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ABCD Tech : Revolutionizing Business with Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics / / by Riktesh Srivastava
| ABCD Tech : Revolutionizing Business with Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics / / by Riktesh Srivastava |
| Autore | Srivastava Riktesh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina |
650.0285
658.05 |
| Soggetto topico |
Business - Data processing
Business information services Economic development Business Informatics IT in Business Economic Development, Innovation and Growth Business Analytics |
| ISBN |
9789819643097
9819643090 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to ABCD Technologies -- Understanding Artificial Intelligence -- Exploring Blockchain Technology -- Leveraging Cloud Computing -- Data Analytics for Business. |
| Record Nr. | UNINA-9910991176303321 |
Srivastava Riktesh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2 / / edited by KC Santosh, Poonam Nandal, Sandeep Kumar Sood, Hari Mohan Pandey
| Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2 / / edited by KC Santosh, Poonam Nandal, Sandeep Kumar Sood, Hari Mohan Pandey |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XVI, 330 p. 115 illus., 74 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Artificial intelligence
Business - Data processing Data protection Artificial Intelligence Business Informatics Data and Information Security |
| ISBN |
9789819748600
9819748607 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910897988103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI Empowered Digital Business Innovation / / by Parag Kulkarni, Jay Rajasekera, Bidyut Baran Chaudhuri
| AI Empowered Digital Business Innovation / / by Parag Kulkarni, Jay Rajasekera, Bidyut Baran Chaudhuri |
| Autore | Kulkarni Parag |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RajasekeraJay
ChaudhuriB. B (Bidyut Baran) |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Artificial intelligence
Business - Data processing Computational intelligence Artificial Intelligence Business Informatics Computational Intelligence |
| ISBN | 981-9655-93-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- AI empowered Digital transformation and Digital maturity -- AI and Digital Innovation Strategy -- Technology Landscapes (Drivers of Digital business) -- AI – building learning blocks. |
| Record Nr. | UNINA-9911011349403321 |
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Kulkarni Parag
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part III / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh
| AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part III / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh |
| Autore | Arabnia Hamid R |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (762 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | Arabnia |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Data protection Software engineering Application software Image processing - Digital techniques Computer vision Business - Data processing Artificial Intelligence Data and Information Security Software Engineering Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Business Informatics |
| ISBN | 3-032-13056-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- ARTIFICIAL INTELLIGENCE: EDUCATION AND CURRICULUM DEVELOPMENT. -- Using ChatGPT to Reduce Academic Misconduct in a Systems Analysis Course: A Case Study. -- AI and Education. -- Teaching and Using AI in the Classroom: Integrating AI Modules in Undergraduate Computer Science Education. -- Digital Teaching Assistant: Medipol University Case Study. -- Curriculum for a New Five-Year Academic Program with a Bachelor's Degree and Master's Degree in Intelligent Systems Engineering. -- Developing a CSViewer for Education Application with Natural Language Interactions. -- A Custom Web Service for Analyzing Athletic Performance Data in Collegiate Sports. -- ARTIFICIAL INTELLIGENCE: IMAGING SCIENCE, CNN, AND APPLICATIONS. -- Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration. -- Carbon Emissions of a CNN Model: A Comparative Study of Colab and Jupyter Notebook with an Example. -- Robust Road Surface Anomaly Detection Using Three-Dimensional Geometric Analysis and Adaptive Machine Learning Strategy. -- Application of Medical Images for Detecting Anemia in Children: A Comparative Study of Convolutional Neural Network, k-Nearest Neighbor, Random Forest and Support Vector Machine. -- A Hybrid Three-Layer Convolutional Neural Network Architecture for Detecting Anemia using Clinical