When it comes to technology and applications in general, machine learning is one of the biggest focuses from both a development and market point of view. Although there are many triple-A companies working on the matter, the entire machine learning realm is pretty much dominated by startups and small development studios. Since machine learning was recently heavily implemented in warehouses in China such as the Alibaba’s one, let’s see where this technology will be implemented in the near future.

Everyday Applications

Machine learning has been pointed out for being the biggest focus in Google’s development, given the fact that the Search Engine company said they’ll implement deep learning in apps like Google Maps and many other ones. By combining data that is triggered by the database with the autonomous learning factor, in fact, it will be possible to create better projections of the surrounding environment.


Apple has already implemented various deep learning features in its new iPhone X and, in particular, with the update of their face-Id technology. Many iOS app development and Android app development companies (because this is also an Android’s matter) in fact are actively looking into the matter, implement Python-coded tools and algorithms in their software planning regime.

Art And Design

Although machine learning is usually seen as a strictly “numerical-ish” related technology, there are proven examples of art (and music) related applications that are using autonomous learning algorithms and machine learning storing capabilities. Examples like Pro Tools and the latest version of Apple’s Logic Pro are in fact already available on the market and we can safely say that many more companies within this field will start to implement such technology in the short term.

The Automotive Industry

Companies like Volvo and TESLA, in particular, are two of the brightest examples of the matter: autopiloting and driverless technologies are two big things at the moment and they are both heavily relying on machine learning and Python coded algorithms. With many prototypes ready and already presented at big events, we can safely say that this will be the main focus in the near future of the automotive industry.