Rich AI, Poor AI: Use Cases, Practical Examples, and Proven Methods on How to Use (and How Not to Use) Artificial Intelligence Systems for Data Analysis

In his book Instructions for Becoming Unhappy, philosopher Paul Watzlawick explains how people tend to unconsciously engage in self-sabotaging behaviors that lead them to unhappiness. Similarly, today it is equally easy for marketers and web professionals to use AI in data analysis activities unconsciously or indiscriminately, with harmful consequences for their business and clients. In this talk, I will show objectives, practical uses, and methods to safely and effectively leverage Artificial Intelligence systems in specific Digital Analytics activities serving marketing and advertising. From data enrichment to gain more complete information about website or ecommerce audiences, to correlating different data sets to launch better online campaigns, to optimizing tables, reports, and dashboards to extract new audience segments and prepare more profitable offers and marketing campaigns, and more.