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Transform Banking with Big Data and Automated Machine Learning 9.12.17

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Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization.

3 things to learn:
* How to create a next generation data platform and why it is important
* How to monetize big data using predictive modeling and machine learning
* What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution

Published in: Technology
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Transform Banking with Big Data and Automated Machine Learning 9.12.17

  1. 1. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved How to Dominate Banking with Artificial Intelligence Greg Michaelson, PhD VP, DataRobot Labs Steve Totman Industry Leader, Financial Services, Cloudera
  2. 2. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved We believe data can make what is impossible today, possible tomorrow
  3. 3. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved 1. Introductions 2. The opportunity 3. How to be successful with data science 4. DataRobot Demo 5. Next Steps (what to do after the webinar) Agenda
  4. 4. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved $124M 140+ IN FUNDING 200,000,000+ MODELS BUILT ON DATAROBOT CLOUD I N S U R A N C E B A N K I N G H E A L T H C A R E F I N T E C H M A N Y M O R E #1 RANKED DATA SCIENTISTS 4 50+ TOP 3 FINISHES The world’s most advanced Enterprise Machine Learning platform DATA SCIENTISTS & ENGINEERS (OF 260+) 2012FOUNDED HQ in Boston, MA
  5. 5. 5© Cloudera, Inc. All rights reserved. 2008 founded Big data innovators from Google, Yahoo and Oracle Cloudera at-a-glance Customer success Large enterprises fueling growth 48% customer growth Last 4 years Global 8000 customers 140%+ net expansion Expansion driven by data and new use cases Open partner network Best of breed solutions 3000+ Partners Vast ecosystem of solution & service providers First to market Open source innovation 1600+ Clouderans Global team doing business in 28 countries NYSE: CLDR
  6. 6. 6© Cloudera, Inc. All rights reserved. Cloudera - Adoption driven by large enterprises 1000+ customers across all verticals ~500 Global 8000 customers 7/10 9/1 0 2 9 6/1 0 8/10Top Global Top Global Top Global Top GlobalCountries with government customers BANKING TELCO PUBLIC HEALTHCARE TECHNOLOGY
  7. 7. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Every aspect of financial services is an AI opportunity Upsell/Cross-sell Customer loyalty, retention CUSTOMER JOURNEY / 360 Pricing analytics Churn reduction OPERATIONS Loan review COMPLIANCE HUB Loss forecasting/ Stress Testing PRODUCT & SERVICE EFFICIENCIES Investment research and client targeting Portfolio analytics and robo- advising REVENUE GENERATION Prospecting Marketing RISK / FRAUD Delinquent asset resolution Credit and prepayment risk Model Governance and Validation KYC/AML Underwriting Succession planning Fraud reduction (ATM, card, merchant services) Resolve with previous slide
  8. 8. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Behold! The Fintech Invasion
  9. 9. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved 1. You have the right people and the right data today 2. Teach everyone to spot opportunities to leverage AI 3. Think Big, Start Many, Iterate Often 4. Execution includes implementation 5. Practice Safe data science -, Secure, Governed, Legal, Ethical 9 5 Keys to Success with Data Science
  10. 10. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved You have the right people and the right data today
  11. 11. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Your Big Data Team is Ready for AI Today Analytics Data Management Infrastructure Your Data Organization today can do this - start with the data and people you have today and iterate Shared Data Platform Architects Data Scientists Data Engineers critical these roles be tightly aligned Legacy Today
  12. 12. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved The Executive Sponsor Technical staffThe Business Champion The Data Science Line-up
  13. 13. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved The executive sponsor: ● Initiates, prioritizes, and drives data science solutions ● Advocates for an organizational mastery of data science ● Hires the right people; chooses the right technologies; and makes the right partners ● Cuts through red tape, bureaucracy, and hype ● Insists on collaboration between business and techies Common mistakes: ● Forgetting about implementation until the end ● Being intimidated by academics, statisticians, and data scientists ● Being vague about expectations and output ● Failing SLOW or giving up QUICK The Data Science Line-up: Executive Sponsor
  14. 14. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved The business champion: ● Communicates context, importance, and constraints ● Subject matter expert for the business ● Eagerly embraces technology and tools ● Fully participates in planning and testing ● Evaluates results and makes course corrections Common mistakes: ● Not asking enough questions ● “Checking out” when things get technical ● Playing go-between between techies and business The Data Science Line-up: Business Champion
  15. 15. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved The technical staff: ● Ensure proper data practices ● Think hard about presentation and communication ● Build repeatable, accurate, practical solutions ● Different skill sets: data assembly, data science, implementation Common mistakes: ● Not learning the business ● Making communication too technical ● Ignoring business feedback ● Delivering impractical or too slowly The Data Science Line-up: Technical Team
  16. 16. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Teach everyone to spot opportunities to leverage AI
  17. 17. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Identifying Opportunities in Your Business People who understand your business Data Scientists Your employees
  18. 18. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Identifying Opportunities in Your Business Low ROI, few ideas, limited business impact People who understand your business Data Scientists Your employees
  19. 19. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Identifying Opportunities in Your Business You don’t need to be a data scientist to spot opportunities People who understand your business Data Scientists Your employees
  20. 20. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Think Big Start Many Iterate Often
