Artificial Intelligence (AI) and its Significance

Artificial intelligence (AI) is a universal word for machines/systems that can perform tasks that conventionally need human cognitive skill like, acquiring information from data, giving clarifications to issues, identifying patterns making conclusions etc. Contrasting predictable software, AI will frequently learn and enhance performance by using novel information consequently, escalating accuracy and efficiency with use of time. The AI is significant at present as it is competent to enhance the productivity of organizations. AI is proficient to do things quicker than human beings. Business, organizations and individuals employ AI to take benefit of the huge amount of information that is being created each day in order to make superior decisions swiftly and effectively.

AI, Decision, Information, Real-time, cognitive abilities.

1. Russell, S. J., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall. [Google Scholar] [Crossref]

2. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521(7553), 436–444. [Google Scholar] [Crossref]

3. Chui, M., Manyika, J., & Miremadi, M. (2016). Where Machines Could Replace Humans—and Where They Can't (Yet). McKinsey Quarterly. [Google Scholar] [Crossref]

4. Jordan, M. I., & Mitchell, T. M. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science, 349(6245), 255–260. [Google Scholar] [Crossref]

5. Davenport, T. H., & Harris, J. (2007). Competing on Analytics: The New Science of Winning. Harvard Business Review. [Google Scholar] [Crossref]

6. Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. (2016). Deep Learning (Vol. 1). MIT Press. [Google Scholar] [Crossref]

7. Caruana, R., Lou, Y., Gehrke, J., & Koch, P.(2015). Intelligible Models for Healthcare: PredictingPneumoniaRiskandHospital30-Day Readmission. In Proceedings of the 21th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (KDD). [Google Scholar] [Crossref]

8. Floridi, L. (2016). The Fourth Revolution: How the Infosphere Is Reshaping Human Reality. Oxford University Press. [Google Scholar] [Crossref]

9. Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. [Google Scholar] [Crossref]

10. Newell, A., Shaw, J. C., & Simon, H. A. (1957). Report on a general problem-solving program. RAND Corporation. [Google Scholar] [Crossref]

11. Buchanan, B. G., & Shortliffe, E. H. (1984). Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley. [Google Scholar] [Crossref]

12. Newell, A., Shaw, J. C., & Simon, H. A. (1957). Report on a general problem-solving program. RAND Corporation. [Google Scholar] [Crossref]

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