Oracle Data Science Platform

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1. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | 2. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Siyuan Yin…
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  • 1. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. |
  • 2. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Siyuan Yin Solution Engineer, Oracle Reston Hub Stuti Deshpande Solution Engineer, Oracle Reston Hub
  • 3. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Agenda for today - Data Science in Sandbox vs. Industry - Data Science Challenges Break-down - Oracle Approach to DS workloads - Demo time! - Q&A
  • 4. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | A Little Bit About Me... - Background in Cognitive Psychology and Information Science - Oracle Cloud Solution Engineer focusing on data science solutions using cloud - Multiple DS/ML projects in program & with startups in industry, mostly on user behavior & engagement ...little did I know the real world is way more interesting
  • 5. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. |
  • 6. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Data Science in Sandbox - Where grass is green, data is clean, your teammates are data-geniuses, and you can focus on playing with fancy machine learning models 100%
  • 7. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Workflow in Sandbox Data download to laptop Open source frenzy! Try different models/classi fiers, choose deep learning Evaluate & Tuning Report performance with confusion Matrix, AUC, MSE, etc Scoring for competition, or write 13-pages report Hooray! Oversimplify the industry: 1. Machine learning as a toy, and the only solution 2. Goal: cutting-edge technology
  • 8. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Workflow in Industry Data Collection
  • 9. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Workflow in Industry Business problem - What values can you add? Improve product - Inferential stats - A/B testing Build new feature - Market/domain analysis Evaluation metrics? - User engagement - User impression What data? - User behavior, feature usage, images How to get data? - Pipelines, connectors What if no data? Predicting housing price from a picture - how good is this feature? Data Collection
  • 10. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Workflow in Industry Data Collection Open source frenzy! Build models/classi fiers, choose deep learning Problem Definition Data Storage
  • 11. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Workflow in Industry Tools installed and supported both in production environment? Access to compute/storage resources when needed? Diversity: collaborate when teammate using different tools? Python(2.7 vs. 3.4), R, Julia, SAS, Excel…… Compatible? Evaluate current price prediction feature Open source vs. Proprietary Environment & Resource
  • 12. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Workflow in Industry Data Collection Open source/ Proprietary DS tools Problem Definition Resource Allocation Data approaches based on problem Evaluate & Optimization Performance Analysis Productionize Profit! Version Control Performance Monitoring
  • 13. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Sandbox Industry 100% on FANCY MODELS! 80% of time: - Begging for data, - Begging for resource, - 50 meetings with marketing people to prove “this will bring $$$ ”, - Begging software engineers to help deploy your result 20% of time:
  • 14. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Data Collection Data Storage Discovery Data Analysis Inference Machine Learning & Optimization AI & Deep Learning + Marketing + Infrastructure & Architecture + more…. One-fit-all Solutions?
  • 15. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Problems break-down Talent • Business sense • Domain knowledge • Data Science skill sets • Be skeptical about results Operation Technology • Resources • Environment supporting major DS tools • Performant model/algorithm • Long wait for resources • Difficult collaborating with talents • No standardized workflow What Oracle is solving!
  • 16. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Oracle’s Approach Oracle Data Science Cloud Oracle PaaS & IaaS Projects Notebooks Open Source Languages & Libraries Version Control Use Case Templates Model Build & Train Self-Service Scalable Compute (OCI) Object Store Catalog Data Lake Streamin g Autonomous Data Warehouse Model Deployment Model Monitoring Access Controls & Security Resources - Scalable - Self-service access Collaboration - Native support for Github, Gitlab, Bitbucket - Project-driven UI DS-oriented environments - Support latest open source tools - Preconfigured environments Operationalize ML models - Easy deployment as API
  • 17. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Resource RequestData Collection Open source/ Proprietary DS tools Problem Definition Data approaches based on problem Evaluate & Optimization Performance Analysis Productionize Profit! Version Control Oracle Data Science Cloud Performance Monitoring
  • 18. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Data Scientists ● Self-sufficient ● Collaborative environment ● Sustainable, standardized workflow IT Admins ● Preconfigured, data scientists approved environments ● Scalable resources, low maintenance Software Engineers Business Stakeholders As our own customer, we are happy ● Integrate data workflow with business decision making process ● Easy collaboration with data scientists ● Access to performant, production-ready solutions ● Easy deployment in all scenarios, no more being “dragged and dropped”
  • 19. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Demo Time!
  • 20. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Demo 1 - Customer Churn Analysis Business Problem: - What customer will terminate their service in the next 30 days? - How can we know in advance?
  • 21. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | Q&A
  • 22. Copyright © 2018 , Oracle and/or its affiliates. All rights reserved. | BTW, There is one more thing…... Oracle Cloud Trials! - $500 credits - Unlimited access to Oracle cloud products - Sign up at Oracle table
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