Interesting Cases Of Data Warehousing And Data Science In Business

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It's no secret that machine learning has embraced a variety of business sectors, ranging from finance (should we mention the whole Fintech revolution or the fact that Santander recently opened an entirely blockchain-based branch?) to eCommerce, with applications like the ones used in the web personalization field. With such an abundance of business fields being "machine learning and AI friendly", let's analyse the most interesting ones. 


 

It's no secret that machine learning has embraced a variety of business sectors, ranging from finance (should we mention the whole Fintech revolution or the fact that Santander recently opened an entirely blockchain-based branch?) to eCommerce, with applications like the ones used in the web personalization field. With such an abundance of business fields being "machine learning and AI friendly", let's analyse the most interesting ones. 

Videogames 

Artificial intelligence's easiest applications are gaming related and so are VR's ones. In 2016, the world was shocked by the procedurally generated world(s) of No Man's Sky, a game which internal clocking and generating engine was entirely Python and R based. Although sometimes very looping-based (a complex combination of arrays and objectification, mainly in Java), the core engine was, with all its limits, a little ML engine, which was as well deciding all the environmental variables and "buffs" of the AI. 
After his biggest patch in 2018, No Man's Sky has become the most technologically advanced game ever in terms of artificial intelligence. 

Digital Marketing 

Data warehousing and data science have become standard procedures in digital agencies (big and small), enterprises and literally every company who wants to tailor sales and marketing campaigns on raw data gathered via users. In Europe, the UK has been leading the entire data science field applied to commercial and B2B purposes, with a digital agency in Manchester investing over £2 million in data science related resources to automate and optimise both their organic traffic related strategies and their ads targeting. This is very exciting as it shows how the digital field, especially from a B2B perspective, has embraced data science, tailoring strategies towards algorithms instead than users exclusively. 

Training and Education 

More AI and VR related, there have been a lot of startups investing in creating simulating environments which could let trainees in the most disparate disciplines (from surgery to flight pilots) practising with no risk whatsoever. In 2018, the micro-world of VR training has been stated for being next to the $100 million areas, which confirms how powerful startups in the matter were and are, still.

To Conclude 

It's very interesting to see ML, DL and AI being approached by so many different sectors and, at this stage, it's safe to say that we are assisting at the building of the foundations in this very matter. Definitely an exciting time for all the ML, Python, R and Java developers who are looking to change their career path!