Impact of Artificial Intelligence in Business and Society
portes grátis
Impact of Artificial Intelligence in Business and Society
Opportunities and Challenges
Masri, Hatem; Lazzeri, Francesca; Appio, Francesco Paolo; La Torre, Davide; Schiavone, Francesco
Taylor & Francis Ltd
12/2024
280
Mole
9781032303420
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Introduction
Davide La Torre, Francesco Paolo Appio, Hatem Masri, Francesca Lazzeri, and Francesco Schiavone
PART 1: Artificial intelligence: technological advancements and methodologies
1. Artificial and machine learning: Definitions and applications
Cinzia Colapinto, Riadh Ksantini, Davide La Torre, Hatem Masri, and Marco Repetto
2. Adopting machine learning and AI for data-drive decisions
Francesca Lazzeri
3. Neural networks and deep learning
Chiara Galimberti and Marco Repetto
PART 2: Artificial intelligence in business: opportunities and challenges
4. Artificial Intelligence in Human Resource Management: Objectives and Implications
Aizhan Tursunbayeva, Alessia Berni, and Luigi Moschera
5. Methodology for evaluating the appropriateness of a business process for robotic process automation
Lars Berghuis, Abhishta Abhishta, Wouter van Heeswijk, and Aizhan Tursunbayeva
6. Startups and Artificial Intelligence: Insights from Italy
Fabio Greco and Irene Di Bernardo
7. Integrating AI to blockchain and cryptocurrency: A case study
Mohamed Bechir Chenguel
PART 3: The societal impact of artificial intelligence
8. AI human capital, jobs and skills
Lea Samek and Mariagrazia Squicciarini
9. AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential
Luis I. Pradanos and Daniela Inclezan
10. AI-based technologies in the phygital care journey
Marialuisa Marzullo, Irene Di Bernardo, Tiziana Russo Spena, and Cristina Mele
11. AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline international
Valentina Cucino and Giulio Ferrigno
12. Improving Healthcare by designing AI-human-centered systems
Francesco Schiavone, Gaetano Cafiero, and Michela De Rosa
Index
Davide La Torre, Francesco Paolo Appio, Hatem Masri, Francesca Lazzeri, and Francesco Schiavone
PART 1: Artificial intelligence: technological advancements and methodologies
1. Artificial and machine learning: Definitions and applications
Cinzia Colapinto, Riadh Ksantini, Davide La Torre, Hatem Masri, and Marco Repetto
2. Adopting machine learning and AI for data-drive decisions
Francesca Lazzeri
3. Neural networks and deep learning
Chiara Galimberti and Marco Repetto
PART 2: Artificial intelligence in business: opportunities and challenges
4. Artificial Intelligence in Human Resource Management: Objectives and Implications
Aizhan Tursunbayeva, Alessia Berni, and Luigi Moschera
5. Methodology for evaluating the appropriateness of a business process for robotic process automation
Lars Berghuis, Abhishta Abhishta, Wouter van Heeswijk, and Aizhan Tursunbayeva
6. Startups and Artificial Intelligence: Insights from Italy
Fabio Greco and Irene Di Bernardo
7. Integrating AI to blockchain and cryptocurrency: A case study
Mohamed Bechir Chenguel
PART 3: The societal impact of artificial intelligence
8. AI human capital, jobs and skills
Lea Samek and Mariagrazia Squicciarini
9. AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential
Luis I. Pradanos and Daniela Inclezan
10. AI-based technologies in the phygital care journey
Marialuisa Marzullo, Irene Di Bernardo, Tiziana Russo Spena, and Cristina Mele
11. AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline international
Valentina Cucino and Giulio Ferrigno
12. Improving Healthcare by designing AI-human-centered systems
Francesco Schiavone, Gaetano Cafiero, and Michela De Rosa
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
business model;AI;artificial intelligence;machine learning;innovation;AI Technology;Business Processes;Ai Application;Machine Learning Algorithms;Ml Model;Ai System;Unsupervised Ml;Ai Algorithm;Recurrent Neural Networks;Ai Model;UN;RPA;Fitbit Charge;Blockchain Technology;SME Manager;HRM Practice;Smart Contracts;Hr Technology;Blue Prism;Socio-emotional Skills;FANN;NSEERS;Process Selection Methods
