
Demystifying AI for business leaders, "The Business Case for AI" - endorsed by Ethereum co-founder Charles Hoskinson - transforms complex technology into actionable strategy. How did this #1 Amazon bestseller convince skeptical executives that AI isn't just hype but their competitive advantage?
通过作者的声音感受这本书
将知识转化为引人入胜、富含实例的见解
快速捕捉核心观点,高效学习
以有趣互动的方式享受这本书
Here's a radical idea that might save your company millions: stop trying to implement AI. At least, that's the counterintuitive wisdom at the heart of understanding what artificial intelligence can actually do for business. We've been sold a vision of AI as the ultimate solution to every business problem, yet 85% of AI projects fail to deliver meaningful results. Why? Because somewhere between the executive boardroom and the implementation team, we forgot to ask the most basic question: Does this problem actually need AI, or would better software engineering-or even a well-designed spreadsheet-work just fine? This isn't about dismissing AI's potential. It's about cutting through the hype to find where intelligence, artificial or otherwise, truly creates value. Think of AI not as a magic wand but as a specialized tool in your business toolkit-powerful when applied correctly, wasteful when forced into the wrong situations. The truth is, pursuing "AI for AI's sake" has become an expensive corporate ritual-driven by executive pressure, funding opportunities, and marketing goals that rarely deliver business value. Understanding what AI actually is, where it creates genuine value, and how to implement it strategically separates successful transformations from expensive failures that drain resources while delivering nothing but disappointment.
将《The Business Case for AI》的核心观点拆解为易于理解的要点,了解创新团队如何创造、协作和成长。
将《The Business Case for AI》提炼为快速记忆要点,突出坦诚、团队合作和创造力的关键原则。

通过生动的故事体验《The Business Case for AI》,将创新经验转化为令人难忘且可应用的精彩时刻。
随心提问,选择声音,共同创造真正与你产生共鸣的见解。

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