Atjaunināt sīkdatņu piekrišanu

AI-Centered Enterprise: Reshaping Organizations with Context Aware AI [Mīkstie vāki]

, ,
  • Formāts: Paperback / softback, 172 pages, height x width: 229x152 mm, weight: 820 g, 5 Tables, black and white; 17 Line drawings, black and white; 17 Illustrations, black and white
  • Izdošanas datums: 13-Jul-2025
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-10: 103289170X
  • ISBN-13: 9781032891705
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 32,60 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Bibliotēkām
AI-Centered Enterprise: Reshaping Organizations with Context Aware AIPalielināt
  • Formāts: Paperback / softback, 172 pages, height x width: 229x152 mm, weight: 820 g, 5 Tables, black and white; 17 Line drawings, black and white; 17 Illustrations, black and white
  • Izdošanas datums: 13-Jul-2025
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-10: 103289170X
  • ISBN-13: 9781032891705
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781032891705.html
Keywords:
"AI is evolving in a way that mirrors how past technologies were initially adopted. Right now, most organizations are adding AI tools to their existing systems without rethinking their overall processes. But to fully unlock the potential of AI, companieswill eventually need to build their operations around it. As Generative AI continues to develop, it's becoming more context-aware, capable of understanding situations and making decisions. This shift will move AI beyond simply improving individual tasks.It will enable smarter organizational interactions, powered by technologies like Knowledge Graphs for understanding and Intelligent Agents for decision-making. Over time, businesses will transform into AI-Centered Enterprises (ACEs), using this advanced technology to create new value in internal marketplaces. Unlike past approaches like Business Process Reengineering, this change isn't about completely overhauling processes. Instead, it's about rethinking how information flows within organizations. With Context-Aware AI, companies can identify and fix information bottlenecks, enabling smoother, more dynamic communication through flexible, agentic AI platforms rather than rigid, tightly-structured systems. Understanding this transformation requires a basic understanding of how businesses work. It also means recognizing the limits of AI and knowing where human expertise is still essential. This book offers that knowledge, along with real-life examples and practical tips to help businesses navigate this transformation"-- Provided by publisher.

AI is evolving in a way that mirrors how past technologies were initially adopted. Right now, most organizations are adding AI tools to their existing systems without rethinking their overall processes. But to fully unlock the potential of AI, companies will eventually need to build their operations around it.

As Generative AI continues to develop, it’s becoming more context-aware, capable of understanding situations and making decisions. This shift will move AI beyond simply improving individual tasks. It will enable smarter organizational interactions, powered by technologies like Knowledge Graphs for understanding and Intelligent Agents for decision-making.

Over time, businesses will transform into AI-Centered Enterprises (ACEs), using this advanced technology to create new value in internal marketplaces. Unlike past approaches like Business Process Reengineering, this change isn’t about completely overhauling processes. Instead, it’s about rethinking how information flows within organizations. With Context-Aware AI, companies can identify and fix information bottlenecks, enabling smoother, more dynamic communication through flexible, agentic AI platforms rather than rigid, tightly-structured systems.

Understanding this transformation requires a basic understanding of how businesses work. It also means recognizing the limits of AI and knowing where human expertise is still essential. This book offers that knowledge, along with real-life examples and practical tips to help businesses navigate this transformation.



Most organizations are adding AI tools to their existing systems without rethinking their overall processes. To unlock the potential of AI, companies will eventually need to build their operations around it. This book offers that knowledge, along with real-life examples and practical tips to help businesses navigate this transformation.

Recenzijas

"As companies are still grappling with the introduction of AI, this book makes a compelling case for building an AI-centered organization. A must-read for AI practitioners!" - Jean-Jacques Henchoz, Chairman of the Executive Board, Hannover Re.

"The AI-Centered Enterprise offers a practical roadmap to deploying AI in precision enterprise applications. It makes it easier to evaluate and identify transformative business opportunities that emerging companies and entrepreneurial executives can pursue." - Ursheet Parikh, Partner, Mayfield Fund

"This book empowers global organizations, including those in the healthcare sector, to effectively and ethically implement AI. The AI-Centered Enterprise is a must read for anyone trying to figure out what this powerful new tool can and cant do, how to use it, and how to ensure that human expertise remains at the heart of all we do!" - Dr. Megan Ranney, Dean, Yale School of Public Health

"There is so much hype and fear about how AI will disrupt existing occupations and organizations. This book cuts through the noise by offering a clear, human-centric framework for business managers." - Robert Seamans, Professor of Management and Organizations, Stern School of Business, NYU

One of the top priorities for any CEO is how to build a future ready enterprise. In this context, how we integrate and leverage AI is one of the critical questions. To the benefit of all company leaders, the authors share their thought provoking yet practical insights to help us think about how we build an AI-Centered Enterprise. - Magnus Ahlquist, CEO, Securitas

For years, business workflows have been constrained by static software systems of record. Agentic AI is a system of action that allows for more intuitive workflows, amplifying the intelligence and productivity of the human in the enterprise. The AI-Centered Enterprise provides an inside view of this transformation and is a must read for every business professional. - Anupam Banerjee, Managing Director, Vector Capital Management.

The focus of this book on unlimited value potential through AI interventions in organizational interactions is a great insight for any enterprise. It goes beyond the research mindset and highlights how key ingredients like human interaction, situational awareness and ability to calibrate technology appropriately are important in driving AI adoption. Great read for people and organizations struggling to find practical approaches to being AI-driven. - Prateek Mital, General Manager - AI, Hitachi India Limited

Introduction Foreword Acknowledgements Glossary PART I FOUNDATION
1.
The Generative Generation
2. The Unshackled Enterprise
3. Intent Intelligence
PART II IMAGINATION
4. Individual Productivity
5. Interactive Enhancement
6. Marketplace Enrichment PART III - IMPLEMENTATION
7. The 3C Framework
8.
Business Information Reengineering
9. Strategic Priorities
10. Beyond the
enterprise
Ram Bala is an Associate Professor of AI & Analytics at Santa Clara University's Leavey School of Business. In addition to his cutting edge research on pricing, marketplace design, and supply chain decisions in dynamic markets, he has built products around these applications at leading startups and Fortune 500 companies. He is actively involved in AI-driven business transformation, co-leading the Prometheus Lab on AI and Business, and co-founding Samvid, an Agentic AI startup for logistics and supply chain management.

Natarajan Balasubramanian is the Albert & Betty Hill Endowed Professor at the Whitman School of Management at Syracuse University. He studies how technology, human capital, organizational learning, and innovation contribute to business value creation.

Amit Joshi is a Professor of AI, Analytics and Marketing Strategy at IMD, specializes in helping organizations use artificial intelligence and develop for their big data, analytics and AI capabilities. An award-winning professor and researcher, he has extensive experience of AI and analytics driven transformations in industries such as banking, fintech, retail, services, automotive, telecoms and pharma.