Unleashing the Power of AI in Crafting Next-Generation Mobile Apps

Feb 22, 2023 0 min read 1532
Alla Kovshova Marketing Director
Tanya An-Si-Tek Technical Writer
Unleashing the Power of AI in Crafting Next-Generation Mobile Apps

In recent years, there has been an increasing introduction of artificial intelligence in the field of technology.

According to a report by MarketsandMarkets, the global AI market size was estimated to be $58.3 billion in 2021, and it is projected to reach $309.6 billion by 2026, growing at a compound annual growth rate (CAGR) of 39.7% during the forecast period. Another report by Tractica estimated the global AI software market size to be $9.5 billion in 2018, and it is expected to grow to $126 billion by 2025, representing a CAGR of 41.2%.

Due to these, the introduction of AI in the development of rich web and mobile applications is a promising direction. How to improve the application with the help of AI, we will tell below.

What is the role of AI in mobile app development?

Artificial intelligence is a technology that replaces the human brain to solve problems by making decisions and fixing problems. The basis of the work of AI is information technology and huge amounts of data that provide faster and more accurate execution of operations compared to the human brain. The field of AI integrates with machine learning, deep learning, natural language processing, neural networks, robotic automation, etc. 

AI can be used in various aspects of application development. 

  1. Natural Language Processing, NLP
    Using NLP allows applications to process and understand natural language. This might be useful for developing voice assistants, translators, and automatic responses to user questions. A well-known successful example of NLP is chat GPT which was launched in November 2022 by Open AI. 
  2. Recommender systems 
    Recommender systems can use AI to suggest the most relevant products or services to users based on their purchase history, preferences, habits, and behaviors. This is in high demand for e-commerce products.  
  3. Machine Learning, ML
    Machine learning allows applications to "learn" from data, which helps optimize algorithms and improve user experience. ML can be used for pattern recognition, data classification, mood analysis, and more. 
  4. Image processing 
    The use of AI for image processing can help develop applications for face recognition, object detection, and real-time image transformation. This technology is widely used in products from many industries: video surveillance and security, field services, radiology, agronomy, etc. 
  5. Data analysis 
    Using AI to analyze large amounts of data can help build applications that process and analyze large amounts of data in real time to provide more accurate information to users. 

However, using AI in app development requires machine learning and app development expertise. If you do not have sufficient experience in this area, you may want to turn to SDH experts who can help you integrate AI into your applications. 

Why develop applications with AI intergated in business?

Business process automation for high ROI

Business processes are being automated, making investments more profitable. Data collection and transmission, information updating, instant access to multiple systems, natural language processing, routine and digital physical tasks are performed without human intervention, while robots cope with tasks in the same way as real people, and employees would do. 

Automation of processes allows faster return on investment. The example of NASA perfectly illustrates this: the company is implementing RPA pilot projects to automate basic tasks (accounting for debit and credit balances, bookkeeping, etc.). Because of this, more than 86% of HR tasks were completed without the involvement of employees. 

Improve your service with data analytics 

AI works with algorithms that are based for patterns search to interpret the meaning. Thanks to this, it is possible to improve the quality of services in the following ways:

  • make forecasts regarding customer expectations;
  • detect abuse and criminal acts;
  • personalize the provision of services;
  • monitor in detail possible problems with safety and quality;
  • generation of accurate reports on insurance and banking data.

In particular, the collection and processing of data on customers and suppliers allow you to save on investments in the company, which was successfully used by GE in its time. 

Read also: Best Pitch Deck for Healthtech Startup: Tips & Examples

Attract more customers with AI-driven technology 

AI is indispensable in engaging employees and customers through technologies that process natural speech, apply machine learning, etc. 

  • Performing technical support duties in a chatbot;
  • Implementation on highly specialized sites with political, medical, and other topics;
  • Generation of recommendations to improve sales and personalization, increase engagement;
  • Providing recommendations to users of applications in the field of telemedicine for remote patient care.

How much does it cost to develop mobile applications with artificial intelligence? 

Obviously, writing a mobile application using AI has a higher cost than without this technology. This is due to some difficulties that arise during implementation. 

The price list is formed on the basis of the following parameters:

  • data cost;
  • pay for research;
  • pay for resources;
  • number of options in an application;
  • type of AI — process automation, machine learning, etc. ;
  • platform the application is written for;
  • use of third-party APIs;
  • the geographic location of developers. 

In general, the creation of an MVP of an AI-based mobile application will cost between $50,000 and $150,000. 

Read also: How Much Does it Cost to Create an Application?

What are the benefits of using AI in app development? 

The various ways in which AI can be used in web and mobile application development provide a number of competitive advantages: 

  • Possibility to study the user behavior model in order to predict the actions of customers, etc. 
  • Automatic response to a request, the so-called "smart answer" to a question, as in the case of Google. 
  • Fast execution of routine tasks to save the resource of employees for more complex and complex tasks.  
  • Language translation in real time. 
  • Reducing sensitivity to threats and dangers, minimizing the risk of data leakage. 
  • Recognition of human emotions. 

Development of mobile applications using AI 

Software Development Hub is a developer of web and mobile applications, including those using AI. Our specialization is IoT and cloud solutions with data collection, transmission and analysis using artificial intelligence and Big Data. The development of such solutions is preceded by theoretical studies, which we conduct together with the Department of Software Engineering and Management Information Technologies of the Kharkiv Polytechnic Institute. AI & ML division of SDH will help to use the competitive advantages of the future product to stand out from other companies and attract customers. SDH's experience in developing applications with AI allows us to implement the ideas of the customer in accordance with his business objectives.


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