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CEE-SECR – over 600 participants

Big companies’ representatives, industry visionaires, investors, professors, etc.
Invited experts of global and Russian IT market

David Goldsmith, award-winning author of Paid to THINK, presenting at SECR 2015
Experience of the leading software vendors of Russia

Igor Kaloshin, Intel Software general director, presenting at SECR 2015
Latest research of computer science and program engineering from the academic community

Granting of the best SECR 2015 scientific papers with Bertrand Meyer’s award
2 days and more than 100 events in the conference program

CEE-SECR 2015
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The most topical issues in the software industry

Technologies, management, education, business, IT trends…
Free participation and other benefits for speakers

CEE-SECR 2015
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Discussions and round tables

CEE-SECR 2015
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Short workshops in the main conference program

Maxim Gaponov, Luxoft. Workshop: Collaborative product discovery
CEE-SECR 2015
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Dialogue with market leaders

CEE-SECR 2015
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Questions

CEE-SECR 2015
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Networking in the conference halls

CEE-SECR 2015
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Networking Party

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Presentations

12 Votes: I’m interested!

Roman Kvartalnov

How to lead an express-audit of design systems, portals or mobile apps

During the project support’s service we lead the results audit for the frontend developers and other designers. The main goal of our talk is the audit check-list based on our audit experience that helps you to check your contractor.

4 Votes: I’m interested!

Igor Sazonov

Moodle LMS from programmer point of view

The main points of programming for Moodle is architecture, modules types, the internal APIs, cases, approaches and entry points, desired database tables, security shortcomings, the FrontEnd.

14 Votes: I’m interested!

Evgeny Vinogradov

Machine learning as everyday technology

One of the problems we faced when launching machine learning was difference in expertise. IT people are usually good at math and technology, business people normally deal with its outcomes and processes, but the key to success is in collaboration of these two areas.

I’m going to talk about our experience in pushing machine learning to business users and made it everyday technology: approaches, pitfalls, some issues and solutions, and tecnical side of a problem.