What does artificial intelligence look like? Thanks to a host of sci-fi movies, many associate AI with vengeful computer systems or robots that act almost human. When it comes to AI in the Communications industry, however, most applications look more like analytics than androids. Our eBook, “The Rise of AI and How it Will Impact Communications Professionals,” takes an in-depth look at AI and its potential uses across the Media and Communications field.

What does Artificial Intelligence Encompass?

The dictionary defines AI as “the capability of a machine to imitate intelligent human behavior.” News coverage tends to focus on the most advanced forms of artificial intelligence simulations—from the battle between human trivia champions and a computer (the computer won) to the recently debuted Chinese AI news anchor capable of delivering round-the-clock news coverage (without wrinkling his tailored suit).  

But day-to-day, artificial intelligence powers a wide variety of applications that are far removed from such high-profile simulations of intelligent behavior. Rather AI is a critical component in everyday conveniences like speech recognition that enables chatbots and virtual assistants. In fact, artificial intelligence aids in numerous tasks that typically require human intelligence, such as visual perception, translation, and decision making.

Artificial Intelligence in the Communications Industry

In “The Rise of AI and How it Will Impact Communications,” you can read more about artificial intelligence and its potential, including:

  • What distinguishes 2 types of artificial intelligence
  • Which 3 common AI applications already deliver value across the industry
  • How 5 disciplines can take advantage of AI to drive insight and innovation

Fueling Artificial Intelligence with Better Data

AI—in any form—is only as good as the data that powers it. As the saying goes, “Garbage in, garbage out.” In order to gain measurable, actionable insights from AI applications, organizations need relevant, normalized data, something that is not always available within internal datasets.  Increasingly, organizations turn to Data as a Service providers like LexisNexis to complement existing data with targeted datasets. For example, the Nexis® Metabase News API allows Media and Communications organizations to deliver near real-time, global news and social commentary into predictive analytics engines to quickly identify emerging trends, evaluate brand strength and more. What do you want to uncover?

Fill out the form at the right to access our Media Intelligence eBook, “The Rise of AI and How It Will Impact Communications Professionals.”