Essays on Managing Innovations in an Organization - Artificial Intelligence Examination Case Study

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The paper "Managing Innovations in an Organization - Artificial Intelligence Examination" is a good example of a business case study. The intelligence and capability exhibited by machines or that of software are referred to as artificial intelligence. In the same dimension, the process refers to the creation of computers or machines that are capable of showing intelligent behaviors (Mintzberg, Raisinghani, and Theoret 2006, p. 246). The intelligent agents are known to perceive the environment within their surrounding before taking actions that are deliberate and calculated. In the same vein, the results point to maximization of chances from the artificial intelligence use as the process involved the making of machines that have super intelligence and ability to reason on their own (Smoliar 2009, p. g 120).

The research involved in technology advancement is through technical and specialized forms as it is divided into subfields, which often have a failure in communication with each other. The divisions in the process are contained in the cultural and social factors that have been used in particular institutions or research institutions. The focal issues (or objectives) of Artificial Intelligence examination incorporate thinking, information, arranging, learning, normal dialect preparing (correspondence), discernment and the capacity to move and control objects.

General knowledge is still among the field's long haul goals. Currently, prevalent methodologies incorporate measurable techniques, computational insight and customary typical Artificial Intelligence. Sub-Types Frail Artificial Intelligence is a non-conscious PC knowledge, commonly centered on a thin undertaking (Mintzberg, Raisinghani, and Theoret 2006, p. 270). The insight of frail Artificial Intelligence is restricted. Counterfeit general insight (solid Artificial Intelligence) is the theoretical manmade brainpower in any event as brilliant as a human.

Such an Artificial Intelligence would be recursive, in that it could enhance itself. In progressive interims of expanded knowledge, such an element could hypothetically accomplish superintelligence in a moderately brief timeframe (Siler, Buckley, and Tucker, D 2007, p. g 56). One or more superintelligences could conceivably change the world so significantly and at such a high rate, that it might bring about a mechanical peculiarity (Smoliar 2009, p. g 123). Solid AI does not yet exist. The possibility of its creation rouses expectations of both guarantee and hazard and has turned into the subject of a serious progressing moral civil argument. Important Milestones Artificial Intelligence has been successfully used in cancer research and the trend identifications from the inventions.

From the advent of advancement in information technology, computer usage in the medical field has grown in a threshold (Staw and Ross 2007, p. g 40). The requisite applications fused with the intelligence programs have been incorporated in the trends used to determine the causative agents as well as possible inferences in terms of the spread and chances according to the differentiated regions.

Artificial Intelligence has also been in developmental use of conversational behavior and response mechanism to communication devices (Second international conference on artificial intelligence 2006). For example, the smartphones have used the technology to improve on GPRS locations and direction reliance with promoting question-answer sessions to customer requests. Another important milestone of Artificial Intelligence is through the use of robotics in human interactions (Staw and Ross 2007, p. g 60). Unlike before, the use of robots has increased in unprecedented levels as the basis of interaction is through super intelligence and determination of the same mechanism in functioning and reliability.

In turn, humans have managed to adopt the mechanism in using the robots as assistants to various roles and responsibilities.

References

Mintzberg, H, Raisinghani, D, and Theoret, A, 2006, The structure of "Unstructured" decision processes'. Administrative Science Quarterly. 21, 246-275.

Siler, W, Buckley, J, F, and Tucker, D, 2007, ‘Functional requirements for a fuzzy expert system shell', in E. Sanchez and L. A. Zadeh (eds.). Approximate Reasoning in Imeihgem Systems. Decision and Conlroi, Oxford: Pergamon.

Staw, B. M. and Ross, J, 2007, 'Behavior in escalation situations: antecedents, prototypes, and solutions', in B. M. Staw and L. L. Cummings (eds.). Research in Organizational Behavior, 9, 39-78. Greenwich, Conn.: JAI Press.

Bailey, T. 2007, Some Perspectives on the Management of Infor Mation Technology. Australian Journal of Management, 12(2), pp.159-183.

Barr, A., Feigenbaum, E. and Cohen, P. 2011, The Handbook of artificial intelligence. Stanford, Calif.: HeurisTech Press.

Berlatsky, N. 2011, Artificial intelligence. Detroit: Greenhaven Press.

Birdsall, W, 2010, Human capabilities and information and communication technology: the communicative connection. Ethics and Information Technology, 13(2), pp.93-106.

Cohn, J., Kelsey, A. and Fiels, K. 2001, Planning for integrated systems and technologies. New York: Neal-Schuman Publishers.

Groover, M. and Groover, M. 2007,. Automation, production systems, and computer integrated manufacturing. Englewood Cliffs, N.J.: Prentice-Hall.

Moore Stephen, F. 2007, Integrated automation development system and method. Computer Integrated Manufacturing Systems, 10(1), p.86.

Pellerin, C. 2012, SOFT INTEGRATED ASSEMBLY SYSTEMS. Assembly Automation, 12(2), pp.31-33.

Reese, D. 2008, Artificial intelligence. Artificial Intelligence, 27(1), pp.127-128.

Rockwell Automation helps manufacturers build fast, flexible Ethernet networks using device level ring technology. (2010). Assembly Automation, 30(1).

Second international conference on artificial intelligence. 2006, Artificial Intelligence, 28(3), p.349.

Smoliar, S. 2009, Logical foundations of artificial intelligence. Artificial Intelligence, 38(1), pp.119-124.

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