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Artificial Intelligence for Business: A Roadmap for Getting Started with AI
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About Artificial Intelligence For Business: A Roadmap For
Product Description Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization. From the Inside Flap A PROVEN PROCESS FOR TRANSFORMING YOUR ORGANIZATION WITH AI TECHNOLOGY The AI adoption journey is long, but the potential rewards are great. Many leaders have the drive and enthusiasm needed to get started with AI but no clear picture of how the process will unfold. Artificial Intelligence for Business minimizes the risk involved in making the transition to AI, both by providing concrete action steps and by identifying the most common pitfalls and how to avoid them. Such guidance could be the key to ensuring a profitable foray into the world of AI. Inside, you'll learn how to: Identify opportunities to reduce costs and capture market share using AI Locate the data you need to train AI models, and manage data assets professionally Create a functional AI prototype to limit risk and demonstrate the AI value proposition Confidently deploy and iterate your AI solutions in production Establish AI maturity using model libraries to capture profits and improve over time This book is perfect for business leaders who want a high-level roadmap showing the way to proven success in the world of AI. From the Back Cover A PROVEN PROCESS FOR TRANSFORMING YOUR ORGANIZATION WITH AI TECHNOLOGY The AI adoption journey is long, but the potential rewards are great. Many leaders have the drive and enthusiasm needed to get started with AI but no clear picture of how the process will unfold. Artificial Intelligence for Business minimizes the risk involved in making the transition to AI, both by providing concrete action steps and by identifying the most common pitfalls and how to avoid them. Such guidance could be the key to ensuring a profitable foray into the world of AI. Inside, you'll learn how to: Identify opportunities to reduce costs and capture market share using AI Locate the data you need to train AI models, and manage data assets professionally Create a functional AI prototype to limit risk and demonstrate the AI value proposition Confidently deploy and iterate your AI solutions in production Establish AI maturity using model libraries to capture profits and improve over time This book is perfect for business leaders who want a high-level roadmap showing the way to proven success in the world of AI. About the Author 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.
