The Future of Mobile Apps: Trends Shaping Business Technology
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As more consumers use their mobile devices to interact with the web, companies around the world have to make some pretty significant adjustments to ensure they remain on the radar and avoid losing market share to their competitors, who may be more willing to embrace the change. Although still relatively young (only around 15 to 20 years old, depending on your point of view), the mobile application revolution has utterly altered the landscape and made it both far easier for consumers to access the companies they enjoy interacting with while simultaneously causing smaller companies to completely rethink their approach to marketing and consumer interaction. In this post, we will explore what the future could hold for this rapidly evolving situation and see how businesses can make use of this brave new world and make the most of what's ahead for mobile applications.
Rise Of Artificial Intelligence Integration
The buzzword on everyone's lips over the past couple of years has been "AI." While it isn't quite what many of us were expecting when it was first announced by OpenAI in 2022, it has undoubtedly changed the overall landscape in terms of what can be achieved. In fact, it is so prevalent that most of the largest tech corporations in the world have fully embraced it and are rapidly adding it in some form or other into their existing systems. In this regard, standard mobile app development is no different, as many new apps have begun integrating a range of the more popular AI services (usually ChatGPT). However, before choosing to incorporate it into any app that you're currently considering creating, it's worth having a look to see if it's needed and if it will make any material difference to the user experience. If the answer is not really, then you will save a tremendous amount of time and resources, but if the answer is yes, then you must ensure it's integrated correctly. There are myriad ways in which you might be able to utilize AI, including:
- Personalization: AI has performed this in some way for a while now, but modern algorithms are so advanced now that they allow a far more profound form of personalization than before.
- Natural language processing: Our current interpretation of AI works best when using LLMs to parse natural language inputs, understand what it's saying, and create an answer. This kind of NLP can offer an incredible level of interaction with those using your app, as they can almost have a natural conversation with the application.
- E-commerce: Just as AI can power forms of personalization, so can it help e-commerce businesses. It does so by personalizing product recommendations, optimizing pricing, and detecting fraudulent transactions.
Increased Focus On User Privacy
Data privacy has become an enormous thing in the past decade, partly spurred on by large data breaches and the blatant use of personal data by large companies like Meta and Google, etc. Nowadays, if you create an application that will collect user data, you had better ensure it complies fully with industry best practices and gives users a granular level of control over how you use their data. Obviously, this will cost you in terms of having less data to use for your data analysis, but the trend toward more stringent controls only looks to be advancing, making it worthwhile to be one step ahead rather than one step behind the curve.