Attachment 02 Epic Statement (AIML Enabled Gridded Reference Graphic (GRG)).docx
DOCX document 35 KB Posted
- Attached to
- SOFMC TAK Technology AOI
- Solicitation number
- H9241525X0003
- Issued by
-
United States Special Operations Command
About this file
This document is an Epic Statement for an AI/ML Enabled Gridded Reference Graphic (GRG) solution targeting Special Operations Forces (SOF) Tactical Operators. The proposed innovation aims to automate the manual process of creating reference graphics by leveraging artificial intelligence and machine learning to detect, identify, confirm, and label buildings within the TAK Suite of Software. Key business outcomes include streamlining mission planning processes and creating a more efficient graphic coordination tool.
The solution has specific non-functional requirements (NFRs) focused on maintainability and usability, including maintaining continuous integration/continuous deployment (CI/CD) capabilities for SOCOM, ensuring minimal new user training is required, and implementing a Modular Open Systems Architecture (MOSA) that allows for easy replacement of AI/ML models. This aligns with the United States Special Operations Command's (USSOCOM) broader initiative to enhance collaborative Tactical Assault Kit (TAK) software through innovative commercial solutions that can be demonstrated within an estimated 8-week period using agile development practices.
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Other files
| File | Type | Posted |
|---|---|---|
| Compiled QA List.xlsx | XLSX spreadsheet | |
| Attachment 01 Go_ No-Go Matrix_final.docx | DOCX document | |
| SOFMC TAK Technology AOI - SOF ATL-SDA.docx | DOCX document | |
| Question Answer Matrix.xlsx | XLSX spreadsheet |
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Text version
Attachment 02 Epic Statement: AI/ML Enabled Gridded Reference Graphic (GRG)
Epic Hypothesis Statement
| For |
| SOF Tactical Operators |
| who |
| plan missions |
| the |
| Gridded Reference Graphic (GRG) |
| is a |
| tool |
| that |
| provides a common reference graphic allowing multiple units to coordinate on an objective |
| unlike |
| the current tools |
| our solution |
| will leverage AI/ML detect, identify, confirm, and label buildings in the TAK Suite of Software, thereby creating a GRG |
| Business Outcomes |
| SOF Tactical Operators will be able to automate the incredibly manually intensive product creation process |
| Leading Indicators |
| GOV ONLY |
| NFRs |
| Maintainability: Dependencies for maintaining CI/CD to SOCOM |
Usability: Should not require in-depth new user training Maintainability: MOSA architecture to allow replacement of AI/ML model
File details come from the government source that posted it. Updated .