The AI ladder demystifying AI challenges

AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far adoption has been much slower than anticipated. With this practical report, business leaders will discover where they are in their AI journey and learn...

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Detalles Bibliográficos
Otros Autores: Thomas, Rob (Information technology executive), author (author), O'Reilly, Tim, writer of foreword (writer of foreword)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media [2019]
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630772906719
Descripción
Sumario:AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far adoption has been much slower than anticipated. With this practical report, business leaders will discover where they are in their AI journey and learn the steps they still need to take to implement an AI solution in their organization. Author Rob Thomas, Senior Vice President of IBM Cloud and Data Platform at IBM, introduces C-suite executives and line-of-business professionals to the AI Ladder—a unified, prescriptive approach to help them accelerate their AI journey, no matter where they are in the process. This succinct report explores AI’s drivers, value, and opportunity, as well as the adoption challenges organizations now face. Learn why you can’t have AI without IA (information architecture) Unify data within a multicloud environment to unlock its value Make data accessible by collecting every type, regardless of where it lives Create a business-ready analytics foundation with built-in governance, protection, and compliance Benefit from AI models by learning smarter ways to analyze data Operationalize AI across multiple departments and within various processes
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9781492073130