The US Department of Defense (DoD) is facing the challenge of developing a reference architecture model to drive adoption of AI capabilities across the enterprise. The organization requires a secure, cost-effective, and reliable test bed to enable the Chief Technology Officer (CTO) to explore and experiment with data, analytics and AI technologies that support the adoption of AI. The test bed must enable the CTO to have access to the latest technologies, leverage hybrid cloud solutions, facilitate cross-organization collaboration, test-run non-ATO’d vendor solutions, and yield tangible results that will positively influence the reference architecture model and drive AI adoption across the enterprise.
The Chief Digital and Artificial Intelligence Office (CDAO) is initiating an open call for innovative solutions to solve Department of Defense (DoD) problems. Innovative means any technology, process, business practice, or any application of an existing technology, process, or business practice that enhances mission effectiveness for the Government. The objective of this Call is to attract and identify best-of-breed solutions to solve the problem sets identified.
This Open Call to Industry is considered to have high potential for pilot project awards that may be accomplished via Other Transaction Authority (OTA) for Prototype Projects pursuant to 10 USC 4022b (formerly 2371b). As such, assessment activities conducted in furtherance a potential pilot project award agreement are considered competitive in the same manner as a Broad Agency Announcement (BAA) or Commercial Solutions Opening (CSO), and solutions will be assessed independently of one another primarily for technical merit. The procedures outlined in this Open Call are considered to satisfy the reasonable effort to obtain competition in accordance with 10 USC 4022b.
Operational Capabilities Desired
- Design and deploy
a digital ecosystem reference architecture experimentation test bed that supports capability experimentation and evaluation
- Assess and specify
hardware and software
requirements that support AI capability development and
assessment
- Enable development and experimentation of the latest
AI technologies
- Develop mechanisms for users of the test bed to measure and analyze the results of experimentation and
exploration
- Enable experimentation
with the evolving requirements of a living data mesh inside the DoD-relevant
MLOps development lifecycle
- Implement automated testing
capabilities for the test bed
- Instantiate collaboration capabilities that enable users
to share development artifacts
- Provide role and attribute access to the testbed
- Enable individual and collaboration workspaces
- Bring to bear hybrid cloud
and on-premises storage
computation and communication
as needed
- Design and develop
a data ingestion and storage
layer to support test bed activities
Expected Outcomes
The desired
outcome for the program is the creation of a collaborative, agile, secure,
hybrid cloud environment that enables experimentation, exploration, development, and assessment of new architecture prototypes, methodologies, and tools for Artificial
Intelligence (AI) adoption, including data and analytics.
Areas of Impact
CDAO, DoD
Project Objectives
- Design and deploy a digital ecosystem reference architecture
experimentation test bed that supports capability investigation
- Assess and specify hardware and software requirements
that support AI capability development and assessment
- Instantiate of collaboration capabilities that enable
experimentation test bed users to share development, experimentation, and
evaluation artifacts
- Provide role and attribute access to the test
bed
- Enable individual and collaboration workspaces
- Bring to bear hybrid cloud and on-premises as needed
Example
Milestones
- Instantiate the
experimentation test bed to support capability investigation
- Design and deploy
an interoperable data ingestion and storage layer
to support test bed
activities
- Design and deploy development and experimentation tooling
resources
- Enable individual and collaboration workspaces
with role and attribute access to the test bed
- Demonstrate ability to utilize hybrid cloud and
on-premise capabilities
- Technical and user documentation of the digital ecosystem reference
architecture experimentation test bed
- Maintenance plan and configuration management plan for the digital ecosystem reference architecture experimentation test bed
At this time, please indicate your company's interest in this announcement by following this challenge. If this announcement does transition into a solicitation, further guidance will be provided on white paper submission, presentations, etc.