Data Analytics Lab Presentation - Using AI and Machine Learning to Analyze Spend on Small Businesses

GSA wants to improve the utilization of small businesses on federal contracts. In support of this goal, they would like to use AI and machine learning to analyze procurement data from the Federal Acquisition Service (FAS). As part of this effort, GSA asked the ATARC Data Analytics and AI Lab (ADAAL) to build a Spend Analysis prototype focused on analyzing contracts awarded by various agencies over the past few years. The prototype was built using SymphonyAI’s patented award-winning EurekaAI platform, leveraging the secure lab environment provided by nAbleLabs.

The presentation will describe the background and scope of the GSA Spend Analysis Prototype, the EurekaAI platform used to implement it, results of the prototype, and potential next steps. The prototype was used to analyze FAS data for 376,000 IT contracts awards awarded over a 4-year period (2017 – 2021). Focus for the analysis was on contracts awarded by GSA, DOJ, HHS, and DOD. The analysis was performed using the EurekaAI platform which brings together the only commercially available implementation of Topological Data Analysis (TDA) and a broad range of machine learning, statistical, and geometric algorithms to create a visual representation of all the data points in a large data set. Using this visual representation, SymphonyAI was able to rapidly uncover critical patterns and relationships in the FAS contract data.