Find out how to apply AI
technologies to improve:
- sales;
- production;
- marketing;
- customer service.
November 22, 2018
Moscow
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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Vladimir Ivanov
Sr. Deep learning engineer, Nvidia
Vladimir Ivanov
Sr. Deep learning engineer, Nvidia
NVIDIA specializes in high-performance computing, development of processors and graphics accelerators. The American hardware developer is known in the market under such brands as Quadro, Tesla, ION and Tegra. The results of their work are used by scientists, artists and gamers, for whom 3D graphics and high power of the GPU are important.
Volzhanin 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.
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.
All speakers
All speakers
Vasily Mazin
Chief Research Officer at Mind Simulation laboratory
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.
Program
Exhibition area
10 a.m.-6 p.m.
Conference
10 a.m.-6 p.m.
10:10 -10:35
Vladimir Ivanov
Sr. Deep learning engineer, Nvidia
"Reinforcement learning (RL) for beginners".
Main theses:
10:35 -11:00
Igor Volzhanin
CEO
DataSine
"Your customer is a personality. AI and psychology allow to build trust-based marketing".
Main theses:
11:00 -11:25
Denis Afanasyev
CEO
CleverDATA
"Trends of the audience data market and the role of the machine learning in marketing communication".
Main theses:
11:25 -11:50
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"
Main theses:
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?"
Main theses:
15:40 -16:05
Vasily Mazin
Chief Research Officer at Mind Simulation laboratory
"Hybrid models application when developing AI systems".
Main theses:
MOSCOW
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