| | NOVEMBER 20196CIOReviewA decade after the GFC rocked the foundation of the financial industry, banks, financial institutions, regulatory bodies, and investors have taken multiple steps to ensure that history doesn't repeat itself. The new age of FinTechs is drawing from intelligent automation, analytical customer insights, and data-driven compliance to significantly curtail the odds of another financial crisis. To that end, they are turning to technologies such as AI, machine learning, distributed ledger technology (DLT) and robotic process automation (RPA) to enable new levels of business process efficiency and effectiveness.By leveraging AI and machine learning, financial companies have optimized both trade processes and post-trade activities. While machine learning is disrupting both sell-side and buy-side transactions by streamlining complex workflow, revenue managers are using AI for real-time fraud detection and enhanced risk management processes. Moreover, longstanding banks with huge datasets are able to use deep learning tools to make viable changes to automate funds. Essentially, machine learning algorithms are substituting investment managers to drive positive alphas and better returns. As for post-trade operations, FinTechs are enabling the automation of transactions and reconciliations through AI-based NLP and machine learning. Previously, most trade executions and settlements were handled manually by middle- and back-office employees. The process was time-consuming, labor-intensive, and expensive. Most of all, the infusion of technologies has allowed banks to understand their customers better than ever before. Equipped with unprecedented data at their fingertips, financial institutions are able to utilize that information as a springboard for developing products and services and enhance the quality of customer engagement. However, there is also the downside of leveraging deep customer insights. Since customer data is a tremendous asset for any business in the capital markets arena, the safety of the data has become all the more critical. Concerns about security have given birth to a number of regulations that require firms to strictly maintain standards on usage, distribution, and protection of customer data. This is where the data-drive compliance aspect is monumental. As efficient as these technologies and FinTech solutions are, they need to be designed specifically to benefit a particular organization. In leafing through these pages, your company stands to identify a solution that best fits your business needs.EditorialFuture of Capital Markets is Taking ShapeCopyright © 2019 ValleyMedia, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.CIOReviewContact Us:Phone:510-230-0395Fax:510-894-8405Email:sales@cioreview.comeditor@cioreview.commarketing@cioreview.com November 22, 2019, Vol 08, Issue-96 (ISSN 2644-237X) Published by ValleyMedia, Inc.To subscribe to CIOReviewVisit www.cioreview.com CIOReviewEditorial StaffAaron PierceCarolynn WaltersDean WinchesterJune Williams Shirley FaithRussell ThomasVisualizers*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffJustin Smith Managing Editoreditor@cioreview.comManaging EditorJustin SmithSalesStephen Thomasstephen.thomas@cioreview.com Asher Blake
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