Recorded Webinar: Leveraging NLP for regulatory compliance14 June 2022
As regulatory compliance becomes more complex, requires larger volumes of data – both structured and unstructured, and comes under greater scrutiny by regulators, financial institutions are looking for RegTech solutions that can help them increase efficiency, reduce costs, and improve the accuracy of regulatory data.
One such solution is natural language processing (NLP), which can help compliance teams not only question regulatory texts and updates, but also manage and automate vast quantities of unstructured data.
This webinar will consider the potential of NLP in regulatory compliance, how best it can be deployed, useful RegTech tools, and the benefits it can deliver. It will also present case studies of NLP in compliance, and review its future potential.
Listen to the webinar to find out about:
- Progress on the use of NLP in regulatory compliance
- The potential of NLP to drive automation
- Best practice approaches to implementation
- Challenges presented by the use of NLP in compliance
- Case studies of successful implementations
Melanie Williams, Senior Regulatory Change Manager, Revolut
Dr. Selja Seppälä, Lecturer; University College Cork
Kai Schrimpf, Transaction Monitoring Product Owner, UBS
Dr Yin Lu, Head of Product – RegAI, CUBE
Moderator: Sarah Underwood, Editor,
More about our speakers:
Senior Regulatory Change Manager
Melanie is a Senior Regulatory Change Manager at Revolut where she is responsible for developing and implementing the Horizon Scanning and Regulatory Mapping processes supported by RegTech and NLP. She is a New York qualified lawyer and has an MBA in Finance with 8 years of experience working in the regulatory and legal space in New York, Zürich, Luxembourg and London.
Dr. Selja Seppälä
University College Cork
Selja is a Lecturer at the Department of Business Information Systems, University College Cork (UCC), where she recently completed a Marie Curie Career-FIT Fellowship investigating natural language processing (NLP) methods to develop a computer-assisted definition authoring and formalisation system for legal experts (RegDef). She has conducted research in the areas of NLP for regulatory technologies in the financial industry at the Governance, Risk and Compliance Technology Centre (GRCTC) at UCC, and of applied ontology and biomedical informatics at the University of Florida and the State University of New York at Buffalo, where her research was funded by the Swiss National Science Foundation. Selja has published in the fields of NLP, terminology, and applied ontology.
Dr Yin Lu
Head of Product – RegAI
Yin is the Head of Product (RegAI) at CUBE, a market-leading regtech that transforms regulatory data into regulatory intelligence. Working closely with CUBE’s AI teams, she oversees all ML and NLP-driven use cases, from content capture and enrichment to platform-level enhancements that accelerate every step of the compliance workflow.
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