How to find the best ways of Applying Artificial Intelligence in Mobile Applications


Share on LinkedIn

Mobile app development Melbourne adopts the latest technologies, trends and tools for intuitive mobile app development across different platforms as well as industry verticals. Mobile app service providers find ways to implement AI in mobile apps.

While mobile applications continue to be the main focus for an organization, there is a growing interest in AI or artificial intelligence technologies. Gartner has predicted that intelligent applications would be one of the top strategic trends this year and indeed it is. When an application claims to be powered by AI, it feels as if we are in the future. Mobile app development services today are using artificial intelligences to develop mobile applications.

Neural networks are not the right solution for everything. Yet, they excel in dealing with complex data. Most of the time, applying artificial intelligence in mobile still is associated with integration of personal assistants. Nevertheless, there is a bigger perspective to that—AI is used in studying habits inside the different applications and serve users better. Thanks to artificial intelligence solutions application creators and marketers now are closer to understanding user behavior on the application via actions, preferences, likes, purchases and more. Deep learning is a science of teaching machines to recognize patterns and apply the learnings to solve different complex queries. Also, it enables learning user’s behavior patterns to make future sessions seamless and personalized.

Another feature that takes a considerable place in mobile is sentiment analysis used for application analytics. For instance, Appbot offers users with such useful piece of information as sentiment analysis of application reviews from Google Play Store and Apple Store. It could be used to gain understanding of opinions, attitudes and emotions expressed by customers. The understanding of customer enables providing the most relevant features and content. Getting new users for an application is time-consuming, tough and expensive. However, selling more to existing customers and acquiring the maximum revenue from a mutually beneficial relationship is one of the key drivers of growth for any organization.

Mobile development these days would be more relevant and useful with AI integration. Check out these main uses instances to apply artificial intelligence in mobile applications.

1. Automated reasoning. It is the art and science of having computers apply logical reasoning for solving problems, for instance, to prove theorems as well as solve puzzles. This way, artificial intelligence machines beat humans at chess and Jeopardy. Uber uses automated reasoning to optimize routes and get riders to their destinations quicker. The algorithm takes millions of data bits from Uber drivers who’ve travelled the same routes and learn from their tips.

2. Learning behavior patterns. Majority of platforms have the ability of learning user behavior patterns to make the next session much simpler. For instance, Snaptravel is half-human, half-bot hotel booking service that uses natural language processing as well as machine learning for a realistic conversation with users that suit their preferences. If a user stumps the bot with a request, a human agent will intervene and teach the bot how not to make the same mistake the next time.

3. Recommendation services. This is the most effective and simplest apps of artificial intelligence in mobile applications that could be used in almost any solution. The reason why most applications fall within a year after launch is that they are unable to provide relevant content to engage users continuously. By monitoring choices, users make and insert them in a learning algorithm, applications make recommendations which users will likely be interested in. This is a powerful revenue source for such entertainment application like Netflix.

More Applications use artificial intelligence for people, like blocking and removing offensive posts on social media. Soon AI would take the limelight and the applications would move to the background. Today’s main smart phone launches promote AI as a life-changing feature. Artificial intelligence has been present in mobile phones for some time now powering voice assistant features such as Google Assistant and Siri for instance. Nonetheless, in the previous phones generation, AI was cloud-based and needed an internet connection to be accessed. What is different about artificial intelligence on mobile devices it that new generation smart phones would combine cloud-based AI to in-built AI engines on the hardware. The novelty has been announced by tech giants Apple, Google and Huawei.

Although privacy and data issues generate concern at present, AI has been around for over twenty years and that, while in most instances is not experienced by a user directly, it’s been used for optimizing technology systems for a while. Artificial intelligence is not just the most revolutionary feature today, but its use in mobile devices could be an integral help in day-to-day life. It always has been an extension of human behavior and helps or amplifies what people do and make things easier.

Artificial intelligence enable capabilities that are extremely relevant to mobile devices use. AI is all about performance, personalization and energy saving.


Please enter your comment!
Please enter your name here