The AI-enabled enterprise / Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper.
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...
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| Format: | eBook |
| Language: | English |
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2023.
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| Series: | Enterprise engineering series.
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MARC
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| 100 | 1 | |a Kulkarni, Vinay, |d 1966- | |
| 245 | 1 | 4 | |a The AI-enabled enterprise / |c Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper. |
| 264 | 1 | |a Cham : |b Springer, |c 2023. | |
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| 490 | 1 | |a Enterprise Engineering Series | |
| 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. | ||
| 505 | 8 | |a Intro -- 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 | |
| 505 | 8 | |a Model-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 | |
| 505 | 8 | |a References -- 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 | |
| 505 | 8 | |a Compliance 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 | |
| 505 | 8 | |a Prototyping 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 | |
| 650 | 0 | |a Business enterprises |x Technological innovations. | |
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 7 | |a Artificial intelligence |x Industrial applications |2 fast | |
| 650 | 7 | |a Business enterprises |x Technological innovations |2 fast | |
| 700 | 1 | |a Reddy, Sreedhar, |d 1963- | |
| 700 | 1 | |a Clark, Tony. | |
| 700 | 1 | |a Proper, Erik. | |
| 776 | 0 | 8 | |i Print version: |a Kulkarni, Vinay |t The AI-Enabled Enterprise |d Cham : Springer International Publishing AG,c2023 |z 9783031290527 |
| 830 | 0 | |a Enterprise engineering series. | |
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