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Artificial Intelligence for Business: A Roadmap for Getting Started with AI
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From the Inside Flap
We have reached a critical mass in the development of artificial intelligence. Thanks to products and services offered by the cloud, AI is now accessible even to smaller organizations or those with smaller budgets. And consumers are comfortable interacting with AI on a daily basis--think Apple's Siri, Netflix recommendations, and realtime GPS routing. With these two shifts, we see an elimination of the barriers to entry that once prevented many organizations from getting started with AI. Today, businesses know that AI is within their reach, and they know that their competitors, or disruptive startups, are working to leverage this new technology. AI is no longer an optional proposition.
We all need to think about implementing AI to stay competitive, but where do we start? Until now, there was no proven, step-by-step process to help businesses begin cutting costs and innovating using AI technology. In Artificial Intelligence for Business, Jeffrey L. Coveyduc and Jason L. Anderson provide just such a roadmap. This much-needed guide walks readers through the process of adopting AI technology, starting with identifying the opportunities most suited to AI solutions and leading all the way through deploying AI and iterating AI models for continuous improvement.
AI is inherently interdisciplinary, and, accordingly, this book takes an interdisciplinary approach. From a business perspective, leaders must understand that their most valuable resource is data. Locating (or, if necessary, creating), managing, and leveraging data resources is the name of the AI game. From a software development perspective, AI programming is very different from traditional application coding. If organizations and dev teams fail to understand the unique requirements of AI, their chances for success decrease. Readers will gain insight into each facet of AI and learn how to make them all work together for tangible value and innovation.
JEFFREY L. COVEYDUC is Vice President and Master Inventor at IBM. His diverse background consists of positions that encompass the creation of innovative, technologically advanced global AI solutions and client adoption.
JASON L. ANDERSON is a Partner and CTO with the data consultancy, Comp Three, where he established a new AI line of business. He is also a former IBM Cognitive Architect and Master Inventor. He received both BS and MS degrees in Computer Science from California Polytechnic State University, SLO.
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