Data Science UA Conference 7

Data Science UA Conference 7

Exploring the black box

Data Science UA is a conference on Machine Learning, Artificial Intelligence and Data Science

500

Participants

October 19, 2019

10:00 to 19:00

Oasis concert hall

Oasis concert hall Kyiv
Kyiv, Lipkovskogo str, 1A
Ultramarine, 3rd floor

Facebook

Speakers

Romain Paulus
Lead Research Scientist, Salesforce

Theme: Abstractive Text Summarization with Deep Learning

Stevan Rudinac
Associate Professor, Artificial Intelligence for Business, University of Amsterdam

Theme: Multimedia Analytics for Business

Vitalii Duk
Engineering Lead, Machine Learning, Careem

Theme: Scaling Machine Learning at Careem

Sergey Kuprienko
General Manager of Research, Ring Ukraine

Theme: Getting CV Done: delivery, monitoring, synthetic data

Panel discussion

Exploring the black box

Nika Tamaio Flores
Head of Consulting, Data Science UA

Borys Pratsiuk
CTO and Founder, VideoGorillas

Mariana Romanyshyn
Technical Lead, Computational Linguist, Grammarly

Dmytro Lavrinenko
Director — Technology, GlobalLogic

Hosts

Jane Klepa
Executive director, 1991 Open Data Incubator
Daniel Che
Comandante in “Che – Guerrilla Marketing”

Gallery

Conference program

Technical track

Business Track

Workshops

Registration

9:00 — 10:00

Conference opening

10:00 — 10:30

Abstractive Text Summarization with Deep Learning

ENG

Romain Paulus

Lead Research Scientist
Salesforce

10:45 — 11:30

PDF

Customer segmentation as a tool to grow your business metrics

RUS

Serhii Kochubei

Director of analytics department
Murka

10:45 — 11:30

PDF

Coffee break

11:30 — 11:50

AI in drug design

UKR

Oleksandr Gurbych

Machine Learning Engineer
SoftServe

11:50 — 12:35

Multimedia Analytics for Business

ENG

Stevan Rudinac

Associate Professor Artificial Intelligence
University of Amsterdam

11:50 — 12:35

PDF

Effective face representation without masks and landmarks using CNN

UKR

Oles Petriv

Machine learning engineer and researcher
NeoCortext

12:45 — 13:30

Three steps to successful ML product

UKR

Olexiy Oryeshko

Staff Software Engineer
People.AI

12:45 — 13:30

PDF

3D meets Neural Networks

RUS

Oleksandr Savsunenko

Senior Research Engineer
Ring Ukraine

11:40 — 13:30

PDF

Lunch

13:30 — 14:30

Scaling Machine Learning at Careem

ENG

Vitalii Duk

Engineering Lead Machine Learning
Careem

14:30 — 15:15

PDF

Industrial Data Science to Production: Energy Consumption Forecasts

RUS

Yaroslav Nedashkovskyi

Co-founder
a-Gnostics

14:30 — 15:15

Automated speech recognition for transcription and captioning

RUS

Kostiantyn Pylypenko

Speech recognition engineer
Verbit.ai

15:25 — 16:10

PDF

The lifecycle of creating a real AI-based product

UKR

Kateryna Stetsiuk

Head of R&D
ARVI

15:25 — 16:10

PDF

Coffee break

16:10 — 16:30

Automotive perception for advanced driver assistance using DNN

UKR

Sergii Bykov

Technical Lead R&D
Apostera GmbH

16:30 — 17:15

PDF

Getting CV Done: delivery, monitoring synthetic data

RUS

Sergey Kuprienko

General Manager of Research
Ring Ukraine

16:30 — 17:15

Unsupervised image alignment to solve temporal consistency tasks

UKR

Nazar Shmatko

VP of engineering
NeoCortext

14:30 — 16:20

PDF

Panel discussion

Exploring the black box

Nika Tamaio Flores

Head of Consulting
Data Science UA

Moderator

Borys Pratsiuk

CTO
Scalarr

Mariana Romanyshyn

Technical Lead Computational Linguist
Grammarly

Dmytro Lavrinenko

Director — Technology
GlobalLogic

17:30 — 19:00