U.S. Department of Energy

Pacific Northwest National Laboratory

Decision Support: Trusting the data to make an informed decision

Can the machine recommend an analysis approach or course of action?

Decision making is the responsibility of the operational user, but in the streaming environment it is difficult to consistently leverage relevant intelligence across organizations. 

AIM developed ways to provide support for both human and machine decision making based on continuous streams of data. Streaming decision support improves the efficiency, transparency, and effectiveness of decision making as well as provides the ability to transfer work to earlier stages in the analytic workflow.  

AIM capabilities and solutions

  • Sparse metric calculations
  • Baseline computation
  • Robust error checking
  • Online learning
  • Dynamic decision support
  • Real-time cognitive modeling
| Pacific Northwest National Laboratory