10:00-10:45 Laurent Picard.
Building smarter solutions with no expertise in machine learning


10:50-11:35 Alex Honchar.
Anti-data-science: the Taleb’s barbell in the AI world

Break

11:45-12:30 Oleksandr Konduforov
Maximizing the profits: using ML for Dynamic Pricing problem


12:35-13:20 Volodymyr Getmanskyi
Visual mapping and navigation (Lviv SLAM)



Lunch

14:30-15:15 Mykola Lavreniuk.
Using artificial intelligence methods to solve the problem of recognizing food and drinks in the canteen (KISSA AI project)

15:20-16:05 Pavlo Sakhno / Evgeniy Pahnuk
Platform of the future.


16:10-16:55 Serhiy Protsenko.
DPR – a new AI-disrupt


Break

17:05-17:50 Oleksandr Makarevych.
Predicting Unpredictable: How to bring value to the client who doesn’t know what he wants?

17:55-18:40 Alex Mashrabov
Snapchat ML projects: overview and challenges



18:45-19:30 Alexandr Proskurin
How (not) to Apply ML in Finance: Industry use cases