News stories are created by computer programs in automated journalism, also known as algorithmic journalism or robot journalism. Stories are generated automatically by computers rather than by human reporters thanks to artificial intelligence (AI) technologies. These programs analyze, organize, and present data in a form that is understandable to humans. Typically, an algorithm examines huge quantities of given data, chooses from a variety of pre-programmed article formats, organizes important points, and inserts information like names, places, amounts, rankings, statistics, and other numbers. The output may be tailored to a specific voice, tone, or style.

These days almost every journalism conference has at least one session on the role of Artificial Intelligence (AI) in modern journalism and, interesting, it is always been asked: "will AI replace journalists and writers?". Last week I had an opportunity to visit the technology center of America's top news agency in Washington. There were using many tools and techniques to generate quick, accurate and foolproof contents using Artificial Intelligence (AI). These tools had multiple layers of data-centric AI wrappers to ensure the filtration of Fake News. During my visit, I was able to produce 550 words article, based on a press release, with a single click and amazingly this article had many relevant references from the past.

Artificial Intelligence (AI) is gathering pace as one of the biggest ICT trends of our time – and the topic of "robot journalism" provides important insight on how AI is being applied to industry. How is natural language generation (NLG) being used to explain big data in narrative form that broader audiences can easily understand? What insights are being found by machines producing 2,000 articles per second? How are some of the world's biggest media agencies currently using vendors that provide these solutions to build their reach, engagement, and businesses? Will "robots" (or automated content) soon render journalists obsolete?