When it comes to technology, the entertainment sector has always been on the cutting edge, continuously pushing the envelope. The industry is about to undergo a significant change, especially because of the rapid growth of artificial intelligence (AI), particularly in the film sector. The use of artificial intelligence (AI) technology to create films from beginning to end is one of the most intriguing advancements.
We are on the verge of digital transformation and live in an era of the Fourth Industrial Revolution (a way of blurring the boundaries between the digital, physical, and biological worlds). With the fusion of technological advances in AI, ML (machine learning), robotics, Web3, the Internet of Things (IoT), 3D printing, blockchain, quantum computing, genetic engineering, and more, the Fourth Industrial Revolution and digital transition have become a reality. AI and ML technologies soon started having a powerful grip on the media and entertainment industry.
Artificial intelligence plays a significant role in boosting marketing efficiency, personalization, and workflow automation in the media and entertainment space. Media houses leverage the power of artificial intelligence and machine learning to streamline their advertising activities in diverse arenas to increase workflow efficiency and revenue and reduce operational costs.
The role of AI in the entertainment business is manifold, and its influence is felt in multiple spaces, including -
Media houses leverage the power of AI and ML to streamline their activities on diverse fronts, including the following -
Now that we know the power of artificial intelligence in the entertainment industry, we will discuss how it is transforming this sector by driving innovations and delivering premium audience engagement.
It is quite stressful for viewers to find the perfect 2-hour watch from millions of films and songs. Therefore, AI can help in shortlisting the best movies. Rather than spending hours shortlisting and researching the best binge watches and film recommendations manually, you can use AI-powered software to offer Hyper-personalisation.
These AI tools can collect, prioritize, and curate content and recommendations based on the viewer’s precious watch histories and genre preferences. After gathering this entertainment industry data, the software will create specific datasets for the user, and from here, the platform’s algorithm can get the best match for movies and songs according to the viewer’s liking. Some popular examples of content personalization include aligning the customer’s interest with the following -
We have already seen how Netflix, Amazon Prime Video, Spotify, etc., do this regularly. We receive customized movie preferences and song suggestions, which help media and entertainment companies enhance customer retention. Moreover, as the world has started adopting OTT streaming platforms, the audience is willing to pay premium prices to receive personalized content and recommendations, making this model a success.
Virtual Reality and Augmented Reality are meaningless without artificial intelligence. VR and AR offer immersive experiences to users, taking entertainment and gaming to the next level. This immersive technology enables the audience to reach new environments by going beyond the 2-dimensional spaces.
Augmented Reality is mainly beneficial in sports events. However, its applications are also extended to presentations and museums, providing real-time information to viewers about the surrounding circumstances and objects.
On the other hand, Virtual Reality enables users to enter a completely different universe or their chosen reality. It is more popular with Meta, and more research and implementation are ongoing among media companies like Facebook, who are investing valuable resources into it already.
Artificial intelligence can boost search engine optimizations (SEO) as AI tools and databases have access to huge chunks of data sets. Since customers’ preferences and market demands are constantly changing, media companies need an automated and personalized approach toward advertising and SEO strategies.
Businesses need to stay updated with real-time market data to offer relevant messages. Therefore, AI in advertising helps companies craft targeted ad campaigns. Using deep learning techniques, AI tools can help media houses focus on the users’ specific preferences rather than basing their marketing decisions on assumptions.
The entertainment industry is continuously working toward improving the viewers’ streaming quality. Providing premium content is necessary to retain viewers in today’s highly competitive market.
Therefore, Netflix and other streaming services use machine learning techniques to upgrade their front-end and back-end operations. It also improves the user interface for high-quality viewing and streaming experiences. Netflix’s top-notch viewing and streaming quality answers why it has such a wide audience base.
Cybersecurity in the entertainment sector is vital, like any other industry. As the industry continues to expand, cyber-attacks and fraudulent activities have also increased. Hackers and attackers are installing multiple malware, leading to a high number of ransomware cases.
AI can automatically detect malware/ransomware and suspicious IP addresses faster. Artificial intelligence can also identify hacking patterns from cyber-attack alerts, which helps detect phishing activities and other dangerous hacking techniques. In the future, AI can help media companies prevent such hacks and cyber-attacks.
AI is a game-changer for the media and entertainment industry. Being a highly creative sector, the entertainment space needs to keep up with the trends and deliver more relevant and personalized content. Here is what lies ahead for the motion picture industry.
To conclude, AI technology has become a part and parcel of our daily lives, so much so that we hardly realize its vast potential. Today, diverse industries, like healthcare, education, eCommerce, recruitment, quality assurance, cybersecurity, etc., are reaping the advantages of artificial intelligence and other technologies. More such innovations and technologies are in store for the media and entertainment industry in the future.