Isbn: 9781569905623 - building ai agents for engineers: best practices for product development (12 risultati)

Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Hardcover. Condizione: Brand New. 250 pages. 6.69x0.75x9.45 inches. In Stock.

Condizione: New.

Paperback. Condizione: New.

hardcover. Condizione: Gut. 312 Seiten; 9781569905623.3 Gewicht in Gramm: 1.

Paperback. Condizione: New.

Buch. Condizione: Neu. Neuware - While rule-based automation follows predefined instructions to perform repetitive tasks, AI agents act autonomously and are able to make decisions in complex, dynamic situations. This book shows how to build AI agents for product development, particularly hardware development. It is aimed at development engineers, designers and engineering managers.The book covers the following topics:- Basic principles and architectures of agentic systems- Technological components of agentic systems: frameworks and patterns for designing agents as well as interfaces to CAx, PLM, and ERP systems- Governance, change management, and role responsibilities- Outlook: vision of a future engineering organizationStep by step, the book demonstrates how AI agents can be developed by using low-code platforms. It also considers Multi-Agent Systems (MAS). MAS go one step further by combining several AI agents that interact with each other to achieve common or individual goals. The book provides criteria for selecting pilot projects and guides you through the project phases of the implementation. Use cases from the industry-from automotive tier suppliers to consumer goods OEMs up to engineering service providers-provide valuable practical insights from engineering leaders at companies such as NASA, Miele, IMS Gear or ARRK Engineering. They show how AI agents can reduce costs in product development and provide a competitive advantage through shorter time-to-market cycles.…

Condizione: gut. 2026. Building AI Agents for Engineers: Best Practices for Product Development In englischer Sprache. pages.

Paperback. Condizione: new. Paperback. While rule-based automation follows predefined instructions to perform repetitive tasks, AI agents act autonomously and are able to make decisions in complex, dynamic situations. This book shows how to build AI agents for product development, particularly hardware development. It is aimed at development engineers, designers and engineering managers.The book covers the following topics: - Basic principles and architectures of agentic systems- Technological components of agentic systems: frameworks and patterns for designing agents as well as interfaces to CAx, PLM, and ERP systems- Governance, change management, and role responsibilities- Outlook: vision of a future engineering organizationStep by step, the book demonstrates how AI agents can be developed by using low-code platforms. It also considers Multi-Agent Systems (MAS). MAS go one step further by combining several AI agents that interact with each other to achieve common or individual goals. The book provides criteria for selecting pilot projects and guides you through the project phases of the implementation. Use cases from the industry--from automotive tier suppliers to consumer goods OEMs up to engineering service providers--provide valuable practical insights from engineering leaders at companies such as NASA, Miele, IMS Gear or ARRK Engineering. They show how AI agents can reduce costs in product development and provide a competitive advantage through shorter time-to-market cycles. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. While rule-based automation follows predefined instructions to perform repetitive tasks, AI agents act autonomously and are able to make decisions in complex, dynamic situations. This book shows how to build AI agents for product development, particularly hardware development. It is aimed at development engineers, designers and engineering managers.The book covers the following topics: - Basic principles and architectures of agentic systems- Technological components of agentic systems: frameworks and patterns for designing agents as well as interfaces to CAx, PLM, and ERP systems- Governance, change management, and role responsibilities- Outlook: vision of a future engineering organizationStep by step, the book demonstrates how AI agents can be developed by using low-code platforms. It also considers Multi-Agent Systems (MAS). MAS go one step further by combining several AI agents that interact with each other to achieve common or individual goals. The book provides criteria for selecting pilot projects and guides you through the project phases of the implementation. Use cases from the industry--from automotive tier suppliers to consumer goods OEMs up to engineering service providers--provide valuable practical insights from engineering leaders at companies such as NASA, Miele, IMS Gear or ARRK Engineering. They show how AI agents can reduce costs in product development and provide a competitive advantage through shorter time-to-market cycles. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…