The Agentic Enterprise : Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure
Description: 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 wh...
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| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
New Delhi :
BPB Publications
2026.
Paris : Cyberlibris |
| Online Erişim: | Accès Université d'Orléans et IFPM |
| Not: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789378543708.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The Agentic Enterprise, Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure, Nitin Kumar, Vipin Kataria, New Delhi, BPB Publications, 2026, 1 vol. (480 p.), 978-93-7854-370-8 |
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| 041 | 0 | |a eng | |
| 100 | 1 | |a Kumar, Nitin. | |
| 245 | 1 | 0 | |a The Agentic Enterprise : |b Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure |c Nitin Kumar, Vipin Kataria. |
| 260 | |a New Delhi : |b BPB Publications. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2026. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789378543708.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 505 | 0 | |a 1. From Automation to Agency -- 2. Transforming Customer Experience Intelligence -- 3. Building the Agentic Enterprise -- 4. Driving Economic and Workforce Transformation -- 5. Designing ROI and Business Cases -- 6. Equipping Executives for Competitive Survival -- 7. Architecting Intelligent Automation Infrastructure -- 8. Executing Strategic Investment Playbooks | |
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a Description: 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 for: This 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 | ||
| 700 | 1 | |a Kataria, Vipin. |4 aut | |
| 776 | 0 | |t The Agentic Enterprise |o Strategic frameworks for scaling autonomous agentic AI, enterprise ROI, and infrastructure |f Nitin Kumar, Vipin Kataria |c New Delhi |n BPB Publications |d 2026 |p 1 vol. (480 p.) |z 978-93-7854-370-8 | |
| 856 | 4 | |5 452349901:894031325 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88980648 |z Accès Université d'Orléans et IFPM | |
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