Artificial intelligence (AI) has been with us since the 1950s. Ever since the demands of the market had only arisen, they arise fast and furious with every passing day. More and more, we tend to rely on machines to do demanding and complex assignments for us. Computer science has become an inseparable part of our lives. There is hardly an area where machines aren’t taking place, from home advanced appliances to telephones and social media. Some sincerely believe that there is no life without AI and machines. They give all the credit to mobile application development with artificial intelligence.
We tend to install mobile apps with newer possibilities. It has become almost an automatized reaction of humans to changes that AI and mobile apps bring to our everyday life. We use more and more of them, and we expect even more with every passing day. Somewhere along the way, we leave our DNA and fingerprints all over the world of mobile apps and the internet as a whole. And what happens? Machines became so smart to read through us completely. They seem to know what we want even before we want it, and they suggest even more and more content.
Here are a couple of figures that state quite clearly how important smart machines and artificial intelligence are:
- Artificial intelligence will have a value of $267 billion in the next five years.
- The current global employment share of AI is 37%.
- AI is used on a daily basis by 26% of users.
- Total expenditure related to artificial intelligence and smart machines in 2021 went as high as $57.6 billion.
These numbers will only go rocket high in the coming years since people can not imagine their lives without AI, smart machines, and mobile applications altogether. Now, let us learn what happened when AI and mobile applications joined forces.
AI Effects On Mobile Application Business Growth
More and more users want mobile applications to go over and beyond and surprise us. The demands are high and classic apps with ground features just don’t do the work anymore. Therefore, mobile applications need AI to grow and satisfy the needs of customers. Businesses already partnered with AI pat themselves on the back since the results are amazing. Let us see what did AI do to mobile application development in practical terms.
- Visual Identity Verification
Visual identity verification is an inseparable aspect of smartphones. It adds to the security of the device and mobile applications, and – they are so easy to use. Visual identity verification uses machine learning and artificial intelligence to recognize users’ faces to unlock features and applications. The technology behind AI and ML will go as fast and far as to recognize various facial features (bruises, beards, scars) to ensure the safety of devices, the protection of private information, and the protection of minors from adult content. And it doesn’t matter if you are a banking system, a government agency, or a private individual – the opportunities are and will be there available to everyone.
- Phone Applications
We live in visual times where visual applications (TikTok, Instagram) are an important part of both personal identities and business marketing. Having high-quality photos and videos is a must and is not negotiable. Mobile applications partner with artificial intelligence in a way to install new solutions. Smartphones and applications have smart cameras that can get the most out of any demanding situation (poor light, bad weather) and produce high-quality photo and video content. Some go even further as to monitor customers’ health every single day. Imagine the contribution of these options to the global economy!
- SEO (Search Engine Optimization)
It is artificial intelligence that goes the distance and places your photos, videos, blogs, and website content high in the search results. AI algorithms take the keywords and customers’ experiences to maximize the search effects. Companies that develop mobile apps need to work closely with AI and understand it to maximize its effects. When a user searches for a specific hotel via voice command, they will receive the information they asked for but will receive even more: directions to the very location, reviews in top-speed time, and remembering your wishes for future user experience.
- Recognizing Emotions
We tend to think that machines understand and recognize only data. But if they could understand and react to the concept of human emotions? They already understand that there is a variety of human facial expressions, and a step forward is to understand the emotions behind them. Facial expressions, voice intonation, and body language are already part of the AI offered to mobile apps. They make these features valuable for companies in terms of recognizing the needs and feedback of customers and improving their services and products.
- Saving Time Online
Time. Companies try to keep up with the customers’ demands by providing good products, services, and experience and doing it in the shortest possible amount of time. What seems to be merely a click on the mobile application translates into the collection, storage, delivery, and analysis of various online information. AI helps out a mobile application to speed up the process and improve the sales and the users’ experience.
- Click-Translate Services
There are so many online translation tools, but not every one of them is functional enough. Most of them require an internet connection at all times and tend to offer solutions that are simply not correct. When AI and mobile apps join efforts, the user receives applications that translate desired content instantly.
- Handy Suggestions
The users want nothing but the newest devices, applications, and a world of new experiences. Mobile applications need to provide nothing less than that to keep up with the demands of the market. Businesses need to think about incorporating users’ information (searches, purchases) into their algorithm to offer proper products, services, or experiences.
To Conclude
The development of mobile applications has undergone numerous changes under the effects of machine learning and AI. They became a whole new experience for their users. Interface surroundings became friendlier, and users underwent entirely new perspectives and better interaction. Businesses gained access to AI resources and increased effectiveness and development globally.