CIBC Mellon adopts Duco for data automation


CIBC Mellon has announced its strategic collaboration with Duco, a leading SaaS provider of AI-powered data automation.

By leveraging Duco’s advanced capabilities, CIBC Mellon is set to lower operational risk, streamline processes, and empower finance and operations teams.

"The initiative underscores CIBC Mellon’s commitment to investing in technology to manage data effectively while reducing operational risk and improving client experience," said Mal Cullen, Chief Executive Officer, CIBC Mellon. "By harnessing AI-based automation, CIBC Mellon ensures that its processes are exception-based and sustainable in the long run."

"The addition of Duco’s data automation technology to our platform signifies a significant step towards enhancing the way we deal with data," said Richard Anton, Chief Client Officer, CIBC Mellon. "By automating repetitive tasks and focusing on insight and analysis, we aim to empower our experts to deliver even greater value to our clients. This collaboration aims to revolutionize the way data is managed, processed, and utilized, ultimately delivering better outcomes for our clients."

"With Duco’s intuitive platform, financial services firms gain a comprehensive solution for automating the processing of structured and unstructured data," said Michael Chin, Chief Executive Officer, Duco. "We are dedicated to empowering institutional investors through transformative technologies."

"We’re proud to partner with CIBC Mellon," said James Maxfield, Chief Product Officer, Duco. "Their commitment to innovation, combined with our extensive experience of empowering the world’s leading financial firms to transform their operations, will enable them to unlock the enterprise-wide benefits of data automation for a faster, more efficient business."

CIBC Mellon and Duco are committed to delivering high-quality service by leveraging cutting-edge technology and working closely with their partners to meet the evolving needs of the industry.


By on Wed, 08 May 2024 11:36:00 GMT
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