can help to increase operation efficiency of the company, predict customer behavior and demand for certain goods, decrease production costs, simplify the process of everyday tasks monitoring, choose the most beneficial development strategies, etc.
Artificial intelligence allows you to collect, store, classify and process massive amounts of structured and unstructured information.
Processing of big data
Face detection technology, machine learning and data collection and analysis tools can be used to predict customer behavior. The system collects data about actions and preferences of users by analyzing the demand for certain products. In addition, knowing the preferences, lifestyle and financial capabilities of the customers, the system offers the most suitable products and services within a certain period of time.
Predicting the demand and customers’ behavior
Chatbots and robotic consultants can carry out customer support 24 hours a day, 7 days a week. Service ceases to be intrusive, and becomes prudent and natural.
Improving the service quality
Advanced methods of large data analysis provide an opportunity to make the most effective and correct decision in an emergency situation. It improves safety greatly and eliminates most of the risks
Development of solutions in critical situations
AI tools are used to optimize the inner workings of the company, increasing the efficiency of each employee and the company in general. A thorough analysis of the processes allows you to select the most advantageous development strategy.
Company management
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Exhibition area
Leading international companies and developers will present the latest AI products and business solutions.
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Conference
Conference speakers – foreign and Russian experts – will tell you about ways of using AI technologies and big data for optimization of business processes and revenue increase.
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Nikita Kardashin started his career in IT in 2007 and has more than 10 years of professional experience. He joined NAUMEN in 2012, where he changed several positions in the fields of engineering, project and product management in the next six years, and participated in the main projects of the company that were developed in the state, energy, and financial sectors. Since September 2017, he has been the head of the new data science and machine learning division of the IT automation systems and maintenance processes department. He is responsible for the development and marketing of such products as Naumen Service Management Intelligent Automation and Naumen Service Management Intelligent Automation, as well as data analysis services.
Vladimir Ivanov
Sr. Deep learning engineer
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.
Sergey Vostrikov has been working in the software development sector for more than 20 years. He graduated from Saratov State University, Faculty of Mathematics and Mechanics, and got the Open University degree in financial and information management. For a long time, he has been focusing on specialized software for foreign developers and publishing articles in foreign editions. Besides, Sergey Vostrikov is the author of the Russian book on databases. At the end of 2015, he became the Head of Marketplace and Integration at 1C-Bitrix. He is also engaged in AI integration projects at Bitrix24.
Certified technical expert and consultant with 16 years of experience in the IT industry of Israel, the USA, and Europe, focusing on the product promotion on consumer markets and the development of solutions used by companies included in the Fortune 500 list. Currently, he is engaged in the Russian representative office of Microsoft, specializing in the expertise and growth of digital transformation enterprises. Konstantin Goldstein is also developing the blockchain ecosystem in Central and Eastern Europe. He is the author of the technological acceleration program for startups and development companies.
All speakers
All speakersDenis 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’.
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.
Education – Lomonosov Moscow State University, department of computational mathematics and cybernetics; law department.
Head of legal department, curator of research unit at Garant.
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.
Ivan Zapolsky
Co-founder
Rightech IoT Cloud
Ivan Zapolsky
Co-founder
Rightech IoT Cloud
Deputy CEO of technological development at COMNET.
Zapolsky worked as a product manager for Rightech and then, together with other employees, developed an IoT platform – Rightech IoT Cloud.
was a high-tech project manager at United National Dispatch System (UNDS) and Rosneft.
helped to integrate systems for monitoring transport, the Internet of Things, and integration with ERP, CRM, and IT systems at Delimobil, Rosneft, Surgutneftegas, TNK-VR, MonGeo Navigator Cloud, Navigator C, and others.
From 2012 to 2013, the expert held a position of engineering designer at “Scientific and Production Company Nauchpribor” Ltd.
2013 and 2016, Ivan Zapolsky was a specialist in the technological development department at Navigator Group of Companies.
From 2016 to the present, he has been the Deputy CEO of technological development at COMNET.
