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[Keynote] Predictive APIs: What about Banking? - Natalino Busa @ PAPIs Connect

The best services have one thing in common: a superb customer experience. Banking services are no exception to this rule, and indeed the quest for an effortless, well informed, and personalized customer experience is one of the main goals of today's innovation in digital banking services. According to what Maslow has described in his "pyramid of needs", customers are seeking a more intimate and meaningful experience where banking services can actively assist the customer in performing and managing their financial life. Predictive APIs have a fundamental role in all this, as they enable a new set of customer journeys such as automatic categorization of transactions, detecting and alerting recurrent payments, pre-approving credit requests or provide better tools to fight fraud without limiting legitimate customer transactions. In this talk, I will focus on how to provide better banking services by using predictive APIs. I will describe the path on how to get there and the challenges of implementing predictive APIs in a strictly audited and regulated domain such as banking. Finally, I will briefly introduce a number of data science techniques to implement those customer journeys and describe how big/fast data engineering can be used to realize predictive data pipelines.

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[Keynote] Predictive APIs: What about Banking? - Natalino Busa @ PAPIs Connect

  1. 1. Predictive APIs: What about Banking? Natalino Busa Data Platform Architect at Ing
  2. 2. @natbusa | linkedin.com: Natalino Busa Distributed computing Machine Learning Statistics Big/Fast Data Streaming Computing
  3. 3. @natbusa | linkedin.com: Natalino Busa ING group http://www.ing.com/About-us/Purpose-Strategy.htm
  4. 4. @natbusa | linkedin.com: Natalino Busa ING group Empowering people to stay a step ahead in life and in business. http://www.ing.com/About-us/Purpose-Strategy.htm
  5. 5. @natbusa | linkedin.com: Natalino Busa Abraham Harold Maslow (April 1, 1908 – June 8, 1970) was an American psychologist who was best known for creating Maslow's hierarchy of needs
  6. 6. @natbusa | linkedin.com: Natalino Busa Human needs Physiology Contractual Love & belonging Esteem Self-actualization breathing, food, water, sleep security of body, resources, health, employment, property friend, family, partner security of love and belonging self-esteem, confidence, achievements, respect spontaneity, creativity, acceptance, freedom, ethics
  7. 7. @natbusa | linkedin.com: Natalino Busa technology helps.
  8. 8. @natbusa | linkedin.com: Natalino Busa Connectivity, Electricity, Protocols REST APIs, Encryption, Authentication Real-Time, Accurate, Reactive, Notification, Autofill/correct, Recommenders, Social Predicting and Planning Set goals, Achievements Trusted Companion Freedom, Personal advice innovation Physiology Contractual Love & belonging Esteem Self-actualization APIs evolving to higher goals
  9. 9. data is the fabric of our lives all our relationships are based on data
  10. 10. @natbusa | linkedin.com: Natalino Busa Data is the new ...
  11. 11. @natbusa | linkedin.com: Natalino Busa Data as a Relationship
  12. 12. @natbusa | linkedin.com: Natalino Busa Data as a Relationship Trust Transparency of Use Customer First Regulations and Laws Respect and Protect Providing a Service
  13. 13. @natbusa | linkedin.com: Natalino Busa Help the customer Propose, Advise, Select, Filter, Connect, Simplify Actionable Data, Ethical approach
  14. 14. @natbusa | linkedin.com: Natalino Busa Help the customer Propose, Advise, Select, Filter, Connect, Simplify Protect the customer Detect, Prevent, Alert, Block, Defend, Identify, Authorize Actionable Data, Ethical approach
