1. Age of Azure Machine Learning Revolution Pablo Maceiras @P_maceiras.NET Conf UY v2015

3. Age of Azure Machine Learning Revolution Pablo Maceiras @P_maceiras.NET Conf UY v2015

5. Agenda

6. Banking!

7. Desafío de Marketing de Gestión de Campañas Omni- canal

9. Omni- Virtual Customer Profile

10. Challenges of applying ML Concept Confusion BI Data Mining Machine Learning Pattern Matching Big Data Analytics Etc. ML algorithm selection Context set up Etc.

11. Evolve: Part I - Data Data Factory Data Catalog Event Hubs

12. Data Factory Zoom-In

14. Evolve: Part II – Big Data Azure SQL Data Warehouse Azure Data Lake

15. Evolve: Part III – ML on Data See (Face) Hear (Speech) Read (Text)

16. Evolve: Part IV – Analyze and Predict Machine Learning HDInsight (Hadoop) Azure Stream Analytics

17. Evolve: Part IV – Visualize & Act Cortana Dashboards / Power BI Business Scenarios

19. Evolve: Final – Cortana Analytics

20. Cortana Analytics Predict Prescribe Recommendations Alerts Automate

21. Real Case Product

22. IC Campaigns – Segmentation Approaches + Rule Matching + A/B Testing + Machine Learning

23. IC Campaigns – Challenges + Hide model selection from user? + Hide parameters from user? + Clean and set up data?

24. What is the Infinity Gauntlet then? Good Data Interpret and analyze results Reliability / failure tolerance Cost Timing

25. The Dream

27. Age of Azure Machine Learning Revolution Pablo Maceiras @P_maceiras.NET Conf UY v2015