Blog

“One of the most quickly growing businesses is media and entertainment. Technology is critical to transforming this business and connecting it to its end customers. The technology you use within your company has a huge impact on the customer experience. With an ever-increasing number of customers, this industry is setting new market trends.”

Traditional organizational structures are no longer relevant in today's environment. To deal with its expanding number of audiences, this business now requires a more cutting-edge, innovative solution.

Applications of IT solutions in the media & entertainment industry

The way content is distributed in the worldwide media and entertainment sector is rapidly changing. Content creation equipment such as high-resolution cameras, material creation software, and cellphones are becoming more widely available, allowing almost anybody to create, publish, and share wrote, audio, and video content.

The expansion of the internet has exacerbated this trend, resulting in the replacement of traditional media channels like cable and radio with on-demand streaming platforms such as Netflix and YouTube. As a result, consumers may have an almost infinite number of possibilities for media consumption.

As a result, media organizations are faced with the necessity to increase both the quantity and quality of the material they produce in order to attract as many customers as possible and drive higher value. Media businesses are using innovative technology like AI to assist them to reach this goal.

In the media and entertainment business, artificial intelligence is assisting media companies in improving their services and improving the client experience. Here are a few examples of how AI is altering the media and entertainment industries:

Metadata tagging:

With many pieces of information being created every minute, media firm staff have a monumental task in identifying these items and making them easy to find for consumers. This is due to the fact that this procedure necessitates watching films and identifying items, situations, or locations in order to classify and tag them.

Media providers and distributors, such as CBS Interactive, are utilizing AI-based video intelligence technologies to evaluate the contents of films frame by frame and detect items to add suitable tags.

Content personalization:

Spotify and Netflix, two of the most popular music and video streaming services, are successful because they cater to a wide range of demographics with varying likes and preferences.

These companies utilize AI and machine learning algorithms to analyze individual user behavior and demographics in order to recommend what they might be most interested in viewing or listening to next, ensuring that they are always entertained. As a result, these AI-powered platforms provide users with material tailored to their individual preferences, resulting in a highly personalized experience.

Reporting automation:

AI is assisting media companies in making strategic decisions in addition to automating day-to-day or minute-by-minute operations. Leading media and broadcasting businesses, for example, are creating channel performance reports from raw analytics data supplied by BARC utilizing machine learning and natural language production.

Business executives may develop performance reports with easy-to-understand language remarks utilizing AI-enabled data analysis and natural language generation-based reporting automation tools, giving them accurate insights to make informed data-driven decisions.

Subtitle generation:

International media publishing firms must adapt their material so that it may be consumed by audiences from various countries. They must provide appropriate multilingual subtitles for their video content in order to do so. Human translators may spend hundreds or even thousands of hours manually producing subtitles for many series and movies in dozens of languages.

Furthermore, finding the necessary human resources to translate information for specific languages may be problematic. Human translation, on the other hand, can be prone to inaccuracies. To address these issues, media companies are turning to AI-based solutions such as natural language processing and creation.

YouTube's AI, for example, enables publishers to generate closed captions for videos submitted to the platform, making their material more accessible.

Reimagining viewer and audience experiences in the post-pandemic era

The media and entertainment industries are experiencing unprecedented levels of turmoil, which has been exacerbated by recent unforeseeable events. Traditional linear and print business strategies are experiencing revenue and profitability issues.

The sector is likewise altering gears, rapidly transitioning to digital business models. Consumers are increasingly watching content online, playing games online, and virtually attending events. With constantly changing customer behavior, it is expected that the entire supply chain, from content creation to delivery to consumption, would adapt more quickly.

Major Market Highlights:

• To improve client engagement and increase cloud signings, IBM teamed with its IT services peers and integrated global business and technology services capabilities. IBM teamed up with Infosys to help clients with their digital transformations using IBM's public cloud capabilities. Atos and IBM have announced the expansion of strategic worldwide cooperation to assist businesses with digital transformation and process optimization. Atos and IBM plan to collaborate to solve business problems in the Manufacturing, Energy, and Utilities, Oil and Gas, Retail, and Transportation industries.
• Asset Lifecycle Management Solutions, Asset Monitoring and Maintenance, Repair, and Operations (MRO) Optimization, Packaging, Transportation, and Logistics Optimization Solutions, and SMART Waste/Energy Monitoring and Optimization Solutions are just a few of the areas of concentration.
• Fujitsu has announced the formation of a new firm, the "Fujitsu Future Studies Center" (FFSC), a think tank that would help the corporation formulate and execute its strategies. On June 1st, it will begin operations.
• The Corona Warn App was launched by SAP for the German government. The Corona warning app, commissioned by the German government, is one of the first European apps to use Apple and Google's current Exposure Notification Framework criteria.
• Hitachi has announced an agreement to provide AI and data analytics services with Fusionex, an Asian big data, and AI technology business. Hitachi will be able to incorporate Fusionex's AI-enabled data analytics products, services, and subscription-based Software as a Service (SaaS) business expertise into Lumada as part of the agreement, which will help to strengthen the SaaS business by reducing user-specific development, customization, and delivery.
• Microsoft has made the Desktop Analytics product generally available. The cloud-connected service connects with System Center Configuration Manager, which enables IT, professionals, to control Windows endpoints based on data.

Conclusion

The role of AI in entertainment is only likely to grow in the future years, as competition and the need for efficiency continue to rise in the business. Media and entertainment organizations are maximizing their business performance by enhancing the user experience and entertainment value supplied with more efficiency by studying and experimenting with the above and additional AI use cases.