Enterprise Artificial Intelligence Transformation - Hardcover

Über die Autorin bzw. den Autor

RASHED HAQ is an AI and robotics technologist. He was recently appointed as the Vice President of Robotics at Cruise, one of the leading autonomous vehicle companies. He was previously the Global Head of AI & Data and Group Vice President at Publicis Sapient. He has spent over 20 years helping companies transform and create sustained competitive advantage through technology and data. Rashed holds advanced degrees in theoretical physics and mathematics. An accomplished author and sought-after speaker, Rashed frequently writes about the practical uses of AI in business.

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PRAISE FOR ENTERPRISE ARTIFICIAL INTELLIGENCE TRANSFORMATION

"Given the breadth of opportunities and the importance of a balanced approach to your organization's AI journey, this book provides a critical reference for business leaders on how to think about your company's as well as your personal AI plan."
Steve Guggenheimer, CVP for Artificial Intelligence, Microsoft

"This book is an excellent and much needed guide for leaders transforming their organizations towards an algorithmic enterprise."
Hussein Mehanna, Head of Artificial Intelligence, Cruise

"Artificial intelligence is more than the mere use of machine learning algorithms, and its successful implementation is equally about building a practical solution that fits into the ecosystem and culture of its end-users. This insightful book explains how to do it without the hot air."
Aldo Faisal, Professor of Artificial Intelligence, Imperial College London

ACHIEVE, MAINTAIN, AND GROW SUCCESSFUL AND COST-EFFECTIVE AI AT SCALE

Enterprise Artificial Intelligence Transformation is a unique framework for making revolutionary changes to the way your organization works. Artificial intelligence is poised to transform business and, thereby, humanity. We are on the verge of creating algorithmic enterprises capable of leveraging AI to improve business decisions, streamline processes, and develop new product lines. With this new technology at our fingertips, we can create business insights from data that would have been impossible in the pre-AI era.

Large organizations are ready to implement enterprise-wide AI strategies, but for established firms there are significant hurdles to doing so. From change management and culture issues to technical and human resource challenges, AI presents a major organizational upheaval. To help you overcome these hurdles and put in place a solid, scalable AI capability, Enterprise Artificial Intelligence Transformation offers a roadmap to understanding and seizing upon the opportunities that AI is opening up.

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BY NOW, WE HAVE

seen enough evidence and heard enough success stories to know that artificial intelligence is potentially game changing, especially at scale. Large enterprises have the opportunity to create new lines of revenue, generate deep business insights, streamline the delivery of products and services, and free up considerable manpower. The cost benefit equation clearly points the way to an AI-driven future. So how can more companies really take advantage of this new technology? Enterprise Artificial Intelligence Transformation contains the answer.

Author Rashed Haq has two decades of experience transforming large businesses through technology. Over the course of his career, he has seen firsthand the obstacles that lead to stagnant operating models, even when adopting new technology is the clear best choice. A major roadblock is presented by the technology itself. Of all the complex AI solution options available, what is the optimal architecture that should be assembled that will be best suited to a particular organization, and how can we hire and retain people who know how to (safely) implement them? Change management is another huge hurdle how can we generate buy-in, not only for the initial investment in AI, but for the iterative processes required to sustain a functioning AI capability over time? (And what are those processes, anyway?)

Enterprise Artificial Intelligence Transformation is a one-of-a-kind book that delves into both the business and technical aspects of AI business transformation. We have the data available, we see that society is heading in the direction of AI and machine learning, and we can envision ourselves as the algorithmic, data-driven market leaders of the future. What we have been missing up to now is a clear guide to understanding the issues involved in actually taking that step, making the transition to large-scale artificially intelligent operation. This is that guide.