How Has AI Changed the Course of Mobile Application Development?

How Has AI Changed the Course of Mobile Application Development - Dash Technologies Inc

AI (artificial intelligence) is an extensive branch of computer science that is associated with smart machines that can perform complex tasks by learning from human intelligence. Nowadays, customers have become very demanding. Many of us might think of AI as a recent phenomenon, but it has been around since the 1950s when Arthur Samuel developed a checker-playing computer program.

Since then AI has come a long way. Advancements in AI like Siri, Cortana, Alexa, Google home, and chatbots have changed our lives drastically. From social media interactions to home automation, we can’t even imagine our lives without machine learning and AI. A major chunk of this credit goes to AI-based mobile app development.

Users uninstall mobile applications that do not have innovative features. AI has raised the bar for mobile app developers and customers expecting more from apps. Through the accumulation of data from various human interactions, AI allows businesses to understand human behavior. This understanding enables these customers to connect with brands.

The following statistics highlight the importance of AI:

  • The global AI market value is expected to reach $267 billion by 2027.
  • 37% of businesses employ AI.
  • 26% of customers admit to interacting with AI daily.
  • Global spending on AI and cognitive systems reached $57.6 billion in 2021.

The above statistics clearly state that AI plays a prominent role in people’s lives in 2022 and their importance will only grow in the future. This blog will discuss how AI has revolutionized the mobile app development industry. Let’s get straight into it.

Impact of AI on Mobile App Development Companies

As discussed above, mobile apps with basic features do not interest users anymore. Hence, mobile app developments will have to integrate AI into their mobile app development processes. Many companies adopted machine learning & AI to experience outstanding results. Now, we will discuss how AI has influenced the mobile app development industry.

1. Facial Recognition

Facial recognition is an integral aspect of Android phones these days, mainly due to the added security layer and ease of use. This technology uses AI and ML learning to recognize people’s faces, unlock the smartphone and numerous apps installed on it.

In the future, smartphone companies are planning to introduce advanced AI & ML technologies that recognize minor changes like bruises, facial hair, or changed facial expressions, etc. Be it banking, law enforcement, or healthcare, facial recognition technology can enhance security and protect sensitive information.

Even regular individuals can benefit from this technology. Facial recognition technology can restrict children’s access to mature content on the internet while detecting online threats. Some apps can even scan a person’s face, identify his illness and perform a clinical diagnosis.

2. Smartphone Apps

In the age of Instagram and Tiktok, high-quality images and videos have become the norm. Bearing this in mind, smartphone companies and custom AI mobile app development companies have stepped up their efforts. These new age AI and ML integrated cameras can detect individuals in frames, new surroundings, rough weather and other challenging situations to produce the best possible image or video.

Thanks to the ever-developing mobile app development technology, you can even obtain nutritional information related to a food item and monitor your body’s health 24/7/365. Businesses can track how their products are being used across the country/world when users post product images on social media platforms.

3. Search Engine Optimization

AI plays a crucial role for web pages, videos, images and other content to rank in customized search results. The algorithms in these AI systems have set rules that consider many factors like the types of keywords used in the content, overall user experience etc.

While these search engines may provide valuable advice on how to improve search engine rankings, they will never divulge complete information. Mobile application development companies must observe patterns and understand how AI works to improve usability.

Right now, users can rely on voice commands like – Which is the closest Mexican restaurant near my location?. Not only will the search engine provide users with relevant information but they will also direct them to the physical location of a particular business. Most importantly, AI enabled apps with the latest algorithms separate top-notch content from sub-standard quality spam. Advanced AI integrated technologies provide the required information in real-time, improving user-experience and saving their time.

4. Detecting Human Emotions

Often we say things but we mean something else. Only humans would understand that but what if machines could comprehend that too. The incorporation of AI and ML into mobile applications allows them to decipher micro and macro expressions.

These AI enabled apps notice subtle changes in human behavior like eye movements, body language, voice intonation etc. Using this information, companies can identify user requirements, demand for a particular product/service or even improve their services with feedback.

2. Time-saving

Developing products and services for customers is not an easy task. Firstly, companies must collect customer data, store it properly and then conduct a detailed analysis. Time is not a luxury while running a dynamic business. Custom AI mobile apps can speed up data collection and analysis while improving sales and customer satisfaction.

3. Real-time Translation Capabilities

The internet is flooded with translation applications but not all of them are effective. Most of them are inaccurate plus they require constant internet access. AI enabled apps in smartphones can translate/decode innumerable languages in real time and that too without any internet access.

The best part is that these AI enabled applications translate the languages instantly, without any delay like interpreters do in real time. You can also modify the tool for latency, meaning users can set the lag between a spoken word and its translation. Certain languages require more translation time than others and this latency tool can enhance/improve the quality of translation.

4. Useful Recommendations

The best way to keep your customers/users engaged is to supply them with relevant content and AI integration that can help you achieve that goal. While using eCommerce portals, you may have observed that you get additional purchase recommendations before checking out.

Your business can benefit from the same strategy. By gathering customer data and incorporating it into your algorithm, your app can recommend more products to your customers based on their buying patterns. Not only does this strategy improve conversions but it also increases customer retention. Regardless of the industry, you can use this strategy for upselling and cross-selling.

5. Empowered Apps with Chatbots

Most business websites and apps have chabots to greet customers, take their queries and interact with them. In 2022, businesses had a hard time making profits due to the after-effects of the pandemic. Chatbots are useful and cost-effective.

The cost of hiring a customer service team can be massive and they may not bring in more sales. Hence, you can instruct your developers to develop chatbots to answer FAQs or commonly asked questions. In the absence of a developer, you can even hire a mobile application development company to meet your needs.

6. Strategy Refinement & Deadline Estimation

During the development phase, all parties resort to fine parsing while choosing a feature set for software. Some features will be part of the initial release while others will be included later. Such steps can influence buying decisions. AI can help streamline a strategy for choosing the features while running simulations to understand the customer’s perspective based on their feedback. Additionally, you can even conduct competitor analysis to know what features to include now and which ones to save for later inclusion.

Developing a budget can be an uphill task for a mobile app development company, even when they have complete data sets and past projects for reference. With AI, companies can finely parse data, use project results from the past, feature sets and include developer’s feedback to set a clear-cut budget. Benefits include timely production timelines and a timely launch.

Maintenance can eat a huge chunk of your resources, especially with slipshod backend management. AI can simplify ongoing maintenance by identifying outdated features and related code to improve ongoing maintenance. As a result of this streamlined maintenance, companies can save time, money and resources.

Key Takeaways

AI and machine learning has revolutionized mobile app development while changing people’s perspective on the entire process. Along with better user experience and interaction, companies also have access to abundant AI powered resources, leading to increased productivity and global business growth.

>Moreover, AI is capable of alleviating the workflow of various organizations, regardless of their industry. No wonder companies are adopting AI, machine learning and deep learning at an alarmingly fast pace. Be it startups or giant corporations, companies are incorporating ML and AI algorithms into their mobile apps to provide advanced features for their customers. Last but not least, the constant evolution of these technologies have opened up new opportunities and markets for entrepreneurs.

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