23,99 €
Artificial Intelligence 2024 Book 1 of 2. AI, #1
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- FormatePub
- ISBN8224205615
- EAN9798224205615
- Date de parution21/05/2024
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurVirtued Press
Résumé
The book is about Artificial Intelligence for Business in Industry 4.0: Demystified by Yang Yen Thaw and includes generative AI. It is an extensive guide designed to make AI concepts accessible and applicable for business and enterprise use. It features 111 AI terms and explanations, along with a practical case study to illustrate AI implementation. The book is structured to cover a broad range of topics: 1.
Introduction to AI: Defining AI, addressing misconceptions, and explaining its relevance today. 2. Case Study: A detailed strategy for AI adoption and implementation at a fictitious company, Sybar Industries. 3. AI Concepts: Definitions and explanations of core AI technologies, including machine learning, neural networks, and generative AI. 4. Implementation Guide: Steps for management support, building a digital culture, pilot projects, and leveraging investment in AI. 5.
Ethics and Compliance: Understanding the ethical implications of AI and ensuring compliance. 6. Future Directions: Insights into the future of AI, continuous learning, and innovation. The book emphasizes practical application, demystifying AI for business leaders, and providing a roadmap for successful AI integration in various business operations. It also highlights the importance of ethics and continuous improvement in AI practices.
Introduction to AI: Defining AI, addressing misconceptions, and explaining its relevance today. 2. Case Study: A detailed strategy for AI adoption and implementation at a fictitious company, Sybar Industries. 3. AI Concepts: Definitions and explanations of core AI technologies, including machine learning, neural networks, and generative AI. 4. Implementation Guide: Steps for management support, building a digital culture, pilot projects, and leveraging investment in AI. 5.
Ethics and Compliance: Understanding the ethical implications of AI and ensuring compliance. 6. Future Directions: Insights into the future of AI, continuous learning, and innovation. The book emphasizes practical application, demystifying AI for business leaders, and providing a roadmap for successful AI integration in various business operations. It also highlights the importance of ethics and continuous improvement in AI practices.
The book is about Artificial Intelligence for Business in Industry 4.0: Demystified by Yang Yen Thaw and includes generative AI. It is an extensive guide designed to make AI concepts accessible and applicable for business and enterprise use. It features 111 AI terms and explanations, along with a practical case study to illustrate AI implementation. The book is structured to cover a broad range of topics: 1.
Introduction to AI: Defining AI, addressing misconceptions, and explaining its relevance today. 2. Case Study: A detailed strategy for AI adoption and implementation at a fictitious company, Sybar Industries. 3. AI Concepts: Definitions and explanations of core AI technologies, including machine learning, neural networks, and generative AI. 4. Implementation Guide: Steps for management support, building a digital culture, pilot projects, and leveraging investment in AI. 5.
Ethics and Compliance: Understanding the ethical implications of AI and ensuring compliance. 6. Future Directions: Insights into the future of AI, continuous learning, and innovation. The book emphasizes practical application, demystifying AI for business leaders, and providing a roadmap for successful AI integration in various business operations. It also highlights the importance of ethics and continuous improvement in AI practices.
Introduction to AI: Defining AI, addressing misconceptions, and explaining its relevance today. 2. Case Study: A detailed strategy for AI adoption and implementation at a fictitious company, Sybar Industries. 3. AI Concepts: Definitions and explanations of core AI technologies, including machine learning, neural networks, and generative AI. 4. Implementation Guide: Steps for management support, building a digital culture, pilot projects, and leveraging investment in AI. 5.
Ethics and Compliance: Understanding the ethical implications of AI and ensuring compliance. 6. Future Directions: Insights into the future of AI, continuous learning, and innovation. The book emphasizes practical application, demystifying AI for business leaders, and providing a roadmap for successful AI integration in various business operations. It also highlights the importance of ethics and continuous improvement in AI practices.
