This guide will walk you through what an AI app developer does, how you might develop an app using AI, and how to choose a top AI app development company to help you build the ultimate app.
AI app development is the process of creating mobile (or web) apps that use artificial intelligence to enhance the user experience.
These mobile apps typically use machine learning (ML) algorithms to provide personalized recommendations, predictive analytics, natural language processing, and other helpful features.
AI app development is becoming more popular as businesses seek ways to improve customer engagement and app retention.
With the right tools, developers can create AI-powered apps that are both intuitive and effective.
You can find the best AI app developers in our directory.
What is AI app development?
It’s the process of creating mobile or web apps that use artificial intelligence to, among other things, enhance the user experience.
These apps use machine learning algorithms to provide recommendations and use natural language processing as well as other advanced features.
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The market for this type of programming is booming and is one of the direct reasons why the best app development companies are upgrading their skill sets by developing apps and then equipping them with AI functionality.
What are the advantages of developing AI apps?
Developing AI apps affords a range of benefits, including enhanced user experiences via predictive analytics and the use of natural language processing. Tech giants such as Google, Amazon, and Microsoft are leveraging AI to better serve their customers.
Below we’ve listed some of the key advantages of developing AI apps.
Quick voice search
Most modern users want information as quickly as possible, and that’s why voice search is becoming a more popular and requested feature in mobile apps.
Voice search moves from voice recognition to understanding, and the biggest players are creating voice assistants that help customers on a daily basis.
Chatbots are able to streamline the communication between the mobile app and the user and can recognize and mimic emotions.
Using the power of artificial intelligence, interaction with AI chatbots is similar to communicating with a real consultant but comes with the added benefit of no waiting times.
AI app developer example
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AI translators are integrated into mobile apps and can play a significant role in breaking down language barriers.
AI translators are able to help people communicate with others and carry out their activities no matter where they’re from. Real-time translation technology enables mobile apps to translate various languages in a few seconds.
Content plays a key role in the performance of mobile apps, and AI-enabled apps can perform complex analytics on user data that facilitate user-friendly content.
AI uses optical character recognition (known as OCR) to convert images and translate content between languages, helping to increase an app’s reach.
A conversational UI is built using machine learning (ML) and natural language processing (NLP) technology that can enhance both the user experience and performance of apps.
Apps in customer service, ecommerce, and the healthcare domains typically use these UIs in virtual assistants and chatbots.
What does an AI development company do?
An AI development company specializes in creating mobile apps that utilize AI technology.
There are different types of AI app developers, each with their own unique set of skills and expertise.
Some AI app developers specialize in natural language processing, while others are experts in computer vision, machine learning, or predictive analytics.
There are also software solutions for developing AI apps, including the following:
- AI development platforms–These platforms enable the construction of AI apps from the ground up and feature an extensive selection of pre-built algorithms and accessible interfaces.
- AI development software–This software enables developers to create apps that utilize AI and tools, including libraries for natural language processing, computer vision, and machine learning.
- Deep learning software–This software focuses on artificial neural networks for tasks requiring human-like intelligence.
- Machine learning software–This software enables computers to learn from data by identifying patterns and relationships.
AI app builder example
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By using the assistance of AI development software, developers can create mobile apps that are more efficient and user-friendly.
How do I develop an AI app?
While you may have decided you want to hire an AI app development company and are ready to get going, you might still be curious about the app-making process and how it works.
It doesn’t hurt to give it a go before making your final decision–it’s useful to know what an AI app developer will be doing and the steps they take.
Of course, each approach will be different, so by no means take the following steps as absolute.
1. Identify ideas and problems the AI app should solve
You need to start by identifying the problems your mobile app will solve. For example, you could consider which functions inside the app will involve the use of AI and what problems that would solve as a result.
Be sure to also do the following:
- Decide the arrangement of the team; this includes everyone from project managers and business analysts to data engineers.
- Discuss your work schedule with a known professional.
- Explore the data needed to build an AI or ML model.
2. Prepare data
AI-powered apps are data-driven and require large amounts of data to function–the data must be collected and prepared beforehand.
You’ll need to verify the data for errors, missing values, or inaccurate labels and then prepare it, which includes the following steps:
- Uploading and selecting the data
- Selecting your preferred annotation tools
- Labeling and highlighting the data as suitable
- Processing the data selection and saving it
Using the collected data, you can compare solutions; the data collected is used to train the ML model.
3. Choose the type of algorithm
When deciding on the type of algorithm for your app, it’s important to consider your specific use case and the type of data you’ll be working with.