Images. -- Advancements in AI for Breast Cancer Diagnosis: A 2024-2025 Systematic Review Update. -- Enhanced Ensemble Model-Based Approach from Deep Learning for MonkeyPox Detection Using Medical Images. -- Study on Arabic Food Calorie Estimation App using Image Processing. -- Compressively Sensed Super-Resolution Magnetic Resonance Image Reconstruction Algorithm Using Convolutional Neural Networks. -- ARTIFICIAL INTELLIGENCE: NOVEL METHODOLOGIES AND APPLICATIONS. -- Comparative Recognition Technology for Artificial Intelligence. -- Evolutionary Computing Applications and Trends from 2010 to 2025: A Brief Review. -- How Embodiment Shapes Trust and Engagement: A Comparative Analysis of Alexa and Pepper in Competitive Gameplay. -- A Cost-Effective Tool for Senior Activity Classification and Visualization. -- Study of Conversational Agents in VR Guiding Experience. -- Warped-Frequency Cepstral Coefficients for Improving COVID-19 Detection. -- Improved Partial Dependence Plotting for Interpretable Machine Learning. -- Integrating Python and Generative AI for Graph Theory Visualization and Problem-Solving. -- The Role of Dynamic Trust and Resource Management in Improving IoT-Based Edge Computing: A Review. -- The Black Box Dilemma: A Framework for Mitigating Rogue AI Through Standardized Models and Anomaly Detection. -- Responsible AI in Demand Forecast of Supply Chain Management. -- AI-empowered Creative Problem Solving. -- Enhancing Diabetes Hospital Stay Predictions through Interpretability. -- Optimizing Smoking Cessation Alternatives Using Multi-Moora and AI-Based Methods. -- Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network. -- ARTIFICIAL INTELLIGENCE: SOFTWARE TOOLS AND POTENTIAL APPLICATIONS. -- Digital Platform for Livestock Sector: An Opportunity in Artificial Intelligence Era. -- Transdisciplinary Visual Communication: An Insight into its Techniques and Models. -- Investigating the Impact of Age and Gender on Sentiment Analysis in Movie Reviews. -- Applying Automatic Inference in Constraint Satisfaction Planning. -- Energy Consumption and Performance of AI Accelerators for Edge Devices. -- Hybrid Convolutional Neural Networks and Modified GARCH Model Based the European Union's Emissions Trading Scheme Prices Forecasting. -- Photogrammetry Software. -- Understanding Unity's ECS Architecture. -- Benchmarking Performance of Unity's Data Oriented Technology Stack. -- INTELLIGENT LINGUISTIC TECHNOLOGIES. -- Regional Safe Havens for Advanced AI: A Strategy for a Safer and More Ethical Path to Super Intelligence. -- Codification, Annotation and Rule-based Inferencing for CharActER: A Proposed Application for Teaching Chinese the WRITE Way. -- How Higher Education Students Should Use AI to Enhance Their Learning. -- The Dysfunctions of Artificial Intelligence Itself that Threaten Future Cybersecurity. -- Unconventional Active Learning for IoT Class: Sensors and IoT Course Utilizing-Brainstorming, Collaboration, and Creative Problem-Solving Through Hands-On Activities. -- An Efficient YOLO-based Approach for Goldfish Disease Diagnosis. -- Examining Racial Bias in Generative AI: Undergraduate Student Perspectives on Bias in AI. |
| Record Nr. | UNINA-9911054595403321 |
|
Arabnia Hamid R
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part I / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh
| AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part I / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh |
| Autore | Arabnia Hamid R |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (701 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
DeligiannidisLeonidas
AmirianSoheyla Ghareh MohammadiFarid ShenavarmasoulehFarzan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Data protection Software engineering Application software Image processing - Digital techniques Computer vision Business - Data processing Artificial Intelligence Data and Information Security Software Engineering Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Business Informatics |
