Many apps are transforming the way we live. Mobile app development is booming in the health, financial, and food sectors. According to Statista, in the first quarter of 2020, there were more than 4 million apps for Android and iOS.
The competition in the mobile app market is growing. Developers are exploring ways to enhance the customer experience using artificial intelligence and data science solutions. The introduction to AI has made everything evolve and change faster.
AI is at the foundation of technological development and transformation. App development is one of the areas where AI is driving the evolution of customer experience.
Mobile apps have made a change in the computer science world, especially with the presence of AI. AI applications in mobile apps help make user interactions engaging and learn more about the customers. That includes image analysis, self-learning, security, data processing.
According to statista.com the worldwide market worth of Artificial Intelligence is going to cross $89 Billion by 2025. It plays a key role in mobile app development which enables you to develop intelligent applications that can transform and ease human needs.
AI helps you understand your user behavior based on their previous shopping patterns. So, you can customize your app to meet user expectations and needs, which allows you to enhance user engagement and retention. This provides you an opportunity to stand out from your competitors and help you grow your business.
Artificial Intelligence and Machine Learning
Machine learning technologies and learning algorithms (Machine Learning, ML) start and ease the cognitive system's functioning during engagement and learning processes. Development uses Artificial Intelligence (AI) to learn about the user's behavior, habits, and other personal aspects. As a result, apps become more interactive and offer intuitive experiences to users.
Artificial Intelligence and Machine Learning are much trending and also confused terms nowadays. Machine Learning (ML) is a subset of Artificial Intelligence. ML is a science of designing and applying algorithms that are able to learn things from past cases. If some behaviour exists in past, then you may predict if it can happen again. Means if there are no past cases then there is no prediction.
There are a few main areas in which Artificial Intelligence and data science in Fintech contributes to the transformation of app development. They are customization, personalization, voice recognition, predictive analysis and messaging, and context-aware computing.
Advantages of Using AI in Mobile App Development
Mobile app developers and marketers are closer to understanding user behavior. That comes from actions, preferences, purchases, etc.
Deep learning is a science that involves the ability to "teach" machines to recognize these actions, and then apply this "knowledge" to solve various complex queries. It allows us to study user behavior models. Also, it is making interaction with them personalized and smooth.
The main advantages of Artificial intelligence (AI) in mobile app development:
- Quick search
Modern users want to get the information they need as and as possible. As a result, voice search is becoming a trend. Siri and Cortana - have become a great addition to the general search on the Internet.
Today, voice search moves from voice recognition to voice understanding. Companies get nearer to their goal to transform voice search into “an assistant that helps you with your daily".
Optimizing websites for voice search is becoming a necessity. Soon, it will become an essential element of user experience and search engine ranking.
2. Effective communication
Chatbots help streamline communication between the mobile app and the user. Based on artificial intelligence technology, chatbots are learning to recognize and mimic emotions that are difficult to distinguish from human ones.
More and more online users interact with mobile apps and websites through chatbots. Thanks to the introduction of artificial intelligence, interaction with chatbots will become like communicating with a real consultant in a regular store.
These are AI-powered bots that can interact with users as humans do. They learn from previous experiences. The basic idea behind this is that if humans don’t want to interact with someone other than humans, they can use these chatbots.
3. Quality user experience
Artificial intelligence makes user interactions in mobile apps more intuitive and personalized. AI-powered sentiment analysis used in mobile app development can interpret a user's emotions. It can understand his opinion about the product/service/information.
Moreover, AI-infused technologies such as NLP, image, and intelligent character recognition help enterprises gain customer loyalty. It achieves that through automating manual work. For example, AI-powered OCR makes banking apps more efficient and simplifies transactions.
4. It Enables You To Work For Prolonged Hours Without Sacrificing Efficiency
Sometimes there are some rigorous tasks that require a longer time span to work on for example fuel investigation or mining process. Smart robots can be created who can be programmed to perform for long hours without getting tired.
5. Conversational UI
With Artificial Intelligence in Mobile App Development the CUI increases that make your app performance much better than before. You may have seen numbers of chatbots open in front of you that support greater customer satisfaction. This offers clients to share their queries with their customers what they need.
6. Improve Daily Operations
With Artificial Intelligence technology, mobile applications get significant value in creating advanced features that simply eliminate the everyday risk and task of apps. This also improves the learning experience of developers so the user can feel great pleasure.
For example, the app is about travel, with the help of AI the user can see the different places and tourist destinations. Even this helps to discover medical tourism smartly.
Why use AI in Mobile App Development?
Back in 2016, 71% of consumers said they wanted more personalized advertising. Many free mobile apps rely on advertising to generate revenue. AI takes the advertising experience to the next level by analyzing content data and optimizing ads to fit users' interests.
For example, companies such as Amazon and Netflix are already using it to reach specific customers. One such technique is dynamic creative optimization. The algorithm produces ads that will interact with a specific user. It produces ads according to their demographic indicators, location, and previous interaction experiences.
So mobile apps. AI can know what users are looking for, but also how they are using their apps. Developers can use this information to make improvements for better user engagement.
Today, Artificial Intelligence and Machine Learning are seen as part of the everyday life of large organizations in various fields. The rapid pace of AI development – achievements in unmanned aerial vehicles, the ability to beat humans at chess and poker, automated customer service and analytical systems – shows that AI is a revolutionary technology designed to change the way people use devices and conduct business.
