Exploring Artificial Intelligence in Mobile Applications
The global mobile app market is growing rapidly. According to Statista, it is expected to hit $732 billion in revenue by 2027. A big part of this growth comes from advancements in technology, especially the use of artificial intelligence (AI) and machine learning (ML).
These aren’t just buzzwords anymore — AI and ML are changing how we use mobile apps, making them smarter, easier to use, and more personalized.
3 Main Reasons For Using ML/AI in Mobile Apps
Artificial intelligence and machine learning first were cautiously considered but have become crucial components in the sphere of mobile application development – do you even remember how it was without native Google News suggestions? That is why when launching mobile apps companies should carefully consider this technology and find ways to implement it. Here are some of the main reasons for using AI/ML in your app:
1. Reduce Manual Effort
Artificial intelligence and machine learning simplify complex tasks, thus reducing manual labor. These technologies process vast amounts of data to identify patterns and provide useful insights. Based on these insights, they make precise predictions that guide various actions.
The key point here is not just the prediction power of AI and ML, but also their ability to act independently on these predictions. For example, they can automatically send notifications in apps based on user behavior and carry out data entry tasks. This reduces the need for human involvement. Their efficient and quick handling of such tasks paves the way for better use of resources and increased productivity.
2. Automate Routine Tasks
Setting reminders and sending emails are routine tasks that AI and ML can handle efficiently. They automate these day-to-day tasks, adding a level of convenience that makes our lives easier and more productive. This doesn’t just take care of the mundane tasks, it frees up time for us to focus on more complex, meaningful activities.
Here’s how AI does it: For instance, in the case of setting reminders, AI can learn from our patterns and preferences. It knows when we usually set reminders and for what kind of tasks, allowing it to anticipate our needs and automatically set reminders accordingly. For sending emails, AI can draft replies based on previous email interactions, significantly speeding up the process. By taking over these routine tasks, AI and ML make our lives smoother and more efficient.
3. Detect Fraudulent Activities
AI and ML play a key role in identifying and preventing fraudulent activities, particularly in sectors such as banking and finance where security is a top concern. They achieve this by analyzing patterns and identifying unusual behaviors or transactions. For instance, if a banking transaction deviates significantly from a customer’s typical behavior, AI can flag it for further investigation.
Moreover, machine learning models can be trained to recognize patterns associated with known fraudulent activities. When they come across a similar pattern, they can raise an alert, leading to a timely intervention.
Not only do these technologies help protect individual assets, but they also contribute to a trustworthy financial environment. By acting as a strong line of defense against fraud, AI and ML are transforming sensitive sectors, making them more secure.
5 App Features To Implement AI/ML
AI and ML can substantially improve various features in mobile apps, leading to a better user experience:
1. Smart Assistant
Artificial intelligence, embodied in digital assistants like Siri and Alexa, is reshaping our interaction with devices. Their capacity to comprehend and react to voice instructions simplifies numerous tasks. From scheduling reminders to composing and sending messages, or even playing our favorite songs — everything can be managed effortlessly with simple voice commands.
This transition toward voice-controlled operations has significant implications. It’s not merely about convenience, but also about accessibility. People who may struggle with traditional interfaces, like the elderly or those with certain disabilities, find voice commands more user-friendly.
Moreover, it allows users to interact with their devices while their hands are occupied, be it cooking, driving, or any other activity. This seamless integration of technology into our daily lives is a major leap in our digital age, opening up new possibilities for the future of human-computer interaction.
2. Automated Form Filling
When you’re shopping online, AI can remember your shipping address and automatically fill it in for you next time. Similarly, AI can predict and auto-fill web search forms based on your past queries, speeding up your search process. On social media platforms, AI can suggest hashtags or complete your sentences based on your writing style and previous posts.
This automation saves time and reduces the chance of errors. As a result, users have a smoother and more efficient digital experience, allowing them to focus on more important tasks.
3. Emotion/Voice/Gesture Recognition
AI’s ability to comprehend emotions, voice tones, and gestures adds a unique, user-friendly dimension to mobile apps. For instance, consider a health and wellness app that uses AI to monitor the user’s voice during a conversation, identifying changes in tone or pitch that might indicate stress or anxiety. The app could then suggest personalized stress-management techniques or mindfulness exercises.
An AI-infused education app might use gesture recognition to understand a user’s hand movements during a virtual class, enhancing the interactive learning experience.
Even in social networking apps, AI can analyze text messages or posts for emotional sentiment, helping connect users with similar interests or moods. Through such implementations, AI is not only making our interactions with apps more natural but also more meaningful and personalized.
4. Personal Recommendations
AI serves as a personal guide in mobile apps, studying user behaviors and offering tailored suggestions. This is particularly useful in e-commerce and entertainment apps. For example, an online shopping app might use AI to analyze a user’s browsing and purchase history, then suggest items they might like.
Similarly, a streaming app could recommend shows based on what a user has watched before. By providing personalized recommendations, AI helps create a unique and more engaging user experience.
5. Smart Photo Editing
AI-infused photo editing tools transform your mobile device into a portable photo studio. These tools are ready at any time to assist you in improving your images. Whether it’s adjusting the brightness, adding filters, or even changing the orientation of a photo, everything is possible right from your device. It’s a simple, convenient way to create stunning visuals without needing specialized equipment or advanced skills.
AI-Powered Mobile Apps: Learning From The Best
Artificial intelligence and machine learning are widely used in many areas, such as gaming, healthcare, and financial services. Here are some well-known apps that smartly use these advanced technologies:
- Netflix: A global streaming service, Netflix uses AI and ML to analyze users’ watching habits and offer personalized content recommendations. It helps Netflix understand your preferences and presents you with shows and movies that you are more likely to enjoy.
FaceApp: FaceApp employs AI technology known as neural networks to realistically transform photos. It’s trained on a large dataset of facial images, learning to recognize patterns and features. When a user uploads a photo, the AI applies these patterns to alter the image in a way that still looks human-like, whether that’s aging the face or changing its expression.
- Google Maps: Google Maps uses machine learning algorithms to analyze historical traffic data and real-time inputs from various sources, such as sensors on roads and location data from smartphones. It uses this information to predict traffic and suggest the fastest routes at different times of the day.
- Zillow: Zillow’s AI tool, known as a Zestimate, uses a complex algorithm that analyzes public data like past sale prices, property tax assessments, and physical property characteristics. It also considers unique features, such as location, views, or remodels, in order to provide an accurate estimate of a home’s value.
- Spotify: Spotify’s AI examines a user’s listening habits, including the genres, artists, and songs they listen to, and how frequently they do so. It also factors in data from users with similar tastes. Based on these insights, it generates personalized playlists tailored to the user’s music preferences.
In simple terms, AI and ML are leading a tech revolution in mobile apps. They make apps more useful and enjoyable for users and create new business possibilities. As these advanced technologies keep improving, we can expect to see even more smart and creative mobile apps in the future.