| ISBN | 3-032-12313-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- ARTIFICIAL INTELLIGENCE: EXISTENTIAL RISKS + AI BIAS. -- Addressing Perceived Existential Risks of Agentic AI through Agile Trustworthiness Engineering. -- A Systematic Analysis of AGI and ASI Existential Risk Scenarios. -- The New Regulatory Paradigm: IEEE Std 7003 and Its Impact on Bias Management in Autonomous Intelligent Systems. -- Echo Chamber Dynamics in LLMs: Mitigating Bias and Model Drift. -- Mitigating Gender Bias in English-Dravidian Machine Translation Using Chain of Thought Reasoning. -- Unveiling Biases in Multimodal Generative AI. -- New York, New York - Unraveling Bias in Large Language Models: Investigating Differences Between Standard and Reasoning-Based Language Models. -- Existential Risks of Superintelligence: The Critical Role of Leadership in Sustainable Supply Chain Management. -- Prevalences of AI Bias in Adolescent Hospitalization Risk Prediction. -- ARTIFICIAL INTELLIGENCE: NLP, LARGE Language MODELS, AND APPLICATIONS. -- Sequential Text Compression Strategy: A Study of NLP and Data Cleaning Preprocessing Tasks for Optimizing. -- Performance Evaluation of LLM Hallucination Reduction Strategies for Reliable Qualitative Analysis. -- LLM-Augmented Approach for Learning of Human-Centric Cybersecurity. -- Cybersecurity Policy Clustering with LLM-Based Embeddings and Dimensionality Reduction. -- Toxicity Detection Using Large Language Models. -- Utilizing Large Language Model for Programming Course Exercise Generation. -- Leveraging Large Language Models for Detecting and Managing Software Antipatterns Throughout the Software Lifecycle. -- Comparing LLM and Human Expert Responses to Problem Gambling Questions. -- Agentic AI & LLM Incorporation with Personas. -- AI-Driven LLM Agent for Data WorkFlow. -- Leveraging Prompt Engineering and Retrieval-Augmented Generation with Large Language Models for AI-Driven Music Source Separation. -- Reformation and Practical Implementation of the Advanced Programming Language Design Course Tailored for the Artificial Intelligence and Cyber Security. -- Building the Low-Resource Nigerian Igbo Language Corpora. -- The Use of ChatGPT for Coding Comparison of Two Variables. -- Teaching Research Design with ChatGPT: Supporting M.A. Students in their Group Capstone/Thesis Completion. -- ARTIFICIAL INTELLIGENCE: ALGORITHMS, APPLICATIONS, AND FRAMEWORKS. -- Weak and Strong Potentiality Control for Interpreting Multi-Layered Neural Networks. -- Decentralized Consensus by Proof-of-Randomness among IoT Devices. -- Robust Evolutionary Clustering in Temporal Graphs via Nonnegative Matrix Factorization. -- Capacitance-Based Bedwetting Alarm System for Differentiating Urination from Sweat Using Machine Learning. -- A Hybrid Sentiment Analysis Model to Detect Racism Tweets using Lexicon-Based Sentiment Analysis and a Support Vector Machine Algorithm. -- EEFactUPP: Evidence Evaluation and Fact Verification using User Perspective Prompting. -- A Framework for Emotional Transition Detection. -- Advancing Computational Problem-Solving with Python, Generative AI, and Google Colab. -- The Agentic AI Mindset - A Practitioner's Guide to Architectures, Patterns, and Future Directions for Autonomy and Automation. -- ARTIFICIAL INTELLIGENCE: ETHICS, SOCIETAL AND PHILOSOPHICAL IMPACTS. -- Machine Intelligence, Socio-economic Impacts of AI and Potential Scenarios for AI Coexistence with Human Society. -- EBA-AI: Ethics-Guided Bias-Aware AI for Efficient Underwater Image Enhancement and Coral Reef Monitoring. -- Advancing Cognitive Developmental Robotics: Robot Pain as a Bridge from Embodiment to Societal Interaction - A Framework for Ethical and Societal Integration. -- Ethical Assessment of a Case Involving the Use of "Conversational Agents" in Education According to EU Principles. |
| Record Nr. | UNINA-9911049156803321 |
|
Arabnia Hamid R
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part II / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh
| AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part II / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh |
| Autore | Arabnia Hamid R |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (727 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Data protection Software engineering Application software Image processing - Digital techniques Computer vision Business - Data processing Artificial Intelligence Data and Information Security Software Engineering Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Business Informatics |
