Bas Geerdink is a programmer, scientist, and IT manager. At ING, he is responsible for setting up a data lake where data from all core systems of the bank is gathered and distributed. His academic background is in Artificial Intelligence and Informatics. His research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. Bas has a background in software development, design and architecture with a broad technical view from C++ to Prolog to Scala. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings.
The Internet of Things provides many interesting opportunities for the financial industry. Banks can have access to sensor data from mobile phones, payment terminals, households, cars, etc. This new connected world is a key element to real-time transactions processing which leads to an improved customer experience. Therefore, ING is investing in big data, analytics and stream processing to improve business processes such as balance forecasting, fraud detection and customer relation management. We are working on large scale with big data technologies to set up a data lake where all data flows from the bank come together. In this talk I’ll give an overview of this data lake, and present a framework for real-time analysis of financial transactions to detect fraud in the IoT.
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