Do facial recognition and voice search features intrigue you?
What about Siri, Alexa and Google Assistant? These are the part and parcel of today’s digital landscape.
With the passage of time, mobile app development has become unbelievably intuitive, efficient and intelligent. It started off with generic tech services and now has come a long way.
Every aspect of our lives is being revolutionized by AI and machine learning. In the mobile economy, some of the most significant and quick developments may be observed.
AI is making waves in mobile technology in terms of mobile architecture, designs, customer experience, app security and integration. With the use of cutting-edge features rendered by AI, app developers unleash custom mobile app development services, personalization and unparalleled user experience.
AI-based mobile app development is exponentially increasing. The imagination of yesterday is a reality of today. From entering your office through biometric, asking Siri to do a task for you, to using AI-based home automation apps – AI resides everywhere we see!
Hence, it is safe to say that the future belongs to AI! This article explores the multifaceted role of AI and ML in modern mobile apps and what they hold for us in the future. First, let’s get started with basic definitions of AI and Machine Learning.
What is Artificial Intelligence (AI)?
In simple words, Artificial Intelligence or AI is a field of computer science that uses technology to solve problems. The job of AI is to empower machines to be able to compete with human intelligence – and use that intelligence to accomplish tasks accordingly. In other words, AI is all about computer programs or machines simulating human intelligence such as perceiving, reasoning, analyzing, reacting and responding as per different environments or situations.
How Do You Define Machine Learning (ML)?
Machine Learning is a sub branch of AI which primarily focuses on the principle of “learning from experiences”. It allows software applications to predict outcomes from a large set of data without explicitly stating guidelines to predict and present the results. Machine learning algorithms use historical patterns within the dataset to come up with accurate predictions.
Ever noticed personalized recommendations while scrolling your social media apps or personalized ads on Netflix or Youtube? These are some common examples of AI and ML in our everyday life.
We agree that AI and machine learning are powerful enough to dominate every part of our lives. In this article, we’ll walk you through how AI and ML intend to mold the future of mobile apps.
AI & ML – Transforming the Present & the Future of Mobile Apps
Mobile apps need good app engineers, bug-free code and accompaniment of advanced technologies like AI and machine learning. And that’d be a secret recipe of a successful mobile app. This is because AI and ML unleash startling benefits for app developers as well end users.
Here’re the evident impacts of AI and ML in mobile apps.
- Incorporates Personalized Experiences for Each User’s Needs
AI and ML algorithms incorporate personalized user experiences based on users behaviors and past activities on the apps. Businesses impart AI-based features to their apps that enable them to derive data-driven results and cater to specific needs and interests of users.
Imagine that you own an ecommerce website, you can use AI-powered algorithms to analyze users’ purchasing and browsing history, demographics and personal preferences to gauge customer needs and deliver tailor-made outcomes. In this way, you can use AI and ML to amp up user experience and personalization within your mobile apps.
- Unleashes the Power of Predictive Analysis
Businesses can unleash the power of predictive analytics and determine potential trends for their operations. Predictive analysis uses AI, ML and different statistical
models to analyze large data sets and anticipate consumer behaviors. This feature of AI enables entrepreneurs to foresee potential market shifts and any upcoming industry trends, and then suggest their offerings. Now, let’s take a look at some of the use cases of AI and ML.
AI & ML Use Cases in Mobile Apps
If you are a mobile app developer, you may attempt incorporating the following AI elements into your future project or spotting them in SaaS services that are already out there.
- Facial Recognition
Facial recognition is an AI-based feature that particularly identifies people’s faces in videos or real-time. It is used in mobile apps to preserve security and minimize the risks of online thefts. Face recognition technology can be used in banking, entertainment, law-enforcement agencies and healthcare industries and help protect sensitive data.
- Voice Assistants
Another popular AI-based technology is the use of voice assistants. Google Assistant, Alexa and Siri are all powered by AI. Voice recognition features assist users with hands-free navigation. Moreover, chatbots powered by ML also provide a user-friendly interface, thorough customer support and chat response automation. AI definitely enhances customer experiences and offers cost-effective solutions for businesses.
- Security Features
Security is one of the prime concerns for mobile app developers and users alike. Mobile banking and online shopping apps can incorporate AI technology to prevent sensitive and personal information of users. Data is processed at high speeds that make it easy to detect cybersecurity threats. AI algorithms lead to a seamless customer journey by preserving the security of data. Biometric authentication is able to aid with this. The system then converts biometric data, identifies, analyses, and reassesses it with the current database using machine learning techniques.
The Conclusion
Mobile app development has undergone several advancements over the years. With the inception of cutting-edge technologies, AI and ML are suspected to bring progressive solutions to complex problems. As a mobile app developer, you must be aware of expected changes in the tech graph over the coming years. Additionally, you should know what AI-powered solutions will do wonders for your app. Adapting your business or apps to the needs of customers and leveraging AI-based solutions will help you stay ahead in the curve. Machine learning is a powerful technology that has a wide range of applications in various industries, including the blockchain industry. For more articles visit homepage
