000 | 03234nam a22006135i 4500 | ||
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001 | 978-3-031-29053-4 | ||
003 | DE-He213 | ||
005 | 20240423130206.0 | ||
007 | cr nn 008mamaa | ||
008 | 231115s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031290534 _9978-3-031-29053-4 |
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024 | 7 |
_a10.1007/978-3-031-29053-4 _2doi |
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050 | 4 | _aHF5548.125-.6 | |
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_a650.0285 _223 |
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_a658.05 _223 |
100 | 1 |
_aKulkarni, Vinay. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 4 |
_aThe AI-Enabled Enterprise _h[electronic resource] / _cby Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
300 |
_aXII, 135 p. 65 illus., 58 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aThe Enterprise Engineering Series, _x1867-8939 |
|
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 | 0 |
_aBusiness _xData processing. |
|
650 | 0 | _aBusiness information services. | |
650 | 0 | _aMachine learning. | |
650 | 0 |
_aInformation technology _xManagement. |
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650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aBusiness Informatics. |
650 | 2 | 4 | _aEnterprise Architecture. |
650 | 2 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aComputer Application in Administrative Data Processing. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aReddy, Sreedhar. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aClark, Tony. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aProper, Henderik A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031290527 |
776 | 0 | 8 |
_iPrinted edition: _z9783031290541 |
830 | 0 |
_aThe Enterprise Engineering Series, _x1867-8939 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-29053-4 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c186037 _d186037 |