As the demand for cutting-edge applications continues to rise, businesses are increasingly turning to AI development companies to integrate advanced features and capabilities into their mobile apps. These companies specialize in harnessing the power of Artificial Intelligence to enhance user experiences, optimize processes, and drive innovation. For entrepreneurs venturing into mobile app development, collaborating with a reputable AI development company becomes crucial for staying at the forefront of technological advancements.
As the demand for innovative mobile applications grows, the integration of AI technology becomes increasingly essential for enhancing user experiences. One noteworthy facet of this technological evolution is the emergence of generative AI technology, which is revolutionizing how applications are developed and adapted to user needs. Statista’s report underscores the global significance of this trend, revealing a projected market value exceeding 1.7 billion U.S. Dollars by the end of 2020, highlighting the profound impact of generative AI on the mobile app industry.
Before we approach the top benefits of AI in mobile apps, let’s revise:
What is Artificial Intelligence (AI)?
As the demand for innovative AI applications continues to grow, integrating a conversational AI chatbot solution into your mobile app can enhance user engagement and provide a personalized experience. Leveraging custom software developers skilled in crafting tailored solutions for conversational AI, you can create a seamless and interactive interface that adds a unique dimension to your app, unlocking new possibilities in user interaction and satisfaction.
Here is a list of top 5 AI benefits that you can’t ignore.
- Optimizing the User Experience (UX)
AI integrated mobile apps automate lots of our daily errands. From augmented reality (AR) to cab apps, they are almost everywhere to support us. Well, Google lens is one such example showing how AI can make daily work easier. With Google lens, all you have to do is point your phone’s camera at something and the app brings up relevant information about that thing. This enhances the overall in-app user experience.
Similarly, your mobile application with AI can drastically change users experience offering your app a better engagement. For that, you need to hire mobile app developers who possess knowledge and experience in AI.
- Natural Language Generation (NLG)
If your app is about customer service with natural language generation (NLG), you can tap vast data automatically producing informational pieces for your mobile app. The technology advancements in NLG and cloud solutions are helping the journalism industry. Leading media companies like Urbs Media are generating stories or articles based on data by using NLG robojournalism programs. This increases the overall efficiency of the app functionalities.
- Learn users’ behavior patterns
Natural Language Processing (NLP) combined with Machine Learning (ML) offers a realistic interaction according to the users’ preferences. This combination comes with the capability to learn users’ behavior patterns for seamless interaction. For example, Netflix uses ML for gathering data about users’ past behavior. All of the service or content recommendations are based on this information collected on the user’s previous choice. Here the goal is to understand user behavior as quickly as possible so that Netflix can make users’ interaction more meaningful.
- Conversational User Interfaces (CUI) for better communication
CUI offers the freedom of interacting with the computer on human terms. Though speech recognition isn’t new to us, CUI is making it more robust for better communication. Mostly, Finance and Management Apps are using chatbot in their application where the users can interact via voice or text message. The bot also analyzes spending, payments, balances and more to give the best financial recommendation to the users.
- Offering automated reasoning
To enhance the productivity of the app, automated reasoning can solve problems within a couple of minutes. Take a real-world example of Uber. Uber uses automated reasoning to find the shortest routes to drop you to your destination faster. This algorithm gathers data from other cab drivers who have traveled similar routes and learns from their trips.
Among all the examples of real-world, Amazon is the leader in using AI and ML. Amazon Alexa AI app software offers some extra-ordinary user experiences in incredible ways.
Integrating AI in mobile apps involves a lot of work. You must immerse in nurturing your idea of an intelligent mobile app for the best outcomes. In the future, we are likely to see more AI apps transforming the way we interact with brands.
