How AI Is Powering Mobile App Development

The mobile app development and the marketing of an app weren’t complicated tasks a couple of years back. Things were not as competitive as they are today. Developers did not need to focus heavily on the design of their apps; even mediocre UI and fewer reviews were enough to get mass’ approval for an app.

But that trend has changed now! When estimated, both app stores, the Google Play for Android and the App Store for iOS devices, would combinedly have more than 5.5 million mobile apps. A new app put in these stores can easily get lost, particularly if there is no out of the box plan followed during the development.

As of an App Annie’s 2017 report, most of the users have more than 80 apps on their phones these days, but out of them, they use only 40 per month.

This is really a tough situation. Now, how would you ensure that your app would become a part of those 40 apps that people like to access on daily basis?

Rely on AI and ML

Nowadays, developers need to look beyond conventional designing approaches and bring in more creativity to their app development process along with relying on the next-gen technologies, like artificial intelligence (AI) and machine learning (ML). Developers and app owners need to learn what sorts of apps people love to use and keep in their phones for a long period of time.

We would soon see that advanced technologies, like AI, ML, IoT, AR and VR be the new normal in the app development arena. Even now, we can notice that apps offering the personalized and interactive experience to users are already in demand. People are taking a cue from Amazon Echo, Apple’s Siri, Google Home, and Assistant and expecting similar features in UI and UX of apps they want to use.

So, people have turned out to be choosers about their apps. Same is the case with businesses which are showing their interest in advance technologies and want to enter the market with customized apps.

When the Advanced technology AI is combined with ML, it can provide apps with features like image recognition, object identification, and more. Google too has adopted the AI first approach and launched AI tools for developers. These tools, as provided by Google and other tech companies, help mobile app developers in developing next generation tools.

Let us learn how AI can be implemented to take mobile app development to the next level:

Face Recognition for better security

ai face recognition

The face recognition technology can be used in a wide range of apps as the feature is directly related to strong safety measures. Face detection is about identifying a user’s face through a digital image. Now real-time face detection is becoming important for security reasons in different sorts of apps. The technology has been proved to be useful to monitor the movement of objects or persons. The technology can be applied to both Android and iOS mobile app development.

Smart Replies to make things convenient

Smart Replies do wonder. Google had already launched auto generate replies for emails almost a year back. As of now, close to 10 percent of mobile responses are already using the Smart Reply feature. Because the reception of this feature has been quite positive, Google now wants to use it across G-suite to solve a variety of customer issues.

The feature can also be used by mobile app development companies in enterprise apps to help employees save time spent on correspondence and communication. Of course, the integration of the Smart Reply feature adds more to the cost of an app development, but it may also deliver higher ROI and contribute improvement to the brand reputation of a business.

Personalization

More and more people now expressing to customize an app they routinely. In fact, it’s a new normal in apps now. Apps having this feature have already gained a loyal customer base. This feature is provided with AI-backed predictive analytics. It enhances customer experience and keeps customer connected with businesses.

So, many businesses would now use app personalization in their apps. Facebook, Amazon Prime, and Netflix are already using AI to add the personalization in their apps. Many e-commerce companies too are already showing their interest in adopting AI based personalization and partnering with companies like IBM Watson.

Chatbots

Chatbots too are now revolutionizing the domain of enterprise mobile app development. Developers are able to effortlessly replace their human-executive-based customer-interaction with AI-based chatbots, which can collect data and then on behalf that data, deliver enhanced services in the future. Modern chatbots using AI capabilities can now interact with customers like an actual human employee. As of now, insurance industries and healthcare providers are still the biggest beneficiaries of the AI-chatbots.

These chatbots can work round the clock without even letting customers guess that they are talking to a machine, not humans.

In the future, chatbots integration would be a vital part of a variety of mobile app development projects. Many apps for travel, fashion, and customer care are already using AI based chatbots.

Speech Recognition

Speech recognition exists in the tech world for more than a decade. However, earlier implementations weren’t too accurate, but modern apps for the speech recognition are as accurate as they can be used in conversational UI and freeing users from inputting queries in an app. With this sort of feature, users would only need to speak to an app and get replies with suitable answers.

Automated Writing

In writing fields such as journalism, AI is used to write data oriented stories. Associated Press used AI to cover minor leagues in 2016. There are companies like Automated Insights which are developing the electronic writing technology in such a way that can quickly tap in to huge reservoirs of data effortlessly and generate perfect pieces of information. Apps can use these feature too.

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