The Ultimate FAQ about AI for Mobile Apps

Artificial Intelligence for Mobile Apps

AI began to affect the app development industry some years ago and continues to do it now.

This is an infographic showing gradually increasing investors’ interest in AI.

Artificial Intelligence VC funding


AI allows you to personalize your application and adapt it to each specific customer. That’s why a growing number of companies are using AI in their mobile applications.

For example, Taco Bell developed the Taco Bot app to take orders, make recommendations and even talk to customers.

Another example is Starbucks, with its AI-powered mobile ordering system, called My Starbucks Barista. At the beginning of 2017, the application is to be released as a beta version. The app allows orders to be processed using people’s voices and then places them in a queue.

Today, it is easier than ever for developers to build software with AI and plan go-to-market strategy for it.

Matt Bencke, CEO of Mighty AI, observes, “Unlike in years past, if you’re developing AI today, you have multiple viable choices for infrastructure and algorithms.

Thus, many companies do not neglect to apply Artificial Intelligence.

What Are the Types of Modern Mobile AI Technologies?

Because AI is quite a broad concept, it is important to explain a little about each of its types. It should also be noted that AI has its specifics for mobile applications.

The main types of modern mobile AI technologies are:

  1. Automation

Automation implies a machine doing human work. Companies use automation because computer systems are faster and more accurate than humans. Also, machines do not have to be paid.

For example, Zero is the AI-enabled mobile email system. It works as a simple email app, powered with an automatic assistant. AI assistant constitutes basic phrases (e.g. “How are you?” or “See you later”), catches spam and displays notifications when something important is about to happen.

  1. Machine learning

It is the ability of computer systems to evolve using data analysis algorithms. Machine learning requires no direct human assistance. The program can learn on its own and can draw conclusions based on its previous experiences.

Magic Keyboard is an app that corrects and predicts your writing. It analyzes tons of word chains to determine your next words.

Let’s say once you have typed “bread and milk.” The next time, as soon as you start typing “bread and …,” the program will prompt you to use the word “milk.

Magic Keyboard self-improves over time and modifies its predictive abilities.

According to the Venture Investing In Artificial Intelligence Q1 2017 report, the Machine Learning category was the most desirable for investors throughout October 2016.

Venture Investing in Artificial Intelligence


  1. Machine vision

Machine vision is the capacity of a computer to identify different objects and to perform different tasks that demand “seeing.”

LookTel Money Reader is a great example of a mobile application with machine vision technology.

It gives people with visual impairments the possibility to deal with money. Created specially for the blind, this app scans and identifies a banknote and calls out its denomination.

Machine Vision


  1. Natural language processing (NLP)

NLP gives the machine the capability to understand the meaning of written content and to create stylistically and grammatically correct structures.

The most iconic representative of this technology is a chatbot. Such companies, as Google and Facebook, have been using chatbots for years.

Chatbots can be divided into different categories. The selection of a particular chatbot depends on the needs of the company.

This picture shows the types of chatbots and provides some real life examples.



The Mezi shopping app uses NLP to learn about customers’ needs and suggests personalized recommendations. Its AI travel assistant is able to book you a flight or a hotel, as well as reserve a restaurant.

The presence of Artificial Assistant guarantees that the application will be constantly in touch with the client. Also, an Artificial Assistant accelerates the process of communication with customers, as it can quickly handle information, which otherwise would take a lot of human time.

According to the Artificial Intelligence Market Global Forecast to 2022, the compound annual growth rate of the NLP market is expected to have rapid increase from 2016 to 2022.

The forecast states that “the growing adoption of NLP in various applications such as AI-powered robots, smartphones, car-infotainment systems, navigation systems, and personal assistant systems, among others is largely driving its growth.

  1. Speech recognition

This is the computer skill to identify and translate human speech into a machine-understandable format.

Recall Apple’s Siri. Its speech recognition mechanism allows the app to understand voice commands of users. Then it can say something meaningful in response. Over time, Siri even got used to identifying users, based on their voices.

  1. Planning and scheduling

This is the aptitude of the system to automatically create a sequence of actions and assist in gradually achieving certain goals.

Calendly is an appointment setting app. It uses planning mechanisms to automatically schedule meetings with people, depending on their availability.

Which Apps Are Already Using AI?

In recent years, AI has become a very pervasive phenomenon.

Take a look at the infographic from The New Artificial Intelligence Market report, showing investments in AI by different industries.

Companies investing in AI by industry


The image illustrates that professionals from diverse spheres of human activity are interested in AI.

