| Titre : |
Industrial applications of big data, AI, and blockchain |
| Type de document : |
document électronique |
| Auteurs : |
Mahmoud El Samad, Auteur ; Ghalia Nassreddine, Auteur ; Hani El-Chaarani, Auteur ; Sam El Nemar, Auteur |
| Editeur : |
IGI Global |
| Année de publication : |
2024 |
| Collection : |
Advances in computational intelligence and robotics |
| Importance : |
1 fichier PDF |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
979-83693-10472-- |
| Note générale : |
Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École.
Bibliogr. p. 300 - 340 . - Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Blockchains (Databases)--Industrial applications
Big data--Industrial applications
Artificial intelligence--Industrial applications |
| Index. décimale : |
004.8 Intelligence artificielle |
| Résumé : |
Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. AI systems may generate false alerts of money laundering, leading to wasted resources and unnecessary investigations. Cybersecurity threats are becoming more sophisticated, and AI systems need to evolve accordingly. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. The book also navigates through big data, a robust infrastructure adorned with the quintessence of the 5V characteristics—velocity, volume, value, variety, and veracity. It is a stronghold for developers, offering an efficient sanctuary for advanced database systems, encompassing services like data cleaning, storage, processing, and analysis. The gravitational pull of big data attracts both researchers and industrialists. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies. From the AI in money laundering detection to the blockchain in healthcare, each chapter unfurls a narrative stitched. |
| Note de contenu : |
In summary :
1. Artificial intelligence and big data analytics in green supply chain management: critical analysis.
2. Artificial intelligence applications in renewable power systems.
3. Artificial intelligence for money laundering detection.
4. Artificial intelligence in central banking: benefits and risks of ai for central banks.
5. Blockchain in healthcare.
6. Blockchain integration in upstream oil and gas: enhancing performance through innovation.
7. Blockchain technology through bitcoin and ethereum: a comprehensive review of their interdependent relationship.
8. Blockchain-based smart contracts: technical and usage aspects.
9. Cotton health-guard: ai-enhanced crop health assessment through image classification.
10. The role of social media presence, technology, and personalization in increasing sales and achieving sustainable business growth. |
Industrial applications of big data, AI, and blockchain [document électronique] / Mahmoud El Samad, Auteur ; Ghalia Nassreddine, Auteur ; Hani El-Chaarani, Auteur ; Sam El Nemar, Auteur . - IGI Global, 2024 . - 1 fichier PDF : ill.. - ( Advances in computational intelligence and robotics) . ISBN : 979-83693-10472-- Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École.
Bibliogr. p. 300 - 340 . - Index Langues : Anglais ( eng)
| Mots-clés : |
Blockchains (Databases)--Industrial applications
Big data--Industrial applications
Artificial intelligence--Industrial applications |
| Index. décimale : |
004.8 Intelligence artificielle |
| Résumé : |
Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. AI systems may generate false alerts of money laundering, leading to wasted resources and unnecessary investigations. Cybersecurity threats are becoming more sophisticated, and AI systems need to evolve accordingly. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. The book also navigates through big data, a robust infrastructure adorned with the quintessence of the 5V characteristics—velocity, volume, value, variety, and veracity. It is a stronghold for developers, offering an efficient sanctuary for advanced database systems, encompassing services like data cleaning, storage, processing, and analysis. The gravitational pull of big data attracts both researchers and industrialists. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies. From the AI in money laundering detection to the blockchain in healthcare, each chapter unfurls a narrative stitched. |
| Note de contenu : |
In summary :
1. Artificial intelligence and big data analytics in green supply chain management: critical analysis.
2. Artificial intelligence applications in renewable power systems.
3. Artificial intelligence for money laundering detection.
4. Artificial intelligence in central banking: benefits and risks of ai for central banks.
5. Blockchain in healthcare.
6. Blockchain integration in upstream oil and gas: enhancing performance through innovation.
7. Blockchain technology through bitcoin and ethereum: a comprehensive review of their interdependent relationship.
8. Blockchain-based smart contracts: technical and usage aspects.
9. Cotton health-guard: ai-enhanced crop health assessment through image classification.
10. The role of social media presence, technology, and personalization in increasing sales and achieving sustainable business growth. |
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