Artificial Intelligence
Discover the potential of AI to observe, analyse and make decisions, especially for extremely complex problems or for a set of data too large to be interpreted by human brains.
Technique Overview
Artificial Intelligence Definition
Artificial Intelligence (AI) is the science and engineering of making intelligent machines. The concept relates to using computers to emulate processes and behaviours of human intelligence, by engineering knowledge representation and agency response in a complex environment (Russell and Norvig, 2016).
Artificial Intelligence Description *
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Business Evidence
Strengths, weaknesses and examples of Artificial Intelligence *
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Business Application
Implementation, success factors and measures of Artificial Intelligence *
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Professional Tools
Artificial Intelligence videos and downloads *
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Further Reading
Artificial Intelligence web and print resources *
Artificial Intelligence references (4 of up to 20) *
- Bengio, Y.; LeCun, Y.; Hinton, G. (2015). "Deep Learning". Nature. 521: 436–444.
- Chace, C. (2016) The Economic Singularity: Artificial intelligence and the death of capitalism. San Mateo, CA:Three C's
- Dyess, A. (2008) No Worms in These Apples Applications: Essays on the Use of AI. Thinkquest.
- Gomez-Uribe,C.A.,Hunt,N. (2015). The Netflix recommender system: Algorithms, business value, and innovation. ACM Trans. Manage. Inf. Syst. 6, 4, Article 13 (December 2015)
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