As use of artificial intelligence (AI) increases across the public and private sector, companies like Lockheed Martin are using AI advancements to further missions and to even collaborate with NVIDIA to address wildfires.
Speaking at the NVIDIA GTC Conference March 23, VP of AI at Lockheed Martin Justin Taylor broke down how AI is being used by his company for automation in its enterprise, production operations, and through its Cognitive Mission Manager.
“Across the enterprise, nearly every business function is benefiting from AI driven automation, from human resources for talent matching to IT for positioning help tickets, to the quality organization for optimizing their assessments and engineering for a breadth of capabilities, including accelerating product testing,” Taylor said.
As far as production operations, Taylor says Lockheed is adopting an AI-based scheduling system to optimize daily workflows as factories are increasingly automated.
“AI will be a game changer for our production efficiencies,” Taylor said. “A digital foundation enables us to incorporate advanced robotics, AI, and augmented reality into every step of the manufacturing process, and a flexible space that can be tailored to future partner requirements with minimal changes.”
Lastly, Taylor spoke about Lockheed’s collaboration with NVIDIA on addressing wildfires through its Cognitive Mission Manager. The two organizations are developing an AI mission manager to predict and assess wildfires to direct the suppression of the fires via cognitive multi-agent planning and asset coordination.
“A wildfire mission is analogous to many of the dynamic environments that our national security customers face,” Taylor explained. “A rapidly spreading wildfire is a complex problem. It takes coordination across many entities to efficiently surprise.”
This is where AI and its Cognitive Mission Manager program can come in handy, Taylor suggests. Intaking all the data during a natural disaster, such as asset response coordination, interpretation of the commander’s intent, and distributed tasking, can receive a boost through automation.