Artificial intelligence is revolutionizing the app market—here’s how

 

Artificial intelligence is revolutionizing various everyday activities. It has become so ingrained in people’s daily lives that many no longer know how to perform simple tasks and rely on AI models for everything. However, before reaching the general public, AI was already widely used in the development of mobile applications, bringing almost imperceptible improvements.

This affects all types of apps, from those used for sports betting, such as 1xBet APK, to those that are essential to users’ lives, such as banking apps. Here, you will see several ways in which artificial intelligence is revolutionizing the app market, whether by assisting developers, creating more complex techniques for use, or even facilitating the user experience.

Ease of software development brings opportunity

 

Software and app development is still a complex activity that requires a lot of experience and advanced IT knowledge. However, artificial intelligence has optimized several procedures in development. It can, for example, check for errors in the code and point out corrections accurately.

This greatly optimizes development time. Instead of several professionals having to pore over the code, all they have to do is copy and paste it into a specialized tool and check for possible errors. This has made app development more simple and democratic.

By leaving AI in charge of performing several small functions during development, the professionals behind it have the ability to devote more time to improvements and the implementation of good ideas that enhance the user experience. In addition, this makes it easier for a single person to develop an app, which opens up possibilities for professionals who have had great ideas but did not have the professional and financial structure necessary to get them off the ground.

As a result, more innovative applications are emerging. After all, creativity and innovation are once again taking center stage in app development. In addition to automatically analyzing code, AI can also perform usage simulations, correct errors, and even generate technical documents about the code.

User experience is optimized

Every application should be designed to make it accessible to users, without them encountering difficulties while navigating. The only way to ascertain this was by making the app available for testing and receiving feedback on what could be improved to enhance the experience. Now, AI is capable of testing with different types of users in mind, testing accessibility in various ways. In some cases, A/B testing is used, in which two scenarios are tested to determine which is more successful.

Obviously, artificial intelligence will never replace humans in these experience tests, as this can be an extremely subjective factor depending on the needs and difficulties of each individual. However, in these cases, AI can still help by organizing the data collected from users in a way that allows developers to accurately identify what needs improvement in the applications.

Virtual assistants facilitate, in part, problem solving

Many companies operating in the digital world already use virtual assistants, also known as chatbots, in customer service. This can also be used to collect data on problems with app navigation.

In more emblematic cases, such as fintechs, where the entire operation is digital, AI screening at the time of user service can still reduce costs. Many customers can resolve their questions before being directed to a human, which saves a lot of time and money.

However, not everyone likes AI customer service, especially in cases where companies make it difficult to contact a real employee. So, in the opposite direction, several companies are investing in increasingly humanized customer service with no bots. This has become another differentiator for many brands, which find a large market niche there.

Niche ads that give developers more profit

Everything we do on the internet is tracked so that companies can understand our consumption habits. Although this is scary, it is a reality that can no longer be changed, as a large part of the income of most mobile apps that make life easier comes from targeted advertising.

This allows app developers to earn much more money. After all, when a user receives advertisements for products or services that have nothing to do with their profile, they rarely make a purchase. When they receive niche ads, the business rate increases significantly. And with every click and purchase that comes from the app, developers earn money.

So, even though ads are annoying for most people, they help keep professionals in business. With more money in the bank, it is possible to improve apps and, later, use the money to bring more innovations to users.

In addition, the personalized ad model allows many services that were previously only available in paid versions to be offered in free versions with ads. This makes various tools more democratic, expanding user access to services that meet their needs.

Wider audience with automatic translations and adaptations

Many companies, especially digital ones, were restricted to the borders of their own countries due to a lack of budget to adapt their service or product to other audiences. One of the crucial factors in this adaptation is the translation and localization of content. And in this regard, artificial intelligence can help a lot.

Although the production of adaptations does not come close to the accuracy of those made by humans, they can be very helpful for low-budget companies and apps that want to initially test a new audience before investing in that country. Again, this opens up opportunities for small and independent developers.

Looking at the issue from another angle, users also gain access to more content. Content creation in English and Spanish, especially on Western social media, is much greater than in other languages. As a result, many materials have never been available in certain languages, limiting access to them for a portion of the population.

However, AI is capable of automatically translating text and video content. In the case of videos, this is even more prominent, as several AI tools automatically recognize the content and generate translated subtitles. Even automatic dubbing can now be done, with voices that sound increasingly like real humans.

Security in user data authentication

Many applications require user identification to increase the security and reliability of their services. This is even more critical when apps involve financial transactions. For this reason, it is common for brands to ask users to submit documents to authenticate transactions.

Anyone who has gone through this in the past knows that the analysis could take days and days. Today, with the automation brought about by artificial intelligence, some tools automatically recognize the photo on the document, optically recognize the information, and cross-reference all the features with the photo the user takes at that moment.

This makes it possible to perform immediate authentication and have easier access to various platforms that previously had a delay in registration time. Even opening bank accounts has become much easier with this technology.

Content on social media

The use of artificial intelligence in creating content for social media has brought about many changes in the type of material that is posted on these platforms. Several factors explain this:

  • Those who have good ideas but lack the materials to produce videos can simply use generative AI to take their scripts off the page and bring them to life. Of course, the videos still sound fake, but they work very well when the script is well-written and creative.
  • Users who had knowledge but lacked charisma or camera skills can now create content using AI and post it on social media without having to expose themselves. This makes it easier for them to pass on their knowledge.
  • Social media management teams save a lot of time on posts that are not so important in terms of content, but only serve to recognize activity for algorithms. In these cases, it is possible, for example, to automatically generate text for captions.
  • Graphic design has also become more accessible. Obviously, the quality of artificial intelligence creations is not on par with that of professionals, but it can still be very helpful to professionals who are starting their careers and do not have the budget to invest in communication and marketing. This is the case for small e-commerce businesses and self-employed service providers.

Information security can benefit

Application security is essential for all users and platforms; after all, trust is what attracts customers to apps and makes them profitable. AI saves a lot of time on cybersecurity analysis and risk prevention by identifying potential threats in advance and suggesting possible ways to correct them.

This further reduces concerns about using sensitive platforms, such as banking and healthcare apps. This makes everyone more confident in the security of apps, generating a larger audience and more revenue for developers.

Summary: Ways AI is revolutionizing the app market

Now that you’ve seen several revolutions that artificial intelligence is bringing to apps, see the table below for a summary of all the information:

Improvement How it helps
Ease of development AI facilitates app development, allowing more people to get their ideas off the ground and bring innovative tools to users.
User experience The user experience can be improved more accurately through testing and analysis done with the help of AI.
Automatic customer service Customer service via chatbots can save a lot of time for customers who want to solve problems.
Personalized ads With personalized ads based on internet activity tracking, more users end up clicking on links and making purchases, earning developers more money.
Content localization Foreign companies can more easily adapt to audiences in other countries, and people can easily consume content in other languages.
Authentication security Automatic facial recognition facilitates access to tools that require advanced identity verification.
Social media materials Creating online content has become easier with generative AI, which brings many creative ideas to fruition.
Data security AI performs security analyses and tests on apps, eliminating threats before they materialize.

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