Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

October 26, 2023
11:00 am
CT  /
12:00 pm
ET

The National Association of Insurance Commissioners (NAIC) cites that The Coalition Against Insurance Fraud costs businesses and consumers $308.6 billion a year.* Many of those claims are in property & casualty, automotive and also business insurance.  Further complicating the process, is all 50 states in the US have different regulatory bodies, each with different rules and regulations. Some states have enacted legislation to combat the different types of insurance fraud schemes such as agent and broker schemes, underwriting irregularities, vehicle insurance schemes, property schemes, doctor and personal injury schemes, up-charging damages, inflating damage values, salvage fraud, and many others. Special Investigations teams are looking at deeply linked patterns with Neo4J Graph algorithms to define other emerging new technology to reduce settlement times, optimize detection of fraud, while enhancing the claims adjustment efficiency.

Join Michael Moore, Senior Director, Strategy & Innovation at Neo4J and Scott Heath, VP Fraud & Analytics at Expero in a hands-on session that demonstrates how to employ ML with Neo4J Graph technology, Human-in-the-loop, and visualization techniques to ensure your organization complies with Special Investigations units.  

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. This event is designed in a 'Speed Dating' format, focusing on key topics for under 15 minutes in order to maximize the insights.

This event is designed in a 'Speed Dating' format, focusing on key topics for under 15 minutes to maximize the insights. During this online meetup, you'll learn from our experts how Neo4J and Expero can unlock the potential in your organization.


Key Learning Topics:

Key Challenges in Insurance Claim Fraud

Discuss issues in the investigation and claim fraud, loss and abuse processes, emerging threat vectors, impact areas of audit & compliance and what is to be expected in 2023/24.

Technology Innovations

Understand why fraud, waste and abuse investigators need to care about new technologies like Neo4J with next-generation AI combined with ML/Neo4J graph algorithms, master data matching logic, graph analytics and LLM Models. These technologies assist in reducing false positives and increasing accuracy.

Empower Investigator Teams

Explore new capabilities in visualization technology and human processes that increase throughput and provide valuable human intelligence, creating quicker and more efficient outcomes for different roles like fraud management, investigators and data and analytics teams by using AI/Graph analytics.

Rise of ML & AI with ‘Explainability’

Learn practical methods of harnessing the ensemble of AI, time-series, IoT data, spatial analytics, and ML/Graph algorithms, including LLM Models, that involve non-technical investigators as ‘humans-in-the-loop’ for higher accuracy and streamlined processes.

What you'll Learn

  • Session 1 (15 min): Frame The Complexity of Insurance Claim Fraud - Discuss new and proposed Government Regulations and other insurance fraud investigation process changes; impact areas of audit & compliance. Explore what is being done with Graph link analysis with graph algorithms to create solutions for new processes and how these techniques can be used with existing legacy systems and technology.

  • Session 2 (15 min): Neo4J Graph Analytics for Detection and Intervention - Learn how to implement practical uses and methods of claim fraud identification, complex dependency and case management with 'humans-in-the-loop' for higher accuracy and streamlined processes.

  • Session 3 (15 min): 'Art of the Possible' - Witness live demos of the Expero Connected platform that combines visualization matching, graph analytics and ML, assisting in the reduction of false positives and increasing accuracy.

  • Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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This webinar is presented by:

October 26, 2023
11:00 am
CT /
12:00 pm
ET

Hi there,

You are invited to a Zoom webinar.

When: Oct 26, 2023 11:00 AM Central Time (US and Canada)

Topic:  Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

Please click the link below to join the webinar:

https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09

Passcode: 720767

Or One tap mobile :

   +12532050468,,99719395470# US

   +12532158782,,99719395470# US (Tacoma)

Or Telephone:

   Dial(for higher quality, dial a number based on your current location):

   +1 253 205 0468 US

   +1 253 215 8782 US (Tacoma)

   +1 346 248 7799 US (Houston)

   +1 669 444 9171 US

   +1 669 900 6833 US (San Jose)

   +1 719 359 4580 US

   +1 646 931 3860 US

   +1 689 278 1000 US

   +1 301 715 8592 US (Washington DC)

   +1 305 224 1968 US

   +1 309 205 3325 US

   +1 312 626 6799 US (Chicago)

   +1 360 209 5623 US

   +1 386 347 5053 US

   +1 507 473 4847 US

   +1 564 217 2000 US

   +1 646 876 9923 US (New York)

Webinar ID: 997 1939 5470

   International numbers available:

https://experoinc.zoom.us/u/acfEkzhFT1

Add to Calendar
Add to Calendar October 26, 11:00 AM October 26, 2023 12:00 PM America/Chicago Expero Online Seminar: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Hi there, You are invited to a Zoom webinar. When: October 26, 11:00 AM Central Time (US and Canada) Topic: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Please click the link below to join the webinar: https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09 Meeting ID: 99719395470 Passcode: 720767 Or iPhone one-tap : US: +16699006833,,99719395470# or +16468769923,,99719395470# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923 Webinar ID: 99719395470 International numbers available: https://zoom.us/u/acsMb87P67 Online Organizer sales@experoinc.com false 11/01/2017 aQLrFIbcEzIdjnmocmhs26086
To access this event, it must be added to your calendar.
October 26, 2023 11:00 AM
(Central Time)
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Oops! Something went wrong while submitting the form.
October 26, 2023
11:00 am
CT /
12:00 pm
ET

Hi there,

You are invited to a Zoom webinar.

