A Glimpse into AI and its Influence on the Future of Mobile Apps

In the future of mobile apps, AI will be used to make apps smarter and faster while reducing their reliance on big hardware configurations.

Artificial Intelligence (AI), the term that straightaway sounded like a sci-fi term a few decades ago, has become a part of our everyday lives. From entertainment to education, AI has taken over to improve the experience and quality of services. Within the last few years, there have been many experiments on AI opportunities for the app development industry and most of them have succeeded too. Today, we have smart IoT networks, innovative smartphone games, enhanced cybersecurity protocols, and more due to AI and its innovators.

A Statista report shows global AI software revenue might touch a threshold of 126 billion USD by 2025. In this data, operations such as machine learning, automation, and many other AI supporting technologies are included as well.

Furthermore, in this blog, we are exploring some crucial impacts of AI in mobile apps and how the future can be influenced. We will explore some AI in app development operations that exist already to figure out where more innovations can lead to. So, if you find this future of AI in Mobile Apps discussion interesting, stay with us until the end of this blog.

1. Enhanced security

When we talk about enhanced app security, we are not only discussing the database-related part, we are also talking about how features such as face recognition, fingerprint scanners, and more are capable of offering better security and reaction in AI-based mobile apps. In simple terms, AI and mobile apps are safer to store data, especially if it is some sensitive information like user credentials, financial information, or more. Top brands such as Apple have already adopted the technology to provide an advanced security system for smartphone locks and app locks.

2. Reduced cybersecurity vulnerabilities

AI-based mobile applications are capable of detecting anomalies or suspicious attacks as well. For instance, services such as Gmail are using AI to detect phishing attacks to move such emails into spam. AI is also used in emails to categorize them. Among common mobile app trends, you will find apps on your smartphones that alert you about possible viruses or hardware failures. These algorithms are used as a common trend in mobile AI app development to ensure that you are aware of your smartphone’s health. AI keeps scanning your smartphone regularly to find hardware or software anomalies. It also provides you with possible solutions to get rid of them.

3. Smarter chatbots

The role of artificial intelligence in future technology is also impacting the customer service sector on a huge scale. Now, AI chatbots are capable of solving basic customer queries without the involvement of a human agent. For companies, this artificial intelligence app development innovation has reduced costs, work burden, and helped them in enhancing customer satisfaction levels.

4. Personalization

In recent trends in artificial intelligence, personalized recommendations and homepage have gained quite a good amount of popularity. On apps such as Netflix and Spotify, you will observe that you get recommendations as per your taste. With Big Data collected through your user behavior, these platforms are able to offer better efficiency in their services by using AI with other technologies such as Deep Learning. Almost all streaming service applications have adopted this trend today. In the future, this trend will grow to be more efficient.

5. Smarter IoT devices

IoT devices are using artificial intelligence in mobile app development operations for better performance, reliability, security, and responsiveness. From understanding commands better across multiple regions to regularly scanning for any possible threats, AI in IoT devices and apps is making life more comfortable for users. For responsiveness, AI is used to understand various dialects, pronunciations, vocabularies, and more to take better actions. On the other hand, artificial intelligence companies are also using AI on IoT devices for a smooth flow of commands. AI helps them in keeping an eye on servers connecting all devices.

6. Targeted advertisements

Through multiple AI-based mobile apps, your big data is already collected and used to display personalized advertisements. On websites, apps, games, and more, you get ads related to products you either bought or looked through. With big data, AI shortlists these ads to target you to display products or services that you might like depending upon your browsing behavior. Leading eCommerce portals like Amazon are already using this technology.

Conclusion

AI-based mobile applications are capable of improving the quality of user experience effectively. From entertainment apps to gaming apps, AI is pushing them to their optimum quality. If you have ever used apps such as Replika, you will see the animated chatbot that you get on the screen is entirely unscripted.

You can pick personalities for it and then it will talk to you according to things that you share with it. Replika was designed to give users a space where they can feel safe and share their thoughts. AI used in Replika is evolving with each new update it receives to become smarter. And, it’s not far when we might have such AIs for therapies and consultations accessible from our smartphones. In short, Replika proves that the crucial role AI is playing in mobile apps is making them available to help all-time. Now, this role has to expand across various services like instant healthcare alerts, psychological consultations, and more.