The strongest human resources. It "programmer in data scientists"
We are known as eminent company in the world investing nearly 1 trillion yen a year in research and development, and, for a little, investment to AI connection increases exceptionally in particular. Technique of depths learning (deep learning) that it pulls recent AI boom to add pressure above all. We say -Microsoft-Cognitive-Toolkit- in us and develop tool kit for the purpose of task support such as voice recognition and image recognition, search compatibility evaluation and are going to spread in the world.
In this way, the world where pattern recognition does correlation and causation that it parses data that AI is huge that it is thought that it comes true and cannot assume with human head and tells. For example, in the medical world, we give new medicine most suitable for the patient by gene analysis of cancer cell of technique and patient who can find out cancer organization more exactly than expert doctor by analyzing medical imaging by technique of deep learning for the cause, and big expectation gathers for effective new cancer treatment (pureshijon medicine) treating.
In addition, we do not only answer order and understand human feelings, and it is independent, and evolution of AI meeting human demand is demanded now. In fact, we released toiu service that "was phosphorus" of Chat bot with personality of high school girl in us in 2015. More than 6800000 users have already made registration (at April, 2018), and interesting experiment to chat with a large number of people is advancing to rinnaga every day now.
Naturally technique of development and operation changes at surprising speed, and ability demanded from engineer on the site is changing very much while we did it this way. Of course, as basic knowledge, it writes program many times, and it is not still strange in old days that it is important to acquire algorithm structure by experience either. However, engineer who can think about what you want to accomplish by having let you also learn is demanded now whether you want to let AI learn what. It is not used in "we understand only the IT".
Recently occupation called data scientist attracts attention in specialists drawing information that we can apply in business from big data, but it may be said that "programmer is human resources strongest now in data scientists".
We think that it is perfect opportunity when it can be stuck in field that it specialized to the full to learn in technical school. To people who say to aim at engineer, we want to have you study while being always conscious what kind of change is up in the world now from now on. In addition, at young time, we will exchange information with other engineers positively. There were convenient services such as -Qiita- which could release Tips and know-how about programming, and -Microsoft-Azure- which was our public cloud service was free, and begun services increased recently. Environment that can learn curious technique at low cost is substantial. Please mention various techniques not to become of narrow outlook on life as possible.