When: Oct 26, 2023 11:00 AM Central Time (US and Canada)

Topic:  Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

Please click the link below to join the webinar:

https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09

Passcode: 720767

Or One tap mobile :

   +12532050468,,99719395470# US

   +12532158782,,99719395470# US (Tacoma)

Or Telephone:

   Dial(for higher quality, dial a number based on your current location):

   +1 253 205 0468 US

   +1 253 215 8782 US (Tacoma)

   +1 346 248 7799 US (Houston)

   +1 669 444 9171 US

   +1 669 900 6833 US (San Jose)

   +1 719 359 4580 US

   +1 646 931 3860 US

   +1 689 278 1000 US

   +1 301 715 8592 US (Washington DC)

   +1 305 224 1968 US

   +1 309 205 3325 US

   +1 312 626 6799 US (Chicago)

   +1 360 209 5623 US

   +1 386 347 5053 US

   +1 507 473 4847 US

   +1 564 217 2000 US

   +1 646 876 9923 US (New York)

Webinar ID: 997 1939 5470

   International numbers available:

https://experoinc.zoom.us/u/acfEkzhFT1

Add to Calendar
Add to Calendar October 26, 11:00 AM October 26, 2023 12:00 PM America/Chicago Expero Online Seminar: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Hi there, You are invited to a Zoom webinar. When: October 26, 11:00 AM Central Time (US and Canada) Topic: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Please click the link below to join the webinar: https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09 Meeting ID: 99719395470 Passcode: 720767 Or iPhone one-tap : US: +16699006833,,99719395470# or +16468769923,,99719395470# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923 Webinar ID: 99719395470 International numbers available: https://zoom.us/u/acsMb87P67 Online Organizer sales@experoinc.com false 11/01/2017 aQLrFIbcEzIdjnmocmhs26086
To access this event, it must be added to your calendar.
October 26, 2023 11:00 AM
(Central Time)
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Oops! Something went wrong while submitting the form.

Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

On Demand Webinar

The National Association of Insurance Commissioners (NAIC) cites that The Coalition Against Insurance Fraud costs businesses and consumers $308.6 billion a year.* Many of those claims are in property & casualty, automotive and also business insurance.  Further complicating the process, is all 50 states in the US have different regulatory bodies, each with different rules and regulations. Some states have enacted legislation to combat the different types of insurance fraud schemes such as agent and broker schemes, underwriting irregularities, vehicle insurance schemes, property schemes, doctor and personal injury schemes, up-charging damages, inflating damage values, salvage fraud, and many others. Special Investigations teams are looking at deeply linked patterns with Neo4J Graph algorithms to define other emerging new technology to reduce settlement times, optimize detection of fraud, while enhancing the claims adjustment efficiency.

Join Michael Moore, Senior Director, Strategy & Innovation at Neo4J and Scott Heath, VP Fraud & Analytics at Expero in a hands-on session that demonstrates how to employ ML with Neo4J Graph technology, Human-in-the-loop, and visualization techniques to ensure your organization complies with Special Investigations units.  

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. This event is designed in a 'Speed Dating' format, focusing on key topics for under 15 minutes in order to maximize the insights.

This event is designed in a 'Speed Dating' format, focusing on key topics for under 15 minutes to maximize the insights. During this online meetup, you'll learn from our experts how Neo4J and Expero can unlock the potential in your organization.


Key Learning Topics:

Key Challenges in Insurance Claim Fraud

Discuss issues in the investigation and claim fraud, loss and abuse processes, emerging threat vectors, impact areas of audit & compliance and what is to be expected in 2023/24.

Technology Innovations

Understand why fraud, waste and abuse investigators need to care about new technologies like Neo4J with next-generation AI combined with ML/Neo4J graph algorithms, master data matching logic, graph analytics and LLM Models. These technologies assist in reducing false positives and increasing accuracy.

Empower Investigator Teams

Explore new capabilities in visualization technology and human processes that increase throughput and provide valuable human intelligence, creating quicker and more efficient outcomes for different roles like fraud management, investigators and data and analytics teams by using AI/Graph analytics.

Rise of ML & AI with ‘Explainability’

Learn practical methods of harnessing the ensemble of AI, time-series, IoT data, spatial analytics, and ML/Graph algorithms, including LLM Models, that involve non-technical investigators as ‘humans-in-the-loop’ for higher accuracy and streamlined processes.

