The Impact of AI on App Development – Why Does It Progress at a Rapid Pace

AI-powered mobile phone

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Technological advancements have left a massive impact on nearly every aspect of society. So the idea of having an intelligent assistant with you at all times is not far from a dream come true. Since the turn of the century, mobile apps and user experiences have changed dramatically. Early apps offered very few features. As a result of the Smartphone revolution, however, everything has changed over the past decade.

Mobile apps and user experiences have transformed radically since the turn of the century. Moreover, new technologies such as Artificial Intelligence, Machine learning, IoT, etc., have hugely impacted the app development industry. When someone mentions artificial intelligence (AI), the first names that come to mind are probably Siri, Bixby, Cortana, or Alexa.

Recent McKinsey Global Institute reports show that Apple and Google have invested considerable dollars in artificial intelligence. Reports estimate that AI investments will reach $139 billion in 2020, more than three times invested three years ago.

Artificial intelligence has surpassed all other digital niches in popularity and momentum as a relatively new technology field. AI is now being used for niche purposes, from chatbots to data analytics to user experience design. Considering mobile apps, how will AI affect the user experience?

Artificial intelligence aims to mimic human intelligence for practical business purposes. Siri and Alexa, two digital assistants, are excellent examples of how artificial intelligence can make digital interactions intelligent and personalized. However, before we explain how AI plays a role in mobile app development and user experience design, we should define AI-first.

The Basics: What is Artificial Intelligence?

A system with AI can copy intelligent behaviour and make decisions autonomously. A branch of computer science involves using computers to perform tasks usually performed by humans, such as analyzing situations or environments, solving problems, reasoning, learning, and comprehending language.

Using the McKinsey Global Institute’s AI categories, we can divide artificial intelligence into five broad areas: vision, speech, virtual assistants, robots, and advanced machine learning. Several of the AI technologies listed above might have been adopted by 70 percent of companies by 2030, according to the research institute.

Source: Statista 

There are many possibilities for AI within the mobile space, but it can be embedded within chatbots or context-aware sensors. As a result, the number of companies implementing scalable AI strategies to create value for their customers increases.

How AI Impacting the Mobile App Development Industry

Smartphones are becoming brighter than ever before. You’re not just seeing words here! This has been made possible through artificial intelligence (AI) and machine learning (ML). Custom mobile apps can make the experience more immersive and interactive by integrating futuristic technologies. Almost every smartphone uses at least one or two apps with AI or ML features.

All industry sectors are undergoing intense competition these days, and entrepreneurs are constantly striving to satisfy the ever-changing needs of their customers. AI and machine learning can prove invaluable in attracting and retaining more customers through apps in such a challenging situation.

In 2022, AI will be among the hot trends that determine mobile app development; even though it is possible to ask a mobile application development company for in-depth information on the role AI and machine learning play in developing next-generation apps, we provide a brief overview.

Personalized Experience

In an era of growing competition, what does it take to thrive? The answer to this is a secure and customized user experience. This type of technology enables the learning process to be continued based on user behaviour data. Then, after carefully analyzing the data using algorithms, your AI-driven app can send personalized notifications and recommendations to the user’s device.

By integrating AI, you can get answers to questions such as:

  • Are your customers from a particular region?
  • What type of customer does your business most attract?
  • How do prospective customers define themselves, their style, and what they like?

With AI and ML, you can make big data work for you. ML technology has been used smartly by companies like Taco Bell, Uber, and Optimise Fitness to give customers personalized experiences.

Voice Optimization

Source: Codedesign

We cannot emphasize the importance of voice optimization in modern mobile app development. It has also brought about a more connected mobile ecosystem, making it convenient regarding accessibility and navigability. 

Gartner projects that by 2019, there will be five times as many connected devices as there were in 2014. In addition, there is now a wide range of intelligent machines in the Internet of Things (IoT), from smart TVs to smartwatches to lights and thermostats.

With homes becoming smarter, consumers prefer to use all their applications instead of switching between several different devices on a single device. By optimizing their voice, they will have a single mobile application that will work for all devices.

A single, voice-optimized mobile application interface lets users manage connected devices, such as Google Home and Amazon Alexa. 

Enhanced App User Experience (UX)

Enhancing audience engagement is the most critical aspect. The use of AI is a hot topic among developers and UX experts today. Improved customer experiences are vital due to increased user expectations and needs. The ability to analyze user behaviour and determine patterns of users’ behaviour is one way AI can improve the user experience.

With artificial intelligence, data containing numerous behavioural patterns and aspects can be analyzed intelligently, and relevant insights can be derived. In addition, designers and developers can use these insights to deliver high-quality experiences centred on the user.

Aside from this, AI technology can also support the creation of highly interactive environments or offer solutions for various problems related to user interactions through chatbots. It is anticipated that by 2025, chatbots will handle most customer interactions in several applications, including customer service.

Smart Product/Content Recommendations

Recommendation engines aren’t exactly new; however, modern users would appreciate this in their mobile apps. More than that, retail is not the only sector that can boost ROI with better suggestions. 

Additionally, recommendation engines help people find the perfect songs, games, or movies based on their preferences, the best dates for subsequent trips, the most affordable accommodations, and the most exciting places to visit, thanks to the perfectly personalized service provided by the engines.

Let’s have a look at some real-life instances,

Netflix

80% of Netflix’s TV shows are recommended by its recommendation system, saving about $1 billion. The recommendations are based on explicit and implicit data. Users’ reviews, ratings, search requests, and behaviour train Netflix’s ML algorithms (linear regression, logistic regression, etc.). Over time, algorithms learn from this behaviour and filter the content accordingly.

Facebook

Machine learning algorithms interpret a person’s Facebook profile and interests and their friends and friends of friends. This process results in Facebook suggesting profiles in the “People You May Know” section based on your interests.

Several of Facebook’s features involve machine learning, including newsfeeds, ads, and facial recognition.

Spotify

There are three stages to Spotify’s machine learning model.

  • The first collaborative filtering method involves users offering recommendations based on a personalized song list. Multiple playlists created by users are compared to create this recommendation.
  • Using a natural language processing scheme, the second one interprets lyrics, reads blog posts, and discusses happenings in the music industry. Hence, it can categorize those terms by relevance.
  • During the third stage, audio models are evaluated using music data, making suggestions based on identical music.

Marketing Benefits

As a marketing tool, mobile apps can be powerful. You can create a powerful application that promotes your business with advanced application development services. The topic of this article is the role AI and machine learning play in promoting your product or service.

In today’s competitive market, brands are battling to gain popularity. However, it is only through personalization and individualization that such a challenging situation can be overcome. That also reduces customer churn rate and increases customer loyalty. 

The AI-powered business app lets users send relevant and useful content right to their devices. According to The Relevancy Group report, nearly 38 percent of professionals use machine learning for advertising. Artificial intelligence and machine learning can also help you avoid sending unnecessary and irrelevant push notifications.

Automated Reasoning

App developers can use ML for managing the execution of simple tasks. Additionally, automated reasoning contributes to collecting insights from historical data and applying those insights to solving problems.

Using these algorithms of automated reasoning, Uber, Google Maps, and similar navigation apps enable users to reach destinations as quickly as possible using travel information.

Closing Thoughts

The mobile tech world is demonstrating a rapid acceptance of artificial intelligence. From self-driving cars to SIRI, this technology steadily empowers machines to function in a human-like fashion, from IBM’s Watson to Google’s search algorithms.

Machine Learning is forecasted to offer users a fantastic user experience with artificial intelligence on their devices. Developers, businesses, and users think differently about intelligent interactions within mobile applications due to the enhanced availability and advancement. 

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