Artificial intelligence coupled with machine learning as a subset of it has transformed the landscape of mobile app development.
Mobile applications have become an indispensable part of human lives. They help in performing a variety of tasks and make it easy for businesses to promote their products and services locally and globally. Considering their role and importance,
mobile app development service has emerged as one of the most sought-after services worldwide. With the increasing demand for feature-rich apps and providing users enhanced value and better experience, businesses are increasingly focusing on creating unique and smart apps powered with cutting-edge technologies like Blockchain, 5G, AR & VR, and AI and ML.
Artificial intelligence and machine learning have transformed the way we interact with machines and help in providing personalized experiences to users. Media and marketing companies, education, healthcare, and other companies are increasingly embracing AI in their mobile apps to serve their clients better and enhance brand reputation.
Some of the crucial ways in which AI has transformed the landscape of mobile app development are discussed below:
- Empowering Search Engines
Artificial intelligence and machine learning have led to the increasing use of voice search and voice commands. You can ask your virtual assistant like Google Assistant, Siri, and Alexa to search for something for you. Be it restaurants, jeweler’s shop, or any other information you need, you can simply get answers by asking the right question to search engines. - Predictive Analysis for Personalized Recommendations
Whether it is online food delivery or grocery shop, books or kitchen appliances suppliers, businesses are embracing AI and Machine learning in their mobile apps to know their customers’ interests and explore ways to serve them better. With chatbots, they resolve queries of customers in real-time, and with push notifications, they offer personalized recommendations based on their browsing history, location, age, and preferences. - Facial Unlock Systems
With the launch of the iPhone X in 2017, facial recognition unlock became a popular feature on smartphones because of ease of use and added layer of security. Phone manufacturers use AI and ML-based algorithms for an individual’s face identification that unlocks the phone and the various apps installed on it. In the future, smartphone makers will use more advanced AI and ML that will detect a person based on changes in their facial features, like growing a beard or wearing glasses. - Enhanced App Security
With the increasing cybercrimes, security of data and apps has become more important. Using Artificial Intelligence and Machine Learning during mobile app development services helps detect malware and threats in real time and notifies users or enterprises to prevent the threat. - Translate Languages in Real-Time
Translation apps have become quite popular that helps people understand and use app features. However, most of these apps require an internet connection to perform seamlessly. With the integration of ML and AI into your app, smartphones will no longer need an internet connection to translate from one language to another, in a multitude of languages.
Besides this, mobile app developers can integrate AI with IoT to facilitate quick and seamless data transfer between devices that will help boost conversion rates.
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