The Future of AI (Artificial Intelligence) in Mobile App Development
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27 Jun
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Have you ever imagined a world where your mobile app can read your mind and anticipate things for you? Yes, the AI-enabled assistants in your mobile apps can anticipate your needs and preferences along with providing you with the right suggestions before you think.
Take an example that you’re on the way to the office and running late and your map application suggests you the fastest route, and excellent ways to avoid traffic jams in rush hours. Can’t believe it? You should believe it because it isn’t fiction but the AI features in mobile apps.
Right from virtual assistants to image recognition and the like, AI (Artificial Intelligence) in mobile app development tends to unshackle new and innovative features. In this article, we’re going to explore the future of AI in mobile app development.
Let’s Explore!
The Key AI Technologies In Current Use
AI undoubtedly has made significant advancements in the mobile app development landscape. Mobile app developers are using various AI technologies to enhance experiences and provide innovative features. There are different AI technologies that are being used, however, the following are some key tools that you should be aware of:
Computer Vision— The very technology allows applications to identify as well as process videos, and images in an intelligent manner. Pinterest Lens, Google Lens, Bixby Vision, and the like are making use of computer vision for object recognition, visual search, and augmented reality experiences.
Machine Learning— It’s a subset of AI that enables apps to learn from data, and identify patterns as well as anticipate and make informed decisions with no need to be explicitly programmed. Apart from that, applications like Spotify and Netflix make use of machine learning to offer customized recommendations according to the user’s historical data prepared based on their viewing and listening preferences.
Natural Language Processing (NLP)— NLP enables mobile applications to understand, and create human languages. There are virtual assistants like Google, Siri, and Alexa that tend to use NLP to comprehend the voice commands of users to engage in conversations through mobile apps.
Emerging AI Trends In Mobile App Development
The future of AI in mobile app development seems to be super exciting. There’s a multitude of emerging trends promoting smarter and more intuitive app experiences. Look at the emerging trend of AI in mobile app development!
AR (Augmented Reality) and Computer Vision
AR and computer vision are the trends of AI in mobile apps. Combining AR with computer vision will unleash new and interactive app experiences. For example, your mobile apps will be able to let you visualize furniture in your room before you purchase it. This is just a single example as there are many examples of AI-enabled apps.
Advanced Conversational AI
The next one of the AI trends in mobile app development is Natural language processing (NLP). It’ll become way more sophisticated, allowing virtual assistants and chatbots not only to understand but respond to your questions with human-like conversations in a variety of languages.
Predictive Analytics
Predictive analysis is another one of the AI trends in mobile app development. AI will allow mobile apps to assess user’s historical data, thereby predicting their needs and preferences. For instance, your AI-enabled fitness application will be able to anticipate the very time when you’re most likely to work out. In this way, it would be able to provide personalized routines and reminders.
On-Device AI & Edge Computing
On-device AI & edge computing tend to be the next one of the examples of the AI revolution in mobile apps. It’s a big deal to run AI models right on your mobile devices rather than in the cloud. It means your privacy would be protected in a better way with faster proceedings, and you can use your app with no need for internet connection.
Explainable AI
The next one of the AI trends in mobile apps is explainable AI. The mobile apps will soon incorporate explainable AI techniques aiming to provide recommendations and actions. Explainable AI enables the AI system to ascertain and clarify why it made a specific decision and how it approached those conclusions that will be easy for humans to understand.
It is crucial specifically in mobile applications where AI decisions could have significant impacts, for instance, education, finance, and healthcare.
Multimodal Interfaces
It would be another AI trend in mobile app development. Multimodal interfaces mean that mobile applications will be able to integrate various modes of input which involve touch, gaze tracking, voice, and gestures. With this, users will be able to interact with applications making use of a combination of these modalities. It’ll make the experience more natural.
Complete Process Automation
Intelligent process automation is another one of the trends of AI in mobile apps. It’ll revolutionize many industries by automating repetitive tasks, and workflows, making a significant difference to the decision-making procedures. For example, AI-enabled assistants in a mobile application will be able to simply schedule meetings, create reports, and prioritize emails with smart handling of data entry tasks as per predefined rules and learned patterns. AI will do so automatically without human interruptions.
Emotion and Sentiment Analysis
AI models will be able to point out and respond to user’s emotions and sentiments that are expressed via voice, text, or facial expressions in the mobile applications. It’s an exceptional ability of mobile applications that will provide tailored experiences to users. For example, a mental health mobile application can easily analyze a user’s tone and facial expression and by doing so can measure their emotional state. In this way ensuring an appropriate cure will be convenient.
Future of AI in Mobile App Development
AI has a lot to do with bringing drastic change in the way mobile apps are designed, developed, and utilized. AI integration into modern-day mobile apps opens up the next-level of competencies for these apps. Let’s look at the future of AI in mobile app development!
Predictive Maintenance— The use of AI will help analyze data from IoT devices to anticipate any need for maintenance. It’ll be helpful when it comes to lessening breakdowns and speeding up operational efficiency.
Healthcare— AI can be used to build mobile apps with capabilities to monitor patients’ health remotely with the help of IoT devices. It’ll ensure early detection of different kinds of health issues to enhance patient care and outcomes.Â
Autonomous Systems— AI will be used to automate systems and operations. It can be used to allow IoT devices to make decisions and take appropriate actions with no intervention from humans. Examples of this could be drones, self-driving cars, and the like.Â
Smart Homes & Buildings— AI can be utilized in homes and buildings as well. AI can be employed to take control and optimize energy consumption in smart buildings. It would be able to improve energy efficiency while making drastic changes in cost reduction.
Supply Chain Management— AI can be used in supply chain management to ensure better outcomes. AI in supply chain management will support optimization of inventory levels, streamline delivery, and reduce cost.
Wrapping UP!
That’s all there’s to it! AI and IoT integration is still in its early stages, but it has the competencies to completely revolutionize various industries and enhance the way operations take place. With IoT devices and AI advancements, industries will experience considerable changes and development in the upcoming future.
That’s all about the future of AI in mobile app development! Now that you’ve become aware of the future trends and future of AI in mobile apps, you may be wondering how you can leverage it. If you’re, contact us to know it in detail!
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