| ISBN | 3-032-12930-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- ARTIFICIAL INTELLIGENCE & DATA SCIENCE. -- Data Cube for Exploring Anomalies in Justice Delivery: An Experiment on Indian Judgements. -- Intelligent Data Approximation for Reducing Write Energy in Multi-Level Cell PCM. -- Maximizing ROI in Supply Chain Forecasting: A Data-Driven Deep Learning Approach for Enhanced Accuracy and Efficiency. -- Assessing the Efficacy of DinoV2-Based Embeddings in Clustering Visual Data from C2C Marketplaces. -- Industrial Safety Compliance using Custom Open-Source Dataset and YOLOv11. -- Traceable and Revokable Attributes-Based Verifiable Searchable Authentication Scheme for Blockchain Data Sharing. -- Application of Deep Learning Model for Enhancing Medical Image Classification using Non-local Means Filtering, Contrast-limited Adaptive Histogram Equalization and Data Augmentation. -- Development of Learning Data Dictionary for Artificial Intelligence Digital Textbooks. -- A Family-based Online Database System. -- AI Leveraging Data Modeling for Efficient Travel Management. -- ARTIFICIAL INTELLIGENCE: SECURITY METHODOLOGIES AND RELATED ISSUES. -- New Proposal for Homomorphic AI. -- Maha: Security Protocols on Fog Network. -- A Dynamic Hybrid IDS for APT Detection in SCADA using Deep Neural Networks. -- Comparative Performance Analysis of Machine Learning Algorithms for Fraudulent Credit Card Transaction Detection. -- A Multi-Layer Perceptron Approach for Detecting Network-Layer Attacks in IoT Networks. -- Mitigating Rapid Reset DDoS Attacks in the Financial Sector: A Cybersecurity Framework. -- Intelligent Intrusion Detection in Industrial Control Systems: A Comprehensive Evaluation of Machine Learning and Deep Learning Approaches. -- Ransomware and AI Defense Mechanisms. -- AI-Driven Analysis of Cybersecurity Threats and Defense Mechanisms in 5G Networks. -- MShield LSTM Model for Detecting Insider Threat Attacks in Critical Infrastructure Using Machine Learning. -- Defense Against Adversarial Attack on Medical Imaging. -- Analytical Study for DDoS Detection Algorithms in Cloud Computing. -- ARTIFICIAL INTELLIGENCE: COMPUTER VISION AND APPLICATIONS. -- A Semi-Automatic Approach for Minimizing Expert Annotations in Medical Image Segmentation. -- Semantic Representation of Musical Identity: AI-Driven Cover Image Generation from Lyrics. -- Modular Framework for Cluster Analysis in Surveillance Cameras. -- BFS-Based Weighted Late Fusion for 3D Object Detection in V2X Systems. -- Comparative Study of Single-Stage vs. Two-Stage Detectors for ASL Gesture Recognition. -- Virtual Crop Development and Automated Weed Detection for Precision Agriculture. -- Video Compression Artifacts Reduction with Recurrent Video Restoration Transformer. -- Preferential Ensemble Method with Exponentially Tunable Hyperparameter for Skin Cancer Diagnosis. -- ARTIFICIAL INTELLIGENCE: THEORIES, METHODOLOGIES, AND APPLICATIONS. -- Evaluating Automatic Speech Recognition Models: How Well Do They Handle Accents?. -- On Specification for an Academic Ontology. -- Uncovering Mental Health Disparities through Social Determinants. -- Comparing Impacts of Artificial Intelligence on Employment in Financial Industry and Manufacturing Industry. -- Investment Decision-Making in the AI Era. -- Parameter Estimation for Complex Systems Using Systems Dynamics Aware Neural Networks. -- 2AIO: The Application of Artificial Intelligence in Osteoporosis. |
| Record Nr. | UNINA-9911049094403321 |
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Arabnia Hamid R
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI-Empowered Industrial Relations / / by Soumi Majumder, Bitan Misra
| AI-Empowered Industrial Relations / / by Soumi Majumder, Bitan Misra |
| Autore | Majumder Soumi |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (234 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Artificial intelligence
Business - Data processing Industrial management Social legislation Artificial Intelligence Business Informatics Industrial Management Labour Law/Social Law |
| ISBN | 3-032-14557-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to AI-driven Industrial Relations -- Chapter 2. The merging of Fourth Industrial Revolution and Fifth Industrial Revolution -- Chapter 3. The Impact of AI on Work and Workers -- Chapter 4. AI in collective bargaining and dispute resolution -- Chapter 5. Legal and Ethical Considerations in AI-driven IR -- Chapter 6. Future Trends and Opportunities in AI driven Industrial Relations -- Chapter 7. Case Studies and Success Stories -- Chapter 8. Conclusions. |
| Record Nr. | UNINA-9911054601903321 |
|
Majumder Soumi
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The AI-Enabled Enterprise [[electronic resource] /] / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper
| The AI-Enabled Enterprise [[electronic resource] /] / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper |
| Autore | Kulkarni Vinay |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (144 pages) |
| Disciplina |
650.0285
658.05 |
| Altri autori (Persone) |
ReddySreedhar
ClarkTony ProperHenderik A |
| Collana | The Enterprise Engineering Series |
| Soggetto topico |
Business - Data processing
