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1. |
Record Nr. |
UNINA9910571721703321 |
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Autore |
Smith Paul Julian |
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Titolo |
Television Drama in Spain and Latin America : Genre and Format Translation |
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ISBN |
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1-915249-81-3 |
0-85457-277-5 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 electronic resource (300 p.) |
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Collana |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Television Drama in Spain and Latin America addresses two major topics within current cultural, media, and television studies: the question of fictional genres and that of transnational circulation. While much research has been carried out on both TV formats and remakes in the English-speaking world, almost nothing has been published on the huge and dynamic Spanish-speaking sector. This book discusses and analyses series since 2000 from Spain (in both Spanish and Catalan), Mexico, Venezuela, and (to a lesser extent) the US, employing both empirical research on production and distribution and textual analysis of content. The three genres examined are horror, biographical series, and sports-themed dramas; the three examples of format remakes are of a period mystery (Spain, Mexico), a romantic comedy (Venezuela, US), and a historical epic (Catalonia, Spain). Paul Julian Smith is Distinguished Professor at the Graduate Center, City University of New York. He was previously Professor of Spanish at the University of Cambridge. He is the author of twenty books and one hundred academic articles. |
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2. |
Record Nr. |
UNINA9910765487103321 |
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Autore |
Kulkarni Vinay |
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Titolo |
The AI-Enabled Enterprise / / by Vinay Kulkarni, Sreedhar Reddy, Tony Clark, Henderik A. Proper |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (144 pages) |
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Collana |
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The Enterprise Engineering Series, , 1867-8939 |
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Altri autori (Persone) |
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ReddySreedhar |
ClarkTony |
ProperErik |
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Disciplina |
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Soggetti |
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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 |
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Nota di contenuto |
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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 -- |
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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. |
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Sommario/riassunto |
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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: |
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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. |
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