Artificial intelligence and machine learning in the enterprise

Mahesh Tunguturi

Abstract


Synthetic intelligence is a part of almost every business nowadays; it facilitates enterprise operations, will increase productivity, and gives a variety of ways to speed up communique processes. artificial intelligence and software (or software packages hooked up on it), in addition to automation via AI systems, perform a number of the duties formerly finished through personnel and employees. Switching to an automatic working environment has ended in several needless enterprise fees, giant time savings, and sluggish income growth. The automation through AI of various enterprise approaches has taken many agencies and corporations to the subsequent degree in phrases of production and management. So, this article explains the role of artificial intelligence, system mastering, and cloud computing in business.

References


Toulmin, Stephen, 1958, The Uses of Arguments, Cambridge: Cambridge University Press.

Turner, Raymond and Nicola Angius, 2006, “The Philosophy of Computer Science”, in The Stanford Encyclopedia of Philosophy (Spring 2006 edition),

Van Fraassen, Bas C., 2008, Scientific Representation: Paradoxes of Perspective, Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199278220.001.0001

Waters, C. Kenneth, 2007, “The Nature and Context of Exploratory Experimentation: An Introduction to Three Case Studies of Exploratory Research”, History and Philosophy of the Life Sciences, 29(3): 275–284.


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