Cognitive Computing


Intelligent Autonomous Systems

We are on the verge of a new computing paradigm that will revolutionize the way we use and interact with computers – cognitive computing.

The goal of cognitive computing is to transform the way people go about their business and achieve things, especially in the big data era. Conventional computers are great for performing vast quantities of numerical calculations quickly. However, they don’t have the ability to sense their environment, learn, infer and interact like humans do. The aim of our cognitive based Knowledge Processing Framework (KPF) is to achieve these qualities –

Perceive – Plan – Perform.

KPF based systems are autonomous, adaptive and will have their own objectives to pursue. They will learn new things as new data becomes available. They will develop objective views and in doing so, hope to eliminate differing subjective bias from domain experts.

Cognitive computing will become essential as the processing and understanding of complex information contained in big data is beyond the scope of conventional computing and people. People will use cognitive computing as an intelligent informatics decision tool to shed light into problems that are too difficult comprehend and gain new insights into complex problems. Cognitive computing is a mix of disciplines that allows “computers” to understand situations, reason about them, learn and adapt. They can digest huge quantities of data and extract meaningful information. They are thinking machines. Cyceera’s Knowledge Processing Framework uses these technologies to implement Intelligent Decision Support Systems (IDSS) and Intelligent Autonomous Systems (IAS).

The use of cognitive computing will enhance the way we interact with computers, through gesture and voice recognition for example. The interaction will be more free-flowing and natural. The computers will understand gestures, natural language and emotions. The overall experience will much more enjoyable and productive.