Padmanabham (60 resultados)

Condición: New. pp. 155.

Condición: New. pp. 155.

Condición: New. pp. 155.

Condición: New. pp. 520 3rd Edition.

Hardcover. Condición: VG. Hardcover / 30pp.

Hardcover. Condición: New. ISBN:9789351248569.

Condición: New.

Hardcover. Condición: New. 1st Edition. Minerals are an essential component of the nation's resources base towards economic development. Mineral beneficiation presents opportunities for development of new entrepreneurs in large and small mining industries. The developing countries need to concentrate for exploitation of their resources for national development in view of the modern and innovative researches and technological advances within an environment of sustainability consciousness in new world trade regime, etc. Developing countries will play an important role in that expansion on the demand side, as well as on the supply side, given shifts in exploration and mining development investments. For this reason, there is a need for policy makers, scientists, technologists, academics and other industry experts to come together and assess ways and means to realize the potential of the mineral resource base in developing countries and its contribution to industrial development. In this context, the Centre for Science and Technology of the Non-Aligned and Other Developing Countries (NAM S&T Centre) had organised a series of three International Workshops and the latest 3rd International Workshop on 'Mineral Processing and Beneficiation' was held in Harare, Zimbabwe during 11-14 September 2014 jointly with the Ministry of Higher and Tertiary Education, Science and Technology Development and the Ministry of Mines and Mining Development of the Republic of Zimbabwe. The workshop was attended by 110 participants from 15 countries representing Afghanistan, Guyana, Indonesia, Iran, Malaysia, Mauritius, Myanmar, Nigeria, South Africa, Sri Lanka, Tanzania, Uganda, Vietnam, Zambia and of which 89 delegates were from the host country Zimbabwe. The present book, edited by Dr. G. Padmanabham is a follow up of Harare Workshop comprising 14 scientific and technical papers contributed by the experts from 12 countries. The book is expected to be useful to all the stakeholders in Mineral processing and beneficiation industry, from researchers to policy makers and government officials in the developing countries. (jacket).…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. PRINT ON DEMAND pp. 520.

Taschenbuch. Condición: Neu. Neuware - Enterprise AI Architecture - Volume II: Running the StackBuilding AI applications is only the beginning. The real challenge is operating, governing, securing, and scaling AI systems in production.Enterprise AI Architecture - Volume II Running the Stack provides a practical framework for managing the operational layers of modern enterprise AI systems. Built around the Nine-Layer Enterprise AI Architecture, this volume focuses on the technologies, processes, and governance practices required to move from successful prototypes to reliable enterprise platforms.Covering MLOps, model serving, observability, evaluation, governance, security, compliance, and enterprise operations, this book equips architects, engineers, and technology leaders with the tools and patterns needed to run AI systems safely and effectively at scale.Whether you are deploying your first production AI workload, establishing an enterprise AI platform, or defining governance controls for responsible AI adoption, this volume offers practical guidance grounded in real-world architecture principles and operational best practices.In This Volume You will Learn- Enterprise AI operational architectures- Model serving and inference platforms- MLOps and model lifecycle management- Observability and evaluation frameworks- AI governance and guardrail strategies- Security, compliance, and risk management- Enterprise platform engineering practices- Production readiness and operational excellence- Scalability, reliability, and performance optimization- Building sustainable AI operating modelsDesigned For- Enterprise Architects- AI Architects- Solution Architects- Platform Engineers- MLOps Engineers- Security and Governance Teams- CIOs and CTOs- Technology LeadersEnterprise AI Architecture - Volume II serves as a practical field guide for organizations seeking to operate AI systems that are scalable, observable, governable, secure, and built to last.…

Condición: New.