  21. 21. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved PREREQUISITES 1. Knowledge of the overall & specific missions 2. Knowledge of the data 3. Ability to write code to gather data 4. Ability to write code to explore/inspect data 5. Ability to write code to manipulate data 6. Ability to write code to extract actionable intel 7. Ability to write code to build models 8. Ability to write code to implement models 9. Foundational statistics 10. Internals of algorithms 11. Practical knowledge and experience 12. Knowing how to interpret and explain models The AI Bottleneck: Data Scientists Math & Stats Domain Expertise Programming Skills
  22. 22. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved PREREQUISITES 1. Knowledge of the overall & specific missions 2. Knowledge of the data Machine Learning Automation: The New Prerequisites Math & Stats Domain Expertise Programming Skills AUTOMATED
  23. 23. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Advanced tools make business people more technical and technical people more business focused Utilizing the Right Tools is the Key Data Preparation and Munging Visualization Data Science Shared Data Platform
  24. 24. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Execution includes implementation
  25. 25. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved 80% 20%30% 10% 25% 35% #lie Data Science is 80% Data Preparation DATA PREPARATION MODELING MODEL RISK MANAGEMENT / AUDIT / VALIDATION INTEGRATION AND IMPLEMENTATION faster modeling > faster data prep > faster, better results better modeling > less time spent validating > faster, better results better tools > faster and cheaper implementation > faster, better results (... in other words, the real problem is not building the models…)
  26. 26. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Practice safe data science
  27. 27. 27© 2016 Cloudera, Inc. All rights reserved. Data Free-for-All: Available & Error-Prone Basic Security Controls: Authorization Authentication Comprehensive Auditing Data Security & Governance: Lineage Visibility Metadata Discovery Encryption & Key Management Practice Safe Data Science - Secure Start with the Big Data Security Maturity Model Achieve Scale and Cost Effectiveness via a Secure Data Platform Fully Compliance Ready: Audit-Ready & Protected Audit Ready For: EU Data Protection Directive, PCI DSS HIPAA, FERPA FISMA, PII Full encryption, key management, transparency, and enforcement for all data- at-rest and data-in-motion DataVolume&Sensitivity Security Compliance & Risk Mitigation 0 Highly Vulnerable Data at Risk 1 Reduced Risk Exposure 2 Managed, Secure, Protected 3 Enterprise Data Hub Secure Data Vault
  28. 28. 28© 2016 Cloudera, Inc. All rights reserved. Common policy guidelines “toolkit”informs data protection and usage
  29. 29. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Data Governance Council Cross-Org: has the authority for governing data Data Stewards / Guardians Retention Management Profile Management Quality Management Data Privacy Step 1: Data engineering team proposes policies, data steward roles, data dictionary, master data (for profiles) Step 2: Employ technology, e.g. Cloudera Navigator, to implement policies Step 3: Data governance exec council – cross company participation Data Governance Program Responsible for governing the company’s Big Data Asset Practice Safe Data Science - Data Governance “Lite”
  30. 30. 30© Cloudera, Inc. All rights reserved. Practice Safe Data Science- Ethical Data Usage Good way to evaluate use cases - What would mum and dad think?
  31. 31. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Behind every machine learning success story, there is a data success story.
  32. 32. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved <1% of unstructured data is analyzed or used at all <50% of structured data is actively used in making decisions >70% of employees have access to data they should NOT Extracting value from data – an untapped opportunity
  33. 33. 33© Cloudera, Inc. All rights reserved. The enterprise platform for machine learning PATTERN RECOGNITION DETECTION PREDICTION 650+CUSTOMERS RUN ON DRIVE CUSTOMER INSIGHTS Market segmentation Customer 360 Next best offer Churn analysis & prevention PROTECT BUSINESS Cybersecurity Fraud Anti-money laundering Risk modeling & assessment SPAM detection CONNECT PRODUCTS & SERVICES (IoT) Predictive maintenance Genomics & personalized medicine Predicting and preventing disease Natural language
  34. 34. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved OPERATIONS Cloudera Manager Cloudera Director DATA MANAGEMENT Cloudera Navigator Encrypt and KeyTrustee STRUCTURED Sqoop UNSTRUCTURED Kafka, Flume PROCESS, ANALYZE, SERVE UNIFIED SERVICES RESOURCE MANAGEMENT YARN SECURITY Sentry, RecordService STORE INTEGRATE BATCH Spark, Hive, Pig MapReduce STREAM Spark DATA SCIENCE CDSW SEARCH Solr SQL Impala NoSQL HBase OTHER Object Store FILESYSTEM HDFS RELATIONAL Kudu Cloudera options for data science and machine learning
  35. 35. 35© Cloudera, Inc. All rights reserved. DataRobot + Cloudera: Better Together DataRobot on Cloudera Enterprise increased experience: • Spark on Hadoop for distributed model scoring • Cloudera Manager integration to easily deploy and monitor DataRobot jobs • Certified on secure cluster to deploy the joint solution confidently • Leverage DataRobot libraries from Cloudera Data Science Workbench DATA MANAGEMENT Cloudera Navigator Encrypt and KeyTrustee STRUCTURED Sqoop UNSTRUCTURED Kafka, Flume PROCESS, ANALYZE, SERVE UNIFIED SERVICES RESOURCE MANAGEMENT YARN SECURITY Sentry, RecordService STORE INTEGRATE BATCH Spark, Hive, Pig MapReduce STREAM Spark DATA SCIENCE CDSW SEARCH Solr SQL Impala NoSQL HBase OTHER Object Store FILESYSTEM HDFS RELATIONA L Kudu OPERATIONS Cloudera Manager Cloudera Director Integration Point
  36. 36. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Demo
  37. 37. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Call to Action Learn more about the Cloudera Fast Forward Lab in this blog by Cloudera’s Chief Strategy Officer Mike Olson: http://vision.cloudera.com/fast-forward/ Visit Cloudera Financial Services Solutions page: https://www.cloudera.com/solutions/financial-services.html Check out these DataRobot banking solutions: https://www.datarobot.com/banking/
  38. 38. Confidential. Copyright © DataRobot, Inc. and Cloudera, Inc. - All Rights Reserved Appendix

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