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Fight insurance fraud with GenAI and Graph

Increase accuracy and lower false positives in Financial Crimes. Register to learn how AI & automation can sharpen your investigations.

Our webinar initiates with a comprehensive overview of the current state of wealth and WealthTech, followed by an in-depth exploration of critical topics aimed at optimizing the efficiency and effectiveness of wealth advisors and self-directed investors, along with the tools at their disposal.

Join our upcoming webinar as we delve into the evolving landscape of anti-money laundering (AML), cyber, and fraud in the wake of impending changes set for 2024.

In this webinar we will explore these emerging enterprise capabilities - explaining where and how they will be deployed to best effect? Should firms be looking to build their own large language models - some like Bloomberg have done just this.

The focus of this webinar is to identify areas in which Graph DB and Graph Machine Learning, Geospatial, TimeSeries, AI/ML/LLM, Visualization, and Graph technology can increase the accuracy of claim fraud identification by over 45%, and to show how including the ‘Human in the Loop’ can get you ahead of your state’s fraud prevention legislation.

The Anti-Money Laundering (AML), Cyber, Trade Surveillance, and Fraud landscape in 2023 will face a significant change in operations due to a perfect storm of events: new US Government regulations, world conflicts accelerating movement and hiding of money, and technological advances, including LLM/ML and spatial analytics.

The convergence of workflow optimization and the financial desktop has become a driving force in shaping the future of financial operations. Join us for a discussion on the technology and business model developments that are shaping the industry.

During this webinar, we see how the Expero platform can harness the power of ML, real-time IoT, and Graph technology driven by easy to utilize visualizations in order to tackle these complex and powerful use cases.

The focus of this webinar is to identify what the status quo in current fraud detection approaches, how MIDAS and streaming techniques can improve results, and the use of Visualization for MIDAS Inspection while learning how Imply’s Druid-based offering can be applied for a MIDAS implementation.

The focus of this webinar is to identify how these technological advances can directly increase the accuracy while decreasing the process time for ‘Human in the Loop’ resulting in more claims processed and more money saved.

Graph Product Selection

Data Products Strategy and Implementation

Healthcare Solutions using Graph and Kafka

Healthcare Solutions using Graph and Kafka

How Capacity Modeling Can Offer the Best Protection Against Erratic Market Demand

Use Graph and Machine Learning in Financial Services

Use Graph and Machine Learning to identify risk and fraud patterns

Use Graph and Machine Learning to identify risk and fraud patterns

Technology for deploying scalable machine learning-based products otherwise known as data products.

Build a single view of your corporate security model using new capabilities in graph and streaming technology through which you can funnel all your access attempts to critical data.

A discussion on building data products in your organization to realize data science ROI

Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.

Join us as we partner with Confluent to bring you real world approaches for cutting cost, driving revenue & optimizing process.