Supportsoft Glossary

Cognitive Computing Systems for Human-Like Decision Making

Cognitive computing is a system that attempts to replicate thinking by human beings. Cognitive computing does not follow a set of rules (the way traditional software does) and learns to act based on data that it processes as well as through experience.

The methods of implementation of cognitive computing include machine learning (using algorithms to learn and grow), natural language processing (comprehending human language), and pattern recognition (to make sense of things that are not obvious as being connected to something).

In business, cognitive computing assists with decision-making, and human users will continue to make decisions. Cognitive computing allows humans to analyse large amounts of data from many different locations to identify solutions to complex issues.

Examples of how cognitive computing is used in business include analysing how a customer behaves, interpreting unstructured electronic documents, and evaluating multiple business scenarios to identify the best course of action.

Cognitive systems also help with intelligent monitoring, determining the root cause(s) of an issue, as well as resolving issues that are repeated.

Cognitive computing is well suited to work where data is ambiguous; it has the ability to discover information from multiple sources, adjust its results according to the newly discovered data, and thus learn from its experience as new information is obtained. This makes it ideal for healthcare, finance, customer service, and enterprise management.