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Finance 2018 - Tomasz Czech - Machine learning for financial services

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Tomasz Czech - Comarch @ Finance 2018

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Finance 2018 - Tomasz Czech - Machine learning for financial services

  1. 1. Machine learning for financial services
  2. 2. R&D: HOW WE PROCEED
  3. 3. AI ALGORITHMS VS EXPLICIT PROGRAMMING
  4. 4. WHY DEEP LEARNING?
  5. 5. DEEP LEARNING IN OUR SOLUTIONS
  6. 6. CASE STUDY: MONEY LAUNDERING DETECTION
  7. 7. SOLUTION
  8. 8. PROOF OF CONCEPT
  9. 9. MODELING SCOPE: CLIENT SEGMENT-DEDICATED MODELS
  10. 10. SUGGESTED TRAINING DATA SCOPE
  11. 11. TWOFOLD LIFECYCLE POC & DATA SCOPE ANALYSIS HISTORICAL DATA DELIVERY AI MODELING DOUBLE-BLIND TESTING PROOF OF CONCEPT TARGET PRODUCTION DEPLOYMENT PRELIMINARY DATA & INTEGRATION SCOPE ANALYSIS AGREEMENT MODELING, TUNING & TESTING AI FRAMEWORK & PROCESS CUSTOMIZATIONS DEPLOYMENT & INTEGRATION NDA & DATA PROCESSING AGREEMENT HISTORICAL DATA DELIVERY
  12. 12. PROJECT WORKLOAD & COSTS OPTIMIZATION
  13. 13. TRAINING AND SERVING ARCHITECTURE SERVING
  14. 14. CONTINUOUS LEARNING AFTER DEPLOYMENT
  15. 15. THANK YOU COAMRCH.COM Comarch Financial Services Comarch_Finance Comarch Finance

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