When talking about AI and ML, many of us were like, people like us have nothing to do with it. But we urge you to take a closer look at this. Without even realizing it, you are surrounded by AI and ML in your day to day life. A growing number of smart gadgets have made almost every home smarter. Let me show you a very simple example of artificial intelligence in our daily lives.
Every day we wake up to our phones. Most of us use facial recognition to unlock them. But how does that happen? Artificial intelligence, of course. Now you see how AI and ML are everywhere around us. We make use of them in different ways even without knowing their presence. Yes, these are the complex technologies that make our lives simpler.
Another daily life example is email. As we use our email on a daily basis, artificial intelligence filters out spam emails to our spam or trash folders, allowing us to view only the filtered messages. It is estimated that Gmail’s filtering capacity is 99.9%.
Since AI and ML are quite common throughout our lives, have you ever considered how it would actually be if they were integrated into the mobile applications that we use so often! Sounds interesting, right? But the fact is that this has already been implemented in many mobile apps.
How AI and ML should be incorporated into mobile apps
In terms of how you can infuse AI/ML in your mobile application, you have three options. Mobile app developers can make use of artificial intelligence and machine learning to enhance their apps in 3 major ways to make them more efficient, smart, and user-friendly.
AI refers to the process of getting computers to solve problems based on their reasoning. A facility like this proves that artificial intelligence can beat a human at chess and how Uber is able to optimize routes to save its app users time.
In the mobile app industry, this is one of the most common uses of machine learning and artificial intelligence. Top brands on the planet such as Flipkart, Amazon, and Netflix, among others, have made their success based on providing users with insights into what they would need next through AI-enabled technology.
Artificial intelligence can set new frontiers by learning user behavior in the app. If someone steals your data and impersonates any online transaction without your knowledge, the AI system can track this suspicious behavior and terminate the transaction on the spot.
Why AI and Machine Learning In Mobile Apps
There are a number of reasons to incorporate artificial intelligence and machine learning in your mobile application. It not only enhances the functionality level of your app but also opens up a door of million opportunities to grow in the future too. Here are the top 10 reasons for you to go advanced with AI and ML:
An AI algorithm embedded in your mobile app should have the ability to analyze and interpret data from various sources, from social networks to credit ratings, and generate suggestions for every user. It can help you learn:
What type of users do you have?
What are their preferences and likes?
What are their budgets?
Based on this information, you can assess the behavior of each user and can utilize this data for target marketing. Through machine learning, you will be able to provide your users and potential users with more relevant & appealing content and create the impression that your AI-infused app technologies are specifically tailored to their needs.
2. Advanced search
Search algorithms can retrieve all user data, including search histories and typical actions. When combined with behavioral data and search requests, this data can be used to rank your products and services and provide the most relevant results to customers. Enhanced performance can be achieved by upgrading features such as gesture search or incorporating voice search. Users of the app experience AI and ML searches in a more contextual and intuitive manner. According to the unique queries put forth by users, the algorithms prioritize the results accordingly.
3. Forecasting user behavior
Marketers can benefit greatly from AI & ML-enabled app development by gaining a deeper understanding of users’ preferences and behavior based on data such as gender, age, location, app usage frequency, search histories, etc. Your marketing efforts will be more effective if you know this information.
4. More relevant ads
The only way to beat the competition in this ever-expanding consumer market is to customize every user experience. Mobile apps using ML can eliminate the process of disturbing users by presenting them with items and services they’re not interested in. Rather, you can make ads that appeal to the unique likes and needs of each user. Today, companies that develop machine learning apps are able to merge data smartly, saving both time and money spent on inappropriate advertising and enhancing the brand reputation.
5. Better security level
Aside from being a powerful marketing tool, machine learning & artificial intelligence can also enable automation & security for mobile apps. A smart device with audio and image recognition allows users to set up their biometric information as a security authentication step. Privacy and security is a major concern for every individual. Hence they always choose a mobile application where all their details are safe and secure as well. So providing an enhanced security level is an advantage.
