How AI is Enhancing Productivity Apps on Smartphones?

AI in productivity apps can be compared to a compass that guides the user along the most ideal path specifically for him. An app with AI plays along with the user in every possible way: it helps to quickly find information, predicts the input of words, analyzes habits, and much more. You can trace all this in voice assistants, personalized suggestions, and predictive analytics. The influence of AI is too great, but we will do our part to understand this role.

Challenges and Forecasts for AI Integration

According to the forecast for the development of the AI ​​market, this segment will reach a capitalization of 407 billion by 2027. This is despite the fact that the imperfection of AI scares off many companies. AI continues to develop and consume more and more computing power, and the forecasting results are becoming more accurate. With the emergence of an increasing number of qualified specialists and the improvement of the availability of computing equipment, AI has begun to be integrated into various services and applications to varying degrees.

Now we can see AI-powered tools and platforms from major companies like TensorFlow, PyTorch, Google’s AutoML. They have created not just apps, but tools that allow developers with fewer resources to take advantage of machine learning and AI. Cloud-based AI services from leading providers like AWS, Azure, and Google Cloud offer businesses the ability to leverage powerful computing resources without the need for hefty initial investments.

Furthermore, the proliferation of pre-trained models and APIs has simplified the integration process. For instance, models like GPT-3.5-turbo facilitate remarkably human-like interactions, while Whisper v2-large excels in multilingual translation. Modern smartphones are now highly capable devices, far surpassing older models that were limited by their processing power and storage capacity.

How AI is Enhancing Productivity Apps on Smartphones?

AI can analyze data in the background and does it quickly. But this is not the main advantage of the technology. Learning ability is the ability to shorten the user’s path from setting a goal to achieving it. Each time, AI learns and allows it to better understand common user tasks. For learning, it uses data generated by the user himself, and not general information about the operation of applications. Accuracy and speed of action are what makes AI valuable in mobile applications. Below is a list of types of applications that have already integrated AI into their processes and are ready to offer the best user experience.

1. Memory Cleaner

Your smartphone’s memory state is unique, and an app that can adapt to it can not only quickly delete data, but also do it painlessly. Apps with AI understand which data is valuable and which is useless.

We are talking about an application that can quickly clean your smartphone from junk. With Cleanup App – Phone Cleaner you can find temporary data, duplicate photos and videos, as well as duplicate entries in the phone book. Phone cleaner also offers video compression. They will be saved in your memory, but will take up less space. This approach allows you to free up a significant amount of free space in a short time.

2. Photo Creation & Editing

AI lets you take better photos: add and remove backgrounds in real time, focus more accurately, create better photos in low light, or add artistic effects. You can already get acquainted with AI features in Google’s Super Res Zoom, featured on the Pixel 3 device. This innovative feature leverages algorithms instead of traditional lenses to allow users to zoom in digitally while taking pictures. You won’t have to do everything manually: zoom in with lossy quality and crop unnecessary parts; AI does it not only faster, but also more accurately.

3. Facial Recognition

A stellar example of AI-driven facial recognition in smartphones is the iPhone X’s Face ID. You’ve noticed that the iPhone recognizes you with a new haircut, with or without a beard, and can even work when you’re wearing a mask. Face ID also detects the direction of your gaze and takes it into account when unlocking. All of this is the result of using advanced AI and machine learning algorithms.

4. Simplified Search

Text and voice searches are the norm of modern life, but we are becoming more and more demanding of the accuracy of the results. This is made possible by AI, which can also recognize your voice with high accuracy. Want an example of how this technology can be used? Just open the Google Lens app.

In many instances, visual search proves to be faster and more precise than traditional text or voice searches. With AI seamlessly integrated into mobile applications, developers are increasingly creating advanced image and voice recognition systems. Furthermore, AI will enhance application localization, ultimately boosting conversion rates.

Conclusion

These are just a few of the areas where AI can be used that, when integrated into productivity apps, can help you manage your time more effectively. It feels like a sure thing that we’ll see new, amazing AI use cases every season.