How Is AI Improving Mobile App Development?

Over the last couple of years, artificial intelligence (AI) apps have made a notable impression, generating many trends among users and developers. AI has left its mark on almost every recognizable mobile app development niche, including chatbots, content creation and face filters.

This guide lists 7 AI features that every mobile app development agency in Chicago recommends:

1. Process large data in seconds
2. Make predictions and forecasts
3. Use face recognition features
4. Capitalize on voice recognition
5. Use object detection for tasks
6. Enhance customer experience
7. Unlock people’s creative side

There’s a lot to discuss, so get ready to take notes.

Let’s go!

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7 Ways AI Features Are Shaping the Future of App Development

The hyperbole around apps is not all talk. In fact, every mobile app development agency in Chicago is anticipating an uptick in their projects over the coming years, because this trend is just starting to take shape. Especially in regards to AI, experts and developers will be in demand.

Hiring a mobile app developer aside, the first step to making your app ideas a reality is knowing what features you want them to have. There is no better place to begin looking other than at the critical AI features that are taking the app development industry by storm. Here are seven of the current best ones:

     1. Process Large Data in Seconds

AI excels at processing data — massive blocks of data, in fact — at speeds that human analysts cannot possibly replicate. Moreover, part of what makes AI-powered analysis invaluable is that it offers greater insight into data trends. It can break down for you, what works and what does not.

Apps of this kind are invaluable for business owners who must make critical decisions based on verifiable and data-driven evidence. The application of AI in these apps makes them highly effective in that regard, particularly for people with sensitive timeframes. 

     2. Make Predictions and Forecasts

Some developers like to extend their AI app’s analytic capabilities by adding predictive features. A well-made AI model can correctly and accurately predict changes by identifying data trends and patterns, allowing users to make more grounded business choices.

Relying on AI is also a trending investment practice. Using machine learning (ML), AI processes historical market data and tracks real-time market shifts to make intelligent trade decisions, such as when to buy or sell. Additionally, it can also generate stock portfolios for different levels of risk tolerance.

     3. Use Face Recognition Features

In 2022, AI apps made a huge impression on the broader consumer market, partly due to social media and image filters, and partly due to generative tools. Conversely, it also entered the public consciousness through controversies, such as ethically sourcing training data for the AI models.

Face recognition (itself an application of AI) is not new. In 2010, Facebook implemented a feature to help users find photos of themselves. In 2017, Apple added Face ID as a security feature for its users. The technology has many broad applications, including tracking attendance.

     4. Capitalize on Voice Recognition

Integrating voice recognition into website search is one commonly suggested SEO feature that overlaps with AI. Voice search is one application. Voice recognition, however, has a much broader scope of potential use cases, such as virtual assistants, language practice, and dictation.

Writing through voice is extremely important for sectors of society where documentation plays a vital role. For instance, doctors greatly benefit from speech-to-text. It frees their hands, permitting them to focus on providing quality care.  

     5. Use Object Detection for Tasks

Rote tasks are prime candidates for AI automation, because they remove the interference of human error. You might say that routine jobs, such as watching livestock, performing inventory checks, and assessing products are easy enough to be fail-proof. Not so, as the potential for errors is always present.

On the other hand, you can program machines to tirelessly and flawlessly do jobs without the worry about correctness or accuracy. A human worker then only has to monitor the results to make sure that they measure up to proper standards. Object detection also has security uses and value. 

     6. Enhance Customer Experience

From enlisting chatbots for assistance with customer concerns, to using natural language processing (NLP) for analyzing surveys, AI has been instrumental in planning a better customer experience (CX). Personalization is another way AI and ML improve a business’s CX. Look at Spotify, for example.

Whether in a super app or standalone app, the CX applications of AI are nearly endless and will continue growing and diversifying. As mainstream companies find new ways to keep their customers loyal to their services and products, CX becomes vital to the competition.

     7. Unlock People’s Creative Side

Perhaps the most prominent use of AI today is in creative pursuits, with big-name apps such as ChatGPT and DALL-E 2 leading the way. Many mobile app developers have followed suit, and now the market seems inundated with tools that allow people to experiment creatively with AI.

While the power of these generative apps is astounding, it also comes with the caveat of the challenges of following copyright and data privacy laws. If you work with a mobile app development agency in Chicago, consult them about protecting yourself legally.

Summing Up

AI is part of the wave of mobile app features overtaking the consumer market, alongside the super app. Uses range from CX and customer support, to voice recognition, data analysis, forecasts and object detection. Planning logistics and security are also among its many uses.

AI apps are still evolving, so getting ahead of this new trend is possible and an opportunity you should not miss. At the same time, it means that you should take only calculated risks and thoroughly investigate relevant laws. 

Hiring a mobile app development agency in Chicago helps, but conducting preliminary research is most important. 

Need help developing an AI-powered mobile app for your business? Contact Digital Authority Partners (DAP) to learn what we can do to help.