There is a large demand for data scientists and students who have majored in machine learning at universities.

Regardless of the kindthe type of industriesy, Japan'sese companies want to obtain artificial intelligence (AI) technologiesy.

However, I guess that most employers aren't sure about what AI is all about and how the technologiesy can create profitable outcomes.

They'll have to figure out themthat out before the companiesy invest oin recruiting data scientists.

If you intend to predict future trends of the marketmarket trends accurately or derive personal preferences from order histories, an enormous amount of data is required.

Though sSome companies assume that AI robots automatically collect and organize the data by itselfthemselves. However, the company should have accumulated a large amount of data themselves for a long time.

Apart from the caseWith the exception of big companies, the quantity and the quality of the data which companies possess is insufficient.

I inferassume that some of the problems facingthat these companies are facing can be solved by conventional and statistical methods.

Especially, physical phenomena such as things that are physical in nature like chemical reactions and manufacture error rates. These things should be adapthandled by statisticconventional methods because machine learning models are prone to make it's process black boxtend to have black box approaches to solving problems.

In addition, it deserves to be knownHowever, it's worth mentioning that some of machine learning models are developed byusing conventional and statistical methods.