000			03122nam a22003617a 4500
003			OSt
005			20250618162337.0
008			250618b |||||||| |||| 00| 0 eng d
020			_a9783031556142 _q(hardcover)
040			_erda _aSai University Library
082	0		_223 _a006.3 _bGAU
245			_aRole of Explainable Artificial Intelligence in E-Commerce / _bedited by Loveleen Gaur, Ajith Abraham
250			_a1st edition 2024
260			_aCham : _bSpringer _c2024
264		1	_aCham : _bSpringer _c©2024
300			_aviii, 135 pages : _billustrations ;
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490			_aStudies in Computational Intelligence _v1094 _x1860-9503 ;
504			_aIncludes bibliographical references
520			_aThe technological boom has provided consumers with endless choices, removing the hindrance of time and place. Understanding the dynamic and competitive business environment, marketers know they need to reinforce indestructible customer experience with the support of algorithmic configurations to minimize human intrusion. World Wide Web (WWW) and online marketing have changed the way of conducting business; with artificial intelligence (AI), business houses can furnish a customized experience to fulfil the perceived expectation of the customer. Artificial intelligence bridges the gap between business and prospective clients, provides enormous amounts of information, prompts grievance redressal system, and further complements the client’s preference. The opportunities online marketing offers with the blend of artificial intelligence tools like chatbots, recommenders, virtual assistance, and interactive voice recognition create improved brand awareness, better customer relationship marketing, and personalized product modification. Explainable AI provides the subsequent arena of human–machine collaboration, which will complement and support marketers and people so that they can make better, faster, and more accurate decisions. According to PwC’s report on Explainable AI(XAI), AI will have $15.7 trillion of opportunity by 2030. However, as AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. But the rise of AI in business for actionable insights also poses the following questions: How can marketers know and trust the reasoning behind why an AI system is making recommendations for action? What are the root causes and steering factors? Thus, transparency, trust, and a good understanding of expected business outcomes are increasingly demanded.
650		0	_aBusiness information services
650		0	_aArtificial intelligence
650		0	_aEngineering _xData processing
650		0	_aComputational intelligence
650	1	4	_aIT in Business
700	1		_aGaur, Loveleen _eeditor
700	1		_aAbraham, Ajith _eeditor
830			_aStudies in Computational Intelligence, _v1094 _x1860-9503 ;
856	4	2	_3Table of Contents only _uhttps://link.springer.com/book/10.1007/978-3-031-55615-9#toc
942			_2ddc _cBK
999			_c6786 _d6786