Evolving Intelligent Systems (EIS)

Concept and definition

Evolving Intelligent Systems (EIS)

What is Evolving Intelligent Systems (EIS)?

The evolution of intelligent systems refers to the process of continuous improvement and adaptation of intelligent systems over time, as they face new challenges and accumulate more experience and knowledge.

In artificial intelligence and machine learning, intelligent systems evolve through the constant feedback they receive through interaction with the real world and feedback from users. This allows systems to adapt to different environments and situations, and improve their performance and accuracy in performing specific tasks.

The evolution of intelligent systems also involves the improvement of the algorithms and models used in the systems, as well as the incorporation of new techniques and technologies that enable faster and more accurate processing of large volumes of data.

In short, intelligent systems evolution is the process of continuous improvement and adaptation of intelligent systems as they face new challenges and as more experience and knowledge is accumulated. It is a fundamental part of the development of artificial intelligence and machine learning, as it enables the creation of more efficient and accurate systems to perform specific tasks.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
3 contributions of Artificial Intelligence to the telecommunications sector

Artificial intelligence is increasingly used and applied in many sectors, and as it could not be less, it has entered with force in the field of [...]

Read More »
The Artificial Intelligence Law: A Brief Explanation

Since 2008, several countries have enacted legislation that recognizes the importance of integrating artificial intelligence (AI) into key areas of life [...]

Read More »
How to foresee customer payment problems with Artificial Intelligence

Today we are going to talk about how to foresee payment problems and foresee the problems in those customers who are currently not giving it to you. In G [...]

Read More »
4 keys to identify customer needs

In order to identify the customer's needs, it is necessary to know their opinion, as this helps to detect where you should improve, what acceptance you [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies