Protecting Consumer Privacy: AI can protect customer data through its ability to monitor network behavior and flag anomalies 24/7. Additionally, AI can accelerate the process of data identification to improve customer data privacy. Eliminating Biases: Because both conscious and unconscious biases are programmed into the data that an AI application is built upon, AI applications can become biased themselves. Fortunately, AI can actively mitigate the underlying biases of the models and systems deployed. Eliminating Mundane Tasks: Self-service AI-based HR portals enable employees to do for themselves what used to involve HR staff.

The term "artificial intelligence" was coined in 1956 by John McCarthy, one of the founders of the field. He defined it as "the science and engineering of making intelligent machines, especially intelligent computer programs." In practical terms, AI involves using computers to learn from data, recognize patterns, and make decisions. The goal is to create systems that can solve problems or otherwise improve human endeavors. AI has been used for decades in a wide range of applications, from personal assistants and medical diagnosis to stock trading and military operations.

It's no surprise that artificial intelligence is a significant topic of conversation these days. Affirming tremendous cost and time savings, businesses from almost every industry are keen to see how they can leverage AI to enhance their operations and gain a competitive edge. While many companies have already implemented some forms of AI, some are still expecting significant barriers to adoption. The truth is, regardless of all the hype around AI, many are still unsure of how to implement and leverage AI. Nowadays, with AI-focused solutions ranging from plug-and-play to fully customized, it's easier for businesses of all sizes to get started with AI. For marketing professionals, a key area where artificial intelligence is impactful is in content marketing.

The field of artificial intelligence has grown leaps and bounds since Logic Theorist, the first program to mimic human problem-solving skills, was built in 1955 by Herbert Simon, Allen Newell, and John Shaw. Not even a century after its unveiling at the 1956 Dartmouth Summer Research Project on Artificial Intelligence conference--where the term "artificial intelligence" was coined--AI-powered computers are already writing sci-fi screenplays from scratch and "robot journalists" are creating content in record time for the Associated Press. AI and content are a winning combination for any modern marketing department that needs to crank up the quantity of their content without sacrificing its quality. Keep reading to learn more about the practical applications of AI for content marketing and how to get it right. Artificial intelligence, or AI, refers to the capability of a machine to mimic human cognitive activities.

Anything that changes the way that people use social media is going to change social media marketing. Based on that fact alone, it only makes sense that AI is going to have a big impact on online marketing. Keep reading to learn more. More and more often, consumers are interacting with brands via messenger apps. They may do this through Facebook messenger, apps such as WhatsApp, or even proprietary messengers that brands offer via their own apps or websites.

Using AI And Machine Learning To Personalize Content Creating original branded content solves many problems for marketers, but also presents challenges - among them distribution and realizing ROI from what can be a costly investment. Time Inc., CBS and Telepictures are among hundreds of publishers working with IRIS.TV, which recently introduced a product to manage the distribution of branded content. Creating original branded content solves many problems for marketers, but also presents challenges - among them distribution and realizing ROI from what can be a costly investment. Time Inc., CBS and Telepictures are among hundreds of publishers working with IRIS.TV, which recently introduced a product to manage the distribution of branded content.

E-Spirit has added an artificial intelligence-powered personalization content engine into its FirstSpirit Digital Experience Hub. The Dortmund, Germany-based web content management provider is calling it the FirstSpirit Intelligent Content Engine. FirstSpirit is the company's web content management system that enables its Digital Experience Hub. Michael Gerard, chief marketing officer for e-Spirit, told CMSWire in an interview this week the Intelligent Content Engine helps complete the company's digital experience offering with personalization. He called it a "major component" that supports the expansion of channels used by customers by helping marketers analyze internal and external data coupled with behavioral data.

In spring 2015 I launched an internal initiative named Project Copyscale to determine whether it was possible to automate content creation with artificial intelligence. Specifically, I wanted to figure out, could we use machines to write blog posts at scale? The idea was inspired by a SXSW session I attended that year featuring the managing editor of the Associated Press and the CEO of Automated Insights, a company that uses a form of artificial intelligence called natural-language generation (NLG) to create content. The presenters shared how the AP went from publishing 300 earnings reports per quarter written by humans to 3,000 per quarter written 100% by machines using Automated Insights technology. The implications to content marketing, in my mind, were immense.

The following post was first published in an earlier edition of Marketing Insider: Cross-Channel. Creating original branded content solves many problems for marketers, but also presents challenges -- among them distribution and realizing ROI from what can be a costly investment. Time Inc., CBS and Telepictures are among hundreds of publishers working with IRIS.TV, which recently introduced a product to manage the distribution of branded content. Its video personalization solution uses artificial intelligence and machine learning technology so publishers can automate the programming of their video libraries for the individual based on that person's preferences and behavior. We spoke with Rohan Castelino, director of business development and marketing with IRIS.TV, about how this works.

Creating original branded content solves many problems for marketers, but also presents challenges -- among them distribution and realizing ROI from what can be a costly investment. Time Inc., CBS and Telepictures are among hundreds of publishers working with IRIS.TV, which recently introduced a product to manage the distribution of branded content. Its video personalization solution uses artificial intelligence and machine learning technology so publishers can automate the programming of their video libraries for the individual based on that person's preferences and behavior. We spoke with Rohan Castelino, director of business development and marketing with IRIS.TV, about how this works. While brands are increasingly looking to partner to create content to engage Millennials, how can publishers deliver guaranteed audiences to watch this content at scale while maintaining their editorial standards and trust with audiences?