Introduction
Davide La Torre, Francesco Paolo Appio, Hatem Masri, Francesca Lazzeri, and Francesco Schiavone
PART 1: Artificial intelligence: technological advancements and methodologies
1. Artificial and machine learning: Definitions and applications
Cinzia Colapinto, Riadh Ksantini, Davide La Torre, Hatem Masri, and Marco Repetto
2. Adopting machine learning and AI for data-drive decisions
Francesca Lazzeri
3. Neural networks and deep learning
Chiara Galimberti and Marco Repetto
PART 2: Artificial intelligence in business: opportunities and challenges
4. Artificial Intelligence in Human Resource Management: Objectives and Implications
Aizhan Tursunbayeva, Alessia Berni, and Luigi Moschera
5. Methodology for evaluating the appropriateness of a business process for robotic process automation
Lars Berghuis, Abhishta Abhishta, Wouter van Heeswijk, and Aizhan Tursunbayeva
6. Startups and Artificial Intelligence: Insights from Italy
Fabio Greco and Irene Di Bernardo
7. Integrating AI to blockchain and cryptocurrency: A case study
Mohamed Bechir Chenguel
PART 3: The societal impact of artificial intelligence
8. AI human capital, jobs and skills
Lea Samek and Mariagrazia Squicciarini
9. AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential
Luis I. Pradanos and Daniela Inclezan
10. AI-based technologies in the phygital care journey
Marialuisa Marzullo, Irene Di Bernardo, Tiziana Russo Spena, and Cristina Mele
11. AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline international
Valentina Cucino and Giulio Ferrigno
12. Improving Healthcare by designing AI-human-centered systems
Francesco Schiavone, Gaetano Cafiero, and Michela De Rosa
Index
Davide La Torre, Francesco Paolo Appio, Hatem Masri, Francesca Lazzeri, and Francesco Schiavone
PART 1: Artificial intelligence: technological advancements and methodologies
1. Artificial and machine learning: Definitions and applications
Cinzia Colapinto, Riadh Ksantini, Davide La Torre, Hatem Masri, and Marco Repetto
2. Adopting machine learning and AI for data-drive decisions
Francesca Lazzeri
3. Neural networks and deep learning
Chiara Galimberti and Marco Repetto
PART 2: Artificial intelligence in business: opportunities and challenges
4. Artificial Intelligence in Human Resource Management: Objectives and Implications
Aizhan Tursunbayeva, Alessia Berni, and Luigi Moschera
5. Methodology for evaluating the appropriateness of a business process for robotic process automation
Lars Berghuis, Abhishta Abhishta, Wouter van Heeswijk, and Aizhan Tursunbayeva
6. Startups and Artificial Intelligence: Insights from Italy
Fabio Greco and Irene Di Bernardo
7. Integrating AI to blockchain and cryptocurrency: A case study
Mohamed Bechir Chenguel
PART 3: The societal impact of artificial intelligence
8. AI human capital, jobs and skills
Lea Samek and Mariagrazia Squicciarini
9. AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential
Luis I. Pradanos and Daniela Inclezan
10. AI-based technologies in the phygital care journey
Marialuisa Marzullo, Irene Di Bernardo, Tiziana Russo Spena, and Cristina Mele
11. AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline international
Valentina Cucino and Giulio Ferrigno
12. Improving Healthcare by designing AI-human-centered systems
Francesco Schiavone, Gaetano Cafiero, and Michela De Rosa
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
business model;AI;artificial intelligence;machine learning;innovation;AI Technology;Business Processes;Ai Application;Machine Learning Algorithms;Ml Model;Ai System;Unsupervised Ml;Ai Algorithm;Recurrent Neural Networks;Ai Model;UN;RPA;Fitbit Charge;Blockchain Technology;SME Manager;HRM Practice;Smart Contracts;Hr Technology;Blue Prism;Socio-emotional Skills;FANN;NSEERS;Process Selection Methods