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by Jason L. Anderson (Author), Jeffrey L. Coveyduc (Author)
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.
Front Jacket
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.
Back Jacket
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.
Author Biography
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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