GENERATIVE AI FOR BUSINESS

A GUIDE BOOK 2025

The comprehensive guide to understanding and implementing Generative AI in your business strategy. Learn foundations, practical applications, ethics, and implementation strategies for leveraging AI in modern business operations.

GenAI for Business Book Cover

Why This Book Matters

Foundation

Understand the core concepts and technologies behind Generative AI and how they're reshaping business landscapes.

Toolkit

Discover practical tools, platforms, and implementation strategies for integrating GenAI into your business operations.

Tutorial

Follow step-by-step guides and real-world examples to apply GenAI solutions to common business challenges.

Strategy

Develop forward-thinking strategies to leverage GenAI for competitive advantage and sustainable growth.

What's Inside

Part I: Foundations

  • Foundations of Generative AI
  • Business Integration of Generative AI
  • Communicating with GenAI

The Foundations section provides a comprehensive introduction to Generative AI, explaining its history, operational principles, and the diverse array of models that power its capabilities. You'll learn how GenAI can be integrated into business operations across four levels and understand the challenges and considerations in this integration.

Part II: Business Applications and Implementation

  • Large language models and tools
  • API integration
  • Specialized tools for various tasks
  • AI Assistants, Automation, and Agents
  • Generative AI in Key Business Functions

This section explores practical applications of GenAI across different business functions, from marketing and R&D to human resources and general management. Learn about leading commercial models, implementation steps, and how to leverage specialized tools for content creation, professional support, research, and technical assistance.

Navigating the Ethical Landscape

  • Ethical Considerations of Generative AI
  • Impact on Workforce and Society
  • Global Regulatory Landscape
  • Legal Implications and Compliance Requirements

This crucial section addresses the ethical considerations of GenAI, including bias and fairness, accountability and transparency, data privacy, misinformation, intellectual property, and environmental impact. It also examines the global regulatory landscape, covering frameworks from the EU, China, Japan, and the United States.

Author Shubin Yu

About the Author

Shubin Yu

Shubin Yu is a leading expert in the field of Generative AI and its business applications. He is associate professor at HEC Paris and BI Norwegian Business School. He has developed several GenAI products such as MimiTalk.app. With extensive experience in both academic research and practical implementation, Yu provides a unique perspective on how businesses can leverage GenAI technologies for innovation and growth.

Visit GAIforResearch.com for more resources and updates.

Ready to Transform Your Business with GenAI?

Get your copy of "Generative AI for Business: A Guide Book 2025" and start implementing cutting-edge AI strategies today.