Improve Improper Payments Analytics Using Google Cloud

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• Mar 04 2021
  2:00 - 3:00 pm EST

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• Online Webinar

With states experiencing an overwhelming number of Unemployment Insurance Claims and Pandemic Unemployment Assistance Claims, it’s critical to have the correct systems in place to properly process those claims. Federal, state and local government agencies must ensure that improper payments and fraudulent claims are flagged, assistance reaches the correct citizens in a timely manner, and agents are not overloaded with manual claims processes.

SpringML developed a Google Cloud-based solution using machine learning to help identify patterns in the claims and use AI-based algorithms to detect abnormal activities — and got it up and running in just 4-6 weeks. Join us for a one hour webinar on Thursday, March 4, 2021 to learn how our solution helps you boost accuracy, improve efficiency and minimize friction when processing social services claims.

We’ll cover the following topics:

• How to ingest and secure a massive amount of UI claims data in Google Cloud – and why moving to the cloud is critical for handling the next unexpected spike in claims without having to add more resources
• An end to end look at the claims process and where to build in configurable flags and pattern detection algorithms
• How to use AI-based verification to detect/confirm suspected fraudulent activity, reducing your chances of issuing improper payments and ensuring that minor mistakes don’t result in major processing delays
• Ways to reduce manual workload and conserve resources by automating the improper payment detection process, allowing your investigators to focus on seamlessly processing verified claims
• Project implementation timeline for getting a solution in place in as soon as 4-6 weeks

Plus, get access to industry experts who will be available to answer your questions following the webinar. Register now to secure your seat at this free and informative event.