AutonetAlexander Gurko, co-head of the working group of the NTI "Autonet", was the speaker of the discussion at the Startup Village 2022 conference
26 may 2022
26 may 2022
On May 26, within the framework of the Startup Village 2022 conference, a discussion "Data with benefits. Unite, Analyze and Rule."
One of the speakers of the session was the co-head of the working group of NTI "Autonet" and the president of NP "GLONASS" Alexander Gurko. Also participating in the discussion were: Professor of the Skolkovo Institute of Science and Technology Evgeny Burnaev, Head of the Department of Machine Learning Algorithms of Gazprombank Vladimir Dashkovsky, Head of the Department of Machine Learning and Data Analysis of VK Alexander Mamaev and Head of the Department of Machine Learning Ozon Van Khachatryan. The session was moderated by Alexey Neiman, Executive Director of the Big Data Association.
The panelists discussed the most important trends that determine the trajectory of the Data Science industry – the synergy of intersectoral data, new non-trivial methods of processing them, as well as the increasing influence of the culture of working with data on the success of business in the modern world.
In his speech, Alexander Gurko noted that the automotive data market is growing today, but to a large extent it remains fragmented, and the regulatory sphere is not developed. As a rule, each state determines its own policy for collecting and processing automotive data. There is still quite a long way to go to achieve a developed and holistic market ecosystem.
Currently, the main data holders are automakers, which receive the main advantages. In turn, representatives of the insurance and auto repair industries are actively lobbying for the adoption of such standards, when drivers themselves will be able to determine to whom they will provide access to the data of their cars.
All market participants are fully aware of the importance and value of automotive data, and the advantages that access to them opens up. The presence of private interests of various parties still makes it difficult to create a complex ecosystem in which all market participants could find a place. The competitive struggle and the struggle of lobbying potentials continues. Nevertheless, constructive shifts can also be noted – although under pressure from the authorities, market participants are trying to develop a constructive position that could become an acceptable compromise and really contribute to the development of the automotive data market.
One of the speakers of the session was the co-head of the working group of NTI "Autonet" and the president of NP "GLONASS" Alexander Gurko. Also participating in the discussion were: Professor of the Skolkovo Institute of Science and Technology Evgeny Burnaev, Head of the Department of Machine Learning Algorithms of Gazprombank Vladimir Dashkovsky, Head of the Department of Machine Learning and Data Analysis of VK Alexander Mamaev and Head of the Department of Machine Learning Ozon Van Khachatryan. The session was moderated by Alexey Neiman, Executive Director of the Big Data Association.
The panelists discussed the most important trends that determine the trajectory of the Data Science industry – the synergy of intersectoral data, new non-trivial methods of processing them, as well as the increasing influence of the culture of working with data on the success of business in the modern world.
In his speech, Alexander Gurko noted that the automotive data market is growing today, but to a large extent it remains fragmented, and the regulatory sphere is not developed. As a rule, each state determines its own policy for collecting and processing automotive data. There is still quite a long way to go to achieve a developed and holistic market ecosystem.
Currently, the main data holders are automakers, which receive the main advantages. In turn, representatives of the insurance and auto repair industries are actively lobbying for the adoption of such standards, when drivers themselves will be able to determine to whom they will provide access to the data of their cars.
All market participants are fully aware of the importance and value of automotive data, and the advantages that access to them opens up. The presence of private interests of various parties still makes it difficult to create a complex ecosystem in which all market participants could find a place. The competitive struggle and the struggle of lobbying potentials continues. Nevertheless, constructive shifts can also be noted – although under pressure from the authorities, market participants are trying to develop a constructive position that could become an acceptable compromise and really contribute to the development of the automotive data market.
