Cognitive Computing is the application of computerised models to bracing the human thought process in complex situations where the answers may be ambiguous and uncertain. The phrase is closely associated with IBM’s cognitive computing system, IBM’s Watson said. This technology is associated with certain concepts in Artificial Intelligence such as deep learning, expert systems, neural networks, natural language processing, reasoning, speech recognition, etc. that help in improving human decision-making.
Some of the features of this trending technology are given below which make this technology more competitive:
- Stateful
- Interactive
- Contextual
- Interactive
- Adaptive
Some examples and applications of cognitive computing:
This system is used for accomplishing tasks that need the praise of large amounts of data. For example: in computer science, cognitive computing aids in big data analytics, understanding human language, identifying trends and patterns, and interacting with customers. Areas, where Cognitive Computing is used in various industries, are:
- Healthcare
- Retail
- Banking and finance
- Logistics
Some of the Cognitive Computing included advantageous are:
- Analytical Accuracy
- Business process efficiency
- Customer interaction and experience
- Employee productivity and service quality
Some of the disadvantageous of Cognitive Computing are:
- Security challenges
- Long development cycle length
- Slow adoption
- Negative environment impact
Some skills need to become a Cognitive Computing Engineer are given below:
- You should be good at building apps/
- You need to have good knowledge of the latest technologies.
- You need to be more innovative.
