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001484142 001__ 1484142
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001484142 019__ $$a1410104748
001484142 020__ $$a9783031290534$$qelectronic book
001484142 020__ $$a3031290534$$qelectronic book
001484142 020__ $$z9783031290527
001484142 020__ $$z3031290526
001484142 0247_ $$a10.1007/978-3-031-29053-4$$2doi
001484142 035__ $$aSP(OCoLC)1409677939
001484142 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dYDX
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001484142 050_4 $$aHD45$$b.K85 2023
001484142 08204 $$a658.5/14$$223/eng/20231122
001484142 1001_ $$aKulkarni, Vinay,$$d1966-
001484142 24514 $$aThe AI-enabled enterprise /$$cVinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper.
001484142 264_1 $$aCham :$$bSpringer,$$c2023.
001484142 300__ $$a1 online resource (xii, 135 pages) :$$billustrations (chiefly color).
001484142 336__ $$atext$$btxt$$2rdacontent
001484142 337__ $$acomputer$$bc$$2rdamedia
001484142 338__ $$aonline resource$$bcr$$2rdacarrier
001484142 4901_ $$aEnterprise Engineering Series
001484142 5058_ $$aIntro -- Preface -- Contents -- About the Authors -- 1: The AI-Enabled Enterprise -- Motivation -- Current State -- Decision-Making in the Face of Uncertainty -- Software Architecture for Continuous Adaptation -- Automated Compliance with Minimal Exposure to Risk -- Democratized Knowledge-Guided Software Development -- Continuously Adapting Software -- Coordinated Continuous Digital Transformation -- The AI-Enabled Enterprise -- Illustrative Example -- References -- 2: Decision-Making in the Face of Uncertainty -- Introduction -- Current Practice -- Decision-Making as an Optimization Problem
001484142 5058_ $$aModel-Based Decision-Making -- Human-Centric Decision-Making -- Solution -- Decision-Making Meta-Model -- Digital Twin -- ``In Silico ́́Experimentation Aid for Decision-Making -- Technology Infrastructure -- Specification Language -- DT Construction -- DT Validation -- Illustrative Real-World Applications -- Case Study from Telecom -- Maximizing Throughput of Sorting Terminals -- Optimizing Shop Stock Replenishment for a Retail Chain -- Prediction and Control of Covid-19 Pandemic in a City -- Helping Organizations Transition from Work from Home to Work from Office Mode -- Summary and Future Work
001484142 5058_ $$aReferences -- 3: Regulatory Compliance at Optimal Cost with Minimum Exposure to Risk -- Introduction -- Regulatory Compliance -- Current Practice -- Tenets of a Desirable Line of Attack -- AI-Aided Model-Based Automated Regulatory Compliance -- Technology Infrastructure to Support the Line of Attack -- AI-Based Model Authoring -- Validating the Authored Model -- Automating Compliance Checking -- Benefits of the Proposed Approach -- Illustrative Use Cases of Automated Regulatory Compliance -- Assurance of Hygiene -- Business Problem -- Scope -- Approach -- Benefits
001484142 5058_ $$aCompliance Hygiene and Change Impact Management -- Business Problem -- Objectives -- Scope -- Approach -- Benefits -- Compliance Checking -- Business Problem -- Current Practice -- Objectives -- Scope -- Approach -- Benefits -- Change Management -- Business Problem -- Scope -- Approach -- Results -- Benefits -- Summary and Future Work -- References -- 4: Continuously Adapting Software -- Introduction -- Digital Twin(s) -- State of the Art -- Modelling Twin Systems -- Case Study -- Twin System Execution -- Twin Policies -- Implementation: TwinSim -- Training for Multiple Eventualities
001484142 5058_ $$aPrototyping as Part of the Development Process -- Research Roadmap -- References -- 5: Democratized Hyper-automated Software Development -- Introduction -- Current Practice -- Typical SDLC Today -- Model-Driven Development -- Low-Code/No-Code Platforms -- AI-Powered SDLC -- AI-Powered Requirements -- AI-Powered Testing -- AI-Powered Coding -- Proposed Line of Attack -- Knowledge-Guided, AI-Aided Refinement of Business Requirements into Software Requirements -- Domain Ontology -- Systems Knowledge -- AI and NLP -- Digital Twin(s) -- Knowledge-Guided, AI-Aided Refinement of Software Requirements into Software Specifications
001484142 506__ $$aAccess limited to authorized users.
001484142 520__ $$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.
001484142 650_6 $$aEntreprises$$xInnovations.
001484142 650_6 $$aIntelligence artificielle$$xApplications industrielles.
001484142 650_0 $$aBusiness enterprises$$xTechnological innovations.$$0(DLC)sh 85000411
001484142 650_0 $$aArtificial intelligence$$xIndustrial applications.$$xMedical applications$$0(DLC)sh 88003000
001484142 655_0 $$aElectronic books.
001484142 7001_ $$aReddy, Sreedhar,$$d1963-
001484142 7001_ $$aClark, Tony.
001484142 7001_ $$aProper, Erik.
001484142 77608 $$iPrint version:$$aKulkarni, Vinay$$tThe AI-Enabled Enterprise$$dCham : Springer International Publishing AG,c2023$$z9783031290527
001484142 830_0 $$aEnterprise engineering series.
001484142 852__ $$bebk
001484142 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29053-4$$zOnline Access$$91397441.1
001484142 909CO $$ooai:library.usi.edu:1484142$$pGLOBAL_SET
001484142 980__ $$aBIB
001484142 980__ $$aEBOOK
001484142 982__ $$aEbook
001484142 983__ $$aOnline
001484142 994__ $$a92$$bISE