Director of Digital Technologies at Medsi JSC Alexander Pilipchuk

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During the business breakfast "How can businesses unite for the mass implementation of AI in industries?", which opened the second day of the AI ​​Jorney 2022 conference, one of the topics of discussion was the obstacles to the implementation of artificial intelligence (AI) technologies and how this implementation should be accelerated. Russian President Vladimir Putin named the imperfection of the regulatory framework as one of the obstacles. During his speech at the conference, he named one of the key tasks as the elimination of regulatory barriers that hinder the implementation of AI, cayman islands phone number list including in such areas as unmanned transport, the introduction of robotics or condition-based repairs.

Gaining access to data accumulated by the state to form datasets used for machine learning has caused many problems. As Dmitry Chernyshenko admitted, the lack of access to such data was a serious barrier for many companies that tried to implement solutions based on advanced analytics technologies using machine learning. A technological infrastructure for storing such data will also be created, possibly using Gostekh. Vladimir Putin called on the regions to adopt the experience of Moscow, which already provides access to anonymized data.
called access to government data a serious problem for the entire industry. It is the government that has accumulated large amounts of data that are necessary for training AI systems, but accessing them is often not an easy task. Private clinics simply do not have such amounts of data, which is often due to the lack of storage infrastructure.

Natalia Filippova, CEO of the Interagrotech Association, noted that three quarters of agricultural producers cannot implement systems using AI simply because they do not have the infrastructure to collect and process data. Software and hardware solutions that come with modern agricultural machinery are not enough. Systematic education work is needed.

The importance of data for the operation of AI systems was also discussed by the Director of Digital and Information Technologies of Sibur, General Director of Sibur Digital LLC Alisa Melnikova. According to her, without accumulated data, no matter whether collected in the company or received from outside, including from the state, it is simply pointless to talk about the implementation of AI.

Timur Lipatov, CEO of RusAgro Group, noted that access to data will also be useful for those companies that already use AI, but lack accumulated data. As a result, their systems have reached the accuracy ceiling. And it is impossible to increase it without access to neighbors' data. Government agencies own this data, but obtaining it is currently a big problem.

According to Dmitry Konyaev, CEO of JSC UCC Uralchem, another technological revolution is underway in modern agriculture, during which an individual plant nutrition scheme is developed for each field, which allows for consistently high yields without soil degradation. The use of such approaches without digitalization is simply impossible.