Cognitive Artificial Intelligence

Cognitive Reasoning for Improved Decision-Making and ROI
Cognitive Reasoning for Improved Decision-Making and ROI

The Beyond Limits hybrid of conventional numeric AI (machine learning, neural networks, and deep learning) plus advanced symbolic AI techniques enable our systems to analyze, reason, hypothesize, correlate, plan, learn, and teach. The system produces clear advice weighed according to human expert knowledge and best practices. On top of comprehending vast amounts of data, our solutions bring situational awareness plus human-like reasoning to diagnosing issues, prognosticating problems, and suggesting remedies.

In contrast to conventional AI approaches, Beyond Limits cognitive AI solutions are always “explainable”. Our cognitive engines deliver transparent audit trails explaining the reasoning behind their recommendations and showing the evidence, risk, confidence, and uncertainty. These audit trails are designed to be understood by people and interpretable by machines. We build cognitive systems that think like experts and produce operational efficiencies at scale that equate to new revenue and increased profits. We have a new term for this new form of ROI generated by AI: “RAI” or Revenue from AI.

 

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Hypothetical Paths to Predict the Future

AI applications involving high-value assets require human-like understanding of complex domains that can adapt to uncertainty in both knowledge and data, supporting answers with human-understandable audit trials. This requires the integration of different learning and adaptation techniques to overcome limitations of individual technologies and achieve synergetic effects through hybridization of symbolic and numeric technologies.

The key to cognitive AI is to build an initial set of models and propose hypothetical extensions. Beyond Limits cognitive AI systems have the unique capability to look for guidance from encoded human expert knowledge combined with historical and external data. We can therefore model hypothetical paths to predict the future and propose courses of action to make smart decisions, even under less-than-ideal data conditions. This approach has been essential to NASA’s exploration of the unknown in space and has great power to solve problems for industries on earth.

 

 

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Hypothetical Paths to Predict the Future