Taschenbuch. Condición: Neu. Neuware - Artificial Intelligence is transforming every aspect of modern software and enterprise architecture. Yet building successful AI systems requires far more than selecting a foundation model or experimenting with the latest tools.Enterprise AI Architecture - Volume I: Designing the Stack provides a practical blueprint for designing modern AI applications using foundation models, protocols, agents, retrieval systems, memory architectures, and development frameworks.Built around the author's Nine-Layer Enterprise AI Architecture, this volume helps architects and technology leaders understand how the rapidly evolving AI ecosystem fits together as a coherent, interoperable, and scalable architecture.Rather than focusing on individual products, this book emphasizes architectural principles, design patterns, decision frameworks, and technology evaluation criteria that remain relevant as tools and platforms evolve.Inside, you'll learn how to: - Understand the role of foundation models in enterprise AI systems- Design AI applications using modern protocols and interoperability standards such as MCP- Build agent-based architectures and orchestration workflows- Implement retrieval-augmented generation (RAG), memory systems, and knowledge architectures- Evaluate AI development tools and coding assistants using structured architectural criteria- Apply the Nine-Layer Enterprise AI Architecture to real-world enterprise scenarios- Design AI systems that are scalable, observable, governable, and future-readyThis volume is designed for: - Enterprise Architects- AI Architects- Solution Architects- Software Architects- AI Engineers- Platform Engineers- Technical LeadersWhether you are building your first AI-powered application or defining an enterprise-wide AI strategy, this book provides the architectural foundation needed to design AI systems that last.Build the AI Application. Design the Stack. Architect for the Future. …

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. 3rd Rd ed.

Condición: New.

Hardback. Condición: New.

Hardback. Condición: New. 3rd Rd ed.

Paperback. Condición: new. Paperback. Artificial Intelligence is transforming every aspect of modern software and enterprise architecture. Yet building successful AI systems requires far more than selecting a foundation model or experimenting with the latest tools.Enterprise AI Architecture - Volume I: Designing the Stack provides a practical blueprint for designing modern AI applications using foundation models, protocols, agents, retrieval systems, memory architectures, and development frameworks.Built around the author's Nine-Layer Enterprise AI Architecture, this volume helps architects and technology leaders understand how the rapidly evolving AI ecosystem fits together as a coherent, interoperable, and scalable architecture.Rather than focusing on individual products, this book emphasizes architectural principles, design patterns, decision frameworks, and technology evaluation criteria that remain relevant as tools and platforms evolve.Inside, you'll learn how to: - Understand the role of foundation models in enterprise AI systems- Design AI applications using modern protocols and interoperability standards such as MCP- Build agent-based architectures and orchestration workflows- Implement retrieval-augmented generation (RAG), memory systems, and knowledge architectures- Evaluate AI development tools and coding assistants using structured architectural criteria- Apply the Nine-Layer Enterprise AI Architecture to real-world enterprise scenarios- Design AI systems that are scalable, observable, governable, and future-readyThis volume is designed for: - Enterprise Architects- AI Architects- Solution Architects- Software Architects- AI Engineers- Platform Engineers- Technical LeadersWhether you are building your first AI-powered application or defining an enterprise-wide AI strategy, this book provides the architectural foundation needed to design AI systems that last.Build the AI Application. Design the Stack. Architect for the Future. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Enterprise AI Architecture - Volume II: Running the StackBuilding AI applications is only the beginning. The real challenge is operating, governing, securing, and scaling AI systems in production.Enterprise AI Architecture - Volume II Running the Stack provides a practical framework for managing the operational layers of modern enterprise AI systems. Built around the Nine-Layer Enterprise AI Architecture, this volume focuses on the technologies, processes, and governance practices required to move from successful prototypes to reliable enterprise platforms.Covering MLOps, model serving, observability, evaluation, governance, security, compliance, and enterprise operations, this book equips architects, engineers, and technology leaders with the tools and patterns needed to run AI systems safely and effectively at scale.Whether you are deploying your first production AI workload, establishing an enterprise AI platform, or defining governance controls for responsible AI adoption, this volume offers practical guidance grounded in real-world architecture principles and operational best practices.In This Volume You will Learn- Enterprise AI operational architectures- Model serving and inference platforms- MLOps and model lifecycle management- Observability and evaluation frameworks- AI governance and guardrail strategies- Security, compliance, and risk management- Enterprise platform engineering practices- Production readiness and operational excellence- Scalability, reliability, and performance optimization- Building sustainable AI operating modelsDesigned ForEnterprise ArchitectsAI ArchitectsSolution ArchitectsPlatform EngineersMLOps EngineersSecurity and Governance TeamsCIOs and CTOsTechnology LeadersEnterprise AI Architecture - Volume II serves as a practical field guide for organizations seeking to operate AI systems that are scalable, observable, governable, secure, and built to last. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.