The Rise Of AI In Native Mobile Apps


“If it seems to be conscious then it probably is.”

That’s a concise way to sum up the Turing Test, an assessment proposed by computing Alan Turing to determine if an Artificial Intelligence(AI) system is intelligent in the same way that we are.

There are a lot of hurdles for an AI to overcome for it to be recognizably conscious, but along the way it can be a big help in making technology easier and friendlier to use. For mobile app users, this can mean virtual assistance, insight generation, and automating manual processes that would otherwise be a chore. Mobile reaches customers wherever they are and AI helps make their experience all that it can be. Here are some of the top ways that AI is doing so:

Virtual Assistants
According to PR Newswire, a whopping 80% of consumers use mobile devices to make purchases rather than go through a salesperson. By 2020, mobile transactions will make up nearly half of the $632 billion in worldwide ecommerce sales. That’s a tremendous market, meaning that standing out will be essential – and AI-driven customer assistance is proving to be the best way to do it. AI can help provide the personalization and quality assurance of a salesperson while still working with the convenience and speed of mobile-based ecommerce transations. Most mobile users are now familiar with chatbot services like Apple’s Siri and Microsoft’s Cortana, making the jump to personalized commercial assistants an easy one to see.

 

Mobile Ads
Forrester, an American market research company, declared Artificial Intelligence to be the core force driving the future of mobile advertisement. AI can be a big help in making sense of tremendous amounts of data, including which ads are most effective in which contexts. AI might even play a role in creating the ads themselves – in May of 2016, McCann Japan introduced the world’s first “robot creative director”, deploying AI to produce ads and running them alongside ads produced by humans, aiming towards achieving comparable results. The fruition of that project may be a long way off, but the fact that big companies like Facebook are getting on the AI-ad train is good evidence that the trend is there.

 

User Engagement Analysis
How could your app be improved? What parts of your app do users enjoy the most? What parts of your app to users skip over?
Relying on user reports to obtain this information can be spotty at best. AI can not only help obtain this data, but can make sense of it in real time and make apps better even as users are engaged! If a user looks at a part of the app for an above-average duration of time, AI can be made to help guide the user through your app in a way that brings more of that content to their fingertips. The more the user uses your app, the more interesting and engaging it gets!

 

Future Trends
The market for AI is expected to grow from 2014’s $419.7 million to $5.05 billion by 2020, sporting an annual growth rate of 53 percent. That’s huge! One primary factor driving this trend will be the ease of integration of AI and mobile applications – the more these two trends grow together, the better the overall mobile experience will be and the more everyone in the market can prosper.