Webcast: AI-Driven Fraud Detection – The Viable & Future Proof Solution
Discover in this webcast how AI-based solutions mitigate fraud, reduce losses, and help businesses remain competitive.
15 Oct 2020
Fraud is a significant cost factor for many industries and includes theft, money laundering, terrorist finance, and other crimes. Every payment stream is potentially subject to potential fraud, which is compounded by the fact that most payment transactions are today done digitally.
AI can play a significant part if detecting and mitigating fraud in the financial sector – but what does that look like in practice? How can your organization benefit from AI-Driven fraud detection? In this webcast, hosted by AI experts Maxime Dehaut, Lead Architect, Codit Luxembourg, and Frank Roessig, Head Cloud Apps, Data & AI, Telindus Luxembourg, you’ll learn why financial institutions are embracing AI-Driven fraud detection as a key component in their strategy to mitigate fraud.
In this webcast you will learn:
- The main digital tools to mitigate fraud.
- Rule-based tools can be augmented by Machine Learning. How does this work? What are the advantages?
- Insights on how to implement ML-driven fraud monitoring solution.
- The challenges when working with AI-Based Fraud Management solutions.
Save your seat today!
Lead Architect, Codit Luxembourg
As Lead Architect, Max is responsible for overseeing all technical aspects within the local region of Codit. He closely works with Codit’s CTO and domain leads to guarantee the overall technical quality and competencies. He helps to define and implement the technological strategy with a focus on Decision Management, IoT & Machine Learning.
Head Cloud Apps, Data & AI, Telindus Luxembourg
As Head of Cloud Apps, Data & AI at Telindus Luxembourg, Frank spearheads the development of novel solutions encompassing Data Valorization, Digital Client/Counterparty Management and Collaborative Processes. These are founded on AI, Blockchain, Cloud and other cutting-edge technologies, that enhance client experience and optimize operational efficiency