[第43回 Machine Learning 15minutes! × 2] Azure AI Updates
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[第43回 Machine Learning 15minutes! × 2] Azure AI Updates https://satonaoki.wordpress.com/2020/01/27/ml15min-azure-ai-updates/ 第43回 Machine Learning 15minutes! × 2 (2020/01/25) https://machine-learning15minutes.connpass.com/event/154965/
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Azure AI Updates](https://image.slidesharecdn.com/20200125ml15minazureai-200125062441/85/43-machine-learning-15minutes-2-azure-ai-updates-1-320.jpg)
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[第43回 Machine Learning 15minutes! × 2] Azure AI Updates
- 1. [Machine Learning 15minutes! x 2 #43] Azure AI Updates
- 2. 90% reduced time from documents to insights $300K Cost savings per day 40x More insurance cases reviewed 200K Customers interacting with chatbots +20% Increase in customer satisfaction +32% Increase in sales
- 3. 20,000+ 85%
- 5. MSR Beijing MSR Cambridge MSR Redmond MSR Montreal MSR New EnglandMSR New York Fueled by Microsoft breakthrough research 96% on RESNET vision test 94.9% on Switchboard test 89.4% on Stanford CoQA test 69.9% with MT Research system 39.5 Teraflops with Intel Stratix 10 MSR India MSR Shanghai Machine translation human parity Object detection human parity Switchboar d Switchbo ard cellular Meeting speech IBM Switchboard Broadcast speech Speech recognition human parity Conversational Q&A human parity First FPGA deployed in a datacenter
- 6. 435K Ad Insight recommendations daily 1B PowerPoint Designer slides used Tested at scale in Microsoft solutions 80M Personalized experiences delivered daily Machine translation human parity Object detection human parity Switchboard Switchboard cellular Meeting speech IBM Switchboard Broadcast speech Speech recognition human parity Conversational Q&A human parity First FPGA deployed in a datacenter
- 7. AI apps & agents Knowledge miningMachine learning
- 8. AI apps & agents Knowledge miningMachine learning
- 9. For all skill levels TrustedIndustry leading MLOps Open & interoperable
- 10. For all skill levels Automated ML + drag & drop + code Industry leading MLOps Open & Interoperable Trusted
- 13. For all skill levels Industry leading MLOps Integrated with Azure DevOps Open & Interoperable Trusted
- 14. Powered by Azure Machine Learning
- 16. For all skill levels Industry leading MLOps Open & Interoperable Any toolkit, any framework Trusted
- 17. For all skill levels Industry leading MLOps Open & Interoperable Trusted Model explainability and fairness
- 19. IT + ML Engineer Data Scientist
- 21. Predictive maintenance Inventory management Intelligent recommendations Fraud detection Demand forecasting Sales forecasting
- 22. Stream processing Dashboard & application ApplicationData IoT Hub Device at well site Sensor data Data lake storage
- 23. Stream processing Dashboard & application Application Data lake storage Data IoT Hub Device at well site Azure Machine Learning Step 1 Build and train
- 24. Stream processing Dashboard & application Application Data lake storage Data IoT Hub Device at well site Azure Machine Learning Step 1 Build and train Step 2 Package and deploy
- 25. Stream processing Dashboard & application Application Data lake storage Data IoT Hub Device at well site Azure Machine Learning Step 1 Build and train Step 2 Package and deploy
- 26. Stream processing Dashboard & application Application Data lake storage Data IoT Hub Device at well site Azure Machine Learning Model telemetry data Step 1 Build and train Step 2 Package and deploy Step 3 Monitor
- 27. Stream processing Dashboard & application Application Data lake storage Data IoT Hub Device at well site Azure Machine Learning Model telemetry data Step 3 Monitor Step 2 Package and deploy Step 1 Build and train Sensor data
- 28. POS data Power BI Inventory ordering system Data Lake Storage Azure Synapse Analytics
- 29. Azure Machine Learning Step 1 Build and train POS data Power BI Inventory ordering system Data Lake Storage Azure Synapse Analytics
- 30. POS data Power BI Inventory ordering system Data Lake Storage Azure Synapse Analytics Azure Machine Learning Step 1 Build and train Step 2 Package and deploy
