Collective learning and dynamic information processing that augments operations and optimization of shared resources, with built-in resilience through intelligent and adaptive automation and applications, such as enhanced weather forecasting and predictive routing efficiency.
Attributes
Steadily advancing in sophistication and breadth of possible applications
Deployed within or across diverse architectures, including onboard, cloud, and ground systems
Oriented toward micro-services rather than monolithic systems
Ongoing service improvement by leveraging continuous data collection and machine-learning advances
Bounded authority ensuring no compromise in safety as nascent systems mature
