Publisher's Synopsis
Artificial Intelligence (AI) has gained tremendous fame and attention during the past 5 years; there are plenty of books, conferences and online resources, and it has become overwhelming and difficult to separate the hype from practical insights.On one side, the math behind AI can be hard to follow; on the other, the hysteria claims that AI can flip presidential elections and feed other conspiracy theories.This book presents the key insights that make AI/ML useful for marketing and demystifies the core technology and illustrates case studies where my team applied the technology.This book is for marketers and executives that want to gain insights about the use and applicability of AI in marketing and I present a simple yet non-trivial explanation of the core principles of AI.I started using machine learning (ML) models at scale in 2012 and have continued doing so. We have used ML models to help the analysis of experiments, identify cross sell opportunities, design attrition prevention initiatives and many other interesting applications.As you have noted, I am not making a distinction between AI and ML, I even include many other iterative algorithms under the umbrella of AI. The book is not a description of state-of-the-art AI, it is an end user's guide to understand its potential.I will refer to my experience during my work in the marketing analytics groups of Facebook and Uber Technologies from the years 2013 to 2019 (present).
