9789378543708 - the Agentic Enterprise: Strategic Frameworks for Scaling Autonomous Agentic Ai, Enterprise Roi, and Infrastructure (english Edition) by Kumar, Nitin; Kataria, Vipin (7 results)
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Paperback. Condition: new. Paperback. Agentic AI, which refers to autonomous systems that plan, reason, and execute across complex workflows, is no longer experimental. It is reshaping cost structures, customer experiences, and competitive hierarchies across every major industry. For executives, the question is no longer whether… to act. It is whether to lead or be displaced.This book delivers the strategic frameworks, financial models, and industry battle plans executives need to move from experimentation to market leadership. It covers the shift from automation to true agency, ROI modeling for agentic investment, macroeconomic and workforce transformation, industry-native deployment templates across financial services, retail, healthcare, telecommunications, and manufacturing, and intelligent automation infrastructure design that helps market leaders succeed.By the end of this book, C-suite leaders will be equipped to assess organizational agentic maturity, build board-level investment cases, architect competitive infrastructure, and deploy autonomous AI as a compounding strategic advantage.WHAT YOU WILL LEARN Optimizing multimodal streaming AI architectures. Applying agent-native performance ROI metrics. Build AI infrastructure that creates lasting competitive moats. Managing national labor market disruptions. Deploying 90-day strategic leadership sprints. Executing sector-specific transformation battle plans.WHO THIS BOOK IS FORThis book is for business executives, digital transformation leaders, enterprise architects, and AI/ML professionals looking to adopt AI agents to transform CX, operations, and ROI. Readers should be familiar with AI fundamentals; no deep coding is needed, but experience with APIs, cloud platforms, or LLM-based systems is helpful. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: new. Paperback. Agentic AI, which refers to autonomous systems that plan, reason, and execute across complex workflows, is no longer experimental. It is reshaping cost structures, customer experiences, and competitive hierarchies across every major industry. For executives, the question is no longer whether… to act. It is whether to lead or be displaced.This book delivers the strategic frameworks, financial models, and industry battle plans executives need to move from experimentation to market leadership. It covers the shift from automation to true agency, ROI modeling for agentic investment, macroeconomic and workforce transformation, industry-native deployment templates across financial services, retail, healthcare, telecommunications, and manufacturing, and intelligent automation infrastructure design that helps market leaders succeed.By the end of this book, C-suite leaders will be equipped to assess organizational agentic maturity, build board-level investment cases, architect competitive infrastructure, and deploy autonomous AI as a compounding strategic advantage.WHAT YOU WILL LEARN Optimizing multimodal streaming AI architectures. Applying agent-native performance ROI metrics. Build AI infrastructure that creates lasting competitive moats. Managing national labor market disruptions. Deploying 90-day strategic leadership sprints. Executing sector-specific transformation battle plans.WHO THIS BOOK IS FORThis book is for business executives, digital transformation leaders, enterprise architects, and AI/ML professionals looking to adopt AI agents to transform CX, operations, and ROI. Readers should be familiar with AI fundamentals; no deep coding is needed, but experience with APIs, cloud platforms, or LLM-based systems is helpful. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: new. Paperback. Agentic AI, which refers to autonomous systems that plan, reason, and execute across complex workflows, is no longer experimental. It is reshaping cost structures, customer experiences, and competitive hierarchies across every major industry. For executives, the question is no longer whether… to act. It is whether to lead or be displaced.This book delivers the strategic frameworks, financial models, and industry battle plans executives need to move from experimentation to market leadership. It covers the shift from automation to true agency, ROI modeling for agentic investment, macroeconomic and workforce transformation, industry-native deployment templates across financial services, retail, healthcare, telecommunications, and manufacturing, and intelligent automation infrastructure design that helps market leaders succeed.By the end of this book, C-suite leaders will be equipped to assess organizational agentic maturity, build board-level investment cases, architect competitive infrastructure, and deploy autonomous AI as a compounding strategic advantage.WHAT YOU WILL LEARN Optimizing multimodal streaming AI architectures. Applying agent-native performance ROI metrics. Build AI infrastructure that creates lasting competitive moats. Managing national labor market disruptions. Deploying 90-day strategic leadership sprints. Executing sector-specific transformation battle plans.WHO THIS BOOK IS FORThis book is for business executives, digital transformation leaders, enterprise architects, and AI/ML professionals looking to adopt AI agents to transform CX, operations, and ROI. Readers should be familiar with AI fundamentals; no deep coding is needed, but experience with APIs, cloud platforms, or LLM-based systems is helpful. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condition: Neu. The Agentic Enterprise | Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure (English Edition) | Nitin Kumar (u. a.) | Taschenbuch | Englisch | 2026 | BPB Publications | EAN 9789378543708 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad…Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Agentic AI, which refers to autonomous systems that plan, reason, and execute across complex workflows, is no longer experimental. It is reshaping cost structures, customer experiences, and competitive hierarchies across every major indu…stry. For executives, the question is no longer whether to act. It is whether to lead or be displaced.This book delivers the strategic frameworks, financial models, and industry battle plans executives need to move from experimentation to market leadership. It covers the shift from automation to true agency, ROI modeling for agentic investment, macroeconomic and workforce transformation, industry-native deployment templates across financial services, retail, healthcare, telecommunications, and manufacturing, and intelligent automation infrastructure design that helps market leaders succeed.By the end of this book, C-suite leaders will be equipped to assess organizational agentic maturity, build board-level investment cases, architect competitive infrastructure, and deploy autonomous AI as a compounding strategic advantage.WHAT YOU WILL LEARN¿ Optimizing multimodal streaming AI architectures.¿ Applying agent-native performance ROI metrics.¿ Build AI infrastructure that creates lasting competitive moats.¿ Managing national labor market disruptions.¿ Deploying 90-day strategic leadership sprints.¿ Executing sector-specific transformation battle plans.WHO THIS BOOK IS FORThis book is for business executives, digital transformation leaders, enterprise architects, and AI/ML professionals looking to adopt AI agents to transform CX, operations, and ROI. Readers should be familiar with AI fundamentals; no deep coding is needed, but experience with APIs, cloud platforms, or LLM-based systems is helpful.
