The concept of Artificial Intelligence that can think like humans and make decisions as humans go back to Greek Myths and Antiquity. Who doesn't know about Mary Shelley's Frankenstein and Karel Capek's play (R.U.R.) Rossum's Universal Robots or C3PO and R2D2 in Star Wars?

Alan Mathison Turing, an English mathematician, logician, philosopher, and computer scientist, created the Turing Test in 1950 to ask, “Can machines think?”, in his paper Computer Machinery and Intelligence. Moreover, he is widely considered the father of theoretical computer science and artificial intelligence (AI).

In 1956, the term 'Artificial Intelligence' was believed to be first coined by computer scientist John McCarthy at the Dartmouth College Summer Research Project on AI. After that, McCarthy started Project M.A.C. in 1963, which would later become the M.I.T. Artificial Intelligence Lab. The era of A.I. began realizing. Many scientists, mathematicians, physicists and even philosophers started working on A.I from then onward. Isn't it interesting that the A.I has just become a mainstream buzzword in the past couple of years, but its history goes a long way back?

As you all know, the scope of Artificial Intelligence app development is so wide as A.I targets to do almost everything that a human does, sans emotions, love and such humanly irreplaceable feelings. Indeed, Artificial Intelligence has an immense impression on our lives, society, and businesses in this digital era. Many techs and non-tech companies are taking a deep interest in integrating A.I technologies, and this is why it has become more demanding than ever.

You all will agree to me that Mobile Apps have become an integral part of our lives. Also, these apps are one of the most important tools for businesses and mobile app development companies to grow their consumer base and user base. Mobile applications are the strongest medium for Ecommerce, Customer services, visibility, User Engagement, Communication, Promotion and Accessibility for Businesses.

Hence, AI (Artificial Intelligence) is changing Mobile App Development for those converting their app ideas into reality, which involve integrating artificial intelligence and machine learning into their app development. Here, I've listed different ways how AI is transforming mobile app development process:

  • Natural Language Processing
  • ChatBots
  • Speech Recognition
  • Predictive Analysis
  • Location-Based App Suggestions
  • AI-powered Camera and Photos

Now, let's deep dive into how each of these AI technologies is transforming Mobile App development.

Different Ways How Is AI Changing Mobile App Development Process

1. Chatbots / Virtual Assistants

Chatbots and AI-based virtual assistants are slowly becoming an industry standard that is to be integrated with Mobile Apps. However, developing chatbots and AI-based virtual assistants rely on huge data and Machine Learning algorithms. As a result, AI-based Chatbots and Virtual Assistants are changing User Experience and User Engagement on Mobile Apps. Mobile App Development companies and developers who want to provide excellent user experience and customer support to their users through AI-based chatbots have seen great user satisfaction.

With AI-based chatbots in Mobile Apps, upto 75% to 85% of conversation can be done human-less. Also, AI app development companies can use the same Human Resources for more exciting tasks. Many of us might already be experiencing AI-based chatbots of our different apps, including banking, ecommerce, and financial.

2. NLP (Natural Language Processing)

Natural Language Processing, aka, NLP is the branch of Artificial Intelligence that is the basis of AI-based chatbots and virtual assistants in Mobile Apps and other platforms. Moreover, chatbots are highly dependent on a Natural Language Processing engine that parses complex human language into a language that machines or computers can understand and learn from. With a better NLP engine, you can get better accuracy of Human language processing by machines.

3. Audio Recognition

The biggest examples of AI-based speech recognition systems are Google Voice Assistant and Apple’s Siri that help Mobile App users search and take certain actions on their Mobile devices. These AI-powered speech recognition systems can search the internet, make calls, send messages, open apps, play songs, schedule, remind and give calendar events. It also answers many questions like what’s the weather and more without typing a word. So, yes, Voice recognition is a part of speech recognition.

The mobile apps using speech recognition give a great accuracy in identifying the person speaking and sending commands. Don't forget that Microsoft Cortana, Alexa Echo, Google Home, Samsung Bixby AI-based speech recognition in its Mobile App, and other smart devices are also becoming more popular daily.

4. Predictive Analysis

You must have experienced auto-recommendations on your Mobile App especially, apps like Google Search, Facebook, WhatsApp, and many more; when you start typing, you get recommendations. This is because these Mobile Apps tend to predict text for you based on the past inputs that you have made. Our smartphone keyboards are powered by AI (Artificial Intelligence) and ML (Machine Learning) algorithms that do predictive analysis based on past data and recommend the next text that you want to type.

OpenAI, a non-profit AI research organization, has recently introduced its model called GPT-2, which can write content like humans. The Predictive Analysis model of AI predicts the next word or even a full-length article once you give it a sentence as a topic.

5. Location-Based App Suggestions

If you have ever used Google Maps' nearby feature, you know what I am talking about. These types of Mobile app suggestions based on location are powered by an Artificial Intelligence (AI) engine that works under the cover. The Mobile App gets the user's location as input, and the AI engine integrated with the Mobile App searches for the nearby locations based on your input interest and suggests you the locations. The Machine Learning algorithm learns what you like through your data and activities. Moreover, it gives you suggestions based on your location from your Mobile App.

6. AI-Powered Camera and Photos

For Mobile apps with a large user base, how difficult would it be to classify inputs by each user?

Imagine if that requires to be done by human staff, how many people will be needed 24*7 to classify each input by user. Images on Social Media Apps need to be classified to protect the platform from offensive, objective, and similar materials. This is not possible with human involvement. Thanks to AI and ML, it has become so easy that an image can be classified and stopped getting published in a matter of seconds.


The biggest takeaway is that Artificial Intelligence is transforming the Mobile App Development process. Also, the companies, businesses and mobile app developers are leveraging ML and AI platforms with the help of Data Science. Moreover, the Mobile App Development will be done by keeping the AI technologies in mind to have a much better and more personalized experience. Indeed, the future Mobile Apps are surely going to be much more powerful with the help of Artificial Intelligence.

Author's Bio: 

Divya is an outstanding writer at Nimble AppGenie. She is very innovative with her creative ideas. She is very passionate with technology implementation in several industry verticals and always keen to learn new opportunities that brings business efficiency and profitability.

Whereas, Nimble AppGenie is an expert in developing solutions for Healthcare, FinTech, and EdTech. Nimble AppGenie is helping small-large scale enterprises by providing innovative solutions that excel in the market.