10 Ways AI is Revolutionizing Mobile App Development
Published On : September 16, 2022 Category(s) : Apps
AI has many applications in the modern world, but one of the most exciting ones for me personally is how it can be used to build mobile apps more quickly and easily than ever before. If you’re an entrepreneur, investor, or mobile app developer, then you’ve heard the term AI used more and more frequently over the past few years. But what exactly does it mean, and how can it help improve your business? In this article we explore 10 ways AI is revolutionizing mobile app development as we know it, from machine learning to natural language processing to computer vision and more.
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1) Predictive Analytics
Predictive analytics is one of the most popular applications of artificial intelligence in mobile app development. By analyzing past data, predictive analytics can identify patterns and trends that can help businesses make better decisions about the future. Businesses use this technology to anticipate customer needs, improve customer experience and increase revenues. Predictive analytics helps companies build more personalized customer experiences by predicting the needs of each individual user with a high degree of accuracy.
2) Automated Testing
Automated testing is one of the most important aspects of mobile app development. It helps ensure that your app is functioning correctly and that there are no bugs. AI can help automate this process by identifying potential issues and testing for them. This can save you a lot of time and money in the long run. In fact, in a recent study by ComplyAdvantage, 87% of IT professionals said they had experienced cost savings from using automation. What’s more, 86% reported increased productivity and 84% reported improved application quality as well.
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3) Natural Language Processing
Artificial intelligence helps in natural language processing by deciphering text and understanding the user’s intent. This allows for more accurate results when a user searches for something within an app. In addition, NLP can be used to generate automatic responses to customer queries, saving time for businesses.
4) Robotics Process Automation
Robotics Process Automation is one of the most important applications of AI in mobile app development. It helps developers automate repetitive tasks, like testing and building apps. This not only saves time, but also helps improve the quality of apps by catching errors early on. Another advantage to RPA is that it creates a centralized hub for all company data – including documents, emails, files, etc. – so if an employee leaves or changes roles they can be easily replaced with no interruptions to the team’s workflow. Thanks to RPA there are few instances where humans need to touch any data. With this automation tool there’s little chance of human error, which means less confusion among colleagues.
5) Computer Vision & Image Recognition
Machine learning algorithms analyze and recognize patterns in images faster than humans can. This helps developers quickly create apps that can, for example, identify objects in pictures or read text from images. In the future, computer vision will become even more powerful as it gets better at understanding the context of an image (for example, identifying a person’s mood from their facial expression). This will enable developers to create even more innovative and useful mobile apps.
Augmented reality (AR) is another area where AI is revolutionizing mobile app development. AR apps use the camera on a mobile device to superimpose digital information on the real world.
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6) Chatbots
Chatbots are computer programs that simulate human conversation. They are commonly used in online customer service to speed up and automate support. Chatbots can also be used to provide recommendations, promote products or services, or even sell things.
Many chatbots use artificial intelligence (AI) to improve their accuracy and speed. Some chatbots are designed to mimic human conversation so well that they can pass the Turing test, which measures a machine’s ability to exhibit intelligent behavior that is indistinguishable from a human’s. However, not all chatbots are created equal. Some chatbots are better at understanding natural language than others.
7) Recommendation Engines
One way AI is impacting mobile app development is through the use of recommendation engines. These engines help to surface content and products that are most relevant to the user, based on their past behavior. This personalized experience can keep users engaged with your app, and coming back for more. The engine could recommend new podcasts or podcasts similar to those they’ve listened to in the past, which keeps them entertained without requiring a new search. It could also recommend new books or articles similar to ones they’ve previously read, which helps them continue reading where they left off instead of starting over from scratch.
8) Machine Learning
Machine learning is a subset of artificial intelligence that helps computers learn without being explicitly programmed. In other words, it enables apps to get better over time without human intervention. This is done by feeding the app data sets that it can use to improve its performance. For example, with voice-controlled virtual assistants like Siri and Alexa, machine learning helps create natural conversations by predicting what might be said next.
9) Natural Language Generation & Text-to-Speech Engine (TTS/NLP/ASR).
With the help of AI, mobile app developers can now create apps that can generate text and speech. This is made possible by the fact that AI can understand human language and convert it into text. Additionally, AI can also help in generating realistic voices for the text-to-speech engine. This is helpful for people who are not native English speakers or who have difficulty speaking.
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10) Deep Learning / Neural Networks / Machine Intelligence
AI helps in automating the tasks which are difficult for humans to do like data analysis, making predictions, etc. Machine learning algorithms used in mobile apps can help improve user experience by providing recommendations, ads, and content. Neural networks are being used to develop virtual assistants like Siri and Cortana.
Deep learning is being used to develop self-driving cars. Machine intelligence is being used to develop drones. AI is being used to develop smart home devices like Google Home and Amazon Echo.
Conclusion
AI has really revolutionized the mobile app development industry. It’s allowed developers to focus on creativity and not just the time-consuming aspects of coding, for example. It’s also helped developers and users save time, by simplifying processes like text and image recognition, which are some of the most time-consuming tasks in programming an app. As AI continues to improve, it will undoubtedly continue to help change how people develop and use mobile apps development today.
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