The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications (Paperback)

The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications By Kavita Ganesan Cover Image

The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications (Paperback)

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Launch AI initiatives that get results with this step-by-step blueprint for business leaders.


AI is much more than a sexy marketing gimmick. At its core, it's a powerful business tool that can make operations and decision-making more efficient, employees more productive, and customers delighted.


Unfortunately, leaders who want to take advantage of artificial intelligence often don't know where to start. The process can feel overwhelming-from examining existing software systems and choosing where to apply AI, to preparing every tier of the organization for the transition.


In this practical step-by-step guide for business leaders, Kavita Ganesan takes the mystery out of implementing AI, showing you how to launch AI and automation initiatives that get big results. With real-world AI examples to spark your own ideas, you'll learn how to identify high-impact AI opportunities, prepare for AI transitions, and measure your AI performance.


Get ready to discover:

  • What's true, what's hype, and what's realistic to expect from AI in your business.
  • How to spot true AI opportunities in your organization and capitalize on them in creative ways.
  • Three Pillars of AI success, a systematic framework for testing and evaluating the value of AI initiatives.


Simple and compelling, The Business Case for AI gives leaders the information and resources they need without the statistics, data science, or technical jargon. Whether you want to jumpstart your AI strategy, manage your AI initiatives for better outcomes, or simply find inspiration for your own AI applications, The Business Case for AI is your blueprint for AI success.

Product Details ISBN: 9781544528724
ISBN-10: 1544528728
Publisher: Opinosis Analytics Publishing
Publication Date: April 5th, 2022
Pages: 316
Language: English