Cognitive Computing

What is Cognitive Computing?

Cognitive computing makes it possible to imitate human thought processes with the help of artificial intelligence applications. It is possible to create one's own strategies and solutions based on past experience. These systems can interact with the environment in real time and process large amounts of data.

Definition of Cognitive Computing

Cognitive computing is a subfield within the Artificial intelligence (AI). It focuses on the ability of computers to learn, think and make decisions like humans.

Although relatively new, the concept behind it has been around for many years. It refers to computer systems that can learn independently and are programmed to solve problems intelligently.

Artificial intelligence, such as deep learning and Data mining, is used to mimic human thinking and learning. Cognitive systems are not designed to solve specific problems, but learn from the data and experience they have gathered. They analyse the data to develop their own strategies and solutions. Self-learning IT systems can interact with the environment in real time and use the information to develop their own insights.

Big Data environments as a basis

Data is available in many unstructured formats. Big Data environments enable the use of techniques and database systems. Cognitive computing is about creating intelligent computer systems that can solve problems and automate solutions without the help of humans. The core components of cognitive computing are machine learning algorithmswho continuously analyse the available data and refine their analytical methods.

Cognitive computing and speech recognition systems

Cognitive computing systems communicate with humans using speech processing and speech recognition. IBM Watson is a well-known cognitive computing platform. Watson beat human contestants in "Jeopardy! ".

The prerequisites for cognitive computer systems

To understand the capabilities of cognitive computer systems, one must first understand their prerequisites. For systems to function similarly to the human brain, certain prerequisites are necessary. Interaction with humans and machines must be dynamic and occur in real time as information changes or becomes unclear. This requires near real-time processing. Cognitive systems also need to take into account contextual features such as time, place and people that influence the meaning of information input by users through text/language/gestures, etc.

Examples and applications

The most important characteristic of C. Computing is the ability to process large amounts of data from various sources quickly. High-performance database management techniques based on NoSQL are used to achieve comparable, if not better, results than humans.

C. Computing is used in many areas, including finance, medicine, industry and the Internet of Things. C. Computing can be used in e-commerce to provide personalised product recommendations based on customer behaviour and user profiles. Speech computers are used to offer suitable solutions with cognitive methods.

Search engines and cognitive computing

C. Computing has many important uses. It supports search engines and provides more relevant results for people searching for information online, such as directions or medical diagnoses. Cognitive systems can also process images using AI. This allows machines to make better decisions than humans and reduces the error rate of doctors/technicians.

Conclusion

The main feature of C. Computing is the ability to process large amounts of data from different sources faster than humans. This makes it possible to complete tasks that would otherwise take much longer without making mistakes.

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