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

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

March 27, 2024 11:00 AM
CT /
12:00 pm
ET
ON DEMAND WEBINAR
March 27, 2024
-
March 27, 2024

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

  1. Challenges in Financial Crimes:
    • Unpack issues in the investigation and SAR processes
    • Explore emerging threat vectors
    • Understand impact areas of audit & compliance
    • Anticipate what lies ahead in 2024
  2. Technology Innovations:
    • Grasp the significance of new technologies like Kinetica
    • Explore next-generation GPUs and vectorized CPUs
    • Understand ML/Graph algorithms, master data matching logic, and graph analytics
    • Embrace LLM Models to reduce false positives and increase accuracy
  3. Empower Investigator Teams:
    • Unlock new capabilities in visualization technology
    • Enhance human processes to increase throughput
    • Leverage valuable human intelligence for Fraud Management, Investigators, and Data and Analytics teams
  4. Rise of ML & AI with ‘Explainable’ ML:
    • Learn practical methods for harnessing time-series, IoT data, spatial analytics, and ML/Graph algorithms
    • Incorporate LLM Models into streamlined processes
    • Involve non-technical investigators as ‘humans-in-the-loop’ for higher accuracy
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March 27, 2024
11:00 am
CT /
12:00 pm
ET
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Lower False Positives in Financial Crimes using LLM/ML and Spatial Analytics
America/Chicago
Mar 27, 2024 11:00 AM
CT /
Mar 27, 2024 12:00 PM
ET
https://experoinc.zoom.us/j/95164278371?pwd=ZWVCYTBPQlJBekRPQ1QxbUhBSkZ2Zz09
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Oops! Something went wrong while submitting the form.

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

  1. Challenges in Financial Crimes:
    • Unpack issues in the investigation and SAR processes
    • Explore emerging threat vectors
    • Understand impact areas of audit & compliance
    • Anticipate what lies ahead in 2024
  2. Technology Innovations:
    • Grasp the significance of new technologies like Kinetica
    • Explore next-generation GPUs and vectorized CPUs
    • Understand ML/Graph algorithms, master data matching logic, and graph analytics
    • Embrace LLM Models to reduce false positives and increase accuracy
  3. Empower Investigator Teams:
    • Unlock new capabilities in visualization technology
    • Enhance human processes to increase throughput
    • Leverage valuable human intelligence for Fraud Management, Investigators, and Data and Analytics teams
  4. Rise of ML & AI with ‘Explainable’ ML:
    • Learn practical methods for harnessing time-series, IoT data, spatial analytics, and ML/Graph algorithms
    • Incorporate LLM Models into streamlined processes
    • Involve non-technical investigators as ‘humans-in-the-loop’ for higher accuracy

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