Data Science UA Conference 6

Data Science UA Conference 6

The knowledge is everything

Data Science UA Conference brings together leaders in machine learning,
analytics, BI, data science, AI for a day-long exploration of
how data trans-forms the World today and what is going to be tomorrow.
On March 16 we will be gathering for the 6th time in Kyiv.

400

Participants

March 16, 2019

From 10:00 to 19:00

Oasis concert hall

Kyiv, Lipkovskogo str, 1A Ultramarine, 3rd floor

Facebook

Speakers

<p style=”text-align: center;”><strong>Andrii Burlutskyi
</strong>Strategic marketing manager, SMART business</p>

Keynote: Intelligent Economies: AI’s Transformation of Industries and Society.

<p style=”text-align: center;”><strong>Andy Bosyi
</strong>Founder and CEO, MindCraft.ai</p>

Data Science + Business: what went wrong

<p style=”text-align: center;”><strong>Anton Vokrug
</strong>CEO, DataTrading — AI for smart trading decisions</p>

Taming Neural Networks or In Search of the Soul of Artificial Intelligence

<div style=”text-align: center;”>

<strong>Marcel Worring
</strong>Professor, Amsterdam Business School, University of Amsterdam

</div>

(Hyper) graph convolutional networks for analyzing social multimedia data

<p style=”text-align: center;”><strong>Nazar Shmatko
</strong>VP of engineering, NeoCortext</p>

Face transfer on video using conditional GANs

<p style=”text-align: center;”><strong>Ksenia Demskaya
</strong>Research Engineer, Ciklum</p>

Adversarial attacks on deep neural networks

<p style=”text-align: center;”><strong>Yana Fareniuk
</strong>Head of Data Science Analytics, OMD MD Intelligence</p>

Brand Metrics: How Data Science helps boost the ROI of the bank's advertising campaign

<div style=”text-align: center;”>

<strong>Ruslan Gutnikov
</strong>Executive Director, OMD MD Intelligence

</div>

Brand Metrics: How Data Science helps boost the ROI of the bank's advertising campaign

<p style=”text-align: center;”><strong>Oleksandr Savsunenko
</strong>Senior Research Engineer, Ring Ukraine</p>

WorkShop: Evolutionary algorithms – applications for AutoML and reinforcement learning

<p style=”text-align: center;”><strong>Halyna Oliinyk
</strong>Natural language processing engineer, 1touch.io</p>

Workshop: Named entity recognition in the wild: intro to development of tensorflow-based system

<p style=”text-align: center;”><strong>Nadiia Romanenko
</strong>Data journalist, Texty.org.ua</p>

WorkShop: Evolutionary algorithms – applications for AutoML and reinforcement learning

<div style=”text-align: center;”>

<strong>Volodymyr Kornienko
</strong>Head of the loyalty program, Chervonyi Market

</div>

AI infusion into Marketing: A Personalized or Personified Marketing Campaign

<p style=”text-align: center;”><strong>Alexandr Honchar
</strong>CTO/Co-founder, NeuronsLab</p>

GAN vs ODE: the end of mathematical modeling?

<p style=”text-align: center;”><strong>Serge Smertin
</strong>Monitoring Stream Lead, Adyen</p>

Analyzing the analytics: auditing models from creation to production

<p style=”text-align: center;”><strong>Dmitriy Solopov
</strong>Business Development Manager Data, AI and Advanced Analytics, SMART business</p>

AI infusion into Marketing: A Personalized or Personified Marketing Campaign

<div style=”text-align: center;”>

<strong>Tetiana Hladkykh
</strong>Research Data Scientist, SoftServe

</div>

Predictive Analytics in Human Resources

<p style=”text-align: center;”><strong>Dmytro Zikrach
</strong>Data Scientist, SoftServe</p>

Predictive Analytics in Human Resources

<p style=”text-align: center;”><strong>Volodymyr Budzan
</strong>Research Engineer, SoftServe R&amp;D</p>

GANs for geophysics applications