As per the reports by Statista, the worldwide market worth of Artificial Intelligence will cross $89 Billion by 2025.
AI is rapidly going from self-driving automobiles to the creation of robots. It is reshaping the market and reducing human effort in resolving complicated situations. While there is currently a lot of debate over AI, it does increase unemployment.
Apart from various businesses and industries, artificial intelligence in mobile app development changes the thinking level of creators.
AI assists in the development of more brilliant, simple, and intelligent applications that automatically improve user experience. If you’re thinking about incorporating AI into your present mobile app, you’re on the right track. Artificial intelligence is primarily concerned with the development of new machines and technology that improve the user experience. With this technology, humans are becoming more reliable and smart by learning from mistakes and creation.
When an artificial intelligence development company engages in AI-powered mobile app development, it can create something unexpected that can reduce physical efforts. For example, voice sensors, medical check-ups, writing recognition, and many more.
People are also aware of AI and that’s why they are demanding more features to better their experience. Therefore, several artificial intelligence development companies are inclined to deliver unique and best user experiences in the form of an AI-based app.
Factors Responsible For the Growth of AI
Cloud and big data computing are the two main technology adoptions that have succeeded in making the ambiguous prospects of artificial intelligence and machine learning a possibility. It is now very much feasible for startups, growing businesses, and top app development companies to use large amounts of information without maxing out on cost or capacity.
Essentially, the idea of owning, administering, and maintaining a data center to run complex algorithms is dwindling. It’s as simple as adding a few extra servers to cloud platforms as needed and turning them off when not in use. Even startups can afford the cost of running large-scale learning algorithms, thanks to the availability of multiple analytical tools that have helped to make the cost of operating the compute power affordably.
AI has risen in popularity in recent years, thanks to major development projects like IBM Watson, which have found their way into a wide range of enterprise programs, as well as other comparable projects. Everything was made possible by the computation capability, notwithstanding the existence of the algorithms. In fact, almost every artificial intelligence development company is monetizing this opportunity.
Benefits of AI in App Development
Get programmed debugging
When it comes to detecting and resolving problems in code, AI can help. Without receiving a command, AI will discover the problems and correct them on its own. This decreases the time it takes to construct a mobile app, allowing for the rapid creation of large numbers of apps in a short amount of time.
Easy accomplishment of repetitive tasks
The effort required to complete repetitive jobs decreases, and AI allows you to do anything with ease. The AI takes care of all of the details for you and makes you feel more at ease.
Optimizing the user experience (UX)
Many of our regular errands are now automated thanks to AI-enabled mobile apps. They are nearly everywhere to help us, from augmented reality (AR) to taxi apps. With Google Lens, for example, all you have to do is aim your phone’s camera at something to obtain information on it. This improves the overall user experience within the app. Similarly, your mobile application with AI can drastically change the user experience offering your app a better engagement. For that, you need to hire the best artificial intelligence development company.
Analytical proficiencies to learn users’ behavior patterns
Natural Language Processing (NLP) in conjunction with Machine Learning (ML) allows for a realistic interaction based on the preferences of the users. This combo has the potential to learn the patterns of users’ behavior for smooth interaction. For example, Netflix uses ML for gathering data about users’ past behavior. All service or content recommendations are based on the data gathered from the user’s previous selection. The goal here is to analyze user behaviour as rapidly as possible so that Netflix can improve the quality of its consumers’ interactions.
More powerful app authentication
Since hackers and cybercriminals are always quick to advance their arsenal for penetrating app security faster than others, mobile apps still need to stay ahead of the technology curve to assess security threats in advance and prevent these threats in real-time.
Conversational User Interfaces for better communication
CUI allows users to engage with computers in a human-like manner. Though speech recognition isn’t new to us, CUI is improving its capabilities to help us communicate more effectively. Chatbots are commonly used in finance and management apps, allowing users to engage with them via voice or text messaging. In order to make the best financial suggestions, the bot examines spending, payments, and balances.
Improve daily operations
Mobile applications benefit significantly from Artificial Intelligence technology in terms of developing additional features that simply minimize the risk and effort of using apps on a daily basis. This also increases the developer’s learning experience, giving the user a great deal of joy.
AI for the Internet of Things
The use of smart home devices and AI-controlled smart home gadgets have revolutionized the entire business space. By using AI in Mobile app development, companies are bringing smart applications into the market today that can run on commands and instructions. The linked mobile apps with smart IoT devices use AI algorithms to function. This integration of AI techniques into a mobile app has given a great push to businesses.
AI Technologies That Can Be Used In a Mobile Application
- Natural Language Generation for customer service
- Speech Recognition Technology
- Chatbots or voice managers
- Machine Learning (ML)
- Text Analytics and NLP (Natural Language Processing)
- Emotion Recognition
- Image Recognition
As of now, you must have had a good idea about the multitude of ways AI can add value to mobile app development and help enterprises deliver a better, secure, streamlined, and sophisticated mobile user experience. This is why most of the leading mobile apps across all enterprise niches have already adopted AI strategies to better mobile presence.
The most significant value proposition of AI for mobile apps has been enhanced customization and tailor-made user experience. The best thing AI can do for mobile apps is personalizing the user experience based on specific user pain points, preferences, user contexts, and in-app behavioral attributes.
If you are looking to stay updated and remain ahead of your competitors and want to integrate AI and ML in your existing business application then you should approach an experienced artificial intelligence development company.