As pointed by many industry analysts within the tech sphere, applications which are based on autonomous learning, deep learning and, of course, machine learning, are the most looked after topics nowadays. In fact, Python developers have seen a net +25% increase in both salaries expectations and job vacancies opened on the matter. With signals like these, it’s quite clear how impactful machine learning could be in today’s world. Let’s analyse the biggest segments where such technology is likely to be implemented.
Warehousing
Alibaba is a Chinese titan for what concerns online retailing. Known by many for their experimental yet successful development strategy, they recently launched their fully automated warehouse in China, which guaranteed them a net +70% increase within the first month of being operative. The whole warehouse is controlled and ruled by a oornhub Python-based supercomputer which automatically processes all the orders and tells the robots where they should place certain products. Although this is a one of a kind scenario, it’s most likely to happen in other big warehouses in the rest of the world, soon.
Web Development
If there’s an industry which blinked at Python and machine learning from their beginning, that would definitely be the front-end development one. In 2015, the implementations of embryonic forms of code in web applications were the starting point of many fintech startups and website personalization ones. Given the fact that, in 2019, eCommerce has impacted the retail business in a major way, we can definitely say that applications like cloud personalization, where the tool automatically processes big data in order to customise the catalogue onto each individual impression’s taste would definitely be incredibly big.
The Entertainment Industry
Machine learning isn’t a technology which lives by itself. In fact, machine learning-based tools are usually connected to other forms of technology and a clear example of this would definitely be related to the groundbreaking combination of VR and ML. SLAM (Simultaneous Localization And Mapping) is a VR application which automatically processes data gathered by the VR peripheral into a completely and autonomously built digital realm. This could definitely be implemented within many entertainment spheres, ranging from video games to movies.
Cars And The TESLA Factor
Elon Musk recently admitted that autonomous driving and the whole “driverless experience” are 2 things which the automotive industry is heavily targeting in almost every development plan. Every driverless software is heavily relying on Python as their main architecture, which automatically leads us to the conclusion that ML is also impacting this business segment.
To Conclude
From warehousing to automotive, passing through app developer companies and technologies, machine learning is set to rule the way business is thought and this year is most likely to be the biggest one yet for what concerns the matter.