When forward-deployed Army soldiers need air support, an operations center is tasked with identifying and assigning aircraft aid. With traditional software, an operator moves through a multistep process to search for available aircraft, identify their call signs and assess the munitions they carry. Pulling this relevant information can take several minutes—a long time to wait when making “real-time” decisions for immediate support.
Considering the massive amount of information the U.S. Department of Defense must sift through every day and increasingly sophisticated UAVs and UASs collecting even more data, it’s no surprise the Pentagon has turned to artificial intelligence for help.
The newly launched Chief Digital and Artificial Intelligence Office and efforts and strategies such as the Artificial Intelligence and Data Acceleration initiative, Joint All Domain Command and Control and JAIC shows that DoD recognizes the potential of AI in decision compression.
AI integration
The integration of AI is still largely siloed because access to networks that support individual missions remain stovepiped, as does the data access within those enclaves. Although efforts like JADC2 look to address this issue, difficulties associated with standing up hybridized infrastructures and training operational mission machine learning models keeps DoD from making significant progress.
The Pentagon also lacks standardized authorization to operate for automation and ML, further constraining the training and deployment of these models and degrading the capability of AI tools supporting the warfighter.
Continue reading: https://www.c4isrnet.com/artificial-intelligence/2022/10/26/artificial-intelligence-is-critical-to-accelerated-decision-making/
Considering the massive amount of information the U.S. Department of Defense must sift through every day and increasingly sophisticated UAVs and UASs collecting even more data, it’s no surprise the Pentagon has turned to artificial intelligence for help.
The newly launched Chief Digital and Artificial Intelligence Office and efforts and strategies such as the Artificial Intelligence and Data Acceleration initiative, Joint All Domain Command and Control and JAIC shows that DoD recognizes the potential of AI in decision compression.
AI integration
The integration of AI is still largely siloed because access to networks that support individual missions remain stovepiped, as does the data access within those enclaves. Although efforts like JADC2 look to address this issue, difficulties associated with standing up hybridized infrastructures and training operational mission machine learning models keeps DoD from making significant progress.
The Pentagon also lacks standardized authorization to operate for automation and ML, further constraining the training and deployment of these models and degrading the capability of AI tools supporting the warfighter.
Continue reading: https://www.c4isrnet.com/artificial-intelligence/2022/10/26/artificial-intelligence-is-critical-to-accelerated-decision-making/
