AI in App Development: How, and Why Does It Matter?

Artificial Intelligence has changed the way we live and work. AI in mobile apps has long been a helping hand in maintaining the level of competitiveness in the market and encouraging expansion. In light of this, business owners are eager to use AI in app development. 

Considering the technology’s relative popularity and use, the worldwide AI industry is projected to reach $826 billion by 2030. By using AI in app development, you can make apps that are smarter and more user-friendly to adapt to evolving needs and distinguish oneself from the crowded market. 

Benefits of AI in App Development

Many of us find it challenging to understand how implementing AI in app development can benefit us. But don’t worry. We have addressed this concern. Here are a few benefits of AI in app development that will give you a competitive edge in the market. 

1. Automation

Automation of repetitive tasks and reduction of human effort are two benefits of using AI in app development in conjunction with enterprise software for managing day-to-day business operations. At the end of the day, this system leaves no room for error and gives very accurate results, which is very important when working with enormous data.

86% of the jobs in HR could be done without any help from a person. Now, NASA wants to send more RPA bots into space that have an advanced level of intelligence than ever before.

2. Increased Efficiency

We all have this question, “How is AI improving app efficiency?” Well, the answer is quite simple. AI in app development can be quite helpful if you need to study user behavior to create a successful marketing plan. No mobile app can provide helpful data analytics unless it can understand user behavior patterns. However, using AI for app personalization can reliably record user activity.

To tailor search results to individual users, the Netflix app leverages artificial intelligence algorithms to learn about its users’ habits of browsing and interests. Therefore, build an app in AI greatly helps in improving personalized recommendations.

3. Conversational UI

Mobile apps with interactive features are very popular with current users. Conversational UI apps, like Duolingo, Google Assistant, Alexa, and many more, make the experience feel like you’re having a real discussion. With the help of this feature, mobile apps can easily and effectively connect users, creating a positive user experience.

In fact, chatbots have cut down on the need for staffing, which has led to a 65% to 70% drop in running costs.

AI-Powered App Development Tools

Artificial intelligence has been quickly developing and changing from the day of its invention till today. Here are the tools to build an app with AI increase your mobile app’s efficiency.

1. Tensorflow

Built on top of deep-learning neural networks, TensorFlow is a free and open-source machine-learning framework. In essence, it uses a shared symbol to integrate deep learning and machine learning algorithms. C++ allows you to run mobile applications, while TensorFlow is built on Python. Making design simpler enables advanced mobile app development services; it’s an AI for app design and user experience.

Features

• Capabilities for Advanced Natural Language Processing: Improve your mobile app’s functionality using TensorFlow’s powerful natural language processing (NLP) features, including product, people, or text recognition in images.

• Effective Training of Models: TensorFlow guarantees effective and efficient model development by letting developers train machine learning models quickly and efficiently.

2. Core ML

Apple released Core ML in June 2017 as a machine learning system that puts the device’s own machine learning ahead of third-party cloud services. The goal was to protect user data. With this great tool, you can make smart iOS apps with features that were unimaginable just a year ago. You can use this AI tool in two ways: through top-level APIs or by directly adding its features to your AI app development.

Features

• Natural Language Framework: The Natural Language Framework is a tool for analyzing text, phrases, or words written in natural language. It can break down the text into paragraphs and assign tags to each paragraph.

• Sound Analysis Framework: The Sound Analysis Framework is a tool for analyzing audio and distinguishing between various types of noise, such as birdsong and traffic.

• Speech Framework: You can use the Speech Framework to identify speakers of several languages in both live and recorded video.

• Detection and Identification Functionalities: Core ML has many capabilities that you can use to further develop and improve your iOS mobile application, including text and barcode detection, face and language recognition, and script and language translation.

3. OpenCV

Whether you want to need AI for Android or iOS app development services, you can embed OpenCV. It’s basically a free and open-source platform that can be used to create real-time computer vision apps. In simple words, it means that computers can use computer vision to recognize and understand people and objects in still shots and moving films. 

Features

• Processing Algorithms for Visual Media: Object detection is only one of several image and video processing algorithms and services offered.

• Advanced Algorithms for Computer Vision: Put computer vision methods to use, such as those for 3D reconstruction, object recognition, and face identification.

• Integration with Well-Known ML Libraries: Use models for computer vision problems by integrating with major machine learning frameworks like TensorFlow and Caffe.

• Support for Multiple Platforms: The ability to work with several operating systems is essential.

4. ML Kit

Developers can take use of Google’s on-device ML expertise with the ML Kit, a mobile SDK, to create intelligent apps for both iOS app development services. The free and easy-to-use Vision and Natural Language APIs, driven by Google’s advanced machine learning models, can help you solve common app issues and create seamless user experiences.

This AI tool for app development can also be launched by app developers using Firebase. You have the freedom to pick the best match for your needs since the solution offers both cloud and on-device APIs in a user-friendly interface.

Features

• Vision: These application programming interfaces (APIs) are used to analyze images and videos in order identify barcodes, segment selfies, detect face detection, label images, and detect texts.

• Natural languages: These APIs are used to recognize and translate text in 58 different languages, as well as to provide answer recommendations.

• Custom development: AutoML Vision Edge and TensorFlow Lite are two options for building models; another is to import your models, run tests on them, and finally deploy them using ML Kit.

5. ChatGPT

ChatGPT has become one of the most popular AI tools for making mobile apps because it is so good at understanding natural language. During chats, it takes an active role by answering questions, summarizing, and even writing code. ChatGPT also has a large group of users and developers who get together regularly to share and talk about useful information. For that reason, it becomes easier to both learn and get help. The AI tool for mobile app development is continuously updated to increase speed and add new features.

Features

• Natural Language Understanding and Chatbot Development: Excels at understanding and translating human language to create intelligent chatbots and interactive interfaces.

• Content Generation: Produces excellent material for marketing copy, stories, and articles among other uses.

• Generation and Explanation for Codes: Creates code depending on natural language directions, explains code fragments, and makes recommendations.

• Support for Languages: Supports many languages so that developers can produce multilingual applications promoting cross-cultural communication.

Innvonix: Your Next AI Mobile App Developer!

Examples of AI in app development are numerous and impactful. AI helps Instagram users engage more by making their feeds more relevant to their interests. Uber’s income went up with a revenue of 37.2 billion in 2023 when AI was used to match riders and find the best routes. Moreover, with the help of AI, Amazon can boost its conversion rate by 42% by giving each customer a personalized shopping experience.

As a result, it is evident that the future of AI in apps is promising when considering the benefits of adopting it.

If you want to build an app with AI, you can hire AI developers from Intellonix. Differentiate yourself from the competition by incorporating the latest AI technology. Get in touch with us and tell us what you need from a reliable AI app development service. We are well-versed in creating forefront mobile applications that make use of cutting-edge technology like AI, ML, and the IoT.