Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager

Transcription

1 Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager Jonathan Wexler Principal Product Manager Data Mining and Machine Learning SAS Steve Sparano Principal Product Manager SAS #AnalyticsX

2 About the presenters Jonathan Wexler, Principal Product Manager, SAS Responsible for SAS Enterprise Miner, SAS Factory Miner and related SAS Machine Learning products. He has a B.S. in Mathematics/Statistics and M.A. in Biostatistics. Steve Sparano, Principal Product Manager, SAS Responsible for SAS Decision Manager, SAS Event Stream Processing, and SAS Workflow automation capabilities. He has a B.S. in Business Management and Computer Science.

3 Agenda Automate your model development Streamline and action your analytics SAS Software Demo

4 Agenda Automate your model development Streamline and action your analytics SAS Software Demo

5 Scalable Analytics More Machine Learning Embedded Analytics Algorithms Combine Business Rules and Model Tournaments Models More Granular Segments Decisions at Build Once, Deploy Anywhere Scale Use ALL the Relevant Data Include More Attributes

6 Decisions at Scale Innovation Regulated Data Science Interactive Prepare Implement Automated Governed Iterative New data Explore Discovery Ask Deployment Act Robust Actions Fail Fast Decisions Experiments Leading Edge Model Evaluate Consistent Deep Learning Documented Data

7 Micro Segmentation DATA Summed customer transactions Customer type Community type Distance Creating a hierarchy of models, choosing the best model at each level Spend frequency

8 SAS Factory Miner #analyticsx

9 Extend Organizational Talent Pool Analytics Collaboration Data Science Superhero Business Analyst Uses model templates Data Miner Adapts model templates Data Scientist Builds model workflow templates

10 SAS Ecosystem Factory Miner Deployment Targets Batch DB, Hadoop Data Integration Ent Miner Open Source Decision Manager In Database Rules In Hadoop Micro Analytic Service Data Prep Analytical data preparation Batch Deployment Model Building Segmented Models Full-scale process flow Open Source Models Model Deployment Model Monitoring In-Database deployment Data driven Rules In-Stream

11 Agenda Automate your model development Streamline and action your analytics SAS Software Demo

12 Decision Management Decision Management is an approach for automating and improving high-volume operational decisions. ACCURATE SCALABLE GOVERNED Decision: Data Prep + Business Rules + Analytical Models + Optimization + Integration

13 Decisions The Evolution Of Decision Making GLOBAL OPERATIONS PRICING DECISIONS MARKETS STRATEGIC PRODUCT LINES OPERATIONAL

14 Evolving Environment of Data-Analytics-Processes #analyticsx Integration of Rules, Events, Models, Data Unified Decision Management platform Streaming Data Decision Management Pervasive Analytics Streamline decision deployment for multiple targets Real Time Business Processes

15 Deploy Internet of Things ANALYTICS LIFECYCLE: SENSE UNDERSTAND - ACT Data Data Storage f ETL Deploy Alerts / Reports/ Decisioning IoT Data Intelligent Filter / Transform Streaming Model Execution

16 Analytics Lifecycle Innovation Regulated Data Science Interactive Iterative New data Explore Prepare SAS Solution: Analytics Discovery Ask Implement Event Stream Processing Deployment Act Automated Governed Robust Actions Fail Fast Visual Analytics Experiments Visual Model Evaluate Decision Manager Decisions Consistent Deep Learning Documented Factory Miner Rules Management Data C o p y r ig ht 201 3, SAS In sti tute In c. Al l r ig hts r ese rve d.

17 Decision Process Putting models to work Prepare Data Build Model Register Model Define Business Rules Design Decision Flow Publish Monitor Decisions Models Analytics Publish, Monitor, Govern

18 DEMO

19 #AnalyticsX