IoT (Internet of Things), Augmented Reality (AR) and Artificial Intelligence (AI) have taken the front seat in mobile app development. Whether you’re booking an Uber, playing AR games or making a purchase, these sets of technologies are present in almost every mobile app that we download from the App Store or Google Play Store.
Why is there a need for IoT, AR and AI in Mobile Apps?
Mobile apps are not just a piece of software anymore; they have become a part and parcel of our lives. Technologies like IoT, AR, and AI are used in mobile apps for a number of reasons. I am listing down three of them –
Offer a personalized experience to users
Using AI in mobile apps can make them work as dedicated digital assistants for users. A wide range of information is collected to give accurate responses to the end users. The AI algorithms analyze these sets of data to improve the overall experience of apps and make them personalized.
AR technology can build virtual trial rooms to try different types of clothing, furniture, and apparel. Ikea remains the best example of the AR-powered app.
The use of IoT in mobile app development can lead to higher efficiency and better utilization of resources. This integration has the potential to automate multiple processes while revolutionizing the concept of smart homes and smart cities.
Leading mobile app development company blend IoT and AI in their development strategies to optimize their employee bandwidth and speed up the development process. Such integrations are quite popular in the manufacturing and supply chain operations.
Excellent data security
Whenever you use an app, it collects your usage data to improve the overall experience. There is a strong possibility that most of these data could be sensitive. Although data collection is necessary to provide personalized responses and recommendations, it raises a concern about user privacy and data security. IoT takes care of this concern very well.
Most of us have a misconception that mobile apps pose a risk of a data breach. IoT systems add an additional layer of security to the apps so that your data remains safe from cybercriminals. Data encryption and multiple entry points ensure that all of your data is processed securely on the application’s server.
Practical Applications of IoT, AR and AI in Mobile Apps
The list of real-life, practical applications of IoT, AR, and AI technologies is endless. In this blog, I will elaborate on three applications of each of these technologies in mobile apps that are revolutionizing the industry in 2019. So let’s get started with them.
1. On-demand services: With Uber being the best example of taking shared and premium rides at a click, IoT has digitalized the transportation economy. Riders can head to their destinations securely and pay for the cabs in a cashless manner.
2. Healthcare: The urge for home-based medical devices and remote health monitoring is on the rise. Technically, these medical devices are connected to central servers where professionals can receive health data from the patient via a mobile app and this happens in real time. Further, this crucial data can be accessed by the relevant doctor. Thus, there is no need to visit the hospital for minor issues. Managing chronic diseases, monitoring clinical conditions, assisted living, and wellness monitoring is some of the common IoT solutions in healthcare.
3. Retail: RFID inventory tracking chips, Wi-Fi tracking systems, and digital signage are trending examples of IoT-powered apps. The sensors receive relevant data and transfer the same to mobile apps. Businesses can proactively understand the customer’s needs by using such mobile apps.
1. Ecommerce: Online stores can upload demo videos that provide shoppers with more details about the unboxing of items. With AR, shoppers can visualize the configuration of the product in the real world, which will reduce the incidences of abandoned shopping carts.
2. Travel: AR-based apps can give travelers digital walkthroughs of popular places and their ambiance. They can also deliver historical information and panoramic views of tourist spots.
3. Education: With most e-learning apps being powered by AR, studying has become more interesting and effective for students. AR makes learning more interactive and ensures that the delivered information has a longer retention rate. Some of the most prominent AR-based apps in education are Chromville Science and Zoo Burst.
1. Natural Language Generation: You can use natural language technology (Natural Language Generation) if you want to build an application that is about customer service, creating reports and market reviews.
2. Speech Recognition Systems: It is used in interactive voice control systems. The best examples of this technology are Siri and Cortana, which decode and transform human speech into a format that is understandable to a computer.
3. Image Recognition (IR): This technology is based on the process of identifying and detecting an object/function in a digital image or a video. IR technology can be used to detect license plates, diagnose diseases, and verify users by their faces.
Wrapping it up
The future of mobile apps looks bright if current trends in disruptive technologies are to be seen. Smart wearable devices, Simultaneous Localization, and Mapping (SLAM) and deep personalization are the key trends to watch out for in the near future. Needless to say, the possibilities are endless and the combination of IoT, AR, and AI will
define the future of mankind.
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