The AI-Powered Enterprise
Publisher,INGRAM PUBLISHER
Publication Date,
Format, Hardcover
Weight, 420 g
No. of Pages,
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.
This book explains what ontologies are-super-taxonomies that capture and organise every piece of information that matters to the business-and why they are the key to making AI truly intelligent. It also teaches how to create an ontology for your organisation. Solid information architecture is the key to successful AI deployment: There's a saying in computer science: 'garbage in, garbage out'. In the context of this book, this means that your AI initiatives can only succeed if they are fed with right data that is organised in the right way. This crucial step is frequently underestimated and mismanaged by executives, and their poor knowledge management is the main reason why so many AI initiatives fail.