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Data in Service of the State and Society
8 June 2019
10:00—11:15
KEY CONCLUSIONS
Big data and artificial intelligence open up new opportunities for government and business

Big data and sharing information within one system help reduce time and render services taken to a new quality level — Svetlana Chupsheva, Chief Executive Officer, Agency for Strategic Initiatives.

Using the artificial intelligence technologies give the following key effects: customer service offers are personalized; predictive analytics; and of course, improved efficiency of business processes and cost reduction — Dmitry Shushkin, Chief Executive Officer, ABBYY Russia.

Now we have <…> a solution that helps boost sales through automatization of mundane tasks and search for best sales patterns. It means that we analyze the whole transaction cycle – from the call to the closure – and find the best, the most optimal sales pattern — Artem Gladkih, Co-Founder, Chief Executive Officer, Teona.ai.

We started building mental models for human skills, which became a real breakthrough. <…> It helps us with several things: first of all, we make the content comprehensible, <…> and we do not waste all this money — Aleksandr Laryanovskiy, Business Development Director, Managing Partner, Skyeng.

Digitalization and big data are promising for government and business

This year, 36% – about a third – of our companies will invest over 100 million roubles each in digitalization, which is over USD 2 million each. This an average number, and it is clear that Sberbank will invest a lot, some will invest a bit. Nevertheless, it is a good trend. <…> 60% of managers believe that tackling structured data is really important — Dmitry Shushkin, Chief Executive Officer, ABBYY Russia.

We are the Far East’s absolute leader in creating the ecosystem for innovation development and digital economy. <…> The IT park has commenced its successful operations. <…> It already has 47 compnies and several dozens more have applied — Aysen Nikolaev, Head of Sakha Republic (Yakutia).

ISSUES
Regulatory environment for big data needs improvement

We see holes in our legislation: as of today, there is no definition for data and big data; how to depersonalize data and remove personal, private information about someone; the borderline between the data we can collect and the data that would be unethical to collect; the borderline between the tasks that can be entrusted to an algorithm or artificial intellegince and the ones that can only be done by people — Svetlana Chupsheva, Chief Executive Officer, Agency for Strategic Initiatives.

For example, the major problem of corporate analytics is not collecting data, or analyzing, or showing where the bottlenecks are and how to deal with them. The most important problem – as it appears – is that according to GDPR and other laws you simply cannot collect data about people — Dmitry Shushkin, Chief Executive Officer, ABBYY Russia.

Inconsistent and imcomplete data

The data we use today was mostly collected by banks, telecom, search engines and sometimes government agencies. <…> It is a tiny share – less than one per cent – of the data available today and that form the world of data. Today’s infrastructure is organizationally, technologically or physically unable to process or accumulate data around us — Dmitry Peskov, Special Representative of the President of the Russian Federation on Digital and Technological Development; Director, Young Professionals Department, Agency for Strategic Initiatives to Promote New Projects (Agency for Strategic Initiatives).

Today, Yakutia has 246 separate information systems with various resources that based on our estimate have collected over 400 Tbyte of information. But these systems are incoherent and inconsistent — Aysen Nikolaev, Head of Sakha Republic (Yakutia).

Probably, the problem of AI start-ups in Russia is that we have only few tools and little data we can actually work with — Artem Gladkih, Co-Founder, Chief Executive Officer, Teona.ai.

Unproven mechanism for personal data protection

Fairly trivial and unverified data – which is not much – can result in getting access to ultra intimate data that previously was restricted. <…> We are forming a certain elite of experts that know everything about everyone. I am absolutely confindent that they do not fall under travel restrictions or have appropriate clearance — Igor Ashmanov, General Director, Kribrum; Managing Partner, Ashmanov and Partners.

SOLUTIONS
Government and business sharing access to accumulated data

Such companies as we are do not have all that many resources, but if we could get access to certain sets of data from the Russian segment, it would help build lots of companies — Artem Gladkih, Co-Founder, Chief Executive Officer, Teona.ai.

It is important to emphasize <…> that we need to use other sources of data as well: banks, fiscal data operators, transport companies, social networks, telecom. <…> I believe that the more source channels we have, the more valuable they become for multifactor analysis — Aysen Nikolaev, Head of Sakha Republic (Yakutia).

Training management for introducing AI in managerial processes

We need a different, new management theory and practice, because everything that have in management now does not really comply with artificial intelligence instruments — Wolfgang Maass, Head of Research Department of Smart Service Engineering Unit, German Research Center for Artificial Intelligence.

The government should have a system for the right data analysts and managers that would be capable of going beyond the context – while staying legal – and creating next levels of the ecosystem – the information sharing ecosystem – that would help instead of harm — Eduard Lysenko, Minister of the Government of Moscow, Head of the Department of Information Technologies of Moscow.

The material was prepared by the Russian news agency TASS