When speaking about artificial intelligence (AI), the first things crossing the mind are probably Siri, Alexa, or Cortana. According to the latest reports of McKinsey Global Institute, Google and Baidu are spending billions of dollars for AI.
The idea of a smart assistant that can solve everyday tasks attracts millions of users in all business spheres, not to mention, education, healthcare as well as finance. But AI doesn’t limit to smart assistance, it’s going further and further. Today lots of mobile apps are taking advantage of AI to improve user satisfaction.
The following article sheds more light on how an intelligent voice can change the world of mobile apps.
What Is AI and How Does It Work?
AI is widely spoken about but what is it exactly? To put it simply, AI is a particular computer system that can do things normally done by people. The AI technologies offer a high level of intelligence by analyzing real-time information in relation to usual human actions as well as behavior.
AI consists of the following sub-disciplines:
- Machine learning
- Language processing
- Machine vision
- Context management
Taking into account the AI’s capabilities, there is no need for typing the commands, we can do everything with the voice. AI can process nearly every command. Let’s take Siri for example, a smart assistant can write a note, send a message, pave the shortest route for you. All you need is to say “Hi, Siri!”, AI will do everything else for you in minutes.
AI possibilities have no limits at all. From the perspective of mobile apps, AI could be implemented in the form of chatbots or any other context-aware sensors. Nowadays lots of companies go for an AI-component in mobile apps to engage and retain their users.
AI is often associated with machine learning and deep learning, but these things are entirely different. Machine learning is a sub-discipline utilizing the AI possibilities to entitle the machines with the ability to learn, and deep learning is a branch of machine learning aimed at imitating the human brains in the data processing. Actually, AI creates a technological base for machine learning as well as deep learning.
AI Transfroms Business
With the advent of AI, the way apps collect, sort, and store data has changed. Nowadays developers have to spend more time finding the way to feed the information into the machine learning algorithm to make apps smarter. This helps deeply engage customers providing more incentive to use their services. In short, mobile devices are ideal platforms for AI-based applications.
Modern devices offer a wide range of features to unlock the potential of AI such as GPS, microphone, camera, etc. Moreover, Apple has recently revealed the iPhone X equipped with a new bionic chip that opens up new horizons for app developers. This chip features a particular neural engine that allows Face ID scanning. Combing built-in features with AI makes apps more relevant and personalized.
More Personal Than Ever Before
AI takes hold in a huge variety of spheres especially the retail. Amazon and eBay have already proved that AI is worth investing. Many retail apps feature particular AI-based algorithms that can adapt and adjust based on the human behavior.
These algorithms collect data, find trend and adjust the app to offer more personalized experience. For example, the Starbucks app collects the user preferences to find out what the user wants and to place the order. The so-called AI-powered apps can perform daily tasks without human intervention. Thus making the life easier and burden-free.
There are no limits for AI, and Alexa is an ideal evidence of how AI can help tackle routine home chores. Alexa is a smart voice-controlled home assistant brought by Amazon. Alexa can hold the everyday chores automatically.
There are still lots of ways to capitalize on the advantages of AI offers as it connects users to the brands.
The increased role of AI in mobile apps has proved its value in the business growth as well as user engagement. Here is how AI can help you understand the users:
- AI can collect and store the user data by analyzing the behavior and how the users interact with the app
- AI collects the essential data such as location, contacts, daily actions to serve the users better
- AI products level up the user engagement and involvement
The advent of AI actually drives a new class of mobile apps. Undoubtedly, AI has been influencing the mobile app development since the introduction of Apple’s voice assistant. But its potential has never been exploited to the utmost.
In the coming years, AI will become an integral part of any mobile app. But these are consumers who push the developers to find ways for a more intuitive experience. The consumers get away from overloaded websites and tend to integrate the technologies into their lives seamlessly with smartwatches, smart home systems, and voice assistants as well.
Want to add some intelligence to your app? Contact us and we’ll find how to make your app smarter than ever before.