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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

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Free participation and other benefits for speakers

CEE-SECR 2015
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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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Networking Party

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Hyperledger Blockchain Implementation. Lessons Learned

IBM contributes a lot to a Hyperledger Blockchain community. We’ve done several pilot projects with clients recently. In my presentation I will share some of the lessons we’ve learned.

4 Votes: I’m interested!

Alexander Yakovlev

On the question of the practical application of blockchain in the financial industry

Practical experience with blockchain in the financial industry.Implementing specific proof-of-concept prototype electronic voting securities holders system. Proof of unexpected disadvantages and implicit advantages by the example of one of the first implementations in Russia. Recommendations for the industry.

The report is designed for professionals and IT managers who are interested in practical experience with various blockchain platforms and technological features of applications…

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.