<p style=”text-align: center;”><strong>Andrii Burlutskyi
</strong>Strategic marketing manager, SMART business</p>
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.
Speakers
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&D</p>
GANs for geophysics applications
