Big Data Days 2019

 October 8-10   Moscow

SCHEDULE

Workshops
(8th October)
Date: 8th October, 2019.
Time: 10:00-17:00
Doors open at 9:00.
Place: Digital October, Bersenevskaya Naberezhnaya 6с3, 4th floor, Moscow
  • By buying a ticket you receive admission to only one workshop of your choice.
  • Every workshop lasts for whole day. All workshops are held at the same time, therefore by buying a ticket you can participate in only one workshop of your choice. You cannot change your choice of a workshop. Language of a workshop depends on the speaking language of the trainer.
  • Language of each workshop is noted on each card.
  • There will be no simultaneous translation during workshops, but, taking into account previous experience, all trainers are aware of the language barrier and are going to put in as much effort as possible to ease the understanding of the theme.
  • Each participant has to have a personal notebook on him.

Data culture as a part of digital transformation – challenges and solutions (RU)

SOLD OUT

Mikhail Petrov
Счетная палата Российской Федерации

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1st Conference Day
(9th October)

Simultaneous interpretation will be provided in Hall #2.

Time Hall 1 Hall 2 Hall 3
09:00 - 10:00 Registration
10:00 - 10:10 Opening of the conference
10:10 - 11:05
OPENING KEYNOTE:
Data Science for Lazy People, Automated Machine Learning (EN)
Diego Hueltes
RavenPack
Presentation
Hall 1
11:15 - 12:00 How to increase A/B convergence time 10-100 times (RU)
Valeriy Babushkin
X5 Retail Group/ Yandex
Presentation
Hall 1
What it takes to build production ready AI solution (EN)
Nenad Bozic
SmartCat
Presentation
Hall 2
Big Data on Kubernetes (EN)
Maciej Bryński
Payability
Presentation
Hall 3
12:00 - 12:15 Coffee Break
12:15 - 13:00 How to Ensure the Work of the Data-Model of a Business (RU)
Denis Emelyantsev
McKinsey & Company
Presentation
Hall 1
Big Data as a Fuel for Economy of Impressions (RU)
Yulia Bogachyova
QIWI
Presentation
Hall 2
The Semiotic Analysis of Legal texts (RU)
Vladimir Krylov
Artezio
Presentation
Hall 3
13:00 - 14:00 Lunch
14:00 - 14:45 ML Pipeline: Structuring Data Analysis Projects (RU)
Kirill Vasin
SEMrush
Presentation
Hall 1
Data Science as a Service (EN)
Arno Broekhof
Dataworkz
Presentation
Hall 2
How to build the career transformation road map in Big Data (RU)
Elena Gerasimova
Netology
Presentation
Hall 3
14:55 - 15:40 Deep Learning Applied to Failure Management in Apache Spark (ENG)
Guglielmo Iozzia
MSD
Presentation
Hall 1
Advanced (elastic) search for your legacy application (EN)
David Pilato
elastic
💻 Live coding
Hall 2
A head start on Cloud-native Event Driven Applications (EN)
Sriskandarajah Suhothayan
WSO2
Presentation
Hall 3
15:40 - 16:00 Coffee Break
16:00 - 16:45 Key tips for successful Data Science project (RU)
Vladimir Dmitriev
Visiology
Presentation
Hall 1
Introducing the new Cloudera Data Platform. From the Edge to AI (EN)
Gergely Devenyi
Cloudera
Presentation
Hall 2
Mass Scoring in CRM – Secrets and Pitfalls (RU)
Aleksandr Serbul
1C-Bitrix
Presentation
Hall 3
16:55 - 17:40 Data-driven Cases for Business Amplification in Modern Digital Banking (RU)
Nikita Pustovoytov
BCS
Presentation
Hall 1
On board Artificial Intelligence : train, deploy and use Deep Learning on an edge device, a Raspberry Pi (EN)
Constant Bridon
OCTO TECHNOLOGY
Presentation
Hall 2
Fault-Tolerance and Load Balancing for Your MySQL Backend (RU)
Vlad Fedorkov & Anastasia Raspopina
ProxySQL
Presentation
Hall 3
17:50 - 18:35 Building Enterprise Data Platforms Based on Open Source (RU)
Sergey Zolotarev
Arenadata
Presentation
Hall 1
AI in Banking (RU)
Andrey Leushev
Farzoom
Presentation
Hall 2
TBA
Hall 3
2nd Conference Day
(10th October)

Simultaneous interpretation will be provided in Hall #2.

