000 02260nam a2200385Ia 4500
000 02876nam a22004095i 4500
001 978-3-031-29053-4
003 DE-He213
005 20240319121148.0
007 cr nn 008mamaa
008 231115s2023 sz | s |||| 0|eng d
020 _a9783031290534
_9978-3-031-29053-4
082 _a650.0285;658.05
100 _aKulkarni, Vinay.
_939919
245 _aThe AI-Enabled Enterprise
_cby Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper.
_h[electronic resource] /
250 _a1st ed. 2023.
260 _aCham
_bSpringer International Publishing
_c2023
300 _aXII, 135 p. 65 illus., 58 illus. in color.
_bonline resource.
520 _aThe 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.
650 _aArtificial intelligence.
_939920
650 _aArtificial Intelligence.
_939921
650 _aBusiness
_939922
650 _aBusiness Informatics.
_939923
650 _aBusiness information services.
_939924
650 _aComputer Application in Administrative Data Processing.
_939925
650 _aEnterprise Architecture.
_939926
650 _aInformation technology
_939927
650 _aMachine learning.
_939928
650 _aMachine Learning.
_939929
700 _aClark, Tony.
_939930
700 _aProper, Henderik A.
_939931
700 _aReddy, Sreedhar.
_939932
856 _uhttps://doi.org/10.1007/978-3-031-29053-4
942 _cEBK
_2ddc
999 _c15906
_d15906