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Microsoft Power BI: AI Powered Analytics

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Microsoft Power BI: AI Powered Analytics

  1. 1. Microsoft Power BI: AI Powered Analytics
  2. 2. Juan Alvarado MVP Data Platform MVP Data Platform . 25 años como DBA y Developer BI Especilista de SQL Server, Power BI, Analysis services y Azure /juan.m.alvarado @juanbizzz Juan Alvarado juanbizzz@outlook.com Medium.com/@juanbizzz Consultor de SAP Hana , SAP ASE y Oracle Essbase
  3. 3. Agenda Overview of AI in Power BI Investment areas Personas and capabilities Analyst toolkit Automated ML Cognitive services Roadmap End User Insights AI visualizations Natural language capabilities Roadmap
  4. 4. dashboard
  5. 5. 6
  6. 6. AI en Power BI CAPABILITIES • Quick Insights • Q&A • AI Visualizations CAPABILITIES • Sentiment analysis • Key phrase extraction • Image Detection CAPABILITIES • Predictions • Classifications • Regression • Forecasting LANGUAGES • R • Python INTEGRATION • Azure ML • Azure Frameworks
  7. 7. AI en Power BI CAPABILITIES • Quick Insights • Q&A • AI Visualizations CAPABILITIES • Sentiment analysis • Key phrase extraction • Image Detection CAPABILITIES • Predictions • Classifications • Regression • Forecasting LANGUAGES • R • Python INTEGRATION • Azure ML • Azure Frameworks
  8. 8. Export model Coming soon New action to enable export of model to Jupyter notebook or Azure Notebooks To Jupyter notebook To Azure notebook
  9. 9. TrainedMay 28, 2019 5:18 pm… Delete model Export model Coming soon New action to enable export of model to Jupyter notebook or Azure Notebooks
  10. 10. Opportunity Scoring Coming soon Ability to export Automated ML models created in Power BI to Jupyter notebooks or Azure Notebooks.
  11. 11. Integration with Azure ML and Cognitive Services GA Announcing
  12. 12. Demo: Cognitive Services
  13. 13. Cognitive service cheat sheet Cognitive services in Power BI Cognitive services in Azure Designed for the business analyst/BI professional Designed for for the data scientist/data engineer Skillset required is Power Query and Power BI dataflows (OOB point and click functions, M code) Skillset required is Azure, coding language (C#, Java, Node.js, Python) Lives completely inside Power BI and can only be used by Power BI Live in Azure and can be consumed as a webservice by lots of different applications Require Power BI Premium and utilizes capacity Require an Azure subscription and utilizes Azure consumption
  14. 14. Insights for Business Users CAPABILITIES • Quick Insights • Q&A • AI Visualizations CAPABILITIES • Sentiment analysis • Key phrase extraction • OCR, Text Translations CAPABILITIES • Predictions, Classifications, • Forecasting, Clustering, • Recommendations LANGUAGES • R • Python INTEGRATION • Azure ML • Azure Frameworks
  15. 15. Demo: Key Influencers
  16. 16. Demo: Q&A
  17. 17. Natural Language Generation
  18. 18. Natural Language Generation
  19. 19. Distribution Changes Visualization
  20. 20. Q&A

Notas del editor

  • [Moderator Part]
    Esta sesión es presentada por Juan Alvarado. Juan es MVP de de Data Platform durante 11 años consecutivos. Consultor de tecnologias de SQL Server, Power BI, Project, Azure , Azure Data Lakes y Office 365. Certificado en SQL y Sharepoint. Consultor certificado sobre Sap HANA y Oracle. Especialidades: SQL SERVER, Business Intelligence, Powerpivot ,Project Server, Sharepoint, BPM, entre otras

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