AI in Financial Services: Achieve Compliance With Less Complexity

Key topics: Everyday compliance use cases in the areas of capital and contracts; Complexities driven by processing massive volumes of unstructured data; and Leveraging Deep learning techniques on a next-generation AI platform.

November 5, 2018

Date: Aug 25, 2021

Compliance is an ever-changing environment that’s costs can consume up to 10% of a financial institution’s revenue. With modern collaboration tools that use voice, chat, video, thousands of documents, and massive volumes of disparate data, analyzing and monitoring critical financial data in real-time is challenging.

With its ability to process large volumes of data with speed and accuracy, AI, specifically natural language processing (NLP) models, can help financial services leaders better see and understand evolving compliance requirements to integrate the right policies at less time and cost.

Key topics include: Everyday compliance use cases in the areas of capital and contracts. Complexities driven by processing massive volumes of unstructured data (e.g., documents, social media, video) with a traditional, rules-based approach that wasn’t meant to handle modern data. Leveraging Deep learning techniques on a next-generation AI platform to streamline error-prone, repetitive workflows, reduce false-positives, and improve downstream audit and inspection processes.

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