I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
4. What is Fintech?
“Fintech …refers to the innovative use of
technology in the design and delivery of
financial services and products. The application
of fintech cuts across multiple business segments,
including lending, advice, investment management
and payments. Many fintech companies harness
mobile technologies, big data and superior analytics
to tailor products for various customer segments.”
World Economic Forum
https://www.weforum.org/agenda/2016/04/5-things-you-need-to-know-about-fintech/
5. Why tech in fin?
“Silicon Valley is good at getting rid
of pain points, while banks are good
at creating them.”
Jamie Dimon, JPMorgan CEO
at Bernstein's 31st Annual Strategic Decisions Conference, 2015.
7. ‘We want to be a tech
company with a banking
license’ – Ralph
Hamers, CEO
In the future, BBVA will
be a software company -
Francisco Gonzalez,
Chairman & CEO
14. 9 main categories…
• Credit Scoring / Direct Lending: Companies in this category use AI for robust
credit scoring and lending applications.
• Assistants / Personal Finance: Companies in this category rely on an AI chat
bot and mobile app assistant applications to monitor personal finances.
• Quantitative & Asset Management: Companies in this category employ AI
algorithmic trading and investment strategies or tools.
• Insurance: Companies in this category use AI to quote and insure.
• Market Research / Sentiment Analysis: Companies in this category use AI to
efficiently research and measure sentiment.
• Debt Collection: Companies in this category use AI to improve creditor
collection of outstanding debt through personalized and automated
communication.
• Business Finance & Expense Reporting: Companies in this category use AI to
improve basic business accounting, including expense reporting.
• General Purpose / Predictive Analytics: Companies in this category use AI for
general purpose semantic and natural language applications as well as broadly
applied predictive analytics.
• Regulatory, Compliance, & Fraud Detection: Companies in this category use
AI to detect fraudulent and abnormal financial behavior, and/or use AI to improve
general regulatory compliance matters and workflows.
22. “Hey Google, can I speak to
Sunlife?”
http://mediaincanada.com/2018/02/15/sun-lifes-ella-expands-its-audience-with-google-home/
23. Deployed 220 “bots”, across its businesses over the
past 15 months seeking more efficiency and lower
costs, as the adoption of artificial intelligence
technology in banking increases…funds transfer bots
alone are saving it $300,000 annually, by cutting down
the time its employees need to spend on identifying and
dealing with data mistakes and accelerating payments
processing.
24. Softbank
Pepper is the world’s first social humanoid
robot able to recognize faces and basic
human emotions. Pepper was optimized
for human interaction and is able to
engage with people through conversation
and his touch screen.
Pepper is available today for businesses
and schools. Over 2,000 companies
around the world have adopted Pepper as
an assistant to welcome, inform and guide
visitors in an innovative way.