AI and the Intelligent App

Mobile App Design


Artificial Intelligence is one of the hottest trends in technology right now - and Intelligent Apps are #2 on Gartner’s Top 10 Strategic Tech Trends for 2018.


So what is AI?

Intelligence is the ability to perceive and retain information, and use it as knowledge to adapt a behavior within a certain context or environment. To put it simply, when this cognitive feature is exhibited by a computer, it’s called Artificial Intelligence.

AI mimics the working of the human brain in two broad areas: perception and cognition. Speech and image recognition come under the area of perception, while language processing, pattern recognition and automated reasoning fall under cognition. Often, both areas are needed to make up an AI system: for example, Siri, the Google assistant, or a robot. 


So why use AI in mobile apps?

AI relies on data to 'learn' and offer intelligent insights. (Machine learning, another ubiquitous term, is simply a means of achieving AI by feeding the computer lots of data and programming the system to learn from this data).  Our phones’ cameras, microphones, and location tracking can contribute to the data that can be used by an AI based app. This presents a unique environment to make apps better for users by leveraging AI.

Personalizing the user experience


This involves using machine learning to detect patterns in the user's behavior, and using that data to make recommendations that are more relevant to the user, be it in the realm of content, product, or simply the user experience. Think of the Netflix 'recommended for you' list, as an example, or the Starbucks 'recommended beverages' feature. Demographics such as the user’s location or age can also be used to deliver more personalization.

Push Notifications

The more aligned the experience is with a user’s needs and preferences, the more likely they are to use the app again. Implementing push notifications into an app has been proven to increase retention by at least 20 percent. Now this number increases sevenfold when the push notification timings are personalized, according to marketing firm Leanplum.

A carefully created design that pertains to your customers and business category: at NoMoBo, we use the latest technologies to create a responsive design to meet today's online standards for both desktop and mobile devices. We use best practices to incorporate Search Engine Optimization to your sites, and integration with your favorite analytics platform.

Voice Recognition

PVoice Recognition

One of the most noticeable ways in which AI can help apps is with speech recognition and natural language processing, which is how speech is converted to text and interpreted with context. This allows users to connect to the app in a very intuitive way, rather than clicking through buttons and selecting options.

This could increase the accessibility of the app for some users with disabilities. It helps users multitask, save time and increase their engagement with the app.

Another advantage of incorporating voice processing in your app? It can help developers make the app better because input isn't restricted to a set of buttons, and developers can take note of what users are looking for in an app.

Virtual Assistants

Speech recognition and processing, along with other features of AI, have given rise to a variety of virtual assistants. Think of Siri and Alexa, perhaps the most popular voice-based virtual assistants, or chatbots on websites. These virtual assistants make the user experience much more human-like, intuitive, and more importantly, reduce the amount of time a user spends in finding something.

Gartner predicts that, in 2018, half a billion users will save two hours a day as a result of AI-powered tools.

Image Processing

Image processing is a powerful AI tool that has gotten much more reliable in the past few years. With all our smartphones having a camera feature at the very least, this is a powerful tool that can be used to make our apps more intelligent.

An example of such an app is the classifieds app Letgo, which analyses the image a user uploads to automatically create a description and determine the category of the item for sale.

Personalization, voice and chatbots -- you’ve now seen how they can make your App more intelligent, and the user experience that much more efficient and engaging.


Contact us today to find out how we can help make your next intelligent app!


Nidhi Jaisoor

Nidhi Jaisoor is a freelance technical writer based in San Jose, CA. She has a background in information technology and is interested in technology trends, user interface design, and the conscientious use of technology in making our lives better. When she isn't writing about technology, she loves writing short-story literary fiction. Nidhi is a graduate of Texas A&M.