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

Predictive APIs:
What about Banking?
Natalino Busa
Data Platform Architect at Ing

@natbusa | linkedin.com: Natalino Busa
Distributed computing Machine Learning
Statistics Big/Fast Data Streaming Computing

ING group
http://www.ing.com/About-us/Purpose-Strategy.htm

ING group
Empowering people to stay a step ahead
in life and in business.
http://www.ing.com/About-us/Purpose-Strategy.htm

Abraham Harold Maslow
(April 1, 1908 – June 8, 1970) was an American
psychologist who was best known for creating
Maslow's hierarchy of needs

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

technology helps.

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

data is the fabric of our
lives
all our relationships are based on data

Data is the new ...

Data as a Relationship

Data as a Relationship
Trust
Transparency of Use
Customer First
Regulations and Laws
Respect and Protect
Providing a Service

Help the customer
Propose, Advise, Select, Filter, Connect, Simplify
Actionable Data, Ethical approach

Help the customer
Propose, Advise, Select, Filter, Connect, Simplify
Protect the customer
Detect, Prevent, Alert, Block, Defend, Identify, Authorize
Actionable Data, Ethical approach

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

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.

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

Predictive APIs in banking:
It’s a long journey.

Predictive API’s: How to get there?
Data +
Tools / Applications / API’s
Frameworks & Libraries
Scientists & Engineers
Domain Experts

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

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

Data Science: quality and parsimony

How data scientists feel
about their models

How data scientists feel
about their models
How managers feel about
data scientists’ arguing models

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?

Tools and applications:
inspiration from the web

Tools and applications:
inspiration from the web
The API for banking data.
Two levels:
- Transactions
- Risk Scoring

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

Classification, Clustering:
Automatic tagging of transactions
Topological Data Analysis
Analyze high-dimensional data, visually
http://datarefiner.com/
Analysis of NetFlix Prize Dataset.

Voice, Speech and Video recognition
Zero UI

Crossing the chasm
Experience
Technology
Data + Science
APIs

Muchas gracias
Natalino Busa
Data Platform Architect at Ing
@natbusa

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

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