by Anika D | Feb 3, 2023 | Artificial Intelligence
Whether it’s web search, online shopping, or smart homes, several applications of AI are everywhere. It is growing at a CAGR rate of 38.1% (2022 to 2030), and it’s likely that by 2025, 97 million people will work within the AI space. It’s certainly the future of decision-making!
Amidst its popularity, another industry is getting the best benefits of AI, and that’s the entertainment industry. AI has become an integral part of several entertainment domains, like film production, game development, and music production. It helps to automate tasks and encourage entertainers to spend time on crafts to deliver the best outcomes.
There are several applications of AI in the media and entertainment industry.
Content Personalization
If you have used Spotify, you must have seen the recommendation list that features the songs that you want to hear. Sounds magic, right? But in reality, it’s AI. Spotify is secured with AI-powered music and podcast recommendations that leverage user data to create the song list. Based on your song preferences, history, and playlist, it predicts the songs and recommends them to you. And it works spot on.
Just like Spotify, AI is used in several OTT platforms, video-sharing media platforms, and applications. It uses both AI and ML (Machine Learning) so users can get the best experience through their recommendations. These smart recommendations have eventually become a crucial reason for growth and higher revenue for media platforms.
Online Advertising
In other industries, AI is already a hero in online advertising. It uses efficient techniques like big data analytics and machine learning to identify the target demographic and ensure a good user experience. In the media and entertainment industry, it’s just like that.
Like any other domain, the entertainment industry requires promotion and branding too. So they use AI advertising that accesses relevant data from the users’ history and determines which ads are suitable for what audience. Meanwhile, ML also helps by sorting the users who are more likely to take action. This perfect combination of AI and ML ensures that advertisements are visible to the right audience.
Besides that, AI also helps the entertainment industry with fast and high-quality content creation. With the help of Natural language processing and text analysis, media platforms can create different content, including blogs and articles, for their website. As write-ups are the backbone of the competitive media industry, it helps companies to stay consistent amidst other platforms. Put simply, it’s a time-saving, profitable, and efficient way to draw customers’ attention.
Automated Subtitles
Imagine you are watching a movie that is taking an interesting turn, but suddenly the subtitles seem a little mismatched. It’s unsynchronized with the scenes that are coming up on the screen. Wouldn’t you blame the platform where you’re watching it?
Media and entertainment industry understands the importance of subtitles. This is especially after the audience has started watching movies, shows, and content from different countries. That’s why platforms use AI for a smooth subtitle display.
With the help of natural language processing, media platforms can create automated subtitles for the audience. It works by analyzing the vocabulary and speech and then creating correct subtitles.
Not just that, AI can also convert subtitles into different languages. As movies and shows are being premiered on a global level, people are becoming more diverse in their choice of entertainment. To go with the trend, AI ensures that people get subtitles in their preferred language.
AI also ensures that the subtitles are free from any errors. It helps industry experts to recognize the scenes where the subtitles must appear, along with their duration. The text is perfectly synchronized with the audio and video, which eventually offers a good watching experience to the audience.
Content Categorization
Media platforms always look for ways to make things easier for customers. Whether you’re on an OTT platform like Netflix or a music platform like Spotify, you’ll get categorizations as per genres, casts, or artists. This, again, is possible due to AI.
Several applications of AI work by thoroughly analyzing the data of content, so it can be categorized as per the genre. It can also analyze the common objects and traits in the movie and sort them out into a single category. Put simply, it automates and simplifies the process of content categorization.
Now, how does it help? Users who want to watch content from a particular genre wouldn’t have to search for it separately. They can simply go to the genre section and find the content there. AI, with other newest technologies, can ensure a sense of satisfaction and ease for the users.
Content Moderation
The rules and regulations for displaying entertainment may differ from the country. Things that are allowed in some nations may not be allowed in others. Countries may sensor scenes that they find sensitive or inappropriate. So, media platforms need to stay aligned with the rules.
In this case, AI helps by performing sentiment recognition and object analysis. It works by identifying the sensitive or irrelevant visuals, so the platform can work as per the regulations. Also, NLP can help identify any rude dialogues and take care of them accordingly.
Based on this sentiment recognition, platforms can categorize the content as to which ones are ideal for adults, kids, or the general audience.
Movie Production
AI can automate different sectors in movie production for quick and easy film-making. Not only does it save both time and resources for the production company, but it also helps to generate fascinating scripts for the viewers.
Machine learning, for example, is effective in analyzing different sections of the script to come up with something more authentic. Just like that, generative AI is revolutionizing creative work. So, there are diverse benefits of AI in movie production.
