When a new Android or iOS mobile app comes to the market, it somehow has a lot of glitches. These glitches fail to meet customers expectations regarding UI, UX, speed time, and other tiny bugs. Since nowadays people use mobile apps to get things done quickly without wasting even a single second, businesses should now start investing in something big to hit the milestone.
Here comes Artificial Intelligence to the rescue. Artificial Intelligence has started a whole new way and redefined the concept of human-machine interaction. It is manifested by machines, in contrast to the natural intelligence displayed by humans and other animals. ELSA Speak: the English Accent Coach, Google Assistant, and Siri are few of the AI mobile applications.
To be exact, AI is the simulation of human intelligence process by machines that includes learning, logic and, self-correction. Smart Watches, security system, home appliances are connected with each other; to this, AI acts as the mediator for the user to command the things around them.
According to a report by Gartner, it is predicted that by 2020, customers will be able to manage 85% of their queries without interacting with the human.
New Opportunities for App Development with Artificial Intelligence
The business growth and the rise in user engagement are due to the increasing use of AI in mobile app development. Somehow, various devices and apps with a fixed algorithm do not adjust based on the user’s observed behaviour. Here are a few points on how AI helps overcome this obstacle:
• AI collects and stores data from the user by analyzing the performance and usage pattern of the app.
• Demographics such as the user’s location, contacts, as well as daily behaviour taken by the AI allows the app to serve the user better.
Artificial Intelligence has been playing a significant role in app dev for several years. It all started with Siri, and now AI is empowering growth with its strong presence in app development.
Let’s take a glance at some of the scenarios, where AI-enabled mobile apps can help the businesses to create a great UX for its customers.
AI can understand customer behaviour in a short span of time providing in-depth insights of the customer preferences. One of the recent examples is, Starbucks came up with the AI mobile app called My Starbucks Barista where users just have to tell what they want via voice message and order would be placed instantly.
Similarly, Tacobell came up with the mobile app called TacoBot teaming up with slack. Offering more personalization always help the companies to expand traffic and sales ultimately which results in the app engagement and the increase in ROI.
Soon, the world will be like where no human effort will be required even to move your hand to get a task done. You will just have to speak out. For examples, big tech companies like Amazon introduced Alexa. With Alexa you just have to command for the tasks and Alexa would do it for you. As per the research of the ComScore, by 2020, 200 billion searches per month will be done; creating the market opportunity of voice search of $50+ billion per year.
Better predictive reply
Just a mobile app might not understand the language of the user. Here comes the concept of predictive reply. A predictive reply is a communication between the user and the device where AI technology understands the message and responds it precisely. AI extracts the info from the current data sets to determine the current state and predict the outcome.
As an example, Google came up with a Gmail app. Its main feature was the ‘Smart Reply’ by using artificial neural networks to send appropriate responses to the email messages. This feature by Gmail is integrated with machine learning that analyses the emails and recommends prompt messages that you may want to send.
The prediction of replies helps in fast chatting which makes it easy for the customers and brands to resolve the queries in less time. Also, the chat-bots interacts with the user in a real way leaving a fantastic impact on the user's mind.
Machine learning and AI when coming together, some next-level thing gets created. For instance, Machine learning AI-infused mobile app helps the doctor to monitor the health of the patient and also enables the doctor to alert the medications necessary on a particular date.
• Self-driving car of google
• Product recommendation on Amazon
• Knowing what your customer is going to say on social media
• Fraud detection
The expanding use of AI in mobile app development services has renewed business growth and user engagement. It helps businesses to generate maximum revenue with user-friendly UI. The growth of AI is empowering new possibilities in the software companies and has already started to dominate the app market long before.