6. Facial recognition
Apple introduced the first face ID system in 2017 to increase user security and satisfaction. In the past, facial recognition had many issues, such as light sensitivity, and it could not identify anyone if their appearance changed, such as if they put spectacles on or grow a beard. Apple iPhone X has an AI-based face recognition algorithm combined with Apple’s elaborate hardware. AI and ML work on facial recognition in mobile apps based on a set of features that are stored in the database. AI-powered software can instantly search databases of faces and compare them with one or more faces detected in a scene. It, therefore, comes with enhanced features and functionality. So now, users can easily use the facial recognition feature in their mobile app regardless of their appearance.
7. Chatbots and automatic replies
Nowadays most mobile applications make use of AI-powered chatbots to provide quick support to their customers. This can actually save time and the companies can cut off the difficulty of the customer support team in answering the repeated questions. Developing an AI chatbot will help you to feed the frequently asked queries and the most probable queries in your mobile app. So that whenever a customer raises a query, the chatbot can immediately respond to the same.
8. Language translators
AI-enabled translators can be integrated into your mobile apps with the help of AI technology. Even if there are a number of language translators available in the market, the feature that helps AI-enabled translators to stand out from them is nothing but their ability to work offline. You can instantly translate any language in real-time without much hassle. Also, the various dialects of a particular language can be identified and can be effectively translated to your desired language.
9. Fraud detection
All industries, especially banking and finance, are concerned about fraud cases. This problem is resolved by using machine learning, which reduces loan defaults, fraud checks, credit card fraud, and more. A credit score also enables you to evaluate a person’s ability to repay a loan and how risky it is to give them one.
10. User experience
The use of AI development services makes it possible for organizations to offer a range of features and services to their customers. This itself attracts customers to your mobile app. People always go for mobile applications that have a number of features with minimum complexity. Providing a better user experience will your business better reach and thereby the user engagement will be accelerated.
Have a look at the outcomes of this integration process
It is sure that adding an extra feature or an advanced technology to the mobile app will cost you more during the development time. Development cost is directly proportional to the advanced features assembled in the application. Hence before spending the money, you should be bothered about the outcome it is going to generate. Here are the benefits of AI and ML in your mobile app:
- Artificial intelligence can help you complete repetitive tasks more quickly
- Accuracy and completeness
- Improved customer experiences
- Intelligent interactions with the users
- Retention of customers.
The Top Platforms that allow you to develop mobile apps with AI & ML
See how AI and ML are implemented in the mobile apps we use on a daily basis
The Zomato platform has built several machine learning models to address a variety of real-time challenges such as menu digitization, personalized homepage restaurant listings, predicting food preparation time, enhancing road detection, active driver-partner dispatch, driver-partner grooming audit, compliance, and more.
Uber offers its users an estimated arrival time (ETA) and cost based on machine learning.
Optimize Fitness is a sports app that provides tailored workout programs based on genetic and sensor data.
Sigosoft can now leverage AI/ML capabilities in its mobile applications – Let’s find out how and where!
Here at Sigosoft, we develop a wide range of mobile applications that suits your business type. All these mobile apps are developed in such a way that they feature the most advanced and modern mobile technologies. To provide our clients with the best possible experience and accelerate their revenue, we incorporate AI and ML into every mobile app we develop.
OTT platforms and mobile apps for e-commerce take the lead when it comes to integrating AI and machine learning. These are the most prevalent domains where AI/ML is used. No matter what business you are in, recommendation engines play a critical role. Artificial intelligence and machine learning are therefore essential.
For e-commerce mobile apps, in order to present our users with useful product suggestions, we use AI and ML techniques.
When it comes to OTT platforms, we use these technologies for exactly the same purpose – recommendation. The techniques we use are aimed at engaging users with the shows and programs they prefer.
In telemedicine mobile apps, we use AI and ML to keep track of the patient’s chronic conditions based on the data collected.
In food delivery apps, these technologies are employed for several uses such as location tracking, restaurant listing according to one’s preferences, predicting food preparation time, and many more.
E-learning apps rely heavily on artificial intelligence and machine learning to produce smart content and provide personalized learning.
It is clear that AI and ML can do a lot for us in all aspects. Having artificial intelligence and machine learning as part of your mobile app can unlock a host of possibilities for you to improve. And, in turn, increase revenue generation. Artificial intelligence and machine learning will undoubtedly play an integral role in future mobile applications. Do it now and explore the world of possibilities. Here at Sigosoft, you can develop mobile applications that fit your budget with all the advanced features assembled in them. Reach out to us and experience completely tailored mobile app development processes for your next project.