Age of Azure Machine Learning Revolution Pablo Conf UY v2015
Age of Azure Machine Learning Revolution Pablo Conf UY v2015
Agenda
Banking!
Desafío de Marketing de Gestión de Campañas Omni- canal
Omni- Virtual Customer Profile
Challenges of applying ML Concept Confusion BI Data Mining Machine Learning Pattern Matching Big Data Analytics Etc. ML algorithm selection Context set up Etc.
Evolve: Part I - Data Data Factory Data Catalog Event Hubs
Data Factory Zoom-In
Evolve: Part II – Big Data Azure SQL Data Warehouse Azure Data Lake
Evolve: Part III – ML on Data See (Face) Hear (Speech) Read (Text)
Evolve: Part IV – Analyze and Predict Machine Learning HDInsight (Hadoop) Azure Stream Analytics
Evolve: Part IV – Visualize & Act Cortana Dashboards / Power BI Business Scenarios
Evolve: Final – Cortana Analytics
Cortana Analytics Predict Prescribe Recommendations Alerts Automate
Real Case Product
IC Campaigns – Segmentation Approaches + Rule Matching + A/B Testing + Machine Learning
IC Campaigns – Challenges + Hide model selection from user? + Hide parameters from user? + Clean and set up data?
What is the Infinity Gauntlet then? Good Data Interpret and analyze results Reliability / failure tolerance Cost Timing
The Dream
Age of Azure Machine Learning Revolution Pablo Conf UY v2015