Meeting/Event Information


2026-2027 Schedule of EventS

WEBINARS

All Webinars are held from 1:00pm to 3:50pm CT

 

Date

Topic

Delivery

CPE

November 18, 2026

Ethics

Virtual

2 CPE

January 13, 2027

AI

Virtual

2 CPE

 

 

 

 

CHAPTER SPONSORED TRAINING EVENTS

Date

Topic

Delivery

CPE

December 15, 2026

Various Topics

In-person

4 CPE

February 26, 2027

Various Topics, including Past President Recognition 

In-person

2 CPE

March, 2027

Various Topics

In-person

8 CPE

April 22, 2026

Various Topics, including Awards Luncheon

In-person

4 CPE

FREE EVENTS by AGA National

December 2, 2026 Topic TBD (Field of Study: Personal Development) Webinar

1.5 CPE

February 24, 2027 Topic TBD (Field of Study: Personal Development) Webinar

1.5 CPE

March 30, 2027 Technology & Transformation Summit Virtual

6 CPE

May 4, 2027

Performance Counts Training (free for government members).  Topics Various Virtual

4 CPE

May 12, 2027

Topic TBD (Field of Study: Personal Development) Webinar

1.5 CPE

 As dates get closer, additional information on the speakers and topics will be provided.

 

 

 

 

 

Mid-MO AGA: National Webinar Series -- Fraud/Data Analytics May 10, 2023

 

May 10, 2023
1:00 PM - 2:50 PM
Add to Calendar

 

Webinar

Mid-MO AGA Chapter presents, on behalf of the National AGA Webinar series...

Graph Modeling and Analytics for Fraud Detection:

Addressing the "Needle in a Haystack" Problem


May 10 | 1:00–2:50 PM ET | 2 CPEs | FOS: AUDG

Speaker: Andrea Fletcher, Executive Director of the Digital Services Centers for Medicare & Medicaid Services

Cost:  $30/member, $40/non-member

REGISTRATION IS LIMITED TO FIRST 30 PEOPLE!!

Graph Modeling and Analytics has emerged as an important tool for fraud detection. Fraud detection is a quintessential "needle in a haystack" problem, where there is a very small amount of known fraud and very large amount of unknown cases.

Current fraud detection efforts may be insufficient for the following reasons:

  • The growing sophistication of fraudulent activities creates complex, high-dimensional, non-linear patterns.
  • Rules based approaches do not scale well and produce high false positive rates.
  • Fraudulent behavior is often deeply hidden behind seemingly innocuous behavior.
  • If fraud monitoring is based on historical patterns of behavior, it will fail to identify a new fraudulent behavior until it is too late to act.

 

During this webinar, we will discover and discuss:

  • How to use knowledge graphs to capture financial transactions, where a single account is represented as a vertex and a single transaction between two accounts is represented as an edge.
  • Utilizing graph analytics to investigate the complex connections between individuals, accounts, companies, and locations, mapping of thousands of relationships (edges) between thousands of entities (nodes).
  • A key concept is the "connectedness" between nodes. Connectedness can reveal relationships between nodes including:
    • Closeness - identify which nodes are most important to other nodes within a graph
    • Connected components - indication of relationships amount groups of nodes
    • Community detection - detecting groups that are densely connected internally but loosely connected externally
    • Ranking - establishing the trustworthiness of the nodes relative to the trustworthiness of similar nodes

 

REGISTRATION:  The Mid-MO AGA Chapter has already purchased the webinar through National.  If you would like to attend, you will need to register through the Mid-MO AGA Chapter website.  After registration, you will be provided with an access code to register with National, who will then send you the webinar link and materials.

Tickets

$30.00 AGA Member Ticket

$40.00 Non AGA Member Ticket