Summary
This blog provides a brief introduction to the concept of AI and ML and how they are being used in mobile app development. It also highlighted the benefits of using them in mobile app development and how they can be used to improve the overall user experience.
Did you know that about 85.82% of the world’s population uses smartphones? That is a staggering 6.92 billion users worldwide.
It’s also no surprise that the mobile application market was valued at $206.85 in 2022 and is, as per current predictions, expected to grow at a CAGR of 13.8% till 2030.
With people relying on their smartphones more than ever before, mobile app development solutions have been looking for ways to streamline app development. With an ever-increasing demand for more feature-rich and complex requirements, they found their answer in artificial intelligence.
This blog will dive into how AI is revolutionizing mobile app development and explore and highlight a few best practices on how to use it effectively.
Table of Contents:
- Artificial Intelligence and Machine Learning – A brief
- Why the Need for AI and ML in Mobile App Development?
- How AI and ML are Aiding Modern Mobile App Development Solutions to Meet the Needs of Customers?
- Summing It Up
Artificial Intelligence and Machine Learning – A Brief
Artificial Intelligence (AI) and Machine Learning (ML) have become neologisms today. They are often used interchangeably but, in reality, are related but not the same thing.
AI is an umbrella term that uses a spectrum of technologies such as ML, Natural language processing (NLP), and Machine Perception (MP) to perform tasks by mimicking human intelligence.
On the other hand, machine learning is a dedicated discipline where machines learn from data and make predictions or decisions based on it. Depending on how ML algorithms learn from data, they are classified into the following types:
- Supervised ML: Where the model is trained on labeled data to predict outputs for new, unlabeled data.
- Unsupervised ML: Where the model is trained on unlabeled data to find patterns and relationships within the data without human input.
- Re-enforcement Learning: Where a model is trained on how to navigate an environment by trial and error. In this type of ML, the right predictions are rewarded.
- Transfer Learning: Applies a model that has been trained on one task to a new, related task
When applied to mobile app development, the above concepts have changed the industry in more ways than one.
Also Read: The Role of Artificial Intelligence (AI) in Custom Application Development
Why the Need for AI and ML in Mobile App Development?
Today, customers (from the perspective of mobile app development solutions) expect everything at their fingertips when using smartphone apps.
Among other things, they expect:
- Highly personalized app experiences bet it while shopping online or when it comes to audio or video streaming.
- Quick and instant access to information.
- Highly engaging app experiences are transitioning towards alternative and more modern methods of interacting with their smartphone via voice commands, facial recognition, or gesture controls.
- Top-notch security when it comes to personal information and, at the same time, exceptional performance with a minimal learning curve.
AI-based app development is the best way forward for mobile app development solutions to meet the ever-increasing demands of today’s mobile app users.
How AI and ML are Aiding Modern Mobile App Development Solutions to Meet the Needs of Customers?
The impact of AI has been profound in every sector it has been applied to, and the same can be said for mobile app development.
Here are a few ways in which AI and ML models are aiding mobile app development solutions:
1. Enable Real-Time and Predictive Analysis
The most significant impact of AI in Android development is the ability of apps to make instant and accurate decisions based on real-world data.
Google Maps stands as the best example of this capability. It uses real-world and real-time information to calculate the fastest route to your destination. Ride-sharing apps like Uber and food delivery apps like Amazon Fresh use the same technology.
2. Deliver Personalized Experiences
We already touched up the fact that customers of today are highly accustomed to and expect a high degree of personalization from digital experiences.
With an abundance of options available for every category (2.59 million on Google Play and 1.64 million in Apple’s App Store), personalization can be the one distinct factor that can set an app apart.
Machine learning in app development can help deliver those personalized experiences. AI and ML developers can develop specific algorithms that tailor user experiences based on numerous factors such as prior history, preferences, current search parameters, etc.
Netflix was one of the companies to capitalize on this technology that displayed personalized suggestions based on a viewer’s history.
3. Improve App Quality
From a pure development standpoint, using machine learning in app development can improve the overall quality of the app in multiple ways.
First, it can automate mundane and time-consuming everyday tasks that leave app developers with more time to focus primarily on developing apps.
AI and ML models can also be trained to perform extensive testing to detect and fix bugs, go through and optimize the code to improve the overall app’s performance, and perform comprehensive and exhaustive tests to assess the app’s security.
Finally, app developers can train models to learn how customers interact with their apps by capitalizing on the ever-increasing presence of artificial intelligence in mobile phones. This information can then be used to improve the usability and overall user experience an app delivers.
4. Increase Revenue
With all of the advantages mentioned above, mobile app development solutions can develop highly intuitive apps and exceptional user experiences that will ultimately help bring in revenue in the form of purchases or subscriptions.
App store spending stands at $167 Billion as of 2022, which highlights the earning potential of mobile apps if developers can make a mark for themselves.
Also Read: 7 Roles of Artificial Intelligence in Learning and Development
Summing It Up
Artificial Intelligence and Machine Learning are no longer just buzzwords. These technologies hold massive potential, and mobile add development solutions that capitalize on them will be well positioned to lead the pack in the coming years.
With this technology improving by the day, developers have more opportunities to create innovative and impactful solutions that can enhance the lives of millions of smartphone users across the globe.
If you’re looking for a mobile app development partner who can leverage AI and ML to create a genuinely next-generation user experience, contact Hurix Digital today.
With over 22 years of industry experience and numerous successful projects, we have all it takes to develop a custom solution that exceeds your expectations.
Contact us to know more.