AI system is also useful to editors for making trailers, as it identifies relevant scenes from the movie and helps to create exciting trailers.
Bottom Line
To sum up, we can say AI has dominated the entertainment industry for good. If things go like this, AI can encourage dynamic media in the coming time.
by Anika D | Dec 24, 2022 | Artificial Intelligence
Generative AI allows companies to produce unique and realistic textual, visual, and animated content within seconds. Moreover, Gartner also predicts that by 2025, out of all the data generated, 10% will be developed through generative AI.
This domain of Artificial Intelligence has revolutionized the creative industry significantly. This is what this blog post is about. Keep reading as we outline how generative AI empowers enterprises’ creative work in 2022.
Source
Ways in Which Generative AI is Revolutionizing Creative Work
Image Generation
Companies can roll out impressive, realistic images with the help of generative AI. The results are based on the user’s subject, style, setting, or location. These images are further used for commercial, advertising, education, and marketing purposes.
Semantic Image-to-Photo Translation
Generative AI enables companies to create a realistic version of semantic images. Companies that work with travel agencies or the healthcare sector can use this technology to facilitate location access for users.
Image-to-image Conversion
Many cosmetic and transformation brands use generative AI technology to help consumers see their probable future image. This technology is widely used in the optical, makeup, and fashion industries. With a few clicks, it shows the possible transformation of the buyer after using the products.
Super Resolution
Generative AI utilizes different methods to develop new content based on existing ones. Generative Adversarial Networks – GANs, are one of the most popular here. It consists of high-quality generators and discriminators to create new and realistic data. This method allows companies to create high-resolution images within minutes. This technology is immensely useful for surveillance purposes.
Text-to-Speech Generator
Generative AI also helps companies to produce realistic speech audio. It helps them achieve real results in less time. Moreover, the discriminators serve as an expert who tones, accentuates, and modulates the voice accordingly. This technology is useful in marketing, education, advertisement, and podcasting applications. Besides, AI is also revolutionizing out-of-home advertising for small businesses.
Speech-to-Speech Conversion
A revolutionizing application of generative AI that uses existing voice sources for voice generation. With this technology, voices can be quickly created. Companies operating in the film and gaming industries can use Speech-to-Speech Conversion to develop games, documentaries, and commercials without the assistance of a voice artist.
Music Generation
Do you know this tech can help music production? It has advanced music-generation tools to create unique musical content for advertisement and other purposes. However, enterprises need to take care of the copyright and infringement aspects while generating music with this technology.
Text Generation
It can generate text with state-of-art ML algorithms. It is also used in creating headlines, dialogues, or ads. Moreover, text-generation tools can also be used in live chat boxes and social media content generation. Apart from this, it is worth exploring how adaptive AI will change the customer experience in various sectors.
Source
Summing Up
Generative AI is a booming technology expected to reach USD 110.8 billion by 2030. It is one of the rarest technologies with wide applications across different industries. It is high time companies start investing in this technology to leap over the competition.
by Anika D | Oct 22, 2022 | Artificial Intelligence
When it comes to AI, technology has certainly transformed several industries. Whether it’s medical or retail, AI has taken the whole world by storm. While that is true, there is another concept called adaptive Artificial Intelligence, which can update its code and include the things that it has learned through new data.
It also suggests that adaptive AI can transform the customer experience in various sectors and ensure that the brand maintains good relationships with the customers. Wondering how it can do so? Read through:
Working Principle of Adaptive AI
The working principle of adaptive AI is quite simple to understand. It works by learning and monitoring any new changes that are made to both input/output values, plus any events that affect customer behavior.
Put simply, if there is something that a customer likes/dislikes, the adaptive AI will learn from that particular feedback and utilize it to come up with efficient and data-informed decisions. This eventually provides quick solutions and an overall good experience for the customers. As 55% of customers would pay more to get a better customer experience, adaptive AI is an important aspect for businesses.
Source
Adaptive AI works on three important factors, robustness, agility, and efficiency. While robustness helps to come up with high algorithmic accuracy, efficiency ensures better performance and low resource usage. Agility, on the other hand, is focused on transforming operational conditions as per the given requirements. With all these features, AI is revolutionizing out-of-home advertising for small businesses.
Ways By Which AI Can Transform Customer Experience
Now that you know about Adaptive AI and how it works, let’s learn some of the ways by which it can transform the customer experience:
Chatbots
One of the most useful benefits of adaptive AI is the chatbots, that is ideal for improving the chating experience and ensuring the customer
experience that the buyers need. Whether in retail or healthcare, AI technology has been exclusively used in many industries and is changing the future of work. It uses several data sources, starting from databases to websites, to improve the service without human intervention. It can ensure accurate replies and personalized messages, so customers can get a real-time feel.
