Building advanced mobile apps – Use Artificial Intelligence & Machine Learning

AI and Machine Learning for Mobile APPs

AI and Machine Learning for Mobile Apps

Till now, most of us are aware of Artificial Intelligence (AI). With AI Penetrating in almost every sector, Mobile Apps are also coming under the radar of the same. Researchers have predicted that Artificial Intelligence and Machine Learning will come together as a team and will help in streamlining programming and meet several business demands in the near future.

In today’s world, it’s not a secret that plenty of businesses are struggling to meet the internal demand in developing apps. At such an increasing demand, the uses of AI as well as machine learning are bound to come together and provide miraculous result







Gartner Report

Based on the Mobile App Development trend which will impact your enterprises found that “More than a quarter enterprises of the world is not built, virtualized or even customized any mobile app since the past 12 months.” Also, it was found that on an average, 우리가 성장하는 인구 전망을 보면 비참한 숫자 일뿐만 아니라 매우 가파른 8 개의 앱이 최신 버전으로 배포됩니다.,,en,Mckinsey의 연구,,en,Mckinsey Global Institute에서 실시한 한 연구에 따르면,,en,Baidu 및 Google Spent와 같은 특정 기술 대기업은,,en,10 억 ~,,en,AI에 10 억,,en,올해,,en,그것은 엄청난 양이었다.,,en,엄청난 돈을 쓰는 데,,en,연구 개발에 쓰였고 남은 것은,,en,AI 획득에 쓰였다.,,en,AI가 확장되는 주어진 속도,,en,그 해,,en,받은,,en,AI와 비교했을 때 인공 지능 분야에서 더 많은 투자를했습니다.,,en,총 투자액은,,en,이 현대 세계에서 AI의 진정한 가치와 힘이 입증 된 10 억,,en.

Study by Mckinsey

According to a study conducted by Mckinsey Global Institute, it was reported that certain tech giants such as Baidu and Google Spent around $20 Billion to $30 Billion on AI, in the year 2016 which was quite an enormous amount. In the usage of that hefty amount of money, 90% was spent on Research and Development and the remaining 10% was spent on AI Acquisitions.

The given rate at which AI is expanding, the year 2017 received 3 times more investment in the field of AI when it was compared with the 2016. The total investment was about $40 Billion which was proved the real worth and power of AI in this modern day world.

Actual Work of Artificial Intelligence and Machine Learning in Building Advanced Mobile Apps

During the earlier days, an app named MyDays was focused only on one feature which was offering their customers a smart reminder for their day to day task.

It use to send reminders for checking the Basal Metabolic Temperatures, getting an accurate reading, checking temperature after waking up and much more.

The Problem Here Was

The App missed out on one of the essential functionality. It didn’t know when its user wake up which was truly a sudden setback.

The Solution

With the help of Artificial Intelligence and Machine Learning mechanisms, MyDays became much more aware which made sure for women’s to check their BMT more often and in return spend more time with their app. All this was possible with the help of sending those timely reminders.

With the help of Artificial Intelligence, users’ data can be easily transformed into critical insights related to their various day to day physical Activities.







Neura Integration

Also with the Integration of Neura with the current mobile app, MyDays was able to leverage the benefits of Artificial Intelligence and made the user engagement a lot healthier and in return generated a hefty amount of money from that company.

All in all, the user-group who was receiving artificial based reminders had a whopping 18% higher user engagement rate than any other group. All this was only possible with the fusion of AI as well as machine learning curbed in MyDays App.

Lola- An App based on Artificial Intelligence which helps in planning Trips just by sending Text Messages

What if I told you that booking your vacation is as easy as talking with your loved ones over the phone? Sounds too good to be true, right?

There are many more mobile apps available in the market which offers a great list of features but nothing can beat Lola in their functionality.

Integration of a Chatbot

With Chatbot forming an essential component of Lola, it does help you connect with the local human agents but only for some basic questions like “where do you want to go”,” which hotel will you prefer?” For such questions, Chatbots can do a pretty decent job for you.

An app known as Kick which was started by Kayak Founder, Paul English has gained immense popularity and here is how this app works to help personalize the user experience.

At first, you will need to set up an account, enter your essential credit card information and further send a message to one of their representatives like I need to go on a trip to Canada.

The Simplification of this app is so amazing that you can request for a booking in such a way like you chat with your best friend while typing – need a flight to Canada next week.







Working of Artificial Intelligence in this Case

Here, the message requests are parsed by Artificial Intelligence and then are forwarded to Human agents for further processing.

Once you are ready to book, Lola does the further processing and gives you the best available option from the lot.

Artificial Intelligence + 모바일 기술 = 멋진 앱 게임 체인저,,en,~에 따르면,,en,가트너 연구,,en,세계 최대,,en,회사는 인공 지능과 기계 학습으로 구동되는 앱에만 의존합니다.,,en,이러한 일들은 완전히 새로운 사용자 경험으로 고객을 데려 갈 것입니다,,en,Localytics에 의한 연구,,en,Localytics 연구에 따르면 "유지율은,,en,2016 년에. "그러나.,,en,이것은 아직도 앞으로 올 수있는 많은 것들이 여전히 남아 있기 때문에 여전히 기뻐할만한 것이 아닙니다.,,en,최종 평결,,en,앱 소유자로서,,en,그들은 세계 시장에서 견딜 수있는 지능형 앱을 제작할 때 인공 지능과 기계 학습을 실제로 봐야합니다.,,en

By 2018, according to Gartner study, the world biggest 200 companies will solely rely on apps which will be powered by Artificial Intelligence as well as machine learning. Such things will take the customers to a whole new user experience.

Research by Localytics

In 2016, Localytics research showed that the” retention rates have slightly improved from 34% ...에서 2015 to 38% in 2016”.However, this is still not something to rejoice about as still there are many more things which are yet to come in future.

Final Verdict

As app owners, they really need to look up to artificial intelligence as well as machine learning in building intelligent apps which can withstand in the global market. Also, plenty of the Mobile App Development Companies have opted for the same and are implementing AI as well as Machine learning in their apps. As of now, it will be a thrill to see what the future has got for the global consumers in terms of the growing AI power and functionality.







Author Bio: James Grills is a technical writer with a passion for writing on emerging technologies in the areas of mobile application development and IoT technology. He is a marketing advisor – currently associated with Cumulations Technologies a mobile app development company in India.

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