10 Rules for Impossible Projects : Surprising – But True – Advice on How to Successfully Deliver Difficult and Complex Projects / / by Marcin Dąbrowski |
Autore | Dąbrowski Marcin |
Edizione | [1st ed. 2025.] |
Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 |
Descrizione fisica | 1 online resource (172 pages) |
Disciplina | 658.4/04 |
Soggetto topico |
Business - Data processing
Information technology - Management Business information services Project management Management Business Management science Business Informatics Business Process Management IT in Business Project Management Business and Management |
ISBN | 979-88-6881-463-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I. Impossible projects -- Chapter 1. Introduction – how and why this book was written -- Chapter 2. What are impossible projects -- Chapter 3. How and why impossible projects are created -- Chapter 4. Can an impossible project be delivered? -- Part II. Methodologies and Certifications - BS -- Chapter 5. Certificate Factory -- Chapter 6. Helplessness of methodologies and certificates when faced with key problems of impossible projects -- Chapter 7. Practical knowledge - the missing link -- Part III. 10 Rules for delivering impossible projects -- Chapter 8. Rule 1 – Engage in contract negotiations -- Chapter 9. Rule 2 - Define what it means to "deliver" the project -- Chapter 10. Rule 3 – Be useful and show commitment -- Chapter 11. Rule 4 - Build relationships and the power of influence -- Chapter 12. Rule 5 – Focus on progress, be pragmatic -- Chapter 13. Rule 6 - Apply pressure and take advantage of your position -- Chapter 14. Rule 7 – Consciously manage the flow of information -- Chapter 15. Rule 8 – Take care of the financial health of the project -- Chapter 16. Rule 9 – Create and document your own history of the project -- Chapter 17. Rule 10 – Focus on the long-term customer relationship -- Chapter 18. Summary. |
Record Nr. | UNINA-9911009343003321 |
Dąbrowski Marcin
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
ChaudhuriBidyut 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 |
Kulkarni Parag
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
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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 |
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 |
Kulkarni Vinay
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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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 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 |
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 | ||
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Lo trovi qui: Univ. Federico II | ||
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Anticipating Future Business Trends: Navigating Artificial Intelligence Innovations : Volume 2 / / edited by Rim El Khoury |
Autore | El Khoury Rim |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (581 pages) |
Disciplina | 006.3 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico |
Computational intelligence
Artificial intelligence Business - Data processing Computational Intelligence Artificial Intelligence Business Informatics |
ISBN | 3-031-63402-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Digital Transformation -- Exploring the evolution of AI and its transformative potential across industries -- E-Commerce and Retail Tech -- Blockchain and Finance -- Automation and the Future of Work -- Sustainable Business Practices. |
Record Nr. | UNINA-9910887873903321 |
El Khoury Rim
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Anticipating Future Business Trends: Navigating Artificial Intelligence Innovations : Volume 1 / / edited by Rim El Khoury |
Autore | El Khoury Rim |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (580 pages) |
Disciplina | 006.3 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico |
Computational intelligence
Artificial intelligence Business - Data processing Computational Intelligence Artificial Intelligence Business Informatics |
ISBN | 3-031-63569-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Digital Transformation -- Exploring the evolution of AI and its transformative potential across industries -- E-Commerce and Retail Tech -- Blockchain and Finance -- Automation and the Future of Work -- Sustainable Business Practices. |
Record Nr. | UNINA-9910886068703321 |
El Khoury Rim
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Apply Data Science [[electronic resource] ] : Introduction, Applications and Projects / / edited by Thomas Barton, Christian Müller |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2023 |
Descrizione fisica | 1 online resource (233 pages) |
Disciplina | 005.7 |
Soggetto topico |
Artificial intelligence—Data processing
Information storage and retrieval systems Data mining Business information services Business—Data processing Big data Data Science Information Storage and Retrieval Data Mining and Knowledge Discovery IT in Business Business Informatics Big Data |
ISBN | 3-658-38798-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications. |
Record Nr. | UNISA-996547963203316 |
Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Apply Data Science : Introduction, Applications and Projects / / edited by Thomas Barton, Christian Müller |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2023 |
Descrizione fisica | 1 online resource (233 pages) |
Disciplina | 005.7 |
Soggetto topico |
Artificial intelligence—Data processing
Information storage and retrieval systems Data mining Business information services Business—Data processing Big data Data Science Information Storage and Retrieval Data Mining and Knowledge Discovery IT in Business Business Informatics Big Data Dades massives Processament de dades Aprenentatge automàtic Mineria de dades |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-658-38798-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Introduction to Data Science -- Systems, Tools and Methods -- Applications. |
Record Nr. | UNINA-9910637710203321 |
Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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