Source
For this reason, chatbot’s market revenue is likely to shoot up to 454.8 million USD by 2027.
Edge Computing
Adaptive AI has also shown promising effects in adjusting to the computing needs of edge systems. Its outstanding support can ensure that you do not require much compute horsepower or memory resources whatsoever.
It also helps the edge applications to adjust as per the workload that corresponds to the requirements and the atmosphere. Additionally, it’s useful for processing locally on edge systems.
That’s it. Hopefully, now you know how adaptive AI is useful for transforming the customer experience in various sectors.
by Anika D | Oct 10, 2022 | Artificial Intelligence
Soon, the advertisements we all watch on the internet or TVs may come to a digital billboard near you, furthering the businesses with more effective content delivery. So, it is how out-of-home advertising will change in the coming times.
Small businesses still need to develop a grip on the market and can hit the jackpot with this concept. It is the ultimate way to deliver more engaging content and capture the target audience’s attention.
Keep reading as we highlight how AI revolutionizes Out-Of-Home Advertising for small businesses.
Source
How is Artificial Intelligence Changing Out-Of-Home Advertising?
Object recognition is the sole ingredient that empowers AI to change the concept of OOH advertising. It can detect the face and its features and ascertain whether the consumer is happy.
It helps in predicting the gender and age of the person. This simple exercise can help small businesses understand the performance of their content. They can further use the data to refine their existing media and offer what the consumer wants.
Besides this, small businesses should also consider understanding how to make the Internet of Things strategies to ensure faster movement of AI data. The best part about AI is that it does not store any personal information in its database, ensuring 100% safety for the consumers.
Businesses can hire experts to handle the top 7 types of data security technology to protect consumer and enterprise data. That is not all. AI-integrated cameras can also count the number of cars or people passing by an OOH display.
This data can be valuable for small businesses, helping them place their billboards in busier areas. The crux is that Artificial Intelligence enables companies to develop better brand loyalty and product awareness and boost conversions by transforming traditional Out-Of-Home Advertising into an advanced medium.
How are Bigger Brands Making the Most of AI in their OOH Advertising Campaigns?
Do you know that over 96% of marketers have attained their business goals through AI? Small businesses can also register their names in this list. Here are some inspiring examples to consider in 2022.
Gmail – It uses AI to read draft texts and suggest words and grammatical mistakes with Smart Compose. Moreover, Facebook uses this technology to identify people in the pictures and offer tag recommendations.
McDonald’sMcDonald’s – When adults walk by a McDonald’sMcDonald’s OOH ad, salads or burgers are shown. Similarly, when kids pass by, it starts showing Happy Meal options for them. They made it possible with the help of Artificial Intelligence only. Small businesses can take some clues from this strategy.
Source
Bottom Line
So what will the future be like when AI combines with Out-Of-Home Advertising? Experts say nothing but bright. The global digital OOH advertising industry has crossed the $14.8 billion mark in 2021 and is expected to touch $33 billion by 2027.
Moreover, the addition of voice technology, augmented reality, machine learning, and location data will change the advertising game drastically in the coming times. All these mediums will function together to develop a more relevant and accurate display for the consumers.
by Anika D | Sep 24, 2022 | Artificial Intelligence
Computers are becoming more efficient in making fake faces using a technology called generative adversarial network (GAN). This technology enables propagandists to hide behind computer-generated personas without any baggage. GAN is good at imitating people, but some features still trouble them. As a result, there are many artificially generated pictures with signature glitches. Here are some things to look for when recognizing an image produced by a GAN and identify fake AI – generated faces:
Source
Straight Hair Appears Like Paint
Usually, long hair takes a hyper-straight look where a small patch seems good. But long strands look like someone smudged the acrylic with a huge brush or a palette knife.
Asymmetrical Jewelry or Facial Features
Suppose a big weird blob is floating off the top of the person’s head in a picture. Such kind of aberration or artifact is common in artificial intelligence generated images. You can also check asymmetry in a photo by looking around the ear of the person. You will notice fuzzy hair, and sometimes also there are missing earrings.
Indecipherable Text
Source
AI-generated faces have difficulty capturing things in the background with some structure. Also, GANs have seen original and mirrored versions of the data, meaning they have trouble modeling writing. Finally, it is due to the fact that it only appears in one orientation.
