Devjam Session: Data Science: Where is Data Science now? At which stages of the product development is it used, what do you need to get the best results, and what are the most common ways to fail? In this session, we are talking about how the data science process is seen from the eyes of a person who does data science — and what can a developer do to make the collaboration with data scientists as productive (and maybe even enjoyable!) as possible.

About Anastasia Miller: Data Scientist specializing in text analytics, 8 years of experience in different data-related roles. I observed and first-hand experienced building, failing, and succeeding data culture in large organizations.

Agenda

# 🏢 18:00: Doors, open; Pizza, beers, and wine

# 🎫18:30: Anastasia Miller: Decoding Data Science for Developers

# 🍕🍺19:15: Pizza, beers, wine

# 🎤19:30: Discussion: What are the ways to use AI in my project and burn myself? A 1-hour discussion with people who have forgotten more about AI than most of us will ever learn.

# 🍺20:30: Drinks and networking