  15. 15. @natbusa | linkedin.com: Natalino Busa Strategic data-driven initiatives ● We are looking at fintech innovation to help strengthen our lending capabilities and better serve our consumer and SME clients. ● We launched a strategic partnership with Kabbage, one of the leading US-based technology platforms providing automated lending to SME. ● A first pilot project, in Spain, is underway. ● In January 2016, we made an investment in fintech WeLab, which provides consumer loans in China and Hong Kong in a fully automated process that just takes minutes, from application to approval. http://www.slideshare.net/ING/4q15-media
  16. 16. @natbusa | linkedin.com: Natalino Busa Strategic data-driven initiatives http://www.slideshare.net/ING/4q15-media ● Innovation helps to empower people to make better financial decisions ● In Poland, we launched Moje ING, a new omnichannel banking platform, based on a similar platform in Spain. ● The platform gives customers insights into their personal finances in an easy and intuitive way.
  17. 17. @natbusa | linkedin.com: Natalino Busa Predictive API’s: How to get there? Input Hand Designed Program Input Input Rule-based System Output Hand Designed Features Mapping from features Output Learned Features Mapping from features Output Classic Machine Learning Input Learned Features Learned Complex features Output Mapping from features Representational Machine Learning Deep Learning Prof. Yoshua Bengio - Deep Learning https://youtu.be/15h6MeikZNg
  18. 18. @natbusa | linkedin.com: Natalino Busa Predictive APIs in banking: It’s a long journey.
  19. 19. @natbusa | linkedin.com: Natalino Busa Predictive API’s: How to get there? Data + Tools / Applications / API’s Frameworks & Libraries Scientists & Engineers Domain Experts
  20. 20. @natbusa | linkedin.com: Natalino Busa Predictive API’s: How to get there? Data + Tools / Applications / API’s Frameworks & Libraries Scientists & Engineers Domain Experts
  21. 21. @natbusa | linkedin.com: Natalino Busa Predictive API’s: Research at ING Clustering geolocated data using Spark and DBSCAN How to group users’ events using machine learning and distributed computing By Natalino Busa January 28, 2016
  22. 22. @natbusa | linkedin.com: Natalino Busa Real-time fraud detection using process mining with Spark Streaming Bolke de Bruin (ING), Hylke Hendriksen (ING) Data Science & Advanced Analytics Predictive API’s: Research at ING
  23. 23. @natbusa | linkedin.com: Natalino Busa Data Science: quality and parsimony
  24. 24. @natbusa | linkedin.com: Natalino Busa Data Science: quality and parsimony How data scientists feel about their models
  25. 25. @natbusa | linkedin.com: Natalino Busa Data Science: quality and parsimony How data scientists feel about their models How managers feel about data scientists’ arguing models
  26. 26. @natbusa | linkedin.com: Natalino Busa Data Science: start lean ● What‘s the improvement? ● Can you quantify your model quality? ● Can you quantify impact impact? ● What is the impact for the customer journey? ● Can it be converted in financial results?
  27. 27. @natbusa | linkedin.com: Natalino Busa Tools and applications: inspiration from the web
  28. 28. @natbusa | linkedin.com: Natalino Busa Tools and applications: inspiration from the web The API for banking data. Two levels: - Transactions - Risk Scoring
  29. 29. @natbusa | linkedin.com: Natalino Busa Predictive APIs: opportunities
  30. 30. @natbusa | linkedin.com: Natalino Busa Predictive APIs: opportunities Feature Extraction, Anomaly/Novelty Detection: Identification based on behaviour rather than credentials Fraud detection and Intrusion detection Manifold learning algorithms Non-Linear Dimensionality Reductions Spark GraphX, Neo4J
  31. 31. @natbusa | linkedin.com: Natalino Busa Predictive APIs: opportunities Classification, Clustering: Automatic tagging of transactions Topological Data Analysis Analyze high-dimensional data, visually http://datarefiner.com/ Analysis of NetFlix Prize Dataset.
  32. 32. @natbusa | linkedin.com: Natalino Busa Voice, Speech and Video recognition Zero UI Predictive APIs: opportunities
  33. 33. @natbusa | linkedin.com: Natalino Busa Crossing the chasm Experience Technology Data + Science APIs
  34. 34. Muchas gracias Natalino Busa Data Platform Architect at Ing @natbusa

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