AI in Media: Reducing Operational Costs and Enhancing Revenue

Media Entertainment Tech Outlook | Tuesday, July 30, 2019

Artificial Intelligence (AI) is progressively serving as a key driving richer and vibrant media and entertainment experiences— from video games to films, and more to come.

FREMONT, CA: The Media and Entertainment (M&E) sector is a pillar of modern society, providing movies, television shows, advertising, and more across a variety of devices in a multitude of languages. AI is radically converting media in combination with other types of internet and device tracking software instruments using techniques such as targeted/ location-based ads; predictive analytics and NLP products add to it. Sources say that by 2021, the U.S. E&M sector is expected to achieve an income of $759 billion, rising at a 3.6 percent compound annual growth rate.

Personalization of the User Experience

Leaders and emerging competitors in the on-demand entertainment space use machine learning to maintain their capacity to tailor content to each client's scale. Now that customization is becoming a standard expectation of customers, AI is set to be an essential approach to keep pace with customer demand. Companies concentrated on user experience customization appear to bring value to their customers in the entertainment space on demand.

Experience Innovation

In the past, the primary medium for words and pictures was documents and books. Film and television introduction introduced the world to the vibrant fresh globe of moving images. AI now heralds a new age of immersive visual content experience. Virtual Reality (VR) and Augmented Reality (AR) are part of this technology. Developers can create complicated and holographic scenes within a couple of goggles with machine learning algorithms and computer vision techniques. This is opening up a brand new market.

Marketing and Advertising

Visual design, film promotion, and advertising are part of the marketing and advertising industry. Trained with data such as text, images, and video sections, a machine learning algorithm can extract vocabulary, objects, and ideas from its training resources and propose marketing and advertising alternatives to enhance effectiveness. Such a system can function as a creator of content.

However, the film industry wants technologies that decrease the time and cost of production. Therefore, in the coming years, we can anticipate feedback on which of these apps can be most helpful. These data can substantiate the importance that AI can bring to the production process with various capabilities.