Why The World Of Mobile Is At Its Pivotal Year

When it comes to technology as a whole there is a variety of topics which should be considered from a business perspective. In 2019, we’ve seen the rise of machine learning, automation features and everything in between. It’s very important to understand the fact that, in 2019, the biggest influx of traffic (web-speaking) was coming from mobile devices. With this being said, there have been a lot of different updates on the technologies being used in this very specific sector, let’s analyse a couple. 

Swift Architectures, Python Features 

Swift, like Java, is a programming language which has seen a lot of highs and lows in the recent past. The usage of Python for machine learning is definitely an industry standard, but its applications on mobile are still to be explored by app developers worldwide. Swift is relatively quick as an operating language for architectures and we can safely say that its combination with machine learning features will be one of the biggest trends of 2020. 

The Evolution Of Location-Based Features 

As pointed out by a company who focuses on app development in London, the usage of location-based features for apps like Uber (and Ubereats) or Deliveroo has become an (almost) industry standard. What will probably be the future of these very features is the implementation of a different number of VR-oriented features to improve the user experience, which is finalized to making models, buildings and roads more “real”. Although this is purely hypothetical, there have been companies like TESLA who have used SLAM-oriented algorithms to create better simulations within their modelling software. 

Data Lake – Oriented Apps 

When it comes to data, it’s very important to state the fact that its usage has become an asset more valuable than oil in the past couple of years. The usage of data lakes (AWS-based architectures) to acquire, process and then use data for personalization purposes (mainly for ads) has become one of the most important parts of development within mobile apps and it’s very likely to grow even more in the nearest future. 

To Conclude 

Although still a bit theoretical, it’s safe to say that the future of app development will very likely be machine learning and automation-related features. The usage of Python is stable and tangible in many devs, whether if in Swift or any other architectural language.