Speakers

Jeremy
Achin

CEO & Co-Founder DataRobot
Journey into future of Data Science

Dmitriy
Novitskiy

Associate Research Professor Institute for Cybernetics of NASU
Neural associative memory: history and prospects

Artem
Chernodub

Research Fellow IMMSP NASU
The proper testing applications that contain Computer Vision and Machine Learning

Mikhail
Odintsov

Senior Software Engineer DataRobot
Data Science for gamers

Anton
Vokrug

CEO Data Prom
The real cases of Big Data usage in business

Aleksandr
Korobov

CEO AI Labs
Conquer textual data in Machine Learning: Past and Future

Oles
Petriv

Data Scientist VideoGorillas
Generative visual models and methods of training

Dmitriy
Chaplinskiy

Senior developer/tech architect @Zone Digital
Natural Language Processing for Ukrainian language

Igor
Kostyuk

Data Scientist SoftServe
Intro to Deep Learning and examples of real projects

Yuriy
Pashchenko

Senior Data Mining Engineer Whirl Software PTE LTD
Deep Learning in startups

Yaroslav
Nedashkovskiy

System Architect SoftElegance
How we tamed the industrial data the example of the oil industry

Sergey
Sviridenko

Data Scientist Ciklum
Data Science in Business. Example from Debt Collection Industry

Vladislav
Sikach

Founder MySales LabsHead of Process Development Unit VFG (financial services)
Data Science in Business. Example from Debt Collection Industry

Yevgeniy
Lokhmatov

Founder MySales LabsCEO and Co-founder Fractal.tools
The use of Al-elements and BI-systems in the creation of IoT- solutions

Aleksey
Ivasyuk

Founder MySales Labs
Sales and promotion modeling, Artificial Intelligence in Retail

Program Conference

9:00

Registration

10:00

Сonference opening

10:05

Jeremy Achin

Journey into future of Data Science

10:25

Technical stream

Business stream

Artem Chernodub

The proper testing applications that contain Computer Vision and Machine Learning

Anton Vokrug

The real cases of Big Data usage in business

11:15

Mikhail Odintsov

Data Science for gamers

Watch video >>>

Dmitriy Chaplinskiy

Natural Language Processing for Ukrainian language

12:05

Coffee break

12:20

Aleksandr Korobov

Conquer textual data in Machine Learning:Past and Future

Watch video >>>

Yaroslav Nedashkovskiy

How we tamed the industrial data the example of the oil industry

Watch video >>>

13:10

Igor Kostyuk

Intro to Deep Learning and examples of real projects

Watch video >>>

Aleksey Ivasyuk

Sales and promotion modeling, Artificial Intelligence in Retail

Watch video >>>

14:00

Lunch

15:00

Dmitriy Novitskiy

Neural associative memory: history and prospects

Watch video >>>

Yuriy Pashchenko

Deep Learning in startups

Watch video >>>

 

15:50

Yevgeniy Lokhmatov

The use of Al-elements and BI-systems in the creation of IoT- solutions

Watch video >>>

16:40

Coffee break

17:00

Oles Petriv

Generative visual models and methods of training

Watch video >>>

Sergey Sviridenko
Vladislav Sikach

Data Science in Business. Example from Debt Collection Industry

Watch video >>>

18:00

Closing of the conference

The conference is supported by our partners:

General partner

Jeremy Achin
CEO & Co-Founder
www.datarobot.com

Jeremy is a Data Scientist turned entrepreneur. As CEO of DataRobot, Jeremy sets the direction of the company, products, and the culture. He’s passionate about helping organizations become more efficient by deploying machine learning everywhere.

Prior to DataRobot, he was Director of Research and Modeling at Travelers Insurance where he built predictive models for pricing, retention, conversion, elasticity, lifetime value, customer behavior, claims and much more.

A true data science enthusiast, Jeremy spends his spare time building predictive models, usually on the data science competition platform Kaggle.com. Jeremy studied Math, Physics, Computer Science, and Statistics at University of Massachusetts, Lowell.

DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of the most powerful open source algorithms, the DataRobot platform automates, trains and evaluates predictive models in parallel, delivering more accurate predictions at scale and offering the fastest path to data science success.

Based in Boston, with offices in Kyiv, London, Singapore and Japan, DataRobot was founded in 2012 and has raised more than $57 million from New Enterprise Associates, Accomplice, Intel Capital, IA Ventures, Recruit Strategic Partners, and New York Life.
For more information: www.datarobot.com