The AI-Powered Enterprise

The AI-Powered Enterprise

Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable

Seth Earley, Tom Davenport

$27.99

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Description

Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business.

The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future?

When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing.

AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise.

Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.


Author

Seth Earley:

Seth Earley is CEO of Earley Information Science (EIS), a leading consulting firm focused on organizing information for business impact, with expertise in knowledge strategy, data and information architecture, search-based applications, and information findability solutions. Earley is contributing editor of Data Analytics for IEEE’s IT Professional magazine. IEEE is the world’s largest technical professional organization, with more than 400,000 members, and IT Professional is one of its flagship publications. He lives in Carlisle, Massachusetts.

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