AI Conference 

Find out how to apply AI
technologies to improve:

- sales;
- production;
- marketing;
- customer service.

Date is to be confirmed


Moscow

On 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.

Integration of AI into business

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.

How will business benefit from AI?

Artificial intelligence allows you to collect, store, classify and process massive amounts of structured and unstructured information.

Processing of big data

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

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

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

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

Company management

Presentation

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Demo area

Demo area Demo 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
For exhibitors

For exhibitors

For sponsor

For sponsor

For Infopartners

For Infopartners

Speakers

Oleg Danilchenko

Eugene Kolesnikov

Ilya Ukrainets

Alexander Khanin

All speakers

All speakers
Stanislav Kladov

Kirill Petrov

Dmitry Korobchenko

Mikhail Belyaev

Roman Davydov

Sergey Lukashkin

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Program

Expo zone

Conference

10:00-10:15

Oleg Danilchenko

Head of competence center for applied data analysis

PwC, Russia

Moderator's welcome speech

Oleg Danilchenko

10:15-10:40

Eugene Kolesnikov

Head of the Big data and machine learning focus area

Jet Infosystems

"How Machine Learning predicts the company's needs for IT support. A case study"

How do e-commerce, banks and insurance companies get rid of crashes and fails caused by the high IT support load? Imagine a big e-commerce case: stable model predicts a change in the IT resources load depending on the growth/decline of business indicators and various factors (stocks, sales, etc.) and also increases business results.

Eugene Kolesnikov

10:40-11:00

Ilya Ukrainets

Co-founder of Addi

Head of user acquisition of Vezet Group

"When chatbot becomes a business assistant"

We’ll talk about how, chatbots have turned into smart assistants and learned to solve real business problems in recent years: from accepting applications to automating internal processes. We will discuss the integration of chatbots into the business environment: types of tasks for bots, ways to find business processes that require automation, as well as which bots will be in demand in the next 3 years.

Ilya Ukrainets

11:00-11:25

Alexander Khanin

CEO

VisionLabs

"Face recognition and analysis for retail and financial sphere"

The presentation will provide real case studies in the sphere of biometric identification introduction as well as possible difficulties, needed resources and what to expect from the technology adoption in the future. We will also talk about the automation of identity identification in existing service channels as well as the inclusion of remote client identification in remote channels.

Alexander Khanin

11:25-11:50

Stanislav Kladov

Architect at IBM Client Center in Moscow

IBM

"How IBM’s augmented intelligence helps businesses"

While many people are striving for the full replacement of human being in certain areas, let’s step back and examine the augmented intelligence concept. The speaker will reveal how IBM helps to create assistants to various specialists as well as what pitfalls one should expect, and what it can lead to.

Stanislav Kladov

11:50-12:10

Kirill Petrov

Founder and Managing Director

Just AI

"Chatbots in natural language: a tool for developers and businesses"

The following issues will be covered:

  • Solutions to key business tasks using the example of a platform for developing smart chatbots: how to quickly create a bot, debug its functions, train it to understand the natural language.
  • Creating behavior pattern of the bot.
  • Cases of introducing chatbots in various industries.
Kirill Petrov

12:10-12:35

Dmitry Korobchenko

Deep Learning R&D Engineer

NVIDIA

"Deep learning: review of the technology and examples of application"

Deep neural networks are a core of today’s artificial intelligence. Nowadays, they allow us to successfully solve problems in such areas as computer vision, natural language processing, and mining of other data types. Moreover, the technology of deep neural networks learning proved feasible for creative tasks resolution: a synthesis of unique content from some concept or idea. The presentation will cover the mechanism of today’s neural networks working and learning, the nature of deep learning and its application spheres.

Dmitry Korobchenko

12:35-13:00

Mikhail Belyaev

Research Scientist, Head of Algorithm Development Group of CoBrain-Analytics project

Skoltech

"Deep learning for neurovisualization data analysis"

The medical image analysis solves a whole range of machine learning tasks, including segmentation, classification, search and synthesis of medical images. Several key features of medical image data extract significantly limit the use of conventional deep learning methods developed to analyze two-dimensional images. First off, data high dimension is accompanied by a quite low volume of learning sample, while the application of data augmentation methods is pretty limited. Besides, a big size of 3D images imposes certain restrictions and leads to the development of specific convolution network architectures. Finally, data tool variability has a significant impact on the analysis outcome. During the presentation, we will discuss the use of deep learning methods to solve such tasks and provide several examples of neurovisualization data analysis projects.