Obtained an honors diploma in Applied Mathematics at ‘MATI’- Russian State Aviation Technological University in 2002. In 2010, obtained a Bachelor of Retail Management at Dublin Institute of Technology.
Started climbing his career ladder in the sphere of industrial automation as an Architect and Head of Software Development for systems of automobile bench tests at Germany-based PEUS-Systems (later AVL) within 2000-2003.
Within 2002-2008, Founder and CEO at several companies in the sphere of engineering and sales of equipment for industrial automation in Russia.
Within 2008-2013, worked at Oracle. During his tenure, started from Head of Oracle Direct in Russia, then in June 2012, became a Strategic Initiatives Director at Oracle in Eastern Europe, the CIS, the Near East and Africa.
Since 2013, has been CEO at PTC Russia.
Program
Exhibition area
10 a.m.-6 p.m.
Conference
10 a.m.-6 p.m.
10:00 -10:10
Nikita Kardashin
Head of data science and machine learning solutions development division
NAUMEN
Moderator's welcome speech
10:10 -10:30
Vladimir Ivanov
Sr. Deep learning engineer
Nvidia
"Practical Reinforcement Learning".
10:30 -10:55
Sergey Vostrikov
Head of Marketplace and Integration
1C-Bitrix
"Engineering approach to machine learning. Case studies of victories and defeats".
10:55 -11:20
Konstantin Goldstein
Principal Technical Evangelist
Microsoft
"AI & Blockchain: the next generation of intelligent systems".
11:20 -11:40
Denis Afanasyev
CEO
CleverDATA
"Trends of the audience data market and the role of the machine learning in marketing communication".
11:40 -12:00
Valeriy Babushkin
Head of Data Development at X5 Retail Group, Head of Analytics at Yandex.Sovetnik, lecturer at the Higher School of Economics
"Uplift modeling: nature and mechanisms".
12:00 -12:20
Svetlana Revak
Head of legal department
Garant
"Technology solutions in the law: forecast of judicial decisions".
12:20 -13:00
Panel discussion: "AI and IoT: expectations and reality".
moderator
Roman Chebotarev
ML Architect, Implementation Director.
ZYFRA
speaker
Gleb Korneev
Chief Business Development Officer
Dbrain
speaker
Ivan Golubev
Project Manager
Just AI
speaker
Ivan Zapolsky
Co-founder
Rightech IoT Cloud
speaker
Andrey Sholokhov
CEO
PTC Russia and the CIS
13:00 -13:55
Coffee break
13:55 -14:00
Evgeny Molchanov
Commercial director
RENA SOLUTIONS
Moderator's welcome speech
14:00 -14:25
Mikhail Blagutin
Head of strategy and commercial planning
Yandex.Cloud
"Yandex AI services: machine translation, intelligent speech, and computer vision".
14:25 -14:50
Sergey Yudovskiy
Director General, "Center for Robotics and Artificial Intelligence"
"How will AI and RPA change the economy of the future?"
14:50 -15:10
Sergey Nikolenko
Chief Research Officer, Neuromation
"Synthetic data and creational petterns in Deep Learning".
15:10 -15:30
Vasily Mazin
Chief Research Officer at Mind Simulation laboratory
"Hybrid models application when developing AI systems".
15:30 -15:50
Igor Volzhanin
CEO
DataSine
"AI and psychology: the basis of permission based marketing".
15:50 -16:05
Andrey Karmatsky
CEO
Urbica
"Visualization of big urban data".
16:05 -16:35
"The issue of conversion. Using Data Science in Financial Transactions".
speaker
Roman Doronin
CEO
EORA
speaker
Dmitry Zamaleev
Leading Analyst
QIWI
16:35 -17:00
Mikhail Popov
Founder and CEO
TalkBank.io (virtual bank)
"Chatbot bank. Robotics and application of AI technologies when designing a virtual bank".
17:00 -17:15
Sergey Kuryan
Founder
PR STORY
"Development and integration of products based on neural networks and artificial intelligence".
Sponsors
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Exhibitors
Partners
General Media Partner
Informational partners
Technopolis "MOSCOW"
Moscow, 42 Volgogradskiy ave., build. 5
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