Overview

"The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications" by Kavita Ganesan is a comprehensive guide for business leaders looking to understand and implement artificial intelligence (AI) strategies in their organizations. The book provides a detailed overview of AI technologies, their potential impact on business operations, and best practices for successful AI adoption.

Ganesan begins by explaining the basics of AI, including machine learning, natural language processing, and computer vision, and how these technologies can be applied to various business functions such as marketing, sales, customer service, and operations. She also discusses the potential benefits of AI, such as improved efficiency, cost savings, and enhanced customer experiences.

The book then delves into the practical aspects of implementing AI in a business context, including how to build a business case for AI, how to select the right AI technologies for specific use cases, and how to manage the risks and ethical considerations associated with AI adoption. Ganesan also provides real-world examples of successful AI implementations in various industries, offering valuable insights and lessons learned from these case studies.

Throughout the book, Ganesan emphasizes the importance of leadership in driving AI initiatives, and provides guidance on how business leaders can effectively lead their organizations through the process of AI adoption. She also addresses common challenges and pitfalls that organizations may encounter when implementing AI, and offers strategies for overcoming these obstacles.

Overall, "The Business Case for AI" is a valuable resource for business leaders seeking to understand the potential of AI and how to leverage it to drive business growth and innovation. Ganesan's practical insights and real-world examples make this book a must-read for any leader looking to harness the power of AI in their organization.

Concepts you can learn

  • Understanding the business case for AI
  • Developing AI strategies for business
  • Implementing best practices for AI in realworld applications
  • Leveraging AI to drive business growth and innovation
  • Overcoming challenges and pitfalls in AI adoption
  • Identifying opportunities for AI in various industries
  • Learning from realworld case studies and examples of successful AI implementation
  • Navigating ethical and regulatory considerations in AI deployment
  • Building a competitive advantage through AI integration
  • Empowering leaders to make informed decisions about AI for their organizations