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Go Big Data or Go Home-Data Analytics-Enabled Compliance Programs Kevin Gleason, Senior Vice President at Voya Investment Management and Chief Compliance Officer of The Voya Funds & Matthew Gleason, Undergraduate Computer Science Major at The University of Arizona
The fintech industry has been revolutionized by the computational arms race of the last two decades. Technologies like AI, Machine Learning, Neural Networks, evolutionary algorithms, Big Data Analytics, and more have enabled computers to crunch more varied, diverse, and deep datasets than ever before.
Fremont, CA: Artificial Intelligence (AI) has become the buzzword for every industry, and in the last few years has transformed every aspect of the business. The fintech industry is no different. AI technology has improved precision levels, enhanced customer engagement levels, and quickened the query resolution period. Fintech companies and financial firms were the early adopters of the technology and have stood to benefit the most. AI helps fintech firms to resolve human problems by enhancing their efficiency. The technology improves results by applying various methods derived from different aspects of human intelligence at a beyond human scale.
The fintech industry has been revolutionized by the computational arms race of the last two decades. Technologies like AI, Machine Learning, Neural Networks, evolutionary algorithms, Big Data Analytics, and more have enabled computers to crunch more varied, diverse, and deep datasets than ever before. A customer-centric approach, cost optimization, enhanced security, and real-time data integration are the crucial needs of the current financial sector that mimic the business dynamics of the FinTech firms.
Modern technologies used across NBFCs and banks have enabled them to develop products that offer customers more at lower prices. Product options were limited in the past and were followed by strict policies that made customers dissatisfied with the banking system. Financial institutions now have a better understanding of clients and offer customers options based on their needs and requirements. Banking and financial operations have been significantly simplified, thanks to the multiple algorithms used by AI technologies. The reverse predictive analysis highlights every opportunity and helps the customer in choosing the right product or service. The ease of accessing all this information online on fintech websites and mobile apps has made things much more straightforward.
There are extensive benefits of using AI in the fintech industry. From marketing products and services to increasing customer reach, AI combined with Big Data and predictive analytics can be useful in increasing the global reach and scope of financial institutions. Thanks to AI and other technologies, the loan process can now be completed within a few hours. A loan application in the morning will be processed immediately and funds released by the same evening. Also, the entry of Amnesty International in the multifaceted financial sector has increased speed and accuracy.