The appearance of intelligent machines capable of solving difficult problems in a way that only humans could previously hasn’t gone unnoticed. From the day of its invention until now, AI technology has been evolving and improving. Due to its ability to learn, AI is widely used in many spheres. Particular applications of AI include expert systems, Speech Recognition, Machine Learning, and Machine Vision.
According to the 2019 CIO Survey by Gartner, the number of companies implementing AI technologies in some form has grown by 270 percent in the past four years.
Examples of AI-Powered Mobile Apps
Artificial intelligence boosts the revenue of mobile apps. In 5 years the AI software market worldwide is set to grow to $126 billion. And these are the most understated forecasts.
According to popular analytical publications, several hundred of the world's largest app development companies are implementing computer vision. They also install machine learning to expand their reach and grow revenues. Here are some ideas for AI-powered mobile apps.
Health and Nutrition Apps
AI-powered predictive analytics collects user data, analyzes it, and draws valuable insights. Predictions become more accurate with more data fed into the mobile app. Nutrition apps can simplify calorie counting and logging of meals by adding food recognition technology.
AI-powered apps can analyze sleep patterns, workout routines, and recommend adjusting lifestyle based on the predictions they make. The mobile health market is growing, and with the development of telemedicine, apps that focus on recognizing and predicting symptoms will gain more popularity.
Recommendation Mobile Apps
Popular apps use artificial intelligence to measure user behavior and provide them with personalized product recommendations. Whether it is an e-commerce app or a travel app, it helps customers quickly find what they need.
Recommendations help reduce cart abandonment, increase revenue, and drive upselling. AI-powered technology analyzes user preferences and suggests what to buy, read, or watch next. Users love recommendations because they help them save plenty of time searching for products or services.
AI in Gaming Mobile Apps
As an example, take a project such as AlphaGo, which is based on the general principles of machine learning and can beat the most powerful gamers. When developing AlphaGo, the authors used only the most elementary theory of the game. The program reached a high level of play, learning independently of many professionals. The development team plans to apply AlphaGo's expertise to develop medical diagnostics.
Siri is based on speech inquiries and a natural language user experience. This AI-powered voice assistant will make phone calls, send text messages, answer queries, and make recommendations. Siri learns from its users’ language usage, queries, and expectations over time.
Fyle is an AI-powered expense tracking programme that is available for PC, Android, and iOS. Fyle is a significant player in smart expenditure accounting, and it has announced direct connectivity with Google G Suite and Microsoft Office 365.
Fyle is used by companies like Royal Enfield and Communicorp because it offers useful features like real-time data extraction, trying to report operating expenses, business card tracking, real-time decision evaluations, compliance business processes, travel improvements, travel requests, research, and assimilation with important transport management, HRMS, accounting, and ERP apps.
Experts Have Developed an Application for Testing AI On Android Smartphones
Specialists in the fields of machine learning computer vision have created a mobile app that evaluates smartphones' performance for working with artificial intelligence in real-time. The test results will be useful to AI researchers, component manufacturers, and Android developers.
Thanks to the information received, they will be able to find out and correct the shortcomings of the devices to improve the efficiency of their work with AI. It will have a positive effect on Android app development.
The amalgam of technology and science in the form of artificial intelligence has changed the way we look at mobile apps. Using and implementing human intelligence and behavior in the app has enhanced user experience and made app usage more enjoyable.
Why Outsource AI Software Development for Mobile Apps?
Here are three steps to create your AI-powered mobile app:
- Come up with an idea that solves the specific problem of your target audience.
- Explore the market to see how others are implementing AI-based architecture.
- Choose a Data Science vendor that can offer you a customized end-to-end solution.
Outsourcing data science is the most cost-effective and efficient option for mobile app developers. It allows the developer to focus on the app creation process, UX/ UI, and marketing. At the same time, data scientists work on gathering the data, training models, and developing solutions to transform the app with AI-powered technologies.
Having an in-house Data Science team can cost over $300,000 a year. With the scarcity of talent, it can take up to a year to find a qualified Data Scientist.
You can kick start your AI-driven mobile app development with the least investment. That is the case if you outsource Data Science. You will receive a high ROI from infusing artificial intelligence. In the end, it will make it worth it.
Outsourcing also lets businesses gain access to highly skilled employees from whom in-house employees may learn about new information and best practices.
Mobile app services include creating or developing programs for apps on handheld or mobile devices. Handheld devices include mobile or cellular phones, enterprise digital assistants, and personal digital assistants.
The programs or software for the mobile apps are installed during the manufacturing process. These apps may also be downloaded from mobile app distribution platforms onto the handheld device, and they may also be accessed as web programs delivered using HTTP.
Services for the development of mobile apps are becoming increasingly important for thousands of businesses. That’s because these apps or software for handheld and mobile devices can lead to more opportunities for increased revenues and productivity. Enterprises can also achieve more exposure and be introduced to new markets and new clients.
AI has now made its way into the real world, beyond business apps, and is being utilized in smartphones and web-based applications. AI-enabled apps are increasingly being embedded in the consumer market iOS and Android mobile operating systems. The increasing prevalence of smartphones is becoming a critical driving force in the development of powerful AI apps.