Maria Mavrekh (CEO) gave a lecture on Blockchain, Trend of World Corporations in Japan during a 3-Day Blockchain Program organized by DBIC. She talked about the future of business in 2030, the level of understanding by the top management layer of world corporations in different counties, representatives of countries, the lack of blockchain technicians and the evolution to Blockchain 2.0, 3.0, 4.0, drawbacks/defects will be solved.
Maria Mavrekh (CEO) gave a lecture on Blockchain for business, combination with real businesses in Japan during a 3-Day Blockchain Program organized by DBIC. During her speech, Maria discussed such issues as why real trial is important and how various real trials are executed all around the world, points (secrets) for correct blockchain introduction/application, cost of blockchain introduction/application and cost of raising blockchain technical specialist.
Vladislav Arbatov (CTO) gave a lecture on Blockchain regulations and KYC in Japan during a 3-Day Blockchain Program organized by DBIC. He spoke about the timeline of Blockchain technology regulation, regulation of cryptocurrency around the world, blockchain government regulation (including the European blockchain partnership) and the future of blockchain regulation. He also mentioned why blockchain is a good solution for KYC verification (how can blockchain help with KYC and how blockchain can become a game-changing technology for business).
Using a real estate case study, we will explore the prospects of implementing a smart home self-learning system. HomeKontrol is a new stage of evolution in the relations between humans and their living space; it’s a new mode of inhabiting your home, which frees you from a number of specific actions needed to change your environment. It automates routine processes and performs actions before the owner even realizes that they are needed.
A particular feature of our approach to a Psychological type testing and neural network training lies in analyzing open manifestations of individual personality (such as the contents of one’s pages in social networks) in addition to conducting a test. Neural networks compare text results and a person’s posts and reposts, including text and images (VKontakte, Facebook, Instagram). As a larger data set is accumulated, this will allow the neural network to detect more subtle dependencies and patterns and determine an individual’s personality type with minimal testing or even without testing at all - that is, without direct involvement of the person being tested.