Application of Artificial Intelligence in the Media Industry

Application of Artificial Intelligence in the Media Industry
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Executive summary
Artificial Intelligence (AI) has had immense impacts in almost every industry. For that reason, AI is regarded as being omnipresent because it can be implemented to boost the potentials and capabilities of every sphere of the world. This paper will examine the application of Artificial Intelligence in the media industry. Specifically, the paper will evaluate how AI has been put in place in areas such as data analysis, content personalization search, and classification, innovation stimulation, automation of tasks, discovering clues to news and marketing and advertisements. Additionally, the paper will examine some of the negative and positive implications of AI on organization management.
Introduction
Artificial intelligence (AI) is an area in computer science that specializes in the creation of intelligent machines that think, react and work like the humans and mimic the way a person reacts. The ideal feature of (AI) is its potential to rationalize and implement actions that have the best chance of attaining a specified goal. The media and entertainment industry is a diverse sector that is comprised of multiple segments which include television, film, and media streamed online. Over the last few years, the landscape of the media industry has greatly changed. From the creative process behind the scenes to content delivery and audience engagements, AI is having a profound effect on the industry.
It is also important to note that previously, AI was mainly focused on advertising and improving the experiences of the media consumers. As a result of technological advancements, AI has managed to control and enhance these applications and many others. The main question to answer in this paper is how IA has impacted the media industry? This paper will examine and explain the different areas in the media industry where AI has been successfully applied.
Data Analysis
Data analysis is a major constituent of data mining which is essential in gaining insights that drive business decisions. Ordinarily, enterprises, organizations, and companies will analyze data from several sources using big data management and customer experience management solutions which turns data into usable and useful insights. In the media industry, data may exist in the form of text, audio, and video (Kambhampaty, 2018). Data analytics studies focus on two key factors which are the content and the audience. By statistically comparing the design parameters of the content platforms, analytics can manage to predict the kind of content that is likely to engage well with the consumers. Likewise, by exploring and evaluating data about the time spent and page exit rates using variables such as story types, pictures, and video editors and designers may understand how to get visitors to stay longer on a site by providing them with contents that match their interests.
The main objectives why data analysis is used in businesses and enterprises is to understand and comprehend the requirements and the needs of the consumers and therefore, to provide them with the content that matches their wants....