The Future Of Automated Technology In 2020

The Future Of Automated Technology In 2020

Automated technology is a matter of perspective. In 2018, the search for automated features in business has been incredibly impactful, from both a research perspective and a purely budget-related one. It has been stated how much machine learning has developed from being a niche technology to something with the potential to reshape a specific business sector, but, in practice, what is the future of automated pieces of technology? 

Machine Learning Applied To Warehousing

Warehousing processes have been (probably) the biggest example of machine learning being applied to tangible business routines. With the biggest example on the matter being Alibaba, which, by automating their entire warehousing processes has seen a net +70{169a81f3b75f7d4f2256b52e96ed44d6638e4e95362ac79dd489ecc1bd233928} increase in productivity, which led to vast, impactful usage of these technologies in a variety of business sectors. Machine learning applied to the warehouse is a matter which stated grounds for the future of automation in services. 

Mobile App Development

App developers and, specifically, companies who focus on app development in London, have all been trying to use automation-related features to improve their development routines. Specifically, when it comes to DevOps development routes, there’s a chance for the implementation of machine-related pieces of technology which are very likely to help a vast variety of businesses. Mobile app development is set to be the main catalyst of automation-related features in the next 5 years. 

The Automotive Sector

One thing which is going to be pretty much “overpowered” in terms of automation, is going to be the automotive sector, given the predominance of the driverless sector in the overall development’s plan. Audi, TESLA and Volvo are the leading ones regarding this matter and are very likely to grow even more in the nearest future. With this being said, the usage of SLAM and machine learning, combined with deep learning, will be a game-changer for automation features within this sector. 

To Conclude

Machine learning-based features in business are extremely important to cover from a business analysis’ perspective. The usage of machine learning-based tools is something that will change our day to day business routines.