Mindtree Uses Artificial Intelligence and Machine Learning to Help Banks Across the Globe Reduce Risk and Improve Compliance

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Service offerings leverage machine learning platform Tookitaki, to enable banks to automate anti money laundering and reconciliation management 

WARREN, NJ and BANGALORE, India, Aug. 7, 2018 /CNW/ – Mindtree, a global technology services and digital transformation company, guiding its clients to achieve faster business outcomes, is using artificial intelligence and machine learning technology to help banks improve their ability to detect financial crimes and enhance reconciliation management. These service offerings are made possible through a partnership with Tookitaki’s machine-learning-powered platform.

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Banks and other financial institutions are challenged by both the rising sophistication of financial crimes worldwide and increasingly complex regulations requiring strict operating and reporting standards. The ongoing efforts to manually detect money laundering, dealing with false alarms and fragmented reconciliation processes are costly and time consuming. There is an urgent need for these institutions to automate many of these processes, reducing errors and accelerating their response times to incidents.

To address these challenges, Mindtree and Tookitaki are now offering these services:

  • Smart Alert Management: A completely automated, dynamically-adaptive model based on artificial intelligence and machine learning technology to detect suspicious cases more accurately. It reduces false alerts, increases true positives (suspicious cases missed by rules/legacy systems), lowers costs, and enhances the productivity of analysts. Banks can improve the anti-money laundering process using machine learning.
  • Smart Reconciliation Management: An end-to-end automated approach to reconciliation management across business functions. Using machine learning and analytics, it increases match rates, resolves exceptions, recommends adjustment amounts and generates an audit trail for thorough business understanding. This shifts reconciliation from being subjective and error-prone to objective and more accurate. Banks can automatically handle exceptions and correct source systems while staying compliant.

“There is a compelling need for banks today to automate many traditionally manual, intensive, error-prone tasks,” said Kamran Ozair, Executive Vice President and Head of Banking, Financial Services and Insurance at Mindtree. “This partnership combines Tookitaki’s predictive modeling capabilities and Mindtree’s deep expertise in helping enterprise clients capitalize on artificial intelligence and machine learning to help banks run their business more efficiently.”

“Rapid development in artificial intelligence and robotics technologies has brought in massive adoption of automated technologies across industries,” says Abhishek Chatterjee, Founder and CEO of Tookitaki. “For banks especially, who are dealing with strict regulations and little room for error, automation can drive quality, productivity and profitability. Our partnership with Mindtree has made it easier and more efficient for customers in the financial services industry to introduce artificial intelligence and machine learning capabilities into the critical space of regulatory compliance.”

About Mindtree 

Mindtree (NSE: MINDTREE) is a global technology consulting and services company, helping Global 2000 corporations marry scale with agility to achieve competitive advantage. ‘Born digital’ in 1999, more than 340 enterprise clients rely on our deep domain knowledge to break down silos, make sense of digital complexity and bring new initiatives to market faster. We enable IT to move at the speed of business, leveraging emerging technologies and the efficiencies of Continuous Delivery to spur business innovation. Operating across 17 countries, we’re consistently regarded as one of the best places to work, embodied every day by our winning culture made up of 19,000 entrepreneurial, collaborative and dedicated “Mindtree Minds.” To learn more, visit http://www.mindtree.com or follow us @Mindtree_Ltd.

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SOURCE Mindtree