Lower False Positives in Financial Crimes using LLM/ML and Spatial Analytics

Navigating the Transformative Landscape of Financial Crimes: A Look into 2024

As we step into 2024, the Anti-Money Laundering (AML), Cybersecurity, Trade Surveillance, and Fraud landscape is undergoing a profound shift, influenced by a convergence of factors. The interplay of new US Government regulations, global conflicts accelerating the movement and concealment of funds, and groundbreaking technological advancements is reshaping operations across industries. In addition, Generative AI models with Retrieval-Augment Generation (RAG) combined with time series, geospatial analytics and graph algorithms are transforming Financial Crimes programs.

Join us for an insightful webinar as we delve into the dynamic world of Financial Crimes and explore the challenges and opportunities presented by ever-more sophisticated fraudsters operating in real-time. In this changing landscape, there is a critical need for Financial Crimes investigators – encompassing AML, Credit Card, Trade Surveillance, and KYC teams – to embrace cutting-edge technology. The focus is clear: reduce false positives, increase alert-to-case accuracy, and enhance overall effectiveness.

Our distinguished panel of speakers from Kinetica and Expero will lead a thought-provoking discussion on key technology approaches. Delve into TimeSeries, geospatial data, generative AI, Machine Learning, Visualization, and Graph Analytics technology trends with hands-on demos that illustrate why maintaining the status quo is no longer an option. Discover how to keep your investigation teams ahead of potential gaps in your anti-fraud solutions and adapt to evolving government AML legislation.

What you'll learn:

Challenges in Financial Crimes: Unpack investigation and SAR process issues, explore emerging threat vectors, understand audit and compliance impact areas and anticipate 2024 developments.

Technology Innovations: Gain insight into how utilizing machine learning, generative AI, time-series and geo-spatial analytics can generate more productive cases and save time and money.

Empower Investigator Teams: Create quicker and more efficient outcomes for investigation teams with visualization technology that finds deep linking connections and provides greater case accuracy.

Risk Management: Understand the role of visualization technology and human proImplement robust risk management frameworks to identify vulnerabilities and mitigate potential threats.

Rise of ML & AI with "Explainable ML": Learn practical methods of harnessing the ensemble of time-series, IoT data, spatial analytics and ML/Graph algorithms, including AI that involves non-technical investigators as "humans-in-the-loop" participants in the process which allows for higher accuracy and streamlined processes.