Teeth
Algorithms don’t know the orientation or number of teeth. So instead, it draws on examples of teeth from different angles. Sometimes, the algorithm messes with that and leaves its creations with mangled and odd teeth. So it might be a little more difficult to spot than a disfigured or missing earring. But, if you look at the image closely, you can find some weirdness, especially around the ears.
Surreal Background
GAN-created faces look believable because all the training data has been centered. It means there is less variability for the GAN to the model while placing and rendering eyes and ears. On the other hand, the background can contain anything. It is enough for the GAN to model; thus, it replicates general background-like textures, not the “real” scenes.
Non-Stereotypical Gender Presentation
GAN has a collection of 200k images of above 10k celebrity faces. In this dataset, GAN regularly mixes different features from stereotypical gender presentations. More generally, it is because GANs don’t learn the same categories that humans socially reinforce. Therefore, it is vital to be clear that if asymmetry and non-stereotypical gender presentation is not inherently an indicator, an image will not be “real.”
Strange Backgrounds or Clothing
Sometimes, patterns are a mystery for face-generating algorithms, leading to strange structures in the image background or weird clothing on the subject. Therefore, watch out for text in the background of the image since it’s always malformed. Though the image’s subject will look stunning, it will appear in some geometric jade prison.
To Sum Up
Hopefully, the tips mentioned above will help you identify fake AI – generated faces make you start to question things you see in different ways. In addition, it will force you to corroborate evidence even when you see an image that looks human.
by Anika D | Sep 9, 2022 | Artificial Intelligence
When you think about Artificial Intelligence, the first thing that comes to mind is robots that can service your every whim. So, the future of AI will revolutionize the way of working. AI is already present in the workplace. For example, you can use AI while using Google Maps to find the way for an off-site meeting. You can also use it to spell-check the prepared project reports. However, AI’s current state and future go far beyond simple mundane tasks. so, let’s discover if can robots are the new employees and a lot more!
AI and Robots
The answer to whether can robots be the new employees lies in their work. A robot is a device made to perform specific tasks automatically and better than humans. Though robots are not exactly human-like talking figures, you can get them designed to act like humans. AI-enabled robots use the principle of reinforcement learning. It means they can make their optimal decisions based on past experiences.
AI robots can do repetitive work and determine ways to improve it. They learn everything themselves and decide their actions based on complex calculations. For example, robots can enhance the productivity of repetitive work in the manufacturing field.
Robotic Process Automation (RPA) means robots can integrate human interactions and perform specific processes like humans. Such robots can learn business processes and interpret human communications.
Source
Why Does AI Replace Some Jobs?
Many organizations implement AI technology to perform different tasks. AI not only has a limit to assembly lines. But also, AI job disruption takes place in many sectors like sales and customer support. AI is replacing certain jobs due to the following factors:
-
AI Robots Show more Accurate Results than Humans
Humans can make errors, but robots don’t. Computers can perform exact processes for which they are programmed and execute them perfectly. Thus AI-enabled robots can perfectly do the tasks like copying, typing, transcribing, or pasting.
-
Robots Do Not Require Breaks
Robots can deliver quality work efficiently if they have a battery. In contrast, humans perform their jobs differently all the time. Moreover, lack of sleep, hunger, or boredom can affect human productivity.
Many industries are dangerous for workers; for example, mining, construction, etc. They involve a lot of risks and circumstances that can affect workers. In such conditions, the AI robot can work effectively and reduce the risks. It can withstand toxic fumes and intense heat easily.
-
Robots Offer Cost Savings
Though investing in AI technology is not cheap, it can be much more affordable in the long run. Once you get the machine, it just needs power and maintenance. Moreover, you don’t have to pay monthly wages and invest in training. As a result, businesses save a lot of money in the long run.
Which Sectors Will AI Change?
AI has changed almost every sector, but its future promises to revolutionize more businesses. Let us know some of them.
- Health Care: Using Artificial Intelligence, doctors can better diagnose illnesses and make lifesaving treatment more likely. They might use AI to find new ways to treat problems like dementia and cancer.
- Service Industry: In the future, AI machines can replace cashiers, customer service representatives, and even cooks.
- Law Enforcement: AI facial recognition in security cameras will help police officers to catch potential criminals. Intelligent bots can also replace police officers.
- Online Security: AI can more intelligently detect online fraud and provide cyber security. The AI will better determine spending changes and consumer credit activity than the alerts you currently receive.
- Transportation: In the future, vehicles will be able to drive themselves.
Final Thoughts
This was a great discussion on how can robots be the new employees. Though AI has some drawbacks, nothing is stopping it from moving ahead. However, as per various experts, as AI evolves, humans need to monitor and regulate its progress more carefully.