Mikhail Belyaev

13:00-14:00

Panel discussion "Application of AI technologies in banking"

moderator

Roman Davydov

Investment banker, founder

SKOLKOVO Private Banking & Wealth Management Club

speaker

Andrey Oberemok

Managing Director for data and development of Big Data and AI technologies at Corporate Business

PJSC Sberbank

speaker

Sergey Lukashkin

Digital Transformation Project Management Director

VTB Bank

Roman Davydov
Andrey Oberemok
Sergey Lukashkin

14:00-14:50

Coffee break

Coffee break

14:50-15:00

Andrey Oberemok

Managing Director for data and development of Big Data and AI technologies at Corporate Business

PJSC Sberbank

Moderator's welcome speech

Andrey Oberemok

15:00-15:20

Rostislav Plankin

CEO

Marketingbot

"Mobile Messenger Marketing"

Mobile Messenger Marketing as a necessary part of companies’ digital strategies in 2018–2019. Messengers are going to become a primary entry point to the Internet, development prospects in Russia and threat for Yandex and Google search systems.

Rostislav Plankin

15:20-15:40

George Fomichev

Founder Endurance

"Business and chatbots. Successful business cases"

Why large companies have already noticed chatbots.

How do they help save money, increase sales and customer satisfaction index.

Successful business cases, metrics, development plans.

George Fomichev

15:40-16:05

Dmitry Babaev

Researcher at Sberbank’s Artificial Intelligence Lab

Sberbank

"Problems of current-generation deep neural networks"

Deep learning of neural networks has been a breakthrough in the evolution of artificial intelligence systems. Many tasks lying beyond the reach of classic machine learning techniques have been solved at the level close to human abilities or even at a higher level. However, there are significant problems in teaching neural networks that seriously restrict their application. Examples of such problems include a large amount of marked data required to teach a network, difficulties of transferring the experience of a trained network on other tasks. The speaker will elaborate on these problems and possible ways of their solution.

Dmitry Babaev

16:05-16:25

Alexey Redozubov

Member of Presidium of the Support foundation of scientific research on mechanisms of brain function, therapy, neuromodelling named after Academician N.P. Bekhtereva.

"A new approach to solving the problem of strong generalization, based on modern ideas about brain function"

Modern neural networks are based on knowledge of the brain function of the early 20th century. There are fundamental limitations, including the training and stability of these algorithms. There have been many significant discoveries in understanding the brain over the past 20 years, which allowed us form a new concept of the brain function. This concept formed the basis of the development of a new type of neural networks that will work with the meaning of information, create strong generalizations and strong AI.

Alexey Redozubov

16:25-16:50

Dmitry Soshnikov

Senior Technical Evangelist

Microsoft

"Solving problems of computer vision based on Microsoft technologies: from simple to complex"

Computer vision is one of the most important components of AI, it is used to solve a wide range of practical problems: from collecting smart data from surveillance cameras video stream to automatic tag generation in photographs. Traditionally, the introduction of such technologies requires not only high qualification of developers, but also huge amounts of training data - hundreds of thousands of examples and more.

We will look at how computer vision tasks can be implemented using various solutions from Microsoft: starting with solving typical tasks based on cognitive services, using the custom vision service to create recognition models and also on the basis of neural networks using Cognitive Toolkit. We will take a look at the technologies themselves and give some examples of using image recognition in practice.

Dmitry Soshnikov

16:50-17:15

Aleksander Belousov

СЕО, founder

SOLUT

"Industrial IoT: movement recognition technology for efficiency improvement in production"

Since Henry Ford’s invention of assembly line, the efficiency of physical work has not changed crucially. SOLUT develops an industrial IoT project aimed at analyzing the efficiency of staff labor time in the manufacturing segment, construction sector, housing and public utilities, and other branches of economy.

The project goal is to increase the working efficiency of blue-collar job representatives by designing portable devices to determine down time, critical abnormalities of technological process, and violation of safety techniques.

Devices monitor workers’ activity during their shifts using acceleration indicators and gyroscopes as well as recognize types of activities typical for every certain specialty using patterns based on machine learning methods.

Aleksander Belousov

17:15-17:35

Alexander Berenov

CEO

Inspector Cloud

"Features of computer vision application in business processes of retail companies"

  • What are the tasks of retail chains?
  • What are the tasks of goods manufacturers?
  • Why retail chains have not yet implemented shelf space monitoring.
  • How FMCG brands have become technology proponents in the retail sector.
  • How computer vision changes business processes for the largest FMCG companies.
Alexander Berenov
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