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Third Phase

                 Intelligent Knowledge-Based Systems(IKBS), were the main focus of the third phase of AI research.
                 They  were also referred to as "expert systems." To solve AI challenges, these systems use particular
                 domain-based data. The key high points of this time were:

                 1.  IKBS worked on data in the form of rules.
                 2.  IKBS was incapable of learning, and its focus was extremely narrow.

                 3.  IKBS lacked the common sense that made humans more suited for specific tasks and work.

                 Further Phase
                 So far, much effort and hard work in the AI field has resulted in a large number of weak AI with few
                 break through in the development of strong AI. Further research into AI means developing a system
                 that can learn and would not need to be regularly updated.

                 1. The first project based on AI systems that are capable of common sense and reasoning was made
                   by Cycorp Inc. The challenges of human language and the high ambition of the project caused it
                   to slow down.

                 2. However the recent progress in this direction used a concept called ‘Big Data’. This approach
                   involves capturing data from the web.

                 3. In this phase new techniques like Neural Networks and genetic algorithms  are developed for
                   machine learning.




                   Out of one million registered companies, 75% have already invested in machine learning.





                 Types of AI Careers

                 Career opportunities available in the field of AI are broadly divided into two categories.

                 Core Research Development and Deployment

                 These jobs requiring  advanced training  and education.  These jobs usually  related  to research,
                 development, and deployment of AI systems. Some of them are:

                 1. Machine Learning Engineers

                 2. Data Scientists
                 3. Business Intelligence Developers

                 4. AI Research Scientists

                 5. Software Analysts
                 6. Software Developers

                 7. Computer Scientists


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