In the wake of rising digitization, mobile apps have risen to be one of the most important parts of human lives. With nearly 2.7 billion active smartphone users, businesses are seen investing huge amounts of money in mobile apps. However, a basic mobile app would not fetch the desired results. This is where the concept of AI comes into the picture.
With industrialization 4.0, various technologies surfaced on the top and of these, AI leads the charge. Acting as the catalyst, artificial intelligence is just what your organization needs to scale up the business. It is defined as the ability of the organization to make smarter machines. By smarter we mean to say that AI tools are adept in performing functions that were earlier confined to the scope of humans. In simple terms, AI as a term simulates intelligence.
As much as the idea seems intimidating, so is it’s application and that is the reason why the majority of the developers infuse AI within their developed apps. The inception of artificial intelligence technologies in mobile apps leads to the generation of better and smarter applications. This occurs in the sense that developed apps have intelligence embedded within and own the capability to render personalized information. For instance, AI-driven apps can predict users’ behavior and provide information that is specific to that particular user.
If you aren’t much sure about how does AI transforms the world of mobile apps, this article will take you down the prospects of artificial intelligence in the domain of mobile apps.
5 Ways AI Affects Mobile Apps
Influence App Personalization
We have been accustomed to the idea of buying products online. A couple of years ago, the process would start with opening the app, search for the product or browse through the categories to find the needed item. After the adoption of AI tools and techniques, users experience a far better engagement with the app. As soon as the page opens, it displays products that are similar to the ones purchased earlier. That is the feed consists of items that appear relevant to the user. On the basis of the user’s search behavior, the app filters out the products and showcases the ones that intimidate users the most.
Improved Search Ability
For years, text and speech have been the only way to look and search for products, right? However, the integration of artificial intelligence has paved the way for something that we call as visual search. Yes, you heard that right. Visual search is a concept where a simple click on the image of the product takes you to the store or provides information related to the product for further knowledge. The ones that know about the Google lens might be aware of how does this progress. Apparently, this form of visual search is faster than the other textual and vocal forms of search. Undeniably, this work wonders for the online store owners as often it leads users directly to the store, increasing the likelihood of sales.
Translate On The Go
Translating languages are always a major issue as it mandates the need for internet connectivity and fails to work in an offline mode. Even though there are thousands of apps that perform the translation work, none are compatible within an offline medium. Now, this is where the technology of artificial intelligence comes to rescue. With AI, developers can now build language translation apps that can work without an internet connection. Such apps enable translation in real-time with tools that can be set for a particular latency. Meaning that you set a time between the word spoken and the appearance of the translated word. You can consider them to be one like the interpreters.
The present-day developers use face lock for mobile authentication instead of the text lock or the fingerprint sensors. This is based on algorithms developed using AI and optimizes the way users unlock their mobile devices. Apple was the first to introduce such a concept of unlocking with facial recognition. Additionally, the radar free or the hands-free gesture introduced by Google improves the facial recognition system where the device gets unlocked, irrespective of the orientation of the user. Evidently, facial recognition is faster and a secure way of mobile unlocking.
Sophisticated Cyber Security System
It is pretty clear that artificial intelligence is on the rise and with it the not only the developers but also the criminal’s benefit. It is anticipated that artificial intelligence would also help hackers and intruders eavesdrop significant network. Here arises the need to deploy stronger systems, one that is capable of cyber defense. The fusion of artificial intelligence with blockchain, deep learning and machine learning algorithm draft a system that is secured and protected from cyber-attacks. This, in turn, improvises the app authentication method, making it hard for hackers to evade a network. AI built systems are capable of notifying users about the existence of malware or any threat, safeguarding their system from unwanted breaches.
Having said all of the above, designating artificial intelligence to be the groundbreaking technology would not stand wrong. It outlines numerous possibilities in the spectrum of innovation and creativity, changing the manner in which users act and interact. Undoubtedly, integrating your business app with artificial intelligence would drive immense benefits and keep you one step ahead of the competitors.
According to McKinsey, there have been millions of investments made by individuals and organizations in the gamut of artificial intelligence. Evidently, the figure keeps rising year after year. And why not, when there lie huge possibilities of innovation and growth, putting the technology to use would do nothing but good. However, this is just the start and the technology has much more to offer than what meets the eye. From extending personalization to expanding data usage, biometric authentication and secured searching capability, undeniably artificial intelligence is the future of mobile apps. In case you do have a business app running, it’s time to rethink the features and restructure the same to map the AI-driven needs of the industry.