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Home Artificial Intelligence

CDAO Issues Inaugural Industry Challenge to Develop Data Ontology for Enterprise Workflows

by Kristen Smith
August 24, 2024
in Artificial Intelligence, DoD, News
CDAO Issues Inaugural Industry Challenge to Develop Data Ontology for Enterprise Workflows

The Department of Defense’s Chief Digital and Artificial Intelligence Office has launched its initial industry challenge to develop a global logistics data ontology for the Maven Smart System, or MSS.

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The first global information dominance experiments—a.k.a. GIDE—challenge seeks potential industry partners that can provide live logistics and sustainment data, curated digital insights and integrated applications, CDAO said in a Thursday post on Tradewinds Solutions Marketplace.

The requirements would be integrated into the MSS workflow through the Open Data and Applications Government-owned Interoperable Repositories, the office added, noting that Open DAGIR is a modern approach to scale data, analytics and artificial intelligence capabilities.

According to CDAO, it uses MSS as a common platform for the combined joint all-domain command and control workflows.

Through the new challenge, CDAO seeks enriched data objects in five categories, namely nodes, modes, resources, requirements and risk, which would be the model for integration with current workflows and decision support tools.

The same categories require a stable data ontology to facilitate engagement for human planners, the office stressed.

Interested parties are invited to submit proposals that can cover an entire task set or a single sub-task outlined under the three problem statements that the GIDE challenge aims to address.

Proposals will be accepted until September 7.

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