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The AI-enabled enterprise

Record Type:	Electronic resources : Monograph/item
Title/Author:	The AI-enabled enterpriseby Vinay Kulkarni ... [et al.].
other author:	Kulkarni, Vinay.
Published:	Cham :Springer International Publishing :2023.
Description:	xii, 135 p. :illustrations (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Business enterprisesTechnological innovations.
Online resource:	https://doi.org/10.1007/978-3-031-29053-4
ISBN:	9783031290534$q(electronic bk.)

The AI-enabled enterprise
The AI-enabled enterprise[electronic resource] /by Vinay Kulkarni ... [et al.]. - Cham :Springer International Publishing :2023. - xii, 135 p. :illustrations (chiefly color), digital ;24 cm. - Enterprise engineering series,1867-8939. - Enterprise engineering series..

The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.

ISBN: 9783031290534$q(electronic bk.)

Standard No.: 10.1007/978-3-031-29053-4doiSubjects--Topical Terms:

203334
Business enterprises
--Technological innovations.

LC Class. No.: HD45

Dewey Class. No.: 658.514

The AI-enabled enterprise
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520 $a The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.
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