Speakers autumn 2018
Become speakerVolzhanin is a PhD in Psychology and Computer Science. He founded DataSine in 2015 to help companies build meaningful relationships with their customers. Led by Igor Volzhanin, DataSine has conducted seven successful projects for financial establishments of Europe, the UK, and Russia, showing statistically significant improvements in customers’ commercial performance. The company has become the finalist in the Open Talent AI contest held by one of Spain’s largest banks – BBVA.
Igor Volzhanin regularly speaks at IT and fintech conferences. Besides, he publishes articles in financial and IT editions: Forbes, Inc., hightech.fm and others.
Denis is an expert on automation of investment banking, telecoms, and digital marketing. In 2014, he became CEO at CleverDATA, a company working on the market of Big Data analysis and marketing automation. Currently, the firm delivers automation solutions for e-commerce, advertising, and finance.
Denis Afanasyev authored specialized publications, spoke at the industry forums in various countries, including such events as Forbes Big Data, Marketing point 2018, Hybrid Conf'17, ABBYY Digital, and Customer Experience Forum. This year, the speaker will deliver a presentation titled ‘Trends of the audience data and the role of machine learning in marketing communications’.
Apart from the executive responsibility, Sergey Yudkowsky is also a Founder at the telecom company Teraline.
Previously, the expert was a member of the Roundtable (the Russian Public Opinion Research Center) dedicated to the impact of automation on the future economy. He also took part in the cross-industrial conference ‘Robotic automation in finance’. The speaker published articles on vc.ru, Sci-Guide, dirklinik.ru, and other online publications. He was as well invited as an expert to the specified shows on RBK TV and Kommersant FM.
Vladimir Ivanov
Nvidia
Vladimir Ivanov
Sr. Deep learning engineer
Nvidia
Focuses on machine learning at the testing department. Helps 80 million GeForce Experience users to play video games at the best possible settings. This isachieved using machine learning and computer vision. Has experience in training neural networks for solving image recognition applied issues.
Developed a system for equipment testing, detecting incorrectly functioning software and hardware. Designed a solution for text and image recognition in apps and video games based on the conventional methods of computer vision on CPU.
Vasily Mazin
Vasily Mazin
Chief Research Officer at Mind Simulation laboratory
For 15 years he was giving lectures at the Faculty of Applied Mathematics of the Kuban State University, having the position of an assistant professor as well. He focused on such disciplines as: discrete mathematics, intelligent information systems, databases, etc.
For more than ten years he studied the problem of creating artificial intelligence, possible ways of getting around the restrictions of existing technologies, developed hybrid models of knowledge representation and methods of working with them. Currently, he holds a position of Chief Research Officer at Mind Simulation laboratory.
Valery Babushkin is a Data Science specialist. Apart from X5 Retail Group, he is Head of Analytics Department at Yandex.Advisor and gives lectures at Higher School of Economics. The expert consults the Swiss-based startup Monetha. Previously, Valery took the floor at the conferences and meetups organized by Yandex.
By Kaggle, Valery Babushkin in listed in top 121 world’s Data Science specialists. The expert focuses on data research and clustering, DWH management, virtual services, machine and deep learning.
Sergey Nikolenko
Sergey Nikolenko
Chief Research Officer, Neuromation
Sergey Nikolenko, Chief Research Officer at Neuromation’s St. Petersburg office.
Mathematician and computer scientist, artificial intelligence expert, and author of the deep learning book. Sergey Nikolenko has more than 120 published scientific articles, the name in the research environment, well-known author’s courses on machine learning and other disciplines. He has been working for Steklov Mathematical Institute for 15 years and giving lectures (now at St. Petersburg Academic University of the Russian Academy of Sciences and National Research University - Higher School of Economics).
He applied his skills while focusing on machine learning at Deloitte Analytics Institute, was a pioneer in the Surfingbird recommendation system, as well as consulted a range of other companies.
Has been engaged in the implementation of smart technologies in the field of machine learning and artificial intelligence for 11 years.
Mainly focused on industry and logistics. Head of the development team for the last five years. Has been working with industrial processes (chemistry, petrochemistry) – optimization of production processes based on ML and AI for three years.
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