Artificial Intelligence in Manufacturing / John Soldatos  

Public ISBD Titre : Artificial Intelligence in Manufacturing Autre titre : Enabling Intelligent, Flexible and Cost-Effective Production Through AI Type de document : document électronique Auteurs : John Soldatos, Auteur Editeur : Berlin [Allemagne] : Springer Nature Année de publication : 2024 Importance : 505 p. Présentation : ill. ISBN/ISSN/EAN : 978-3-031-46452-2 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Communications Engineering  Networks  Artificial Intelligence  Big Data, Professional Computing  Information Technology IT  Cloud Computing Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. En ligne : https://doi.org/10.1007/978-3-031-46452-2 Artificial Intelligence in Manufacturing ; Enabling Intelligent, Flexible and Cost-Effective Production Through AI [document électronique] / John Soldatos, Auteur . - Berlin (Allemagne) : Springer Nature, 2024 . - 505 p. : ill. ISBN : 978-3-031-46452-2 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Communications Engineering  Networks  Artificial Intelligence  Big Data, Professional Computing  Information Technology IT  Cloud Computing Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. En ligne : https://doi.org/10.1007/978-3-031-46452-2

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Big Data and Artificial Intelligence in Digital Finance / John Soldatos  

Public ISBD Titre : Big Data and Artificial Intelligence in Digital Finance : Increasing Personalization and Trust in Digital Finance using Big Data and AI Type de document : document électronique Auteurs : John Soldatos, Auteur ; Dimosthenis Kyriazis, Auteur Editeur : Berlin [Germany] : Springer Nature Limited Année de publication : 2022 Importance : 363 p. Présentation : ill. ISBN/ISSN/EAN : 978-3-030-94590-9 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Artificial Intelligence  Big Data  Digital Finance  FinTech  Blockchain  RegTech Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. En ligne : https://doi.org/10.1007/978-3-030-94590-9 Big Data and Artificial Intelligence in Digital Finance : Increasing Personalization and Trust in Digital Finance using Big Data and AI [document électronique] / John Soldatos, Auteur ; Dimosthenis Kyriazis, Auteur . - Berlin (Germany) : Springer Nature Limited, 2022 . - 363 p. : ill. ISBN : 978-3-030-94590-9 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Artificial Intelligence  Big Data  Digital Finance  FinTech  Blockchain  RegTech Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. En ligne : https://doi.org/10.1007/978-3-030-94590-9

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