- 31. POS data Power BI Inventory ordering system Data Lake Storage Azure Synapse Analytics Azure Machine Learning Step 1 Build and train Step 2 Package and deploy Forecasting
- 32. Step 1 Build and train Step 2 Package and deploy Step 3 Monitor POS data Power BI Inventory ordering system Data Lake Storage Azure Synapse Analytics Azure Machine Learning Forecasting
- 33. AI apps & agents Knowledge miningMachine learning
- 34. Azure Bot ServiceAzure Cognitive Services 5 billion transactions a month 1 billion messages a month
- 35. Web search Enable your apps to see, hear, speak, understand, and interpret user needs Vision Speech Decision Language
- 36. Web search Vision Speech Decision Personalizer now GA Language
- 37. Web search Language Vision Speech Decision Personalizer Deep learning powered Sentiment Analysis 0.9 0.1 0.5 0.6
- 38. Web search Vision Speech Decision Personalizer Text Analytics D.O.B.: 08/04/57 Phone: 555-8367 Email: David@contoso.com Language New sentiment analysis model Industry-leading NLP capabilities
- 39. Web search Vision Speech Decision Personalizer X Y Introducing Form Recognizer Feedback Loop Language New sentiment analysis model 100+ new entity types
- 40. Kubernetes Web search Vision Speech Decision Personalizer “Kubernetes” CucumbersKubernetes Introducing Custom Speech with Office 365 data Language New sentiment analysis model 100+ new entity types Form Recognizer Feedback Loop
- 41. Web search Vision Speech Decision Personalizer Custom Speech with Office 365 data Introducing Custom Neural Voice capability Language New sentiment analysis model 100+ new entity types Form Recognizer Feedback Loop
- 42. Azure Bot ServiceAzure Cognitive Services 5 billion transactions a month 1 billion messages a month
- 44. Announcing new capabilities Build with most popular open source tools Deploy and manage across multiple channels
- 45. Announcing new capabilities Build with most popular open source tools
- 46. Announcing new capabilities Deploy and manage across multiple channels
- 47. Announcing new capabilities Power Virtual Agents Build with most popular open source tools Deploy and manage across multiple channels
- 49. Object detection Personalization Intelligent agents Intelligent customer support Sentiment analysis Robotic process automation
- 50. Client reports Feedback Loop Analytics dashboardForm Recognizer Data storeAzure Functions Business process
- 51. Azure Storage or file system Customer calls Speech to Text Text Analytics Sentiment Analysis Key Phrase Extraction Call intervention or escalations Batch processing Power BI App Portal Speech Real-time processing Named Entity Recognition
- 52. AI apps & agents Knowledge miningMachine learning
- 54. Eiffel Tower famous tower in Paris Keyword search Contextual search Eiffel Tower
- 55. Eiffel Tower Keyword search Contextual search Cognitive search Eiffel Tower famous tower in ParisEiffel Tower
- 56. Azure Search
- 57. Fully managed Built-in AI Uncover latent insights from all your content Customizable
- 58. Ingest Enrich New data sources TranslationNEW AML models contents 2 3 1 document primaryImage secondaryImage History Origin Construction Design Material Aesthetics Tourism Access Popularity
- 59. Ingest Background on Eiffel Tower Enrich Explore contents 2 3 1 document primaryImage secondaryImage History Origin Construction Design Material Aesthetics Tourism Access Popularity
- 61. Auditing and compliance Customer feedback analytics Technical content review Digital asset management Process management Catalog search
- 62. Key phrase extraction Language detection Automatic translation Named entity extraction Clause extraction Risk identifier Azure Web App Enrich Explore Cognitive skills Custom skills Azure Cognitive Search Search Index PDFs Ingest Images Azure Blob Storage
- 64. Ingest Explore Magazine metadata Magazine images Image tagging Geo-point extractor Custom object detector Similar image tagger Biography enricher Search Index Azure Web App Enrich Azure Cognitive SearchAzure Blob Storage
- 65. AI apps & agents Knowledge miningMachine learning