How Artificial Intelligence (AI) Is Revolutionizing Mobile App Development?

How Artificial Intelligence (AI) Is Revolutionizing Mobile App Development? historynewsservice.org/revolutionizing-mobile-app-development/ admin

April 15, 2020

Innovations in mobile app development have always been triggered by the requirements of users. Developers have been performing extensive research and spending a lot of time in developing functionalities that deliver a fantastic user experience.

Technological advancements have revolutionized the mobile app development process and have made it faster and more user-centric.

The primary reason for this transformation is due to a surge in the use of emerging technologies like augmented reality, chatbots, IoT, etc.

However, in the upcoming years, this revolution will be driven by Artificial Intelligence (AI) and Machine Learning (ML). It will help you meet customer demands more quickly by providing access to the content in real-time.

Looking at the positive consumer response to the changing mobile app development trends, one can predict the market of AI in mobile app development to grow.

According to statista the revenues generated from AI products will reach almost $23 billion in 2020 and is predicted to reach over $100 billion in 2025.

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From chatbots to natural language processing and predictive analytics, the advancements in AI and ML have been like a catalyst in the mobile app development process.

Below is a list of innovative AI-based recommendations that development firms must incorporate while developing mobile apps.

Face Recognition Face recognition technology has become an integral part of mobile app development . It can be seen in many iOS and Android apps. Artificial Intelligence and Deep Learning technologies are increasing the accuracy and precision of face detection.

Face recognition is a technology that not only detects and identifies a human face or an object in a digital image/video but also shows the function in different frames.

Moreover, companies are have been using IR (Infra-red) technology to increase the security and precision of face recognition further. This technology will then be used to open apps, smartphones, make payments, and more.

Today, developers have implemented the technology that is allowing users to make credit card payments, bill payments, etc. using their face. They don’t need to swipe their cards or enter card details.

Landmark Detection With AI, developers have taken a step further and created algorithms that detect popular landmarks and monuments. These algorithms take the geolocation and image of the monument into consideration to identify the landmark.

Instead of playing around general objects such as cats, mountains, and buildings, developers are now putting more focus on fine-grained and instance-level recognition issues.

Chatbots ML and AI are bridging the gap between customers and businesses. Companies have started to adopt Chatbots to offer an exceptional experience to their clientele.

These AI-based Chatbots can not only handle multiple clients simultaneously but also increase the query response time after each conversation.

According to a study, around 94 percent of smartphone users think that Chatbots offer them the right and most efficient solutions to fulfill their requirements with personalized services or products.

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Not to mention, these smart assistants have wholly transformed and reinforced the future of customer support services. Another survey from Oracle showed that 80% of businesses are expected to use Chatbots by the year 2020.

These findings show that Artificial Intelligence and its little agents — chatbots — are here to stay for a long time and mold the market in several positive ways.

Powerful Application Authentication Experts say that a majority of Artificial Intelligence-based apps will be developed with parallel technologies, such as ML and Predictive Analysis algorithms.

This way, businesses will be able to gather user information via POS (Point-of-Sale) machines, traffic sources, and mobile devices, then sift through the collected data using algorithms to decrease app security frauds, concerns, and other threats.

This will also allow them to find key trends and modify their apps to deliver richer contextual and personalized experiences. Such apps will examine user behavior and alert them about any suspicious threats and rupture vulnerabilities.

Voice and Image Recognition Both Machine Learning (ML) and Artificial Intelligence (AI) have improved the search engine experience for users by enabling them to search via not only text but also voice and image.

Most companies will integrate image recognition, voice recognition, and app localization features into their mobile apps to improve the user experience and optimize conversion rate.

Conclusion Although Artificial Intelligence is not a new concept, many firms have yet to understand and execute various elements of Machine Learning in their mobile and web app development.

By using advanced AI-enabled features, enterprises can significantly improve the most prominent areas of iOS and Android applications, including security, self-learning, image analysis, etc..

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