Impact of Artificial Intelligence in Business and Society

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; Schiavone, Francesco; Appio, Francesco Paolo; La Torre, Davide

Taylor & Francis Ltd

07/2023

280

Dura

Inglês

9781032303413

15 a 20 dias

Descrição não disponível.
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
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data science applications;business analytics methods;machine learning techniques;robotic process automation;human-centred computing;AI governance ethics;AI-driven organisational innovation