What you'll Learn

  • Session 1 (15 min): Frame The Complexity of Insurance Claim Fraud - Discuss new and proposed Government Regulations and other insurance fraud investigation process changes; impact areas of audit & compliance. Explore what is being done with Graph link analysis with graph algorithms to create solutions for new processes and how these techniques can be used with existing legacy systems and technology.

  • Session 2 (15 min): Neo4J Graph Analytics for Detection and Intervention - Learn how to implement practical uses and methods of claim fraud identification, complex dependency and case management with 'humans-in-the-loop' for higher accuracy and streamlined processes.

  • Session 3 (15 min): 'Art of the Possible' - Witness live demos of the Expero Connected platform that combines visualization matching, graph analytics and ML, assisting in the reduction of false positives and increasing accuracy.

This webinar is presented by:

Drop your information below to watch the webinar

Hi there,

You are invited to a Zoom webinar.

When: Oct 26, 2023 11:00 AM Central Time (US and Canada)

Topic:  Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

Please click the link below to join the webinar:

https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09

Passcode: 720767

Or One tap mobile :

   +12532050468,,99719395470# US

   +12532158782,,99719395470# US (Tacoma)

Or Telephone:

   Dial(for higher quality, dial a number based on your current location):

   +1 253 205 0468 US

   +1 253 215 8782 US (Tacoma)

   +1 346 248 7799 US (Houston)

   +1 669 444 9171 US

   +1 669 900 6833 US (San Jose)

   +1 719 359 4580 US

   +1 646 931 3860 US

   +1 689 278 1000 US

   +1 301 715 8592 US (Washington DC)

   +1 305 224 1968 US

   +1 309 205 3325 US

   +1 312 626 6799 US (Chicago)

   +1 360 209 5623 US

   +1 386 347 5053 US

   +1 507 473 4847 US

   +1 564 217 2000 US

   +1 646 876 9923 US (New York)

Webinar ID: 997 1939 5470

   International numbers available:

https://experoinc.zoom.us/u/acfEkzhFT1

Add to Calendar
Add to Calendar October 26, 11:00 AM October 26, 2023 12:00 PM America/Chicago Expero Online Seminar: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Hi there, You are invited to a Zoom webinar. When: October 26, 11:00 AM Central Time (US and Canada) Topic: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Please click the link below to join the webinar: https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09 Meeting ID: 99719395470 Passcode: 720767 Or iPhone one-tap : US: +16699006833,,99719395470# or +16468769923,,99719395470# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923 Webinar ID: 99719395470 International numbers available: https://zoom.us/u/acsMb87P67 Online Organizer sales@experoinc.com false 11/01/2017 aQLrFIbcEzIdjnmocmhs26086
To access this event, it must be added to your calendar.
October 26, 2023 11:00 AM
(Central Time)
X
Oops! Something went wrong while submitting the form.
Drop your information below to watch the webinar on demand

Hi there,

You are invited to a Zoom webinar.

When: Oct 26, 2023 11:00 AM Central Time (US and Canada)

Topic:  Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB

Please click the link below to join the webinar:

https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09

Passcode: 720767

Or One tap mobile :

   +12532050468,,99719395470# US

   +12532158782,,99719395470# US (Tacoma)

Or Telephone:

   Dial(for higher quality, dial a number based on your current location):

   +1 253 205 0468 US

   +1 253 215 8782 US (Tacoma)

   +1 346 248 7799 US (Houston)

   +1 669 444 9171 US

   +1 669 900 6833 US (San Jose)

   +1 719 359 4580 US

   +1 646 931 3860 US

   +1 689 278 1000 US

   +1 301 715 8592 US (Washington DC)

   +1 305 224 1968 US

   +1 309 205 3325 US

   +1 312 626 6799 US (Chicago)

   +1 360 209 5623 US

   +1 386 347 5053 US

   +1 507 473 4847 US

   +1 564 217 2000 US

   +1 646 876 9923 US (New York)

Webinar ID: 997 1939 5470

   International numbers available:

https://experoinc.zoom.us/u/acfEkzhFT1

Add to Calendar
Add to Calendar October 26, 11:00 AM October 26, 2023 12:00 PM America/Chicago Expero Online Seminar: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Hi there, You are invited to a Zoom webinar. When: October 26, 11:00 AM Central Time (US and Canada) Topic: Combating Claim Fraud: Reduce False Positives with AI, LLM & Graph DB Please click the link below to join the webinar: https://experoinc.zoom.us/j/99719395470?pwd=SHJOdDNMRlJ3a2w5b1lzaXowMkRxZz09 Meeting ID: 99719395470 Passcode: 720767 Or iPhone one-tap : US: +16699006833,,99719395470# or +16468769923,,99719395470# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923 Webinar ID: 99719395470 International numbers available: https://zoom.us/u/acsMb87P67 Online Organizer sales@experoinc.com false 11/01/2017 aQLrFIbcEzIdjnmocmhs26086
To access this event, it must be added to your calendar.
October 26, 2023 11:00 AM
(Central Time)
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Oops! Something went wrong while submitting the form.