AI: Overhyped and Misunderstood? Chapter 1

AI: Overhyped and Misunderstood? Chapter 1

A Data Scientist Answers the Questions You’re Afraid to Ask

In this five-part series from Dstillery, their AI, Machine Learning and Data Science experts will help marketers and market researchers demystify these emerging trends and offer ideas for taking action.

In 2018, it’s not enough to be a data-driven company. Forrester recently identified a new kind of business growing at more than 30% each year. Insights-driven businesses go beyond making isolated decisions with data by integrating insights into every process. This begs the question: How can your organization do the same?

In our opinion, Artificial Intelligence will become the primary tool to drive competitive advantage. This buzzword has hit peak saturation, so we decided to break it down in order to help you break through the noise and focus on what matters.

Before diving into the more advanced ideas, there are a few core concepts to understand: AI, Machine Learning, and Data Science. Melinda Han Williams, VP of Data Science and Analytics, will explain how these foundational concepts work together and how they will impact the market research industry.

What Is AI?

AI is a field of computer science that aims to develop machines that act “intelligently,” that is, machines that can make highly informed decisions autonomously. This concept has been around since the 1950s in academic circles. These days, we often hear about AI designed to replicate human behavior, like self-driving cars or computers that play chess. Pop culture regularly reinforces this characterization. Science fiction, for instance, has imagined AI in the form of humanoid robots that become self aware and eventually turn on their creators, like those depicted in Westworld or Terminator.

Continue reading the full chapter on Greenbook