相關主題
商品描述
This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors.
Features:
- Presents a compendium of methodologies and technologies in industrial AI and digitalisation.
- Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation.
- Covers a broad range of academic and industrial issues within the field of asset management.
- Discusses the impact of Industry 4.0 in other sectors.
- Includes a dedicated chapter on real-time case studies.
This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.
商品描述(中文翻譯)
本書提供了如何在工業環境中接觸和利用與人工智慧（AI）相關的數據科學工具、技術和方法論的見解。它解釋了分散式計算和AI技術的本質及其相互關聯。書中包含了各種技術和方法論的描述，以及在工業環境中開發AI解決方案時的目的和好處。此外，本書總結了來自多個工業領域的AI技術部署項目的經驗。
特色：
- 提供工業AI和數位化方法論及技術的彙編。
- 說明從感測器到執行的完整循環，定義並區分AI和數位化。
- 涵蓋資產管理領域內廣泛的學術和工業問題。
- 討論工業4.0在其他領域的影響。
- 包含專門針對即時案例研究的章節。
本書的目標讀者為工業和軟體工程、網路安全、AI和機器學習（ML）領域的研究人員和專業人士、工程經理、運營和維護專家、資產管理者，以及數位和AI製造專家。
