St Petersburg University experts to explain how to use artificial intelligence to solve the challenges of the digital economy
St Petersburg University is organising a training track in ‘Artificial Intelligence for the Digital Economy’. The course is part of the online intensive programme ‘Archipelago 20.35’ aimed at training teams to implement AI projects. On 7-21 November, participants of the course will learn: how to use AI to assess borrower risks; how to use it to optimise energy use; and how AI can help extract relevant information from news feeds.
As part of this training track, there will be a series of online master classes and laboratories. One of them is organised by the scientific and educational centre of St Petersburg University ‘Mathematical Robotics and Artificial Intelligence’ and will be devoted to group AI. A modern person uses many devices and services ‘endowed’ with artificial intelligence. But what if they become networked? How will group AI solve common tasks? And how, for example, to run a group of flying drones? Experts from St Petersburg University will tell the participants about these and many other things.
Another interesting area is the use of AI when working with data in banking. Experts from the VTB Risk Management School will teach track participants to assess the risks of borrowers. The bank's specialists will also talk about how to use AI to solve the problem of optimising energy use. Additionally, experts from the Data Analysis and Modelling Department of VTB will explain what tasks are solved by a modern bank using machine learning and graph analytics. They will also help to understand the algorithm design.
‘Archipelago 20.35’ is a team educational intensive programme for developers of projects in the field of machine learning, data analysis and artificial intelligence. It is organised by: the University 20.35; the Agency for Strategic Initiatives; and non-profit organisation ‘National Technological Initiative Platform’ (NTI Platform). According to the preselection results, about 1,000 best teams will be able to take part in the intensive course on 7-22 November. The course participants are students, IT specialists, entrepreneurs and pupils of secondary educational institutions. They will be able to present their own developments and solutions in the field of machine learning and data analysis. Projects at all stages of development were invited to participate: from an idea to those who are already actively selling on the market. For more details visit the project website.
The LETI laboratory dedicated to mobile robot technology will help to understand what part of routine intellectual work can be transferred from person to machine. Together with the experts from Interfax, the participants of the intensive course will assess the efficiency of procurement in healthcare. Using the capabilities of artificial intelligence, they will analyse the data of the ‘Marker’ system on medicines and equipment purchased during the pandemic and identify anomalies.
Additionally, during the intensive course, the team of the GenerationS corporate innovation development platform will conduct an acceleration module for projects in AI for the digital economy. IT professionals, entrepreneurs, students and schoolchildren over the age of 14 with developments in machine learning and data analysis are invited to participate in it. The considerable experience of the course organisers will help the participants to correctly package their projects. They will also gain valuable skills how to present their solutions to investors, which is scheduled for the end of November.
‘To learn how to use artificial intelligence, it is necessary to use natural intelligence. And in order to sell your idea to customers and investors, it is necessary to have the skills of presenting your product. Our programme therefore has a place for both software developers and managers who package ideas and present them to investors,’ said Sergei Lukashkin, Chair of the track, Advisor to the Deputy Chairman of the Board of VTB Bank, a member of the project office for strategy of the Graduate School of Management at St Petersburg University.