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How to Build an AI-based Surveillance Strategy

By 1 Jun, 2020June 10th, 2020Insights, Technology Trends

For many years now, public and regulatory interest in misconduct by individuals within financial services firms has been high and shows no signs of abating in the current climate.

It is therefore imperative that organisations have robust and effective strategies in place to identify and address potential cases of misconduct before they escalate. An effective communications surveillance toolbox is an essential part of this strategy.

Historically, most communications surveillance was lexicon based – built on searches for given key words – and this was a sound strategy when key word selections were exhaustive enough. However, with increasingly varied communications media, data volume and sophisticated behaviours, simple search technologies become slow, inefficient and ineffectual, and many firms are realising that a new approach is required. While, much of this interest is focused on the use of Artificial Intelligence (AI) and how it can be used to improve communications surveillance practices, does the industry fully understand what it can offer?

This webinar explores the reality of AI and how it can be used to build an efficient and effective communications surveillance strategy, and address three main areas that challenge lexicon-based platforms – removing irrelevant content, pinpointing risk or misconduct and increasing reviewer understanding.

    To see how AI can be used to help you build an effective surveillance strategy, input your details to view the webinar.

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