You have probably heard about the buzzing word AI way too often in recent times, right? Well, the potential of Artificial Intelligence is something that deserves all the buzzing going around. According to Statista report, the market size of artificial intelligence is expected to cross two trillion U.S. dollars by the year 2030. The statement is enough to declare that AI is set to revolutionize the world of businesses. So, rather than using them just as a background automation tool, we should understand the potential of Artificial Intelligence and think about how to build an AI app.

When various entrepreneurs doubt whether they should build AI apps or not, global Fortune 500 companies to startups have started investing heavily in AI. But it’s not that easy to build your own AI app. Because a simple query like how to create an AI app presents hundreds of Google results.

Thus, here is a blog containing every important detail, including a guide to building AI apps, how to reach out to the proficient AI application development team, and more.

What is Artificial Intelligence (AI)?

In layman’s terms, Artificial Intelligence is a collection of technologies, programs, and algorithms that make machines think and act like humans to get smarter outputs. But, the implementation of artificial intelligence demands a thorough knowledge of various key components such as robotics, natural language, machine learning, computer vision, predictive analytics, and more.

Along with understanding advanced logic, the development team should be equipped with various tools and technologies. So, It can guide them to write accurate logic and get smarter output for various programs like pattern recognition, image recognition, task automation, and more.

How to Build an AI App? A Complete Step-by-Step Guide

How to Build an AI Application - A Complete Guide from Planning to Launch
The use of AI in mobile applications helps you build business strategies that solve actual problems while enhancing your ROI. Thus, it is necessary to consider a few AI mobile app ideas to get started with your Artificial Intelligence app development journey.

As you are already aware of the importance of AI in app development, let’s browse through the comprehensive guide on how to build an AI app. It will help you get started with your AI application journey with ease.

Identify the Problem to Solve

The first and foremost step of your how to build AI Applications guide is identifying the problem to solve. Nowadays, just having an app idea is not enough. Because you need to determine which specific problem your app development idea will solve. Along with a series of questions such as,

1. Who will be the target audience?
2. Which type of AI algorithms are your app developers planning to implement?
3. What types of results the target audience should expect from the AI app idea?
4. What will be your USP (Unique selling proposition)?
5. Who are your competitors?

The list continues further, depending on the problem identification, requirement analysis, and more. The problem identification process to build your own AI app helps to get an accurate business idea. Along with the following questions such as figuring out the type of team you will need to build AI apps.

Pick an AI App Development Company

Thinking about how to build an AI app will stop you at the thought of picking the best partner. Even though you believe it or not, you will need the best AI app developers to develop AI applications. And you can come across many Artificial Intelligence app development companies claiming to be the best. Thus, there are certain things that you can check to make sure your AI idea is in safe hands.

1. Experience & Expertise

Before hiring AI app developers, evaluate their experience and domain expertise. The evaluation will help you get an idea of how skilled their team is and whether they are competent enough to work on your project or not.

The experienced company leverages their expertise to minimize the chances of complexity while resolving the issues easily if any arise.

2. Familiarity with Tech Stack and Trends

It’s no secret that developing an AI-powered app requires familiarity with advanced technology stacks. Along with that, a thorough understanding and familiarity with current trends helps to achieve better results. But, before finalizing the AI app development team, it’s important to ensure how well-informed and updated they are with the emerging tech stacks and trends.

3. AI Application Development Portfolio

The working portfolio of a company helps you know more about them. It helps to evaluate their actual development skills, their experience, their client base, the type of industries they serve, and more. It can help you get a clear idea of whether the team is the right choice for your idea or not.

4. Client Reviews & Feedback

Rather than just trusting the team blindly based on their words, you must evaluate their skills and proficiency by yourself to make AI app. You can ask the team to provide the list of previous clients to make sure you are in safe hands. If possible, reach out to the clients that belong to your industry; as it can help you evaluate their familiarity with your industry standards, which can maximize the chances of success.

Choose the Right AI Model

Once you connect with the AI app developers for AI app creation, you should choose the right AI model. The AI model is something that can help you make AI app that delivers accurate and effective solutions. The AI models work with a few sets of AI learning algorithms that you should be familiar with.

1. Supervised Learning Algorithm

The supervised learning algorithm helps the machine to predict the outcomes from the provided data. The supervised learning algorithm deals with the classification and regression problems that predict the outcomes in Pass/fail or deliver the outcomes in real or continuous value, respectively.

For example, If you are considering how to build an AI app with features such as image and speech recognition, recommendation systems, fraud detection, and more then it should employ the AI model with a supervised learning algorithm.

2. Unsupervised Learning Algorithm

The unsupervised learning algorithm helps the machine identify the underlying patterns from the dataset to predict the outcomes. The unsupervised learning algorithm is typically a collection of clustering, neural networks, principal component analysis, hierarchical clustering, and many more. If you thinking about how to build an AI app offering real-time accessibility, then the team of AI app developers should employ the AI model with an unsupervised learning algorithm.

3. Reinforcement Learning Algorithm

The reinforcement learning algorithm does not require labeled data or a training set, as it learns in an environment on its own. It generates the outcomes from the collections of responses to actions.

