How is Artificial Intelligence reforming Mobile Technology?

Artificial intelligence (AI) has created a significant impact on human interaction with machines and other devices. Whether it is travel, machinery, utility, advertisement or telecom industry AI has enhanced the customers experience remarkably. Moreover, AI has also made the decision making faster and accurate by grasping the enormous volume of information. Nowadays users entirely depend on mobile app development as a solution for assistance or task completion. The AI’s learning capacity adaptability mostly allow businesses to meet the needs of customers by creating a customized experience for each user. In 2019, we will behold a significant transformation in many industries as they go for AI to improvise their services. 

Changes that AI will bring to the mobile sector are given below: 

Empowering Search Experience 
Artificial Intelligence has introduced a new way for search through images and voice, unlike text mode. Moreover because of integrated AI and ML; now it has become mandatory for the developers to develop an image for recognition and voice recognition system. Besides AI will provide app localization in order to enhance the conversation rate of your app. 

Face Unlock to Power More Smartphones 
Face unlocking system has become the most popular feature in Android smartphones after the launch of iPhone X in September 2017. Apple used AI and ML algorithms for its face Id unlocking system with the combination of some hardware. Where artificial intelligence system works to identify the face of the user to secure unlock. Moreover, in the coming years, we can see many Android developers and smartphone makers are going to implement face unlock feature using AI processing where the smartphones can quickly identify the users face with facial changes like beard or spectacles over time. 

Ever since the evolution of chatbots come into the market, it has considerably increased user satisfaction. It is one of the best application based on AI making a bridge between business and end users. It is also providing impressive conversation experience as it supports customer 24X7 they can even communicate with multiple users at one go. 

AI with the Internet of Things (IoT) 
AI enable your device to communicate with each other as it is going to make extreme changes by collecting all the data and processing that data so that devices learn to function on their own. Therefore AI is helping app development companies to learn and execute with every information which has exchanged among various device and then takes all the significant action. 

High App Authentication 
AI hold a huge responsibility when we talk about cybersecurity with the increasing demand for smartphone data security has become a priority. Where while developing a new Android apps security is one the biggest concern for Android developer. Therefore with the help of AI and ML, you can predict the threats which may arise in the future and can reduce by giving alerts to the end users about the possible threats and vulnerability by analyzing the user behavior. 

Building App Marketing 
For marketing any app, marketer are required to collect and maintain the extensive sets of data for both online and offline which takes a lot of time and hard work because keeping a data for each customer is a sturdy job. As per the reports from, almost 30% of business is going to use AI and ML for boosting their sales and helping companies to take better marketing decisions for increasing their user engagements. 

So, therefore Artificial intelligence (AI) and machine learning (ML) are helping to represent the progressive growth in today time by emphasizing on influencers and advertisements which are making the use of micro-targeting for expanding their customer reach. Besides the benefits and the positive impact of artificial intelligence in mobile application development is far beyond the business. There is no surprise that the majority of business are now investing in developing intelligent apps. AI is a future of mobile development as it instantly changes the way of developer code apps and how the end user interacts with products and service.