For machine learning, you need data. At the very beginning, we used the example of how a neural network learned to tell the difference between a square and other geometrical shapes. This happened because the neural network obtained data.
The rapid development of artificial intelligence (AI) technology is not only down to the progress made in the field of algorithms but also the ease of access to Big Data. The USA was one of the first to make state data accessible to anyone who wanted it. A bold move indeed!
According to the WIPO Technology Trends 2019 Artificial Intelligence report, the USA tops the 30 countries boasting the leading commercial AI companies. However, China comes top for the number of patents registered in the AI sector, as well as the overall number of scientific jobs linked to this field.
Almost all data in China is open data. Universities, companies and individual developers must check their new methods and algorithms (validation) against a specific data set which is seen as a kind of reference point.
In Russia, there is no single policy on working with data. As part of a new national strategy to develop artificial intelligence (the Strategy), data is assigned specific importance. In accordance with the Strategy, the state will create standards for data exchange and storage, such as by establishing data quality regulations, updating them regularly and creating unified conditions for access to data. Of course, some data is particularly sensitive, such as data regarding the medical industry and drones, which is a separate issue.
Moreover, its essential to stimulate the creation of Big Data platforms such as Alibaba, which speed up transactions and increase GDP due to shorter times between transactions, payment and delivery.
Advisor to the President for Economy and Finance, JSC Business Alliance
PhD reseacher in Computer Science & Machine Learning