The reinforcement learning algorithm is widely used for gaming, robotics, and various other industries. Basically, a reinforcement learning algorithm is used for various industries that involve various paths to reach an end-stage. If you are thinking about how to build an AI app with interactive environment functionality, then the reinforcement learning algorithm is something that can be the perfect choice for you.

As the differences can be more technical and complex for you, so pick the proficient AI app developers that can work that out for you.

Gather and Process Data

Data is a basic necessity of any AI-powered mobile application. The accumulated data needs to be cleaned and labelled into the relevant dataset to train the dataset and maximize the output quality. The experienced team checks the data for errors, incorrect labels, missing values, and more that can move the data into the data preparation stage.

Along with that, the data preparation stage includes the process of selecting and uploading raw data, picking annotation tools, highlighting & labelling data blocks, selecting & saving file formats, and more. Typically the process helps the team to build the right data model and train them to get accurate outcomes.

Train the AI Model on the Data

After gathering accurate data, the next important step is to train the AI model and optimize the model’s performance.

The AI model training ensures the chosen algorithm is accurate enough and works well with the chosen framework. The AI model training demands training and retraining the AI model, until it delivers the desired outcomes with utmost proficiency.

AI Model Integration with Mobile Application

Once you have precisely run the AI model, it’s time to move on with AI integration. Hire app developers who can help you build mobile applications with all the much-needed features and functionalities.

But, make sure your app development team delivers you a mobile app that is enriched with amazing UI/UX app design to deliver an amazing user experience.

When you have a mobile app and a trained AI model with a precise offering; now move forward with the AI integration. This stage tests how skilful and talented your AI App Developers are when it comes to building AI apps. Thus, make sure you have a development team with enhanced knowledge and expertise to integrate applications well with the AI model.

Test & Improve The App

The QA teams come into the picture, once the AI app creation team hands over the final product. The QA team makes sure to test the existing functionalities with existing and new datasets to ensure the smooth working of the AI application.

Besides, the QA experts utilize various manual and automated testing tools to assess the model’s dependability and accuracy.

Keep in mind the AI model demands continuous rigorous testing as it deals with ever-changing datasets and constant updates.

Additionally, make sure to hire an AI app development team with proficient QA testers who can make sure the application stays relevant and in use even with constant updates and version changes.

AI Application Deployment & Maintenance

After getting a green signal from the QA team, the AI application reaches the final stage of deployment, making it available for the target audience.

Lastly, your AI application development company can deploy the app on targeted platforms. Later, you get customer feedback and make the necessary changes to enhance the user experience.

Also, keep an eye out for required updates and improvements to make sure your application runs smoothly.

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Required Tools & Technologies for AI Application Development

Categories Tools & Technologies
AI Development Languages
1. Python
2. Java
3. PHP
4. Ruby
5. Swift
6. C++
7. Kotlin
8. C#
9. HTML5
Development Frameworks
1. React Native
2. Flutter
3. TensorFlow
4. PyTorch
5. Keras
6. Scikit-Learn
Data Collection & Storage
1. Web Scraping Tools
2. Relational Databases
3. NoSQL Databases
4. Data Lakes
Machine Learning
1. Regression
2. Classification
3. Clustering Algorithms
Deep Learning
1. Neural Networks
2. Convolutional Neural Networks
3. Recurrent Neural Networks
Natural Language Processing
1. NLTK
2. SpaCy
3. Gensim
4. Transformers
Cloud
1. Amazon Web Services (AWS)
2. Google Cloud Platform (GCP)
3. Microsoft Azure
4. IBM Cloud
DevOps Tools
1. Git
2. Jenkins
3. Docker

We have tried to cover a complete set of AI application development tools and technologies. Thus, it brings us to the actual question of “How to build an AI App using these technologies.

Why is AI App Adoption Rising Across Top Industries?

AI Application Development for Top Industries
In addition to building an AI app guide, we reach another question who can benefit from Artificial Intelligence?

Many industries out there are in doubt about whether AI can be their wingman or not; several are already reaching their peak with the adoption of AI applications.

Let’s take a look at how various top industries roll up their sleeves to be the best through artificial intelligence.

1. Healthcare Industry

AI applications have been used in the healthcare industry for ages. Health professionals can concentrate more on patient care while AI helps to automate repetitive tasks. With the help of an AI app, health professionals automate tedious tasks, allowing them to focus more on patient care.

Along with this, AI adoption in operations helps doctors and surgeons assist in sensitive and complex surgeries, minimizing the chances of failures and casualties.

Such AI-integrated mobile applications help the team detect continuous patterns for unidentified diseases as well as suspicious insurance claims and more.

2. Finance Industry

AI technology is highly prevalent in the fintech industry. Banks and financial institutions use AI-powered mobile applications to enhance user experience. They hire top AI app development companies to create customized software for detecting fraud, providing financial advice, offering personalized assistance, and more.

By partnering with an AI app development team, businesses can create their own AI-based apps with innovative features like task automation, customer service, data analysis, voice assistance, language accessibility, and data verification. This helps employees focus on more.

