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    Leading Technological Trends in the Fintech

    AI is also being adopted increasingly by financial institutions to enhance their productivity and efficiency.  

    Leading Technological Trends in the Fintech

    By

    Apac CIOOutlook | Tuesday, October 05, 2021

    Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

    After the unprecedented events of 2020, the fintech sector has been growing exponentially. As customers were forced to rely on virtual services amid the pandemic,  fintech witnessed an accelerated demand throughout the financial domain.

    Fremont CA: Even before COVID-19, the financial industry had already been witnessing a paradigm shift as fintech startups and applications were increasingly coming to the fore. The pandemic was only an added impetus for the sector to reorient its way of operations. From data analytics to cloud computing, the financial sector is increasingly integrating leading-edge technologies and undergoing significant transformations in response to the crisis, which will continue to disrupt every aspect of the entire industry.

    Several technologies trends are currently being implemented across various financial institutions, and blockchain tops that list. Today, companies growingly rely on blockchain to offer more secure, accessible, comprehensive, and efficient services. Blockchain ensures end-to-end security as its decentralised system is invulnerable to alterations and attacks. In addition, blockchain also offers complete transparency for every transaction, ensuring data integrity.

    Big data analytics is another technology that is benefiting the financial sector in many aspects. For instance, data analytics aids in tracking, gathering, and analysing data while improving decision-making and enhancing operational efficiency. One of the many advantages of data analytics is that it can significantly help in reducing the risk of fraudulent activities. Using analytics, companies can identify abnormalities in patterns that result from potential malicious activities.

    AI is also being adopted increasingly by financial institutions to enhance their productivity and efficiency. Companies use AI to convert the unstructured data from multiple sources into insights that can substantially aid growth and progress. AI tools are also used to verify the authenticity of documents and detect fraud and cybercrimes. Similarly, AI chatbots are implemented to improve customer experience as well. These chatbots automate customer service and thereby saves time and cost.

    On the other hand, robotic process automation (RPA) is being used to automate all backend office processes. Security checks, customer onboarding, mortgage processing, and other procedures are performed using RPA, significantly improving organisational efficiency.

    All these technologies are substantially helping this industry to provide a seamless yet enhanced customer experience. By implementing them, financial institutions can optimise their business, improve their services, and effectively navigate through all kinds of risks. In the coming years, these technologies will continue to propel the financial industry to achieve operational excellence.

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