ABSTRACT
This chapter moves into the basics needed for understanding Artificial Intelligence (AI), data science and the full analytics landscape. It addresses building a successful AI, data science and analytics program. There are many practicing camps, educational philosophies, and professional organizations that have developed their own languages around the same topics. There are issues that exist within organizations that cause problems in making analytics programs successful. Two of the major areas are people and processes. Or, put another way, culture, and organization structure. Weakness in these two areas cause what it call symptoms. Some of these symptoms are: Lack of Adaptability; Isolation / Disconnects and Alignment; Gaps in Education or Knowledge and Motivation / Incentives. Scale is about being able to grow and manage that growth successfully. One benefit of careful planning of analytics programs and technology is the ability to scale elastically.