3. Transportation Industry

Starting from driverless cars to delivery drones, AI is already paving the way towards success in the transportation industry.

Along with that, AI applications are delivering accurate results through predictive analysis, making the transportation and logistics industry more accurate, accessible, and secure.

Mobile apps that use AI can help make ride-booking better and help manage transportation assets. Many city governments are using AI to build smarter cities with better traffic management and safer roads.

4. Manufacturing Industry

Manufacturing is a complex and costly industry. But, with the help of artificial intelligence and machine learning, it is becoming more efficient and less uncertain.
Many businesses are using AI to improve their operations. They can create applications that help with warehouse tracking, inventory management, productivity, and other tasks.
AI can also be used to predict maintenance needs, optimize processes, and analyze sensor data to prevent equipment breakdowns. Overall, AI is driving innovation and helping manufacturers create successful products with increased production rates and better return on investment.

5. Cybersecurity

AI is a valuable tool in cybersecurity. It helps to prevent data theft and improve data protection. By developing an AI-powered application, businesses can manage complex tasks such as detecting suspicious activity and managing data leaks. This strengthens security systems and protects data.

AI applications are equipped with top-notch features such as identifying illegal system access, exposing system faults and weaknesses, and providing system updates.

AI is also used in other industries such as education, sports, e-commerce, and entertainment. It improves user experience and enhances business offerings. It helps them to enhance their offering and user experience.

Ready to harness the power of AI for your next app?
Let’s start building smarter and more efficient apps together.

How Much Does It Cost to Develop AI Applications?

Estimating cost to develop an app is something that they worry about the most; for any business determined enough to benefit from artificial intelligence mobile app development.

If you are looking for a simple one-word answer of how much it costs to make AI app, there is no sure-shot answer that any AI app development team offers.

Artificial intelligence mobile app development cost estimation depends on various factors. It includes everything starting from the type of AI application, features & functionalities of the application, data availability & accessibility, and more.

Along with that, various other factors of your preferred development team affect the development cost estimation. Starting from the team size, geolocation, development expertise, size of the project, required development team and various other factors affect the development cost.

Typically, the AI app development cost estimation ranges anywhere from $ 20,000 to $1,20,000 or more, depending on the complex AI algorithm requirements, algorithm training, regulatory requirements, development platform dependency, data storage dependency, annotation costs, data set costs, UI/UX design requirements and more.

You can reach out to top AI app development companies to get an accurate cost estimation considering all the factors.

How Excellent Webworld Can Help You to Build an AI App?

excellent webworld can help you to build an ai app
When it comes to building innovative AI applications, there is no better choice than Excellent Webworld. The AI app development team of Excellent Webworld has been helping businesses of various industries to enhance and automate their business processes and generate better outcomes. The team of Excellent Webworld marks all the checkboxes of being the most preferred AI app development company.

1. Proficient Team of Developers

The skilled and experienced development team of Excellent Webworld holds the expertise to deliver robust and accurate solutions enriched with unique features and functionalities. The team holds the experience and expertise to work well with complex algorithms of machine learning, computer vision, natural language processes, robotics, and more to present nothing less than a perfect AI application, just the way you have imagined it to be.

2. Full-suit AI Development Services Expertise

Just as the name suggests, The Artificial Intelligence team of Excellent Webworld delivers excellent results in every field of Artificial Intelligence. Starting from the AI development consultation to AI model integration, the team holds the expertise to develop and deliver solutions based on the client’s requirements.

3. Industry-Specific Solutions

Businesses of any size or industry can reach out to the team of Excellent Webworld to turn their development idea into reality. The development team of Excellent Webworld is proficient enough to develop industry-specific applications considering the regulations and compliances of various industries. No matter how simple or complex your development requirements can be, rely on the experts of Excellent Webworld to get the feature-rich AI applications to better serve your target audience.

4. Accessibility to Latest Technologies

Being a part of an ever-evolving industry, it is important to keep up with the latest developments. The team at Excellent Webworld keeps up-to-date with the latest development trends and technology to provide great results. They use their expertise in the latest tech trends to deliver excellent outcomes. They are always adopting the latest development techniques and learning new QA testing automation techniques to stay ahead of the curve.

5. Post Deployment Support & Assistance

No software or applications always stay relevant and in the trend without constant support and upkeeping. Thus, the development team of Excellent Webworld offers constant support and assistance. Our post-deployment support team make sure their clients’ software solutions face minimal downtime. It helps them to keep the solutions safe from any kind of cyberattack while being relevant to their target audience.

The Ending Part – AI App Development

In recent times, owning an AI application has become nothing less than a necessity for your business. We have the best suitable app development team ready for you depending on your business size and app development complexity.

Our AI application development team helps global businesses to be the best ones out there. We help them integrate all the necessary features and functionalities that represent the business with their unique USP.

If you are not sure how to get started, Let our AI App Developers guide you through AI app development to boost efficiency and drive innovation. Contact us today to get started.

Mayur Panchal

Article By

Mayur Panchal

Mayur Panchal is the CTO of Excellent Webworld. With his skills and expertise, He stays updated with industry trends and utilizes his technical expertise to address problems faced by entrepreneurs and startup owners.