Time Hall 1 Hall 2 Hall 3
09:00 - 10:00 Registration
10:00 - 10:10 Opening of the second conference day
10:10 - 11:05 Big Data Integration: ETL, ELT, Data Lake, Data Mesh – part I (RU)
Alexander Breyman
Luxoft Training
Presentation
👷 Workshop
Hall 1
Real time Data Pipelines using Spark Streaming (EN)
Yulia Stolin
Outbrain
Presentation
Hall 2
Do Androids Dream of Electric Guitars? How I Taught Neural Network to Compose Music (RU)
Andrey Shagalov
Artezio
Presentation
Hall 3
11:15 - 12:00 Big Data Integration: ETL, ELT, Data Lake, Data Mesh – part II (RU)
Alexander Breyman
Luxoft Training
Presentation
👷 Workshop
Hall 1
Who needs Data Governance? (EN)
Milos Milovanovic
Things Solver
Presentation
Hall 2
Sample size estimation and machine learning model selection (RU)
Vadim Strijov
MIPT State university
Presentation
Hall 3
12:00 - 12:15 Coffee Break
12:15 - 13:00 Data Science Toolbox: Sklearn and Beyond (RU)
Maxim Panteleev
Luxoft Training
Presentation
Hall 1
Distributed Deep Learning with Keras and TensorFlow on Apache Spark (EN)
Guglielmo Iozzia
MSD
Presentation
Hall 2
Bringing Big Data to People Inside a Huge Investment Bank: How We Built Business Intelligence on Clickhouse with Row-Level Security (RU)
Pavel Yakunin & Denis Goihburg
Deutsche Bank Technology Center
Presentation
Hall 3
13:00 - 14:00 Lunch
14:00 - 14:45 Building Large Tarantool Cluster with 100+ Nodes (RU)
Yaroslav Dynnikov
Tarantool, Mail.Ru Group
Presentation
Hall 1
Big “Serverless” Data (EN)
Eric Johnson
Amazon Web Services
Presentation
Hall 2
Home Credit: Our Road to Data Driven (RU)
Vladimir Bogdanovskiy
Home Credit Bank
Presentation
Hall 3
14:55 - 15:40 What to begin the client data analysis with and how not to get lost in Big data (RU)
Sergey Shopik
Customer Experience Laboratory
Presentation
Hall 1
Disrupting Data Discovery at Lyft with Amundsen (EN)
Philippe Mizrahi
Lyft
Presentation
Hall 2
Data Science & AI: Infrastructure Matters (EN)
Kelly Schlamb
IBM Canada Ltd.
Presentation
Hall 3
15:40 - 16:00 Coffee Break
16:00 - 16:45 Integrating Small Data, Synthetic Data in AI Strategy for Fashion Retail (RU)
Andrey Golub
ELSE Corp Srl
Presentation
Hall 1
Breaking out the lead scoring algorithm (EN)
Valentina Djordjevic
Things Solver
Presentation
Hall 2
From neural networks to outsmarting the local authorities (EN)
Bogdan Ivtsjenko
Dataworkz
Presentation
Hall 3
16:50 - 17:20
QUIZ
17:20 - 18:15
CLOSING KEYNOTE:
Managing Your Black Friday Logs (ENG)
David Pilato
elastic
Presentation
Hall 1
18:15 - 18:20
Closing of the conference