In this year's edition of the conference, we would like to focus on the areas:
Among this year's presentations:

Learning From Experiments Without A/B Testing - Case Study From Willa (Swedish FinTech)

TerrariumDB as a streaming database for real-time analytics

Eliminating Bias in the Deployment of AI and Machine Learning

NetWorkS! project - real-time analytics that controls 50% of mobile network in Poland

Data Scientist
Willa
Director of Data Science
Willa
Co-Founder and CTO
Synerise
Chief Technology Officer
Teradata Corporation
Big Data Lead
GetInData
IT Operations Manager
NetWorkS!

Developing and Operating a real-time data pipeline at Microsoft's scale - lessons from the last 7 years

Understanding Query Semantics at eBay

Analytics Translator: The New Must-Have Role for Data-Driven Businesses

How to accelerate your data-driven journey with an analytics framework?

Principal Software Engineering Manager
Microsoft
Staff Data Scientist
eBay Inc
Associate professor Data Driven Business & People Analytic
University of Applied Sciences Utrecht
Director of data & advanced analytics
ICA Gruppen

Auditing your data and answering the life long question, is it the end of the day yet?

Lessons Learned from Containerizing Data Infrastructure at Uber

Implementation of BigData Platform in Digital vs Analog Financial company - case study.

Dashboarding Nightmares: What most people forget to scope

Senior Data Engineer
Aidoc
Sr Software Engineer II
Uber
Head of Architecture, Data and Infrastructure
W1TTY
Analytics Engineer
Xebia

Data Mesh in Practice - How to set up a data driven organization

Moving Apple AI/ML Data Infrastructure into the Cloud

Feed your model with Feast Feature Store

Building a backbone of a data-driven enterprise: Big Delta Lake

Data Engineering Manager
Zalando
Head of Storage & Compute Infrastructure - AI/ML
Apple
Solutions Architect
Bank Millennium
Data Science Manager
Reckitt

COVID-19 is a cloud security catalyst

Analytical cubes in the service of data analysis

Ingesting trillions of events per day with Apache Spark

Introduce Azure into your environment

Group Head of Cloud Delivery
Endava
Engineering Manager for the Data Team
OLX Group
Software engineer
Crowdstrike

How to take advantage of AI benefits in the financial sector?

Privacy-preserving machine learning with TensorFlow and Google Cloud Platform

How to keep the Data Lake clean instead of ending up with the Data Swamp using Data Layers a.k.a Bronze / Silver / Gold

See what’s underground via Machine Learning eyes (powered by cloud solutions)

Solution Architect, independent consultant working for financial market institutions
Credit Agricole project
Machine Learning Engineer
GetInData | Part of Xebia
CEO and Co-founder
Datumo
Junior Data Scientist
SGPR.TECH
Senior Data Scientist
SGPR.TECH

Deduplication and entity resolution with Zingg: open source tool using Spark and ML?

Scaling your data lake with Apache Iceberg

Founder
Zingg
Senior Data Developer
Shopify

26.04.2022 - WORKSHOP DAY

9.00 - 16.00

3-4 PARALLEL WORKSHOPS (independent workshops, paid entry) | on-site, WARSAW

19.00 - 22.00

EVENING MEETING WITH SPEAKERS on-site, WARSAW

on-site (Warsaw, hotel ****) for about 200 particpants and online for about 300 participants - live speakers from the conference room in the hotel, parallel streaming online

27.04.2022 - 1ST CONFERENCE DAY | ONLINE

9.15 - 9. 40

PLENARY SESSION

9.45 - 10.10

KEYNOTE PRESENTATION

10.15 - 11.10

INDEPENDENT PRESENTERS

11.40 - 13.20

PARALLEL SESSIONS

PARALLEL SESSIONS

PARALLEL SESSIONS

PARALLEL SESSIONS

13.20 - 14.15

LUNCH BREAK

14.15 - 15.55

CASE STUDY

CASE STUDY

CASE STUDY

15.55 - 16.15

BREAK

PEER2PEER SHARING

16.15 - 17.15

ROUNDTABLES (ONSITE)

19.00 - 22.00

EVENING PARTY | on-site, WARSAW

28.04.2022 - 2ND CONFERENCE DAY| ONLINE

9.30 - 12.00

WORKSHOPS

WORKSHOPS

WORKSHOPS

WORKSHOPS

12.00 - 13.00

BREAK

13.00 - 13.10

OPENING

13.10 - 13.35

KEYNOTE SESSION

13.40 - 14.10

PARALLEL SESSIONS

PARALLEL SESSIONS

PARALLEL SESSIONS

PARALLEL SESSIONS

14.15 - 14.45

CASE STUDY

CASE STUDY

CASE STUDY

PEER2PEER SHARING

14.45 - 15.40

ROUNDTABLES (ONLINE)

15.40 - 16.45

CASE STUDY

CASE STUDY

CASE STUDY

16.50 - 17.20

KEYNOTE SESSION

17.20 - 17.30

SUMMARY & CLOSING

BIG DATA TECHNOLOGY
WARSAW SUMMIT 2023

March 29 -30, 2023

ORGANIZER

Evention sp. z o.o

Rondo ONZ 1 Str,

Warsaw, Poland

www.evention.pl

CONTACT

Weronika Warpas

+48 570 611 811

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