ORGANIZATION

Our Mission

The CDAO is responsible for accelerating DoD adoption of data, analytics, and artificial intelligence (AI) from the boardroom to the battlefield to enable decision advantage. This mission has two parts:

Advancing deterrence

by ensuring our warfighters have the best digital capabilities.

Beating bureaucracy

by ensuring our critical business functions have the digital solutions to deliver for warfighters and taxpayers.

Our Approach

The CDAO approaches this broad mission by aligning its efforts into three categories:

ENABLE:

The CDAO enables the DoD’s adoption of data, analytics, and AI by setting formal standards, delivering best practices, building templates and tools, and defining acquisition pathways to deliver capabilities directly to DoD users.

SPEED:

The CDAO invests in equipment and staff expertise to develop and deliver solutions that meet cross-cutting and emergent requirements on an accelerated timeline.

SCALE:

The CDAO focuses on the delivery of large, central enterprise platforms that include data stacks; development environments and test and evaluation tools to build capabilities; the data, analytic, and AI enabled products that spread insights across the enterprise; and the assurance processes to build an interoperable ecosystem of platforms and products that are technically sound, secure, and work together to deliver real value.
Enablers Pyramid Diagram

Enablers

 

AI adoption is fundamentally governed by a set of key enablers. The CDAO aligns these key enablers in a “Hierarchy of Needs.”

 

Responsible AI Icon

At the top of the pyramid is Responsible AI, the DoD’s dynamic approach to the design, development, and use of AI capabilities. We employ a use-case-driven approach to pinpoint where AI can deliver the highest return on investment, while ensuring that its application aligns with our ethical principles and meets stringent cyber and operational requirements.



 

 

Analytics and Metrics Icon

The middle of the pyramid is insightful analytics and metrics. We need useful, meaningful, and accurate data-driven insights that allow us to understand specific domains. This analytic process can help identify potential areas for improvement.



 

 

Quality Data Icon

The foundation of this pyramid, which makes everything function, is quality data. While it is important to focus on the algorithms that power new capabilities, they are ineffective without reliable, high-quality data.

Our History

Digital transformation through integrated leadership and investment strategies

2021

Four separate organizations within OSD — the Joint Artificial Intelligence Center (JAIC), Defense Digital Service (DDS), the Chief Data Officer (CDO), and the Advana program from within Under Secretary of Defense (Comptroller) — collaborate on digital transformation

Plus Icon

CDO and JAIC partner to kick-off the AI and Data Accelerator initiative for Combatant Commands

Plus Icon

Advana partners with CDO in advancing executive analytics and federated data cataloging

Plus Icon

DDS performs independent analysis providing recommendations for Advana and CDO

2022 - 2023

Organizations are consolidated as a Principal Staff Assistant (PSA)

Plus Icon

Supporting Tier of Governance forum, CDAO Council, established

Plus Icon

Data, Analytics and AI Adoption Strategy released, with the AI Hierarchy of Needs prioritizing precursors necessary for sustainable AI at scale

Plus Icon

CDAO assumes leadership of USNORTHCOM's Global Information Dominance Experiment series

Plus Icon

CDAO assumes leadership for SUNet and begins rationalizing enterprise platforms and services

2024

Dr. Radha Plumb, named as the second CDAO, charged with institutionalizing CDAO as a PSA

Plus Icon

Executive leadership brought onboard to bolster four key organizations: Mission Analytics, Enterprise Platforms and Services, Business Operations, and the Advanced C2 Accelerator (AC2A)

Plus Icon

New acquisition approach to advance a marketplace of data-driven tech stacks (Open DAGIR), aligns Advana and key AC2A capabilities to an improved open data standards architecture