“The thing that’s going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.”
— Dan Brown
Artificial intelligence has impacted every industry you can think of and mobile app development is not an exception… In fact, it is predicted that AI-based apps and software are predicted to generate $118.6 billion in revenue by 2025. Not only that, but global GDP is also expected to reach $15.5 trillion by 2030 thanks to the rapid adoption of artificial intelligence in different industries including software and mobile app development.
Powered by artificial intelligence, mobile apps can become smarter and understand human behavior patterns. This allows businesses to get a sneak peek into what their customers prefer and make it easy for them to personalize the user experience. Developers and mobile app development companies are still experimenting with new ideas and exploring new ways to fuse artificial intelligence and automation with their mobile applications.
If you are a mobile app developer who is still confused about ways in which you can incorporate artificial intelligence into your mobile apps, then this article is for you. In this article, you will learn about seven effective ways in which artificial intelligence can easily be integrated into mobile app development.
Every user has different needs, but you cannot create a separate app for every user, but you can deliver a personalized user experience thanks to artificial intelligence. AI-enabled apps can not only track user behavior but can also provide them with personalization recommendations and personalized user experience by analyzing their past usage pattern. Same goes for special offers and discounts as well as content recommendations. All these things can significantly enhance the mobile app experience for users.
Netflix, Spotify, Uber, Amazon, and Instagram are some of the best examples of applications that offer a personalized app experience. Netflix has saved billions by offering personalized content recommendations while Amazon shows you a personalized page with products you might be interested in.
Michael Brenner summed it up brilliantly when he said, “If you want to cut through the fat and emerge as a brand your buyers want to engage with, your marketing has to seamlessly resonate with your buyer’s goals, interests, and preferences.”
According to chatbot statistics, it is predicted that 85% of customer interactions will be handled without human involvement. With billions of people already using chatbots, businesses will replace their customer support staff with chatbots. As chatbot technology matures, we might see chatbots that will answer questions like a human. That is why many businesses are investing heavily in chatbot technology.
Most customers whether they are in the middle of making a purchase or need some help or have a question tend to prefer chatbot more as compared to talking to a human customer support representative because of its ability to answer questions quickly and effectively. Soon you will be talking to a chatbot when you are seeking help or talking to a customer support staff.
3. Speech Recognition
What makes artificial intelligence so powerful is its ability to recognize human speech. By embedding speech recognition technology into apps, users can perform tasks without laying a finger on their phones. All they must do is speak out commands and the speech recognition engine will first recognize, decode, and transform your voice into machine code so the machine can easily understand it. Google Assistant, Siri, and Amazon Alexa are some of the best examples of speech recognition.
4. Natural Language Processing
Researchers and scientists have long been working to remove the communication barrier between humans and machines. Whether machines must communicate with humans or humans have to communicate with machines, language conversion needs to take place to make it easy for other parties to understand the message.
After the advent of natural language processing, this is about to change as it serves as a gateway between human-computer interaction which is taking place with the help of natural language. This technology is still in its developmental phase, but we are already seeing it being used by language translation apps, market intelligence and insight, sentiment analysis, and character recognition. It is also being used for text classification and other applications.
Artificial intelligence can also play a pivotal role in improving the security of our mobile apps and data. Apart from being used for voice control, image recognition, and gesture controls, it can also be used to identify human behavior and even physical aspects such as shape, size, and structure of a human body when used in conjunctions with the right sensors. This will ensure that unauthorized users won’t be able to access your devices, your apps, and your data. This will also pave the way for the creation of secure apps in the future.
6. Decision Making
With smart apps powered by artificial intelligence, users can perform tasks quickly and efficiently too with minimal effort. It minimizes human involvement and streamlines the processes while improving productivity and efficiency. Thanks to artificial intelligence, you no longer must analyze huge data sets before making any decision manually. AI will do it for you and assist you in taking the right decision at the right time.
7. Context-Driven User Experience
Your smartphone is capable of sensing your location, which allows mobile apps to use that data and create a context-driven user experience for users. App developers are using advanced AI algorithms to identify user location along with other factors and allow businesses to send relevant and user-centric messages, recommendations, and content.
The more contextually aware your app might be, the better the user experience it can deliver to satisfy the user needs. Personalization and context-driven user experience allow brands to connect at a deeper level with their target customers, which would pave the way for long term relationships.
Do you use automation and artificial intelligence in your mobile app development?
If yes, how?
Let us know in the comments section below.