How to Create an Artificial Intelligence App

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Artificial Intelligence

Artificial Intelligence isn’t a new technology. In fact, AI’s origins can be traced back to the 1950s. Nowadays, more and more industries are adopting AI technologies to simplify their workflows and maximize process efficiency. AI is used just about everywhere, from self assistants to self-driving cars. There is hardly any business sphere that wouldn’t stand to benefit by adopting an AI-enabled app solution. Artificial neural networks, big data for advanced analytics, machine learning, and deep learning algorithms revolutionize business tasks and our daily routines. Thanks to AI-powered chatbots, businesses can provide 24/7 support and solve the most commonl problems with ease. In fact, Gartner revealed that only 15% of customer interactions were human-to-human in 2020. 

Building AI-enabled systems is challenging because of rapid technological advancements. You need to be a few steps ahead of the market to hit the ground running and keep up with changes in the market. Here’s some basic information you need to know about creating artificial intelligence apps. 

What Is Artificial Intelligence?

Artificial Intelligence, or AI, is a technology that allows machines to mimic the cognitive and creative functionality of the human brain. An AI-enabled system can solve problems, train, and learn from previous experiences. These technologies are used across a range of industries. 

When speaking about AI, we are referring to machine learning in most cases. It’s a subsection of AI that deals with self-learning algorithms. 

The global market of AI technologies is growing at a blistering pace. According to Statista, the global AI market will reach $126 billion by 2025 as more and more companies in various business sectors are actively adopting AI technologies to streamline their workflows and improve services. The primary goal of AI and ML technologies is to create systems or programs that can self-train and learn. 

How Do AI Technologies Benefit Business?

AI can go to work on a wide range of business challenges at different stages of production, delivery, or product usage. With new technologies and capabilities emerging daily, AI continues to transform the business world in almost every major industry including:

  • Finance 

Fraudulent payments, sensitive information, and vulnerable bank card data are some of the most pressing issues of the fintech world. AI-powered systems can identify fraudulent actions and prevent them before they cause any serious damage. 

It’s not the only issue AI can help with. The technology can be used to create robo investment advisors. When it comes to the banking sector, AI-enabled systems can automatically analyze information for loans and make decisions in minutes. 

  • Healthcare 

Artificial intelligence and machine learning are disrupting the healthcare industry. The following technologies are second-to-none when it comes to detecting cancer cells, lymph nodes irregularities, etc. The key value of AI is its ability to collect, analyze, and process large amounts of data. 

Coupled with the Internet of Medical Things (IoMT), AI algorithms help doctors detect diseases early, make well-informed decisions, and provide better patient care. 

  • Manufacturing 

Manufacturing can also implement AI technologies to help reduce the number of manual processes, such as reviewing and controlling. The AI-enabled system can continuously analyze equipment and predict failures while reducing downtime and increasing the overall efficiency of the manufacturing process. Task automation can increase production volumes and reduce labor costs. 

  • Marketing 

Marketing deals with massive amounts of data. AI systems can reduce the time needed to process and analyze huge data sets. Apart from data analysis, AI-enabled systems can help improve the quality of marketing campaigns, strategies, and A/ B testing.

  • Cybersecurity

AI technologies are only entering the field of cybersecurity. They’re used to power up existing cybersecurity practices and shrink the attack field. Such systems have no rivals when it comes to data protection. But still, they’re not used to full capacity. Like cybersecurity specialists use AI algorithms to protect a system, hackers can also use them to break through defensive barriers and develop self-learning mutating malware that can change its structure and avoid detection. 

How to Create an Artificial Intelligence App

Developing AI apps is similar to the process of creating traditional software solutions. Here’s a basic pipeline to follow when creating an AI application:

  • Discovery and planning 
  • Data mining and modeling 
  • MVP creation and final app development 
  • Testing and maintenance 
  1. Discovery and planning 

Before setting off on your software development journey, you need to clearly understand why you need to power up your business with AI technologies. Think about the processes and functions of the app where you want to use AI, the result you want to get from it, and how your business may benefit from it. 

Then, you can create a list of requirements. Properly written and documented requirements can help your development team choose an appropriate set of tools and technologies. While planning, you will also need to consider a few more things like:

  • Choosing a development team and determining what specialists you need – business analysts, project managers, data engineers, etc. 
  • Creating a roadmap 
  • Searching for relevant data 


  1. Data mining and modeling 

As a rule, developing AI/ ML solutions requires large volumes of data that need to be collected and appropriately processed to receive an accurate model. You’ll need to check data for any errors or missing values. Only then will you be ready for data preparation. 

  1. MVP creation and final app development 

MVP can help you present your product in several versions, access its basic functionality, and the viability of the app. MVP also allows you to test your app idea faster and much cheaper than developing a fully-functioning software solution. 

  1. Testing and maintenance 

When your MVP is a success, you need to scale up your product. Once it’s ready, QA engineers will test it and ensure its bug-free performance. Then, it’s time to present your app to the world. It’s also vital to update your app and regularly update and improve the AI/ ML models. 

Summing Up 

Developing an AI app is a multi-stage process requiring specialized knowledge for particular technologies. Understanding the reasons why you need an AI app and getting the right data are the greatest challenges you need to identify before proceeding. 

At Unicsoft, our specialists are experienced at building AI apps from scratch. Contact us to discuss the details of your AI-enabled project.