They have agreed to combine RUAG Space's latest single board computer for satellites called "Lynx", with Stream Analyze' analytics platform "sa.engine", to provide solutions for space customers' future Artificial Intelligence applications in space. A "smart" satellite will be able to automatically send messages to Earth of its own performance and status, such as: "Hello, it seems like I am going to use 20% more energy than usual next week. Is that ok?" instead of just raw data.

The Department of Defense's Office of the Chief Information Officer, or DoD CIO, is pursuing several efforts to make sure the U.S. combatant commands have the fundamental tools to enable artificial intelligence and machine learning to aid their operational command and control. The DoD CIO's efforts naturally hinge on data and data management, an appropriate transport layer and future cloud capabilities, solutions that will benefit a broad range of warfighters not just at the commands, said Kelly Fletcher, who is performing the duties of the department's chief information officer on behalf of John Sherman, the nominated CIO who is currently going through his confirmation process for the position and testifying tomorrow in front of the U.S. Senate. A senior executive service official, Fletcher has been working in the office since 2020. She presented a keynote address during AFCEA International's TechNet Cyber conference in Baltimore on October 27. Fletcher emphasized that the DoD CIO's office supports more than 40 major combatant commands, services and agencies, "and they all have unique requirements," she said.

The application of Artificial Intelligence (AI) requires that data be processed at the speed of operations in order to analyze the performance of any given process system. In this way, important decisions can be made quickly to improve the performance of the operation. But for those decisions to be made in real-time, data must be of the highest quality, and that presents a challenge to the industry. IoT has driven a tremendous explosion in the quantity of data. Today, there are many sensors measuring and providing data on temperature, flow, vibration, product viscosity and energy consumption, just to name a few. Add, for example, video and images to that mix and you start to get a feel for the vast amount of data that has to be processed.