How to Implement Artificial Intelligence in Mobile App Development?
Do you know AI is the biggest trend in the mobile app development industry?
In this blog, we're discussing how to incorporate AI in mobile apps
Let's dive in!
Artificial Intelligence (AI) is around us in different forms, from robotic process automation in industries to smart assistants in our phones.
AI is the biggest trend in the mobile app development industry. Smartphones coupled with the power of AI have brought striking transformations to the world. Several companies have integrated artificial intelligence into their applications. While the likes of Microsoft and Amazon are rushing towards it at full pace.
Incorporating AI in mobile apps results in applications that have far greater uses and provide ease to users. Such apps can perform face recognition, text recognition, pattern recognition, speech recognition, and many more.
This article will discuss what artificial intelligence is in mobile apps and how to create an AI app. It also considers the resources needed and how you can implement them for the development of an AI-based mobile application.
What is Artificial Intelligence in Mobile App Development?
As per a study by Mickensey, AI expansion brought in an investment of $39 billion back in 2016. And it is continuing to act as a catalyst for enhancing mobile apps. AI is used in mobile apps to make them intelligent; predict user behavior and make decisions. In particular, AI helps mobile apps to learn from data generated by the users and improve user experience.
How to Create an AI-Powered Mobile App?
Now we’ve established a bit about what AI in mobile apps is, we can talk about how to develop an AI-based mobile application.
There are three essential resources:
- Data Analytics
Data is Your Power
The success of your application depends upon the efficiency and performance that are directly related to the quality and quantity of data it feeds on. Suppose you are developing a prediction application for marketers, its efficiency will depend upon the dataset you have acquired. This data is used to train machine learning models for prediction. These days there is a vast quantity of data available to choose from, but that certainly does not mean that one should overwhelm the system.
Doing that will result in a mobile application that is difficult to use. So, you need to acquire the right amount and the right type of data for your app to work efficiently.
Security is Essential
These days with the digitization of everything security is becoming one of the most important key points to focus on. Companies are striving to keep the data of their clients and users safe at all costs. Hence applications that are based on the aspect of security are preferred, but people tend to be skeptical about it.
You can develop an artificially intelligent recognition application that is suitable for e-commerce purposes and can validate users. Such apps need to be fast, secure, and reliable.
Think Big with Big Data
Data mining is one of the most important fields that researchers are focusing on these days. According to research by Lidong Wang, data mining refers to the practice of finding interesting patterns among data along with descriptive and understandable models for large scale data.
Data mining is essential in correlations or patterns in large related databases. AI and machine learning tools have made it easier to extract such information from these datasets. An AI mobile application capable of dealing with big data (mining useful information from a large dataset) proves quite useful for companies.
Your application can become more efficient by employing different collection techniques. This requires quite extensive computing power as data collection is a tough job.
Applications of AI in Mobile App Development
As said earlier technology is making life easier for everyone these days, one best example is the hands-free use of smart devices. People avoid writing paragraphs and long sentences, instead, they use voice commands. This is where your mobile applications come in handy.
You could design a user-friendly voice assistant that resolves user queries and performs tasks according to users’ requests. You can use Google’s speech-to-text engine or other natural language processing techniques to convert voice commands to texts which the AI could understand. Developing an assistant is relatively easy and requires basic artificial intelligence skills.
As with everything going towards automation, the traditional customer support is also trying out new things with chatbots. These chatbots provide answers to user queries based on predefined values or by the use of efficient machine learning methods.
Personalization is considered one of the best features that it has to offer, as personalization options could be employed based on the customer. Basic customer queries could be resolved with ease while specific queries could be forwarded to human representatives, this takes out the repetitiveness from the task. This also diminishes the need to specify “open hours” as these chatbots are available around the clock.
AI Helping with Search Optimization
Search optimization is another field that utilizes AI techniques. Companies use artificial intelligence in their search engines to make them faster and more efficient. Techniques such as spell correction, suggestions, and the use of natural language processing are actively used in this field. You can incorporate it into your AI mobile app to make it efficient and faster.
Personalized Content Curation
Personalization is the best feature that the integration of AI with mobile apps has given us, we have seen it in action in the Netflix and YouTube apps for quite a while. This idea took off because these people feel connected with these apps hence they pay more attention. With the use of AI, your app could grip the user’s attention by presenting specific content which the user enjoys. Use the recommendation and prediction algorithms to get more users to your application.
The last and most important idea we are going to discuss is the automated reasoning ability of artificial intelligence. You might have seen many examples of this in your daily life, the most prominent is its use in Uber.
Uber uses automated reasoning to come up with the shortest paths to the destinations while keeping traffic into consideration. All of this is done in real-time. Use automated reasoning when working on a stock prediction application or even while developing a simple game of chess.
Everyone is aware of the impact that artificial intelligence has had on our daily lives. And now that we are seeing its integration in mobile applications we are realizing its true potential. This has been the cornerstone for many companies that have developed great applications over the past few years and for those who have recently set foot in this environment.
The ideas presented here are a mix of different functionalities but the basic theme ‘ease for users’ lies at the core. This was just the tip of the iceberg, keep working on great ideas, who knows your mobile application might become the next big thing.