What is the role of Artificial Intelligence (AI) in the mobile app development industry?
This question is drilling into the minds of businesses across verticals who have plans to invest in mobile app development. Artificial Intelligence and Machine Learning (ML) technologies are renovating the business models and encouraging brands to stay under the fingertips of the targeted audience through intelligent apps.
Starting from providing virtual customer support services and face detection to voice-enabled search facilities, the power of AI-powered mobile apps is ensuring outstanding user experiences and optimizing the quality and digital standards of brands.
This trend is driving the demand and use of Artificial Intelligence and its sub-technologies in the mobile app development industry. E-commerce players, retailers, bankers, Fintech companies, manufacturing units, transportation sector, healthcare, and fashion industries are all highly investing in custom AI app development to accelerate digital wave and provide top-notch automation and bring a great impact on service deliveries.
Today, we would like to discuss which AI technologies are playing a key role in the development of brilliant user-engaging Android and iOS apps.
Significant AI Technologies Used For Building Interactive Mobile Apps
- Machine Learning Technology For Prediction and Behavior Analysis
Machine learning is one of the key technologies of AI. Integration of ML capabilities in mobile apps, in particular, e-commerce apps, e-learning apps, or online delivery apps, is really a value added move by developers.
The global organizations are switching to use ML in mobile app development for various purposes, such as analyzing audience needs and preferences, categorizing customers, and forecasting product demand etc.
- Speech-To-Text Recognition Technology For High Accessibility
It is one of the most popular AI trends in the mobile app development industry. Mobile app developers are infusing speech recognition into apps to facilitate quick and convenient access to users.
Integration of voice recognition technology in mobile apps will allow end-users to toggle the microphone or voice assistant and start accessing the app with their voice. The built-in powerful speech recognition algorithms converts user voice to text and provides the desired content as per the user’s search query.
- Pattern Recognition for Biometric Authentication
Pattern recognition is a significant trend in the AI app development industry. Mostly, Mobile apps development companies in Saudi Arabia are adding biometric authentication features to banking apps, insurance apps, investment apps, Fintech apps, and e-wallet/online payment apps to ensure the high security of the confidential data.
Pattern recognition algorithms and tools authenticate the biometrics, such as fingerprints, iris, voice, etc., validating and verifying the user’s identity. It will improve the application security and build trust among the app users.
- Natural Language Processing (NLP) Technology For Quick Response
Siri is the most successful symbol for AI-based voice-enabled applications. Siri-like NLP-based software application is beneficial for both personal and professional purposes. It can be used as a virtual personal assistant that schedules meetings, reads/sends text or emails, and we’ll organize daily routines by just interpreting the voice commands. Hence, iPhone app developers are adding NLP capabilities into apps to enable more convenient and comfortable app experiences for users.
- Emotion Recognition Technology For Tracking Audience Sentiments
It helps brands identify and analyze the emotions of online and offline customers. AI mobile apps derive insights into emotions by determining the user’s feedback.
On the other side, retailers too can benefit from AI technology in many ways. By deploying AI-based in-store virtual assistance, retailers can monitor customers’ behavior and track their facial expressions seamlessly. This strategy is helpful for companies in improving the service/product quality and reaching the satisfaction level of their in-store or online customers.
- Face Detection Technology For High Security
Face recognition technology plays the best role in identifying facial features and authorizing app permissions. This technology improves the app security and prevents unauthorized access to the application. Hence, facial recognition is a great addition to mobile apps that let users unlock their apps seamlessly.
- AI Chatbots For Smart Virtual Assistance
The AI Chatbot trend is spreading across the world of businesses with jet speed. AI-powered Chatbots are the symbols of continuously emerging digital technologies. They will act like human customer support agents.
Mobile apps with Chatbot facilities respond to user queries immediately and increase their app experiences. AI Chatbots assist companies in delivering 24*7 support services.
- Image Recognition Technology
Mobile app development using image recognition is an attractive trend in this AI world. Mobile application development companies are integrating image recognition features in e-commerce and QR code scanning facilities. It will make invoicing, billing, and payment-like processes faster and easier.
The AI-based eCommerce apps development with an image recognition feature will allow users to upload or scan product images to make their search easier. It will ensure optimized search experiences for users.
Accordingly, one of the best advantages of image recognition in AI application development is identifying disease types. Yes. AI-based image recognition apps are widely deployed in the health sector for analyzing disease symptoms and identifying disease names.
These are a few significant applications of AI in the mobile app development industry. AI can also be increasingly used for developing language translation apps, IoT-powered fitness tracking apps, etc. However, one cannot imagine how AI will impact the mobile app development industry in the coming years.
Wrapping Up
As we discussed yet, the use cases of Artificial Intelligence in mobile application development are incredible. AI, together with its technologies, is accelerating mobile app technology. It will help app developers build bespoke Android and iOS apps that ensure the best user experiences. AI-powered mobile apps will transform the communication medium between brands and end-users.
Not only for developing Business-to-customers apps, but AI is also playing a major role in the enterprise-centric mobile apps development for streaming and automating the operational and sales processes. It’s the right time to integrate AI into mobile apps and stay on top of the AI world. So, the investments in AI are appreciable.
Let’s invest in AI technology and build unique, intelligent, engaging, collaborative, and futuristic mobile applications to remain competitive in this digital sphere.
Author: I’m Anita Basa, a fascinating Technical Content writer currently working at “Hyena Information Technologies”, one of the best mobile app development company in Delhi, UAE, USA and India. Interested to know about technology updates. Mobile App Development, IoT, Artificial Intelligence, Machine Learning, IOS, and Technology-related content Get connected with me on Linkedin
