Artificial Intelligence (AI) offers capabilities that appear universal—such as prediction, classification, optimisation, generation, and automation. However, these same capabilities may succeed in one industry while failing in another. The difference lies not only in the technology but also in the data, workflows, regulations, infrastructure, institutions, and the people involved.
The book *Applied AI Across Industries* examines how organisations can transform horizontal AI capabilities into effective vertical applications using a consistent analytical framework. It explores AI across various sectors, including financial services, healthcare and life sciences, manufacturing, energy and utilities, agriculture and food systems, transportation and logistics, retail and e-commerce, media and communications, professional services, and the public sector.
Readers will learn how to:
• Evaluate industries based on variables such as data, workflows, and regulations.
• Distinguish between technical capabilities and deployable enterprise solutions.
• Assess AI readiness and adoption barriers within each sector.
• Understand the roles of governance, accountability, infrastructure, and human decision-making.
• Recognise patterns of successful and unsuccessful AI transformations.
• Identify opportunities for responsible cross-industry transfer.
Case studies involving organisations and systems—such as IBM Watson Health, Maersk Remote Container Management, Sea Group and Shopee, Netflix, Harvey AI, and Estonia's X-Road architecture—bridge the analytical framework with real-world practice.
A concluding section synthesises lessons learned across these various industries. It presents an integrated overview of AI leaders putting the technology into practice. By evaluating AI opportunities across various industries, the book enables readers to apply the framework to their own chosen sectors, organisations, or proposed initiatives.
Designed for students, executives, project managers, consultants, policymakers, and technology professionals, this book offers a systematic approach to understanding not only what AI can achieve but also the changes required for it to operate responsibly within a specific industry.
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Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Ouanhlee, Pharanun Ilustrador. Print on Demand. Nº de ref. del artículo: I-9798173368751
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Ouanhlee, Pharanun Ilustrador. Paperback. Artificial Intelligence (AI) offers capabilities that appear universal-such as prediction, classification, optimisation, generation, and automation. However, these same capabilities may succeed in one industry while failing in another. The difference lies not only in the technology but also in the data, workflows, regulations, infrastructure, institutions, and the people involved.The book *Applied AI Across Industries* examines how organisations can transform horizontal AI capabilities into effective vertical applications using a consistent analytical framework. It explores AI across various sectors, including financial services, healthcare and life sciences, manufacturing, energy and utilities, agriculture and food systems, transportation and logistics, retail and e-commerce, media and communications, professional services, and the public sector.Readers will learn how to: - Evaluate industries based on variables such as data, workflows, and regulations.- Distinguish between technical capabilities and deployable enterprise solutions.- Assess AI readiness and adoption barriers within each sector.- Understand the roles of governance, accountability, infrastructure, and human decision-making.- Recognise patterns of successful and unsuccessful AI transformations.- Identify opportunities for responsible cross-industry transfer.Case studies involving organisations and systems-such as IBM Watson Health, Maersk Remote Container Management, Sea Group and Shopee, Netflix, Harvey AI, and Estonia's X-Road architecture-bridge the analytical framework with real-world practice.A concluding section synthesises lessons learned across these various industries. It presents an integrated overview of AI leaders putting the technology into practice. By evaluating AI opportunities across various industries, the book enables readers to apply the framework to their own chosen sectors, organisations, or proposed initiatives.Designed for students, executives, project managers, consultants, policymakers, and technology professionals, this book offers a systematic approach to understanding not only what AI can achieve but also the changes required for it to operate responsibly within a specific industry. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798173368751
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Ouanhlee, Pharanun Ilustrador. Neuware. Nº de ref. del artículo: 9798173368751
Cantidad disponible: 2 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Ouanhlee, Pharanun Ilustrador. Paperback. Artificial Intelligence (AI) offers capabilities that appear universal-such as prediction, classification, optimisation, generation, and automation. However, these same capabilities may succeed in one industry while failing in another. The difference lies not only in the technology but also in the data, workflows, regulations, infrastructure, institutions, and the people involved.The book *Applied AI Across Industries* examines how organisations can transform horizontal AI capabilities into effective vertical applications using a consistent analytical framework. It explores AI across various sectors, including financial services, healthcare and life sciences, manufacturing, energy and utilities, agriculture and food systems, transportation and logistics, retail and e-commerce, media and communications, professional services, and the public sector.Readers will learn how to: - Evaluate industries based on variables such as data, workflows, and regulations.- Distinguish between technical capabilities and deployable enterprise solutions.- Assess AI readiness and adoption barriers within each sector.- Understand the roles of governance, accountability, infrastructure, and human decision-making.- Recognise patterns of successful and unsuccessful AI transformations.- Identify opportunities for responsible cross-industry transfer.Case studies involving organisations and systems-such as IBM Watson Health, Maersk Remote Container Management, Sea Group and Shopee, Netflix, Harvey AI, and Estonia's X-Road architecture-bridge the analytical framework with real-world practice.A concluding section synthesises lessons learned across these various industries. It presents an integrated overview of AI leaders putting the technology into practice. By evaluating AI opportunities across various industries, the book enables readers to apply the framework to their own chosen sectors, organisations, or proposed initiatives.Designed for students, executives, project managers, consultants, policymakers, and technology professionals, this book offers a systematic approach to understanding not only what AI can achieve but also the changes required for it to operate responsibly within a specific industry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798173368751
Cantidad disponible: 1 disponibles