There are a lot of speculations around the number of technologies that we see today. These technologies not only make business earn profits but also impact end users lives. We have already been so accustomed to these trends that it’s almost impossible to see our lives beyond these. Revolving around the user in areas like healthcare, manufacturing, supply chain, shopping, virtual assistants and more, it has given a new direction to users already.
 

Artificial Intelligence is one such trend that has made a huge impact on the business and on users' life. It has defined a way to bridge the gap between the users and the business. Leading and top giants of the industries are seeking huge interest in integrating Artificial Intelligence with mobile apps. The top example of investment in AI is Google acquiring DeepMind for $400 million.
 

Fact Alert: McKinsey Global Institute study suggests that big players like Google and Baidu spent around $20 to $30 billion on Artificial Intelligence in the past one year. Out of which 90% was spent on R&D, and 10% was spent on AI acquisitions.

When Google has seen potential in AI then we wonder what else can convince you on the plethora of opportunities being offered by AI. It's quite prudent that AI inculcated with mobile apps are supposed to bring changes in the healthcare industry, travel, finance, education. 

Amalgamation of the two most powerful segments- AI & mobile apps aims to discover new ways to meet users’ expectations. However, you need to find a reliable mobile app development company with experience in creating AI powered mobile apps. 

 

Let’s dig deep and explore how Artificial Intelligence is shaping and impacting the mobile app development industry.

 

1. Enhanced User Experience

 

At the end of the day, it all comes down to fulfilling users’ expectations. The use of AI in mobile apps promises to enhance user experience. AI enabled mobile apps can extract a lot of user information based on the usage of apps. This information can further be analyzed to understand the behaviors of the user and help users with the support whenever needed. 

 

The best example we can use here is the usage of bots. These bots help users with any kind of support needed and based on the inputs given by a user, suggest the best possible answer. It has eventually been trusted as better than regular customer services.

 

In fact, it’s predicted that by the year 2025, 95% of all customer interactions will be AI driven. This again is an achievement since it brings a lot of scope of digital touch in the lives of the user and delivering them services without any delay.

 

2. Personalized App Experience

 

AI infused mobile apps are proven to be a great source of personalized app experience to users. Every user is different and so are their needs. If we follow one size fits all theory even today, there’s going to be a rift. Enterprises believe in providing services that exceed users’ expectations.

 

Companies like Starbucks & Amazon have enabled AI in their mobile apps to provide a personalized app experience. By adopting this way, apps pay close attention to the needs of the customer by reading their behavior pattern and suggest solutions apparently at the same time of day when customer need it.

 

For instance – By reading the behavior of a user on the Starbucks app, the app can suggest the same cup of coffee that was ordered by the user last time. Another great example is voice recognition technology to provide a personalized user experience. 

 

3. App Security

 

We have discussed a lot about growing trends and how security is important in the trends in our previous blogs. We have always been vocal on the concern of security since it’s the main thing that hooks a user on an app. A weak security panel on an app may discourage user to continue using the app.

 

Security breaches have not spared even top companies. No matter what application you are creating, you must make sure that your mobile application development company have created robust architecture, addressing all types of security vulnerabilities. 

 

AI enabled mobile apps are one of the solutions that look after the need of keeping the user data safe and secure from any external possible threat. With the use of technologies like Machine Learning and Predictive Analysis, it has become easier to make app security related predictions and assess vulnerabilities in advance. Any unusual user behavior, pattern or signal prompts alert so that appropriate action could be taken to save the data.

 

4. Automation

 

Automation is a big deal in today’s time. And why shouldn't it be? It eradicates the need of the user to pay attention to unnecessary tasks and let automation to handle things like this. With AI infused in mobile apps today, more emphasis is on reducing human intervention and promoting decision making by app easily.

 

For instance – Earlier user used to book cab either manually or through a mobile app. But today, all you need to do is just ask a virtual assistant to book the cab and it would do it. Such is the power of automation.

 

Another example to be considered is whenever there is traffic on the route, Google maps automatically suggest a faster or alternate route to the destination.

 

Conclusion

 

Finally, to conclude with, no doubt that AI is one of the trends that has increased the pace of developments in many sectors of the market. However, when infused with mobile apps, it has given more than the best results as mobile devices are closer to the user in terms of reachability. AI enabled mobile apps has empowered users to gain the best advantages possible and make life easier than before.