Moving from Reactive to Proactive Compliance Practices in Financial Services with AI
The financial services industry is grappling with the challenges posed by rapidly evolving digital communication platforms such as WhatsApp and TikTok. While these platforms offer new opportunities for customer engagement, they also bring complex compliance and surveillance issues for internal risk teams.
Paper-era regulatory frameworks developed during the Great Depression are struggling to keep up with the Digital Age, resulting in substantial fines for financial institutions (FIs). In response, FIs are turning to AI tools, particularly in natural language processing and generative AI, to manage digital risks proactively.
A new white paper created in partnership with Emerj and Smarsh sheds light on how new AI capabilities can help mitigate the risk from the increased regulatory surface in modern banking.
With direct input from executive leaders from Goldman Sachs, HSBC, Standard Chartered Bank, and KeyBank throughout the white paper, business leaders downloading the report will find actionable insights to adopt AI for communications surveillance use cases in five key areas:
In this report, you’ll gain insight on:
- Prioritizing Effectiveness over Efficiency
- Finding the Right Tools
- Data Hygiene
- Tracing Conversations Across Platforms
- Find the Right Metrics
Ensuring your team is working smart not working too much in compliance workflows, by proactively identifying risks in rapidly evolving communications platforms.
Learn more about what challenges are suited explicitly for AI applications like natural language processing for effective regulatory navigation.
Maintain clean and well-managed data from the start to streamline compliance operations.
Address challenges in monitoring various communication platforms and adapt to changing communication preferences.
Employ advanced analytics to detect non-compliant activities while respecting data privacy requirements and internal policies.
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