Enhancing AML Transaction Monitoring and Name Screening with AI and Machine Learning

🔍 Enhancing AML Transaction Monitoring and Name Screening with AI & Machine Learning 🤖💼

🚀 Join Us for an Insightful CPD-accredited FREE Webinar! Proudly Sponsored by Complytek

📅 Date: 7th November 2024

🕓 London: 4:00 PM 🇬🇧

🕚 New York: 11:00 AM 🇺🇸

🕔 Paris: 5:00 PM 🇫🇷

🕖 Dubai: 7:00 PM 🇦🇪

🕕 Cyprus: 6:00 PM 🇨🇾

💻Where: Online

This webinar offers a comprehensive look at how Artificial Intelligence (AI) and Machine Learning (ML) are transforming the Anti-Money Laundering (AML) landscape, particularly in transaction monitoring and name screening. Attendees will gain insights into the latest innovations, best practices, and how these advanced technologies are improving the accuracy, speed, and efficiency of AML operations. Industry experts will share case studies demonstrating how AI-driven systems are being used to detect and prevent financial crimes with greater effectiveness and how compliance professionals can leverage these tools to stay ahead of evolving regulatory challenges.

AML transaction monitoring and name screening are foundational elements of any financial institution’s compliance program. Effective systems ensure early detection of suspicious activities, identify entities on watchlists or involved in illicit activities, and prevent transactions that may facilitate money laundering or terrorism financing. Without effective systems, institutions expose themselves to significant regulatory and reputational risks. This section will introduce the significance of these processes in detecting and combating financial crime.

Our esteemed guest speakers, industry experts, will share their insights on:

THE ROLE OF AI AND MACHINE LEARNING IN AML

• Key concepts of AI and machine learning.
• Traditional vs. AI-based transaction monitoring
• How machine learning models detect suspicious transactions.
• Supervised learning: Training models with labelled data .
• Unsupervised learning: Detecting anomalies without prior labels.
• Benefits: Improved accuracy, reduced false positives, and real-time monitoring.
• Case studies/examples of successful implementation.

Machine Learning in Name Screening Tools

• Challenges in Traditional Name Screening.
• Machine Learning Approaches to Name Matching and Entity Resolution.
• Natural Language Processing (NLP) for Understanding Variations in Names.
• Fuzzy Matching Algorithms.
• Integrating External Data Sources for Better Accuracy.
• Case Studies/Examples of Successful Implementation.

Regulatory and Ethical Considerations in AI-Driven AML Systems

• Compliance with International AML Regulation.
• Ensuring Transparency and Explainability in AI Models.
• Addressing Biases and Ensuring Fairness in Model Predictions.
• Privacy and Data Protection Concerns.

Implementation Strategies

• Steps to Integrate AI and ML into Existing AML Systems.
• Collaborating with Technology Vendors and Experts.
• Training and Upskilling AML Compliance Teams.

Future Trends in AI and Machine Learning for AML

• Emerging Technologies in AI for AML.
• The Role of Big Data and Cloud Computing in AML.
• Potential Future Applications and Innovations.

Closing Remarks

This is an excellent opportunity for professionals at all levels to deepen their knowledge and stay ahead of the latest trends in compliance. Whether you're part of a multinational corporation or a small business, this session will provide valuable insights tailored to your needs. You'll gain practical, actionable strategies to navigate the evolving landscape of compliance and financial crime prevention, ensuring your organization stays compliant and resilient in a rapidly changing world.

Don't miss the chance to learn from industry leaders and equip yourself with the tools needed to drive success and maintain best practices in compliance.

🔗 Reserve your spot today!

This webinar is proudly sponsored by Complytek

Your Trusted Regulatory Technology Partner

www.complytek.ai