Know How AI in the Entertainment Industry is Becoming an Inseparable Existence
Just a decade ago, AI used to exist within Sci-fi movies only. But now, every alternative city home consists of at least one AI device- a smart AC or just a smart light and even our smartphones are now equipped with AI cameras.
In fact, the HD graphics and motion of the latest sci-fi movies are nothing but the amazing development of AI in the entertainment industry.
But the affectionate bonding of AI and entertainment has now gone beyond the tech-advanced sci-fi movies. How can you forget about the enhanced degree of AR and VR? In fact, these will be the heart of the innovation of AI in entertainment and media.
But AR and VR are one of the small faces of hyper-personalization in the entertainment and media industry via artificial intelligence. In actuality, each level of this industry has started enjoying the amazing innovations of AI, which makes the AI and entertainment industries inseparable.
Global media and entertainment are witnessing and recovering from many changes and adaptations in the market. Content creation tools like high-resolution cameras and cellphones information creation software are widely available in the market.
AI in the entertainment and media industry increases the user experience in gaming platforms, personalization, fake information detection, plagiarism detection, and even for sales and marketing campaigns.
Digital transformation and AI advancements have made entertainment businesses more customer-centric today. Entertainment and tech giants such as Blizzard Entertainment, Google, Microsoft, and Intel are creating memorable experiences for customers.
The key AI Feature that's improving the entertainment industry
Media companies have to undergo a lot of challenges while developing high volumes of quality content. And AI has been integrated to complete this goal.
1. Content personalization
Manually analyzing the binge-watch rate-building recommendations requires a lot of research and is stressful. Also, it misses the real-time data analysis of momentary visitors. However, whether it's a renowned platform or a newer one, retaining older users and earning new users is quite tough nowadays.
Hence the solution is to generate a promising statistician rate within in-moment users'. Directing the in-moment users into reliable subscribed customers is the only way to survive in this competitive environment. Here comes the extensive need for AI-enabled hyper-personalization.
By elaborating a dataset, AI can collect, prioritize, and curate individuals' past preferences and genre liking. Here, the advanced algorithms in ML help users with their best fit and valuable content recommendations.
Personalization involves providing the app user with an almost perfect:
Genre.
Favorite actors/directors.
Movie length.
Topic and much more.
Spotify and Netflix do this often by customizing users' preferences to increase user retention.
This model was successful because the app users, in most cases, pay a premium subscription. This changed the entertainment industry as viewers worldwide started watching on streaming apps such as Hulu, Netflix, HBO, Amazon Prime, Max, Disney+, and many more. For this , AI experts at Netflix have developed highly optimized Random Forest models
2. AR/VR
Augmented reality (AR) and Virtual reality (VR) are just a few features until advanced artificial intelligenceimproves them. AR and VR offer immersive user experiences and move the entertainment industry to another realistic experience. AR is primarily found in sporting events, even in museums and presentations. This lets the system collect users' real-time information on objects or circumstances around them.
Virtual reality allows users to enter an entirely different reality of their choice. VR will be more advanced, with META spending significant resources that have been spent on improving its features and functionalities that users can enjoy.
AI mines appropriate information instantly by deep learning, making the experience more detailed. No Code Machine learning and AR/VR applications have made it easy to access vast data sets.
3. SEO advertising
AI makes Search Engine Optimization (SEO) more efficient because it can access massive data sets. An automated approach to SEO and advertising is essential because customers' preferences keep changing, and keeping up with this in real-time is crucial for business and, at the same time, maintaining relevance in competition.
This helps businesses save a lot of resources by targeting advertisements focusing on users' individual preferences through deep learning rather than outdated assumptions. It even helps increase profit margins when a customer finds the right fit and improves customer satisfaction.
4. Streaming quality
Improving the quality of the content and stream makes the viewer's subscription. It is just like the websites; if the user likes the front-end of the website design and the interface could be better when they scroll through the website, they would not skip to the other website. If the viewer does not like the quality and content of the stream on their interface, they surely will not continue to watch the show and will opt out of the streaming app completely.
Netflix operates its system with a lot of software; ML tech is how Netflix develops its front-end, back-end, and interface to improve customer retention. Netflix has excellent streaming quality, which is one of the main reasons for Netflix's success initially and even today.
5. Cybersecurity
In every industry, cybersecurity is a critical matter. The way the entertainment industry has risen with success, it is evident that cyber-attacks will increase as vicious malware and cases of ransomware become common.
Google has been developing AI analyzing mobile endpoint threats. Organizations can use this analysis to protect the growing number of personal mobile devices.
Zimperium AI threat detection with the MobileIron compliance and security engine addresses the challenges of the device, network, and application threats. Other vendors, like mobile security solutions, including Lookout, Skycure, and Wandera, have their own AI algorithms for detecting potential threats.
Processes are automated, and cybersecurity for data usage as the entertainment industry is even broadcasting shows on cell phones. AIoT detects suspicious IP addresses and malware/ransomware even faster. AI finds patterns in cyber attack alerts streamlining the process of knowing about phishing and other hacking campaigns.
How is AI Improving the Efficacy of the Media and Entertainment Industry?
1. AI-enhanced customer journey and content
- As already discussed, an AI-enabled recommendation engine improves engagement quality and programs based on customer interest, scenarios, and trends. It can convert an anonymous user into a subscribed user via impressive recommendations. The AI-recommendations systems of today are designed in such a way that they can directly manipulate the mindset of customers or users.
- AI-optimized video content enables visual analysis, tracking, and **capturing of emotions instantly.These facilitate content optimization as per the viewer's choice, along with audio analysis of music and tone of voice for categorization and proper dissemination of content to the audience.
- Based on smart content tagging, a synopsis created for audio-visual content helps better categorize the content. This enables the users to do quick searches to land on relevant sites.
2. Enhanced advertisement landscape
- Broadcasters can advertise their product by AI determining ideal advertisements based on real-time analytics.
- AI and analytics offer smart ad inventory management and yield optimization.
- Machine learning algorithms show relevant advertisements based on the content.
- You can use AI tools for getting live Insights by user data, social media behavior, and usage patterns to help predictive analyticsto target better and different segments.
3. Content security and management
AI innovations are now hugely used in
- Anomaly detection in user engagement and subscription-based services.
- Compliance and contract intelligence and royalty payments by smart contracts.
- Digital identity and content authenticity verification.
- Predictive analysis shows content based on audience preference identifying the best content for maximizing earning potential.
4. Process Improvement
AI-based analysis and models
- help bots to digitize, automate and analyze metadata-attributing content AI/ML process automation improving financial business processes and financial reconciliations.
- help assess content performance through advanced analytics and advertising campaign effectiveness.
- enables hyper-automation QA system maintenance and support.
5. Service enhancement
- In the entertainment and digital industry, AI automates editorials, reducing manual interventions to optimize the cost of content creation.
- VR and gamification interaction with the user can improve merchandise options with products and services.
Conclusion
The entertainment industry was never about the viewers, but the online streaming platform has changed it to be more customer-centric and recommends what the viewer likes. This increase in viewers and subscribers has made online streaming and entertainment platforms know their audience and the segment to which they want to offer their services. It will always make many changes to reach the maximum audience and the right segment. Hence, if you are passionate about the entertainment industry but not comfortable being a public face, you can still work in the entertainment industry if not on screen but off the screen. :) Only you need to learn data science and AI and master all the demanding AI skills.