We have already mentioned Siri and My Starbucks Barista, Magic Keyboard and Mezi, Calendly and LookTel Money Reader. You can add Google Photos, Google Now and Apple Maps to this list.

All mobile GPS navigators work with the help of AI.

What to Expect in the Future of AI?

Future if AI


According to Gartner, one of the most important projections is that, “by 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the AI economy with disruptive business solutions.”

Regarding AI, startups will play a much bigger role than they do now. This means in the near future, the whole market won’t be the same.

Here are some more interesting forecasts:

  • By 2020, it is expected that 95 out of 100 top enterprises will use AI in their products.
  • By 2020, autonomous software agents (not controlled by humans) will participate in five percent of all economic transactions.
  • By year-end 2018, a customer digital assistant will recognize individuals by face and voice, across channels and partners.

Artificial Intelligence is already widely used in mobile app development, and we should expect AI to have an even greater impact on this industry.

Why Do You Need to Embrace Artificial Intelligence?

Why to embrace AI


In a rapidly changing world, it is crucial to remain at the forefront of technological progress.

Over the next 10 years, virtually every app, application and service will incorporate some level of AI. This will form a long-term trend that will continually evolve and expand the application of AI and machine learning for apps and services,” David Cearley, Vice President and Gartner Fellow, suggests.

Many experts consider AI as one of the hottest trends in 2017.

Gartner includes Artificial Intelligence and intelligent apps in its list of Top 10 Strategic Technology Trends for 2017.

Smart Insights tells that “a growing number of app developers are embedding AI into apps.

Likewise, Entrepreneur states that AI, embedded within apps, will become a norm.

Additionally, AI will enable its adopters to gain a competitive edge.

Retailers that make it easier for people to browse and buy with mobile devices will reap the rewards,” Henrietta Akpata, IBM customer analytics portfolio marketing manager, asserts.

AI in retail


Since the demand for mobile apps is growing, more application developers will hit the market. Artificial intelligence is a сore advantage in the fight for the consumer.

How Can Your App Benefit from Artificial Intelligence?

We will list 5 main reasons to consider AI for your mobile app.

  1. Applications with AI relieve company’s staff from spending time on routine work by automating internal processes.

The relief from unnecessary hassle gives employees the possibility to focus on first-priority issues, instead of sinking in mundane tasks.

By removing tedious internal processes, more time is given back to employees to do the job they were actually hired to do,” as Aaron Rudger, the director of product marketing at Keynote, declares.

  1. Applications with AI are more stable.

This advantage is very important because statistics suggest that the average app loses 77% of its users in the first three days.

The presence of bugs and slow application performance may lead to customers’ rejection. The Compuware report states that only 16% of users will try a failing app more than twice.

Machine learning algorithms can help you in solving this problem.

  1. The usage of AI can help provide a highly individualized experience to each consumer.

One of the hottest trends of our time is personalization. AI is able to accurately determine preferences of the audience and adjust apps to consumers’ tastes.


Profiber L’Oreal Professionnel is a great example of an application with an individual approach to each client.

Designed to diagnose hair damage, the app asks users different questions. Then, it builds the client’s hair profile and gives personalized recommendations based on it to each customer.

  1. You can create new product categories and avoid competition.

AI makes it possible to create a whole new class of products that is unparalleled in today’s digital marketplace.

Deloitte mentions the product, which once had no alternative, “Google Now, which aims to anticipate one’s need for information and provide it before being asked, is an example of another emerging category enabled by cognitive technologies: the automated virtual personal assistant.

  1. AI can boost cost efficiency of the app production process.

As said in Deloitte’s Cognitive Technologies Review, advantages of automation are more noticeable for the company than for the client.

Automation greatly reduces costs and improves resource management.


Let’s summarize the main ideas about AI and mobile app development. This is a brief list of conclusions:

  1. The biggest players in the software industry that are taking advantage of AI are Google, Apple, Facebook, Twitter, and Microsoft.
  2. Since AI allows one to personalize applications and adapt them to each specific customer, a growing number of companies are using AI in their mobile apps.
  3. Professionals from diverse spheres of human activity are enthusiastic about AI.
  4. Investors are showing gradually increasing interest in AI.
  5. Mobile apps can benefit from AI in many ways: e.g. the usage of AI can help achieve high levels of personalization.
  6. There are several ways to use AI in your mobile app:
  • Apply machine learning
  • Discover natural language processing opportunities
  • Use speech recognition
  • Get started with conversational bots
  • Implement AI assistants
  • Consider machine vision
  • Use AI planning and scheduling abilities


This post is part of our contributor series. It is written and published independently of TNW.

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