Generative Ai For Transformational Management

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Generative AI for Transformational Management

Author: Gomathi Sankar, Jeganathan
language: en
Publisher: IGI Global
Release Date: 2024-08-27
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.
Generative AI Transformation Blueprint

2025 Edition. This practical and concise guide provides senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap. This book is designed for busy executives and can be read in less than two hours. For a more in-depth exploration of Generative AI for business, check out our book "Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype." Who this Book is For The core audience comprises senior executives like CEOs, Transformation advisors, strategic planners, technology heads, product leaders or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp actionable package to aid planning. Key Topics Covered - Understanding Generative AI: What it is, key capabilities and applications, strengths and limitations. - Strategic Alignment: Mapping generative AI to business goals, prioritizing high-impact use cases, managing risks. - Talent and Skills: Developing in-house capabilities through upskilling programs, attracting and retaining external AI talent. - Technology Integration: Assessing IT infrastructure readiness, optimizing make vs buy decisions for AI solutions. - Implementation and Scaling: Pilot testing for viability, expanding validated applications through metrics-driven scaling. - Risk Management and Ethics: Governing biases and reliability issues, safeguarding data privacy and security. - Organizational Change: Securing leadership commitment, preparing the workforce to adopt new AI-powered processes. - Continuous Improvement: Quantifying value through KPIs, optimizing models through responsive feedback loops. - Future-Proofing: Investing in R&D for sustained innovation, building agility to adapt to rapid AI progress. Featuring use studies, business scenarios, practical frameworks, and research insights from top consultancies and AI leaders, this book delivers a visionary yet pragmatic roadmap for AI transformation. A must-read guide for any organization looking to leverage generative AI for competitive advantage.
Digital Transformation with CRM: AI Strategies for Scalable enterprise solutions in Public and private sectors

Author: Lakshman Pradeep Reddy Vangala
language: en
Publisher: Xoffencer International Book Publication House
Release Date: 2025-06-24
Digital transformation has become a cornerstone of strategic growth across public and private enterprises, driven by the rapid evolution of artificial intelligence (AI) and customer relationship management (CRM) technologies. This Book explores how AI-integrated CRM systems are revolutionizing organizational processes, enhancing customer engagement, and enabling scalable enterprise solutions. In the public sector, AI-powered CRMs are helping governments improve citizen services, automate administrative workflows, and deliver personalized interactions. In the private sector, these systems optimize sales, marketing, and customer service operations through predictive analytics, natural language processing, chatbots, and intelligent automation. The abstract outlines the strategic role of AI in transforming traditional CRM platforms into dynamic, data-driven ecosystems that foster operational efficiency, agility, and customer-centricity. The study also highlights the challenges of data privacy, system integration, and skill gaps while proposing implementation frameworks and best practices for successful adoption. Through a comparative analysis, case studies, and future outlooks, this research offers a comprehensive view of how AI-driven CRM solutions can unlock sustained digital growth and transformation in diverse enterprise environments.