Business information services Machine learning Information technology - Management Artificial intelligence Business Informatics Enterprise Architecture Machine Learning Computer Application in Administrative Data Processing Artificial Intelligence |
| ISBN | 3-031-29053-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 -- 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 -- 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 -- 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 -- 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 -- Architecture for Software Adaptation -- Technology Infrastructure to Support the Line of Attack -- References -- 6: Coordinated Continuous Digital Transformation -- Introduction -- Digital Transformation -- Continuous Digital Transformation -- Coordinated Continuous Digital Transformation -- Enterprise Design Dialogues -- The Role of Models -- Challenges and Opportunities -- Conclusion -- References -- 7: A Case Study: Wellness Ecosystem -- Introduction -- Wellness Ecosystem -- Wellness Stakeholders -- Individual -- Gym -- Food Store -- Hospital -- Insurance Company -- Leisure Provider -- Wellness Provider -- Decision-Making in Dynamic and Uncertain Environment -- Effecting the Decisions in Software. Effecting the Decisions in Business Processes -- Bringing It All Together -- Illustrative Example -- References. |
| Record Nr. | UNISA-996565863303316 |
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Kulkarni Vinay
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
The AI-Enabled Enterprise / / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper
| The AI-Enabled Enterprise / / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper |
| Autore | Kulkarni Vinay |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (144 pages) |
| Disciplina |
650.0285
658.05 |
| Altri autori (Persone) |
ReddySreedhar
ClarkTony ProperErik |
| Collana | The Enterprise Engineering Series |
| Soggetto topico |
Business - Data processing
Business information services Machine learning Information technology - Management Artificial intelligence Business Informatics Enterprise Architecture Machine Learning Computer Application in Administrative Data Processing Artificial Intelligence |
| ISBN |
9783031290534
3031290534 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 -- 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 -- 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 -- 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 -- 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 -- Architecture for Software Adaptation -- Technology Infrastructure to Support the Line of Attack -- References -- 6: Coordinated Continuous Digital Transformation -- Introduction -- Digital Transformation -- Continuous Digital Transformation -- Coordinated Continuous Digital Transformation -- Enterprise Design Dialogues -- The Role of Models -- Challenges and Opportunities -- Conclusion -- References -- 7: A Case Study: Wellness Ecosystem -- Introduction -- Wellness Ecosystem -- Wellness Stakeholders -- Individual -- Gym -- Food Store -- Hospital -- Insurance Company -- Leisure Provider -- Wellness Provider -- Decision-Making in Dynamic and Uncertain Environment -- Effecting the Decisions in Software. Effecting the Decisions in Business Processes -- Bringing It All Together -- Illustrative Example -- References. |
| Record Nr. | UNINA-9910765487103321 |
|
Kulkarni Vinay
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||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AIoT Deployment in Business Evolution : Sociotechnical Readiness and Human-Centric Strategies / / by Surekha Borra, Nilanjan Dey, Sheng-Lung Peng
| AIoT Deployment in Business Evolution : Sociotechnical Readiness and Human-Centric Strategies / / by Surekha Borra, Nilanjan Dey, Sheng-Lung Peng |
| Autore | Borra Surekha |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (108 pages) |
| Disciplina | 004.678 |
| Altri autori (Persone) |
DeyNilanjan
PengSheng-Lung |
| Collana | SpringerBriefs in Computational Intelligence |
| Soggetto topico |
Internet of things
Artificial intelligence Business - Data processing Internet of Things Artificial Intelligence Business Informatics |
| ISBN | 3-032-09472-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | INTRODUCTION -- AIOT LANDSCAPE -- AIOT ADOPTION AND CHALLENGES -- SOCIOTECHNICAL AIOT DEPLOYMENT FRAMEWORK. |
| Record Nr. | UNINA-9911049149203321 |
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Borra Surekha
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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