Age of Azure Machine Learning Revolution Pablo Conf UY v2015.

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Presentation transcript:

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