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Data Science in Finance

Financial institutions are facing challenging times. Digital savvy users want easier and faster means to interact with their bank, FinTechs implement lean models, GAFAs and Telcos are aggressively entering into financial services… In this new era of competition, financial institutions need to leverage the value of their data that are most of the time locked and undervalued in old legacy systems.

Cross-functional teams focused on quickly building prototypes can learn to really master the continual cycle of execution, exploration and learning specific to data science. The experimentation of data science techniques inside small-scale pilots should be encouraged to develop and refine new ideas and answer to the attacks of innovative and fast-moving competitors.

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