Some common types of algorithms used in AI-powered apps include decision trees, neural networks, and support vector machines. Each has its own strengths and weaknesses, so it’s important to carefully evaluate which one will work best for your needs.
If you’re unsure, consider consulting with an AI expert.
4. Choose AI language
When choosing the language for your AI-powered app, it’s important to consider the specific needs of your project and the type of data you’ll be working with. Some popular options include the following:
Each language has its own strengths and weaknesses, so it’s important to carefully evaluate which one will work best for your particular use case.
AI app developer example
5. Platform selection
When creating an AI app, developers use a variety of frameworks and APIs to create AI algorithms. Almost all major cloud platforms, for example, provide these platforms and APIs.
In other words: you’ll need to think carefully about the right design solution for you. These are the key factors that will shape your choice:
- Your preferred cloud
- Data storage location and ownership details
- The selected language limitations
- Availability of APIs in a particular region
- The cost of the AI development life-cycle
6. Design user interface
When designing the user interface for your app, it’s important to keep in mind the specific needs of your users and the type of tasks they’ll be performing.
Consider the layout and organization of the interface, as well as the color scheme and typography. It’s important to think about the accessibility of the interface too.
Consulting with a user experience (UX) designer or usability expert can be helpful in ensuring that your interface is well-designed and easy to use.
7. Create AI app
The following steps are integral parts of AI mobile app development:
- The architecture design of the solution
- The design of the user interface
- The creation of the frontend and backend
You’ll need to test your app thoroughly to ensure that it meets the needs and preferences of your target audience.
8. Test, launch, and track performance
After you’ve developed your AI-powered app, it’s important to test it to make sure it is functioning properly.
You can then launch your app and begin tracking its performance to see how it’s being received by your target audience.
Keep an eye on any user feedback and use analytics tools to monitor usage and engagement. This data can help you identify areas for improvement and make adjustments to your app to meet the needs of your users.
Be sure to stay up-to-date with the latest AI developments and continue to refine your app over time to ensure that it remains both relevant and effective.
How much does it cost to develop an AI App?
AI app development costs typically depend on the level of expertise and the features you require. Here’s a breakdown of the general costs associated with AI app development:
- Custom or Off-the-Shelf–Between $99-$300,000
- Prototype Development–Starts from $25000
- Software Cost–Between $30,000-$50,000
- Maintenance–Upwards of $320,000 per year
- Manpower–Between $25-$50/hour
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It’s always worth considering the development team’s location and the complexities of your app. These two factors can essentially decide your overall costs.
How to choose the top AI app developers?
Building an AI app is tough, and it can feel overwhelming with everything else that needs to be done. Fret not.
Several top AI app developers, operating both freelance and full-time, are available to hire, allowing you to create a high-quality app that will drive installs.
But before you choose an AI app developer (or AI software solution), here are some things you need to consider for the best chance of success.
Machine learning algorithms learn how to perform certain tasks; they generalize from examples.
Put simply, the algorithm finds a way to solve a problem without clear instructions–it makes predictions based on available data.
Voice assistant development
Voice assistant tech has been a game-changer for mobile app development as developers can now incorporate voice recognition and natural language processing into their apps to create a more seamless and user-friendly experience.
By using the power of voice assistant development, developers can create mobile apps that are smart and intuitive.
Natural language processing
Mobile app developers have been able to incorporate natural language processing into their apps with the help of voice assistant technology.
Mobile apps are able to understand and respond to user requests in a more human-like way using the power of natural language processing.
AI app developer example
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Deep learning is similar to machine learning. It uses a certain kind of model: neural networks based on the structure of the brain.
With the help of AI-powered assistants, developers can use deep learning algorithms to create mobile apps that learn from user behavior, making them more personalized and responsive.
Custom AI tools and software
These AI tools can help businesses create more intelligent and personalized experiences for their users.
By using custom AI tools and software, developers can build smarter and more effective apps that can adapt to user behavior and preferences, provide recommendations, and deliver real-time insights and analytics–this includes the use of 3D visualizations and fusions to aid development.
RPA (Robotic Process Automation)
RPA (Robotic Process Automation) improves app development processes by automating repetitive tasks. RPA is used to streamline workflows and increase efficiency during development.
RPA can be integrated with other AI tools (and software) to create more powerful solutions for brands.
List of top AI app development companies and software
You must be proficient in all things AI app development by now.
Remember: the app-making process can be challenging, and it’s always a good idea to leave it up to the pros to develop the best AI app when in doubt.
Check out our list of top AI app development companies and bring your app idea to life.