Artificial intelligence is the most trending term of the 21st century. The human-made superintelligence is ruling every dimension and enabling the devices to be intelligent more than humans. The expansion of AI-based services is not narrowed to the technology sector; its roots follow healthcare, automobile, finance, and every industry. It is mass-level technology.
Today, many Android and iOS applications are basing on AI power and excelling. One statistical prediction tells that by 2025, the global AI market will hit the $190.61 billion figures. Each app development agency currently develops applications for multiple niches and uses AI power for intelligent systems, automation, and high accuracy.
The applications of AI are limitless. It is so flexible and can be blended with any other technology. Probably, if you are reading this article on your smartphone, then it also has the AI configured in its core-shell. Phone cameras can also identify the environment and select appropriate filters and settings to achieve the picture’s enhanced version. A Google Assistant who can do anything just by listening to your words.
There are numerous use cases to analyze the AI potential in mobile app development. We will look at the few powerful ones here.
Benefits that Artificial Intelligence Offers in Mobile App Development
- Neural Networks
Machine learning (ML) is the most fundamental element of AI. It is responsible for analyzing financial time series, predicting weather forecasts, real estate values, trend predictions, autopilot, human-less driving, and other areas where beforehand anticipation is required.
Neural networking handle all of these predictive analyses remarkably. Machine learning, a famous name of the neural network, is currently in the use of everyone. Check out some of its typical applications below:
- While drafting an email in Gmail, we see automatic grammar suggestions and sentences autocomplete.
- Signature verification system in banks based on neural network.
- The autofocus and face detection feature in digital cameras.
- AI-based enemies or players in games.
By using neural networks, Microsoft and Google have enhanced their translating applications. Their newly released AI-powered translator applications work on Android and iOS without an internet connection. The algorithm embedded in neural networking is keeping getting better to support offline functionality.
- Personalization and Performance
Artificial intelligence can be a vital part of your mobile app development to increase efficiency. It accelerates the application performance, speeds up the objective fulfillment pace, and tailors the user experience (UX) aspects at best. Personalization is the area that AI seeks to conquer, along with the other various elements.
A programmer gets immense flexibility with AI to design a more aesthetically appealing and engaging user interface. The algorithm helps produce personalized recommendations, options, anticipate future requirements, analyze user’s interest, and Global Positioning System (GPS) navigation to the application’s user.
- Increases Customer Satisfaction Level
Every design and social media marketing posts aim to attract the customer and meet their needs. Customer preference is the directing factor to lead the marketing campaigns in the right direction; otherwise, a small mistake or ignorance makes the potential buyer annoy and pique.
For instance, a customer interested in purchasing a smartphone will not expect to see a sewing machine in a search result. Making the user product finding laborious by showing them irrelevant product range annoys them.
Developing AI-based solutions cater to the users in the best capacity. Some AI tools that can be the part of mobile app development process are:
- Natural language processing (NLP) is what a developer needs if their application is customer-centric market review and assessment.
- For developing a touchless interface in a mobile app, a developer uses the speech recognition system. Google Assistant is the best example to consider which understand your voice commands and perform an action accordingly.
Virtual agents receive feedback from the online audience and help companies communicate with their customers through online channels.
- Translating in Real-Time
You can find the many applications which translate the user’s native language into a different one. These apps require a steady network connection to work well. Artificial intelligence can cut down the internet connection need and provide real-time translations in multiple languages. There are also tools AI providing for simultaneous translation in real-time. It allows a user to recognize the sentences and words. Consider Baidu as an example. A Chinese search engine that translates every word in real-time when the user is typing them.
- Recognize User’s Behavior
We get the realistic interaction relying on the user’s like when we combine natural language processing and machine learning capabilities. The combination can understand and interpret user’s behavior and offer them the nearest (sometimes exact) match of what they are trying to find.
A mobile application with such features enabled gives a very personalized experience to the user. YouTube, for instance, have this feature to identify user’s video watching preference. Based on the collected data, the platform starts recommending the user. It gives an excellent impression that user is getting things relevant to them without searching for it.
- Provides Conversational UI
For communicating better, the conversational UI is a valuable addition. It gives them the freedom to communicate with the computer in a high-level language, i.e., a language more understandable to humans. The concept of speech recognition is not new but strengthens communication through the conversational user interface.
Finance and management mobile applications incorporate this technology more generally to communicate with their users via instant messaging or voice inputs. With AI, one can also analyze the spending, balance, and payments. It also offers financial advice to the customers.
- App Authentication Becomes More Powerful
Artificial intelligence focuses on many aspects, and one crucial among those is user authentication and app security. Hacker’s communities are always quick to find a loophole in a system and prepare an attack on it through malicious code and scripts. Smartphone applications have to be proactive in the digital league with advancing their security protocols and algorithms to be defensive in real-time.
Mobile applications with AI power remain alert with the peculiarity and unusual user behavior which can trigger security threats. An AI-based defensive system can lead the mobile application to have control over the security measures more strongly.
Side-by-side with AI, machine learning, and Blockchain significantly increases the protection level among digital systems. They are the big defensive wall against bad actors. From real-time face detection to biometric verification, algorithms encompass in AI are in a whole new shape, incomparable to the old days.
Key Takeaway
Artificial intelligence holds the immense potential to solve significant problems found in today’s businesses. One can identify the customer needs when they have enough data. After understanding the requirements, you can tweak the mobile app experience more tailored to the user’s preference in terms of usability and profitability. AI takes the security responsibility and guards the app with next-level preventive and defensive measures. As AI is a collection of massive data set, the analysis and response to the threats are much faster than an ordinary human being. AI’s ability to learn from human behavior continuously makes it stronger and more robust with time.
