The Anti Money Laundering (AML) landscape in 2021 will face a significant change in operations for banking, financial trading, lending institutions, healthcare, and casinos due to the US government’s passage of the National Defense Authorization Act, and with it, the enactment of the Anti-Money Laundering Act of 2020 (“AMLA”). This session will focus on how to use Graph and Machine Learning to better utilize and understand the data provided by the Financial Industry Business Ontology (FIBO) and the Office of Foreign Assets Control (OFAC) watch lists. During this webinar, we will show AML and Fraud practitioners how to use Graph and Machine Learning to ensure organizational compliance with AMLA in 2021.
This event is designed in a 'Speed Dating' format, focusing on key topics for under 15 minutes in order to maximize the insights. During this webinar, Expero’s team of experts will show you how to utilize TigerGraph, Machine Learning, and Visualizations to unlock the potential in your organization.
Key Learning Topics:
- Unique Challenges in AML in 2021 - discuss the Anti-Money Laundering Act of 2020 and other AML process changes; impact areas of audit & compliance and what is to be expected in 2021
- Watch List & Technology Innovations - how to integrate watch list data with new technologies like master data matching, graph analytics, and ML, and how they assist in the reduction of false positives and increase accuracy
- Empower the Investigator - discuss capabilities in visualization and human intelligence technologies that will increase throughput and provide valuable data analytics, and create quicker and more efficient outcomes for Fraud Managers, Investigators, and Data and Analytics teams
- Rise of ML & AI with ‘Explainable’ ML - how to implement practical methods of fraud identification, complex dependency and case management using ‘human-in-the-loop’ technology for higher accuracy and process streamlining
Session 1 (12 min): 2021 in AML - Overview of AML mandates like Anti-Money Laundering Act of 2020 and process changes that impact audit and compliance
Session 2 (12 min): Art of the Possible - Identify and demo how to use 3rd party data, Graph and Machine Learning, & Visualization solutions for processes improvements, provide alerts, & case management
Session 3 (12 min): AI & ML use cases for fraud investigation, complex dependency with ‘human-in-the-loop’ technology, accuracy improvements, and process streamlining
Session 4 (12 min): Knowledge Graph technology deep dive - how TigerGraph improves processes for: entity resolution, graph scoring & analytics
Session 5 (5 min): Open Q&A