Even if you’re not a tech-savvy person, you’re probably using your smartphone and computer for work. We all browse the Internet, and it’s impossible to avoid keywords and articles on AI. Artificial intelligence models are getting smarter thanks to machine learning algorithms. And while many hate them and consider them unfair to the current business environment, numerous generative AI applications will make our lives better.
Generative AI is supposed to reshape app development. Companies are already tapping into the power of AI for their apps, which are supposed to become better and more intuitive. In this article, we’ll break down the ways AI will reshape apps and app development sooner than expected.
A Variety of AI Services
Many apps are already using various AI services. The implementation is already on its way. For example, online casino apps are using AI bots as part of their customer support service. Casino developers are using these services for customer support too, and using AI models to speed up app development. This mostly focuses on slot and casino game theme innovations, as well as math models.
Casino apps are quite popular these days, and playing slots and apps will become even more intuitive in the future. AI is supposed to drive this model forward, which likely means more games and tailored experiences.
It’s not just casino apps. GenAI is used in all kinds of enterprise apps, such as Microsoft’s 365 product suite. Google Workspaces also introduced a variety of AI services while Snapchat introduced an AI-powered chatbot named myAI.
Writing platforms such as Grammarly have moved to an AI model too. This powerful app and plugin improves the writing for all kinds of content, and with its AI approach in the past year, it’s becoming more and more powerful. In just a short time, grammar mistakes could be a thing of the past, and it’s all thanks to artificial intelligence.
AI-Powered vs. Traditional App Development
There’s a great difference between traditional app development and that powered by AI. Development cycles have gotten a great boost. Up until now, long development cycles meant extensive testing and debugging, as well as patching all kinds of apps. This is lengthy and expensive, as it requires a team of testers, which costs companies money.
AI embraces agile development instead. It may or may not integrate continuous machine learning, but either way, the whole process is much faster. That’s because AI can spot any problems before they materialize, resulting in a much better. Plus, AI models are getting better thanks to constant training and improvement, meaning the customers get a better and more polished experience overall.
Data handling is also getting much better. In traditional app development cycles, real-time processing of structured data is a problem. AI models are much better at handling all kinds of data. While they still need time to introduce real-time analytics, this particular feature of app development is much better at handling sensitive data.
Decision-making is about to get much better. Companies are already using AI models to rely on user-focused decision-making instead of static algorithms used in traditional app development. The current techniques have limited adaptability, but with the help of AI, they will soon become a thing of the past. Decision-making with AI relies on self-learning algorithms, which means predictive decisions.
One notable example of this decision-making AI implementation is Google Maps’ optimized routes. They’ve already been phased out for some time, giving you better and more fuel-efficient routes when you enter the correct data. Some may not like it, but thanks to AI, we’re looking at much better routes in the future.
With superior app scaling, app development will become even better in the future. So will maintenance, which has already been in use. Extensive redevelopment is clogging things up in app development, and digital-native app development doesn’t utilize dynamic scaling methods. Unlike them, AI-powered app development is inherently adaptable and scalable. Netflix is already using it as part of the responsive content delivery system, and many other apps will soon start using it too.
In the maintenance department, AI-powered app development will speed things up in over-the-air updates. This has already been implemented by many companies, including Tesla. AI can scan for in-app delivery errors or updates much faster and more precisely. Self-improving machine learning algorithms will make maintenance and evolution much better. With an updated software update map, users will enjoy a much better experience.
User experience will also be more personalized and highly adaptive in the future. App developers can use it to deliver a more custom-tailored experience. For example, casino apps can recommend games most suitable to player preferences. Spotify has already adopted such a model in its ever-evolving music recommendations.
This is also notable in streaming apps such as Netflix and HBO, as well as dating apps and similar alternatives.
Why is AI Integral in Modern App Development?
There are several reasons why artificial intelligence is crucial for modern app development. First and foremost, automated processes are streamlining development lifecycles. It means less strain on developers, as AI models and machine learning algorithms are more precise with their predictions.
Adaptive learning is another factor that makes AI integral for future app development. AI-powered apps are adjusting to user feedback and implementing changes faster than ever before. Social media algorithms are getting the most out of these models at the moment. They deliver much more precise recommendations to a level we haven’t experienced before.
The predictive capabilities of AI app development are out of this world. AI doesn’t just predict changes – it anticipates user needs and updates features proactively. Thanks to enhanced personalization, we’ll soon be getting apps that offer a custom-tailored experience, which mainly applies to gaming apps and retail shopping apps as well.
Resource optimization is another factor where AI app development excels. It enhances app performance and reduces operational costs. Some employees in certain departments may not like it, but the future is already here, and we need to adapt to it.
