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Every few years, a technology arrives with promises so grand that they seem to rewrite the rules of business overnight. The internet was supposed to make every company a global powerhouse. Big data was going to turn every manager into a clairvoyant. Now artificial intelligence carries that torch, and the claims have grown louder than ever. We hear that AI will eliminate millions of jobs, solve problems humans cannot, and create trillion-dollar industries. We hear that companies that fail to adop
**Author:** Thomas H. Davenport **Estimated Reading Time:** 45 minutes
How artificial intelligence is actually being used in businesses today, which applications deliver real value, and how to build an organization capable of putting cognitive technologies to work without falling for the hype.
Managers and executives who need to make practical decisions about AI, business leaders tired of inflated promises, and anyone who wants to understand what separates successful AI implementations from expensive experiments that go nowhere.
Every few years, a technology arrives with promises so grand that they seem to rewrite the rules of business overnight. The internet was supposed to make every company a global powerhouse. Big data was going to turn every manager into a clairvoyant. Now artificial intelligence carries that torch, and the claims have grown louder than ever. We hear that AI will eliminate millions of jobs, solve problems humans cannot, and create trillion-dollar industries. We hear that companies that fail to adopt AI will simply cease to exist. Some of this excitement is warranted. The underlying technologies have improved dramatically. Machine learning algorithms can now identify patterns in data that would take human analysts lifetimes to uncover. Natural language processing has advanced to the point where computers can hold conversations that feel almost human. Robotic process automation can handle thousands of routine tasks without fatigue or error. These are real capabilities with real business value. But the gap between what AI can do in a laboratory and what it actually accomplishes inside large organizations remains wide. Many companies have launched ambitious AI initiatives only to watch them stall. Others have purchased expensive AI tools that sit unused. Some have discovered that the technology works, but the organizational changes required to benefit from it are far more difficult than anyone anticipated. Thomas Davenport has spent decades studying how organizations actually adopt new technologies. His research cuts through the noise by examining what companies are really doing with AI, not what vendors and consultants claim they should be doing. What he found is both encouraging and sobering. AI is creating genuine value in specific, identifiable ways. But the companies succeeding with it are not the ones making the loudest announcements or spending the most money. They are the ones taking a measured, strategic approach. The problem with most AI discussions is that they focus on the technology itself. Executives ask which algorithms to use, which platforms to buy, which vendors to trust. These are important questions, but they are secondary. The primary question is simpler and harder: what business problem are you trying to solve, and is AI the best way to solve it? Organizations that start with the technology and go looking for problems tend to…
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Get the complete summary in the appAI creates value when applied to specific business problems, not when adopted for its own sake.
The three categories of AI are process automation, cognitive insight, and cognitive engagement.
Start with process automation. It is the easiest to implement and delivers quick wins.
Cognitive insight requires high-quality data and skilled analysts. Invest in data before investing in AI.
Cognitive engagement is difficult. Start with narrow, well-defined use cases.
Build organizational capabilities, not just projects. AI success requires more than technology.
"The AI Advantage" is a strong fit if you want practical ideas around artificial intelligence, business, technology, especially themes like ai creates value when applied to specific business problems, not when adopted for its own sake; the three categories of ai are process automation, cognitive insight, and cognitive engagement. The MinuteRead summary distills these concepts into a focused read, whether you're deciding whether to buy the book or applying its lessons at work.
Motivated to help readers with i certainly agree that some of this excitement is warranted, Thomas H. Davenport wrote “The AI Advantage” to package those ideas for a fast, focused read. In “The AI Advantage”, Thomas H. Davenport focuses on i certainly agree that some of this excitement is warranted. Through “The AI Advantage”, Thomas H. Davenport distills the core ideas on artificial intelligence into lessons readers can absorb in a single short sitting. Readers turn to this work when they want …
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