Preview of Top 3 AI Use Cases for Financial Crimes and Fraud in 2021
Featured Speakers :
Constantin began investigating architectures for realtime decision engines and artificial intelligence in 1984.
Turning to real-world systems, he began developing and consulting on the development and implementation of real-time decision architectures in an array of fields. His experience led him to an early recognition that such architectures were ideally suited to payment fraud.
He holds a growing number of patents in the area of fraud prevention and has seven published books and 33 research papers on real-time decision making and artificial intelligence. His current work focuses on fielding systems to combat payment fraud. This is an area of rapidly increasing importance due to emerging business models enabled by smart mobile devices and social networks.
With more than 25 years of experience across Asia Pacific & Japan, Mr. Scheurmann has held senior management, governmental, pre-sales, and project direction positions for large MNCs, a leading finance and banking consultancy firm, and a major ERP software supplier. Steven is currently responsible for leading and working with a team of subject-matter experts and business partners that address the challenges associated with: Anti-Money Laundering (AML), Combating Financing of Terrorists (CFT) and Politically-Exposed Persons (PEP). His team works with end-customers applying deep insights, machine learning and Artificial Intelligence (AI) technologies, preventing Cyber Crime, real-time fraudulent transactions and the associated challenges of adopting digital solutions.
Complimentary webinar, presented by ACFCS and IBM
Financial Crime isn’t going away. Nor is exposure to criminal entities and fraud. In response to increasing incidences of fraud and the need to offer superior customer experience, financial Institutions have been increasing headcount and scaling up IT resources. These approaches are no longer sustainable. With access to AI tools and advanced analytics, financial institutions can mitigate fraud, offer unparalleled digital client experiences and reduce operational costs. The question then is ” Where and how to get started? ” One of the very first successful applications of AI technologies was in payments fraud management. The technology has since been tested and applied across multiple use cases in financial crimes. In this session, industry experts from IBM share the top 3 use cases where AI can be applied to mitigate financial crimes and why 2021 is the best year to embark on such initiatives.
Join this session to learn:
- Identify and explore top use cases where AI can be applied in financial crimes and fraud management in 2021
- Learn how AI can augment your legacy systems and pave way for innovative approaches that scale your financial crimes and fraud mitigation efforts
This session is eligible for 1 CFCS credits.
Important note for ACFCS members: Please register using the same email address tied to your member account.