The AI-Powered Enterprise
Book

The AI-Powered Enterprise

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

Seth Earley
Life Tree Media, 2020
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9

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  • Well Structured
  • Engaging
  • Inspiring

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Artificial intelligence (AI) can quickly disseminate reliable information to your salespeople, enable remote repair work on machinery and even allow editors to customize newsletters to thousands of subscribers. Yet many businesses lack the organizational data infrastructure to make AI effective. Ontologies provide the necessary links among separate and distinct systems within an organization to enable enterprisewide communication. In this book, information science expert Seth Earley discusses how ontologies will help you capitalize on the advantages AI offers and be a leader in your industry.

Summary

Organizations that integrate artificial intelligence (AI) into their core business operations thrive in today’s competitive digital world.

Most companies’ current technology resources function in independent systems, with incompatible structures that make it difficult to coordinate cross-functional workflows. Employees and customers struggle to find the information they need. Data flow is the lifeblood of any modern organization. Siloed systems inhibit the flow of information and impede a business’s ability to perform.

Today’s customer experience spans the full range of the organization’s system data. For example, an online comparison of product pricing accesses sales, marketing and finance systems. Independent systems, out-of-date content and conflicting information from one system to the next all lead to an inconsistent customer experience. For companies to truly reap the benefits of AI, leaders across the organization must commit to organizing companywide data into a systematic data structure. This structure must allow data to flow across all systems, and let the organization adapt to the dynamic business environment...

About the Author

Seth Earley is CEO of the consulting firm Earley Information Science, where he guides organizations on how to best leverage their data and knowledge through integrated enterprise architectures. 

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