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Download Big Data and Artificial Intelligence in Digital Finance

In digitalization era, banks and financial organizations are rushing their digital transformation. As part of this revolution, financial organizations produce extraordinary quantities of data about their financial and insurance procedures while using unconventional digital technologies (e.g., big data, AI, Internet of Things (IoT)) to gather, study, and fully leverage the generated data assets [1]. Furthermore, recent regulatory developments (e.g., the 2nd Payment Services Directive (PSD2) in Europe) [2] facilitate the sharing of data across financial organizations to enable the development of innovative digital finance services based on novel business models. The latter aim at lowering the barriers for new market players (e.g., payment service providers (PSPs) in the PSD2 context) to develop and roll out new services in ways that increase clients’ fulfilment and generate new income streams.

Big Data and Artificial Intelligence in Digital Finance

Overall, financial and insurance groups take benefit of big data and IoT technologies with the aim of improving the accuracy and cost-effectiveness of their services, along with the general value that they provide to their customers. Nevertheless, despite early placement instances, there are still many tasks that must be overcome prior to leveraging the full potential of big data and AI in the finance and insurance sectors.

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