, Realtime Anaylicts

19 What we have to offer Choice Choice of tools, languages, and relational & NoSQL databases, on any mix of public or private clouds Extensibility & Integration Leading compute to data shift, focused on intelligence, letting others improve our platform Market Leading Scale Extreme size and truly elastic Data Platform across Data Warehouses and Big Data

20 SQL Server 2017 Industry- leading performance and security now on Linux and Docker Choice of platform and language Industry-leading performance Most secure over the last 7 years Only commercial DB with AI built-in End-to-end mobile BI on any device $2,230 T-SQL Java C/C++ C#/VB.NET PHP Node.js Python Ruby 1/10 #1 OLTP performance #1 DW performance Vulnerabilities ( ) R R and Python + in-memory at massive scale Self-service BI per user $480 $120 Microsoft Tableau Oracle #1 price/performance Native T-SQL scoring A fraction of the cost In-memory across all workloads Private cloud Most consistent data platform Public cloud

21 Azure Cosmos DB Microsoft s globally distributed, massively scalable, multi-model database service Table API ANSI SQL Column-family Document Key-value Graph Elastic scale out of storage & throughput Guaranteed low latency at the 99 th percentile Five well-defined consistency models Turnkey global distribution Comprehensive SLAs

22 What is Azure Databricks? A fast, easy and collaborative Apache Spark based analytics platform optimized for Azure 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)

23 Microsoft AI Platform Azure AI Services Tools Azure Infrastructure

24 Azure Machine Learning Workbench

25 Azure AI Services Tools Azure Infrastructure

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