At AI conference, you will learn:

  • How business processes will change due to the implementation of artificial intelligence.  
  • When the chatbot becomes an assistant.
  • What tools should be used to implement artificial intelligence into your projects.
  • Opportunities of applying facial and emotion recognition technologies in retail.
  • AI algorithms for diagnosing diseases.

 

  • How deep learning technology helps to increase online marketing efficiency.
  • AI application in car industry and service robotics.
  • Application of AI technologies in processing natural language in the voice search and translation.
  • How machine learning technologies influence the customer service.
  • How AI face recognition solutions improve customer satisfaction.
Presentation

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Exhibition area

Exhibition area Exhibition area

Leading international companies and developers will present the latest AI products and business solutions.

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Conference 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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Conference
Investment panel

Investment panel Investment panel

Conference will feature the meeting of investors and founders of startup projects.

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Startup Battle Startup Battle

Event will involve a contest between startup projects dedicated to AI developers.

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Startup Battle

Speakers

Igor Volzhanin

Denis Afanasyev

Sergey Yudovskiy

 Vladimir Ivanov

All speakers

All speakers
Vasily Mazin

Valeriy Babushkin

Sergey Nikolenko

Roman Chebotarev

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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

Nikita Kardashin

10:10 -10:30

Vladimir Ivanov

Sr. Deep learning engineer

Nvidia

"Practical Reinforcement Learning".

  • General formulation of the problem. To solve many problems, it is necessary to build a system that learns to make right decisions on its own. It can be used in robotics and games;
  • How does RL differ from supervised and unsupervised learning? Video examples of RL application;
  • Imitation learning. An example with autonomous driving, and how it is done in NVIDIA and Tesla. How to get and mark data;
  • Simulations. If there is an effective simulation engine, then you can generate data and learn with its help;
  • How to transfer an agent to the real world? Video examples.

 

 Vladimir Ivanov

10:30 -10:55

Sergey Vostrikov

Head of Marketplace and Integration

1C-Bitrix

"Engineering approach to machine learning. Case studies of victories and defeats".

  • Machine Learning – new innovation;
  • First tasks, then tools;
  • Machine learning without Big Data;
  • Data Satanism for ordinary people.
Sergey Vostrikov

10:55 -11:20

Konstantin Goldstein

Principal Technical Evangelist

Microsoft

"AI & Blockchain: the next generation of intelligent systems".

  • Synergy of opposites;
  • Areas and scenarios of application;
  • Truly smart AI contracts;
  • Review of tools.
Konstantin Goldstein

11:20 -11:40

Denis Afanasyev

CEO

CleverDATA

"Trends of the audience data market and the role of the machine learning in marketing communication".

  • Peculiarities of the data market development in Russia;
  • Foreign market development trends;
  • Regulation of the data market including GDPR;
  • Machine learning in marketing communications;
  • Case studies: results of machine learning application.
Denis Afanasyev

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".

  • What is uplift modeling;
  • How does it affect the user;
  • How to reduce the customer churn using it;
  • How to define the customer price elasticity.
Valeriy Babushkin

12:00 -12:20

Svetlana Revak

Head of legal department

Garant

"Technology solutions in the law: forecast of judicial decisions".

  • Which technologies are involved in the task of judicial decisions forecasting;
  • What are the existing forecasting models based on;
  • Efficiency of offered solutions.
Svetlana Revak

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

Roman Chebotarev
Gleb Korneev
Ivan Golubev
Ivan Zapolsky
Andrey Sholokhov

13:00 -13:55

Coffee break

Coffee break

13:55 -14:00

Evgeny Molchanov

Commercial director

RENA SOLUTIONS

Moderator's welcome speech

Evgeny Molchanov

14:00 -14:25

Mikhail Blagutin

Head of strategy and commercial planning

Yandex.Cloud

"Yandex AI services: machine translation, intelligent speech, and computer vision".

  • How do Yandex clients use speech recognition and speech synthesis services? Where is this technology going?
  • Who needs machine translation?
  • Yandex computer vision capabilities: what are the key benefits of this technology?
Mikhail Blagutin

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?"

  • What is the economy of abundance;
  • How AI can help the outdated economy model;
  • How to survive transformations in the economy;
  • What is the Industry 4.0;
  • Case studies: advantages of robotics and AI.
Sergey Yudovskiy

14:50 -15:10

Sergey Nikolenko

Chief Research Officer, Neuromation

"Synthetic data and creational petterns in Deep Learning".

  • Synthetic data and various approaches to their application;
  • Development of synthetic data from scratch;  
  • Modern augmentation methods;
  • Neuromation’s deep learning case studies.
Sergey Nikolenko

15:10 -15:30

Vasily Mazin

Chief Research Officer at Mind Simulation laboratory

"Hybrid models application when developing AI systems".

  • Hybrid modular approach;
  • AI core: structures and interaction;
  • Which tasks the AI core solves;
  • How the development of the AI cores evolves.
Vasily Mazin

15:30 -15:50

Igor Volzhanin

CEO

DataSine

"AI and psychology: the basis of permission based marketing".

  • The impact of psychology and AI on the marketing conversion;
  • Machine learning for personalized communications;
  • Personalization: from profiling to outcome analysis;
  • DataSine case studies.
Igor Volzhanin

15:50 -16:05

Andrey Karmatsky

CEO

Urbica

"Visualization of big urban data".

  • Exploratory data analysis as an unshakable technique for the perception of data.
  • Analysis of customer behavior using artificial intelligence technology.
  • Can you believe all data in the AI epoch?
  • How data visualization can help to make the world a better place to live?
Andrey Karmatsky

16:05 -16:35

"The issue of conversion. Using Data Science in Financial Transactions".

  • Preparation and analysis of banking transactions;
  • Building predictive models;
  • Experience of interaction with QIWI and solving banking cases.

speaker

Roman Doronin

CEO

EORA

speaker

Dmitry Zamaleev

Leading Analyst

QIWI

Roman Doronin
Dmitry Zamaleev

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".

  • Automation of AI and ML in bank development;
  • Robot processing of customer requests;
  • Reduction of expenses for customer assistance using technologies.
Mikhail Popov

17:00 -17:15

Sergey Kuryan

Founder

PR STORY

"Development and integration of products based on neural networks and artificial intelligence".

  • It is time: why now?
  • AI-based products: a modern market trend;
  • Problem solving products are required;
  • Case studies of integration.
Sergey Kuryan

17:15 -17:35

Artem Salata

Service manager

ITSK (Information Technology Service Company)

"Integration of a chatbot into IT services".

  • Employee internal service: setting goals;
  • Search for optimization points and dividing tasks into stages;
  • Integration: industry challenges and prospects.
Artem Salata
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