February 23, 2021 - Big Data Technology Warsaw Summit Workshops Day*

9:00 – 13:00

3 WORKSHOPS - DAY I

19.00 - 20.00

EVENING MEETING
(speaker’s presentation + discussion)

Pandemic, data and analytics – how do we might know what happens next with Covid-19?

Special evening meeting prior to the BigData Technology Warsaw Summit.

There are smart people and great research teams working on the forecasting models for pandemic developments. What data do they use, which models, how it could be approached, how accurate it is, what are the major challenges here? How does the bigdata community contribute to fighting the Covid-19 disease? These are the questions we would like to address during this unique online meeting. We have invited the very special guests (including experts from MOCOS and ICM UW) – everyone is encouraged to participate in discussion and ask questions!

♦ What makes the field of pandemia modelling and simulation so interesting and challenging? How to predict risks using available data and proper modelling?

♦ How is it done – large scale geographical microsimulation model for pandemics?

♦ What can we do for a better pandemic forecasting and predicting efficiency of various countermeasures to slow it down? Is an AI/ML enough?

♦ There are many different models of pandemic developments. Is there a clear winner – which model performs best and why?

February 24, 2021 - Big Data Technology Warsaw Summit Workshops Day 2*

9:00 – 13:00

3 WORKSHOPS - DAY II

19.00 - 20.00

EVENING MEETING
(speaker’s presentation + discussion)

All about the jobs in the BigData industry in the (post)-COVID-19 world.

Special evening meeting prior to BigData Technology Warsaw Summit.

Let’s talk about the current situation at the job market for BigData Professionals. What is hot and what is not? Who is now searched by the employers and how do they do it? What are the expectations and requirements? Does the pandemic change a lot here at jobs landscape? What does the ‘remoteness’ of work makes difference? What are the future trends in the way we work together?

During the meeting there will be a discussion with top managers from companies actively acquiring new talents on the BigData market  as well as managing Big Data teams.

February 25, 2021 -  Big Data Technology Warsaw Summit Day 1*

8.00 - 9.00

REGISTRATION AND WELCOME COFFEE

9.00 - 9.10

CONFERENCE OPENING

CEO and Co-founder
GetInData
CEO & Meeting Designer
Evention

12.30 - 13.00

NETWORKING ONLINE

13.00 - 14.00

PLENARY SESSION

14.00 - 15.10

SIMULTANEOUS SESSIONS PART I

Architecture Operarations & Cloud

Data Engineering

MLOps

AI, ML and Data Science

Architecture Operarations & Cloud

The Scalable Gaming Analytics Pipeline at Outfit7: The Next Generation

Keywords: #googlecloud #bigquery #events #scalable

Principal software engineer
Outift7
Data Engineering

Data Quality with 100+ PB: Solved Challenge at Criteo

Keywords:#dataquality #dataplatform #metrics #hive

Data Engineer
Criteo
Lead Data Engineer
Criteo
MLOps

MLOps journey in H&M

Keywords: #MLOps #AIAtScale #MachineLearning #Engineering #DataScience

Competence lead , Machine learning engineer
H&M
AI, ML and Data Science

Building recommender systems: from algorithms to production

Strategic Consultant
Architecture Operarations & Cloud

Presentation will be published soon

Data Engineering

Presentation will be published soon

MLOps

Presentation will be published soon

AI, ML and Data Science

Thrive in the Data Age how Siemens and BMW leverage machine learning for cybersecurity, operations and business use cases using Splunk 

Keywords: #datascience #ai #machinelearning #deeplearning #cybersecurity #operations #analytics

Principal Machine Learning Architect
Splunk

15.15 - 16.10

ROUNDTABLE SESSIONS PART 1

Parallel roundtables discussions are the part of the conference that engage all participants. It has few purposes. First of all, participants have the opportunity to exchange their opinions and experiences about specific issue that is important to that group. Secondly, participants can meet and talk with the leader/host of the roundtable discussion – they are selected professionals with a vast knowledge and experience.

There will be roundtable sessions, hence every conference participants can take part in 2 discussions, one each day of the conference.

 

16.15 - 17.25

SIMULTANEOUS SESSIONS PART II

Data Engineering I

Data Engineering II

MLOps/ AI, ML and Data Science

Data Strategy and ROI

Data Engineering I

Casting the Spell: Druid in Practice

Keywords: #BigData #ApacheDruid #RealtimeAnalytics #DataArchitecture #DataEngineering

SVP R&D and GM Israel
Nielsen Identity
Principal Solutions Architect
Imply
Data Engineering II

BigFlow – A Python framework for data processing on the Google Cloud Platform

Keywords: #gcp #python #dataflow #dataproc #bigquery

Senior software engineer
Allegro
MLOps/ AI, ML and Data Science

Training and deploying machine learning models with Google Cloud Platform

Keywords: #mlops #gcp #python #nlp #computervision

Machine Learning Engineer
Sotrender
Data Strategy and ROI

How to plan the unpredictable? 7 good practices of organisation and management of fast-paced large-scale R&D projects

Keywords: #datascience #ai #machinelearning #agile #projectmanagement

Principal Data Scientist
Pearson
Senior Technical Project Manager
Pearson
Data Engineering I

Data lineage and observability with Marquez and OpenLineage

Keywords: #lineage #observability #dataops

CTO, Co-Founder
Datakin
Data Engineering II

Top 5 Spark anti-patterns that will bite you at scale!

Keywords: #java #bigdata #spark #hadoop

Software engineer, author, speaker and blogger
MLOps/ AI, ML and Data Science

Causal Mediation Analysis in the E-Commerce Industry

Keywords: #causalinference #A/Btests #informationretrieval #searchmetrics #evaluation

Senior Data Scientist
Causal Inference Research in Etsy Inc.
Data Strategy and ROI

Foundations of Data Teams

Keywords: #managment #data teams #data engineers #data scientists #operations

Data Engineer, Creative Engineer and Managing Director
Big Data Institute

17.25 - 17.30

SUMMARY

19.30 - 20.30

EVENING MEETING, INCLUDING PRIZE GIVEAWAY

February 26, 2021 -  Big Data Technology Warsaw Summit Day 2*

09.00 - 09.30

PLENARY SESSION

09.30 - 10.40

SIMULTANEOUS SESSIONS PART I

Data Engineering I

Streaming and Real-Time Analytics

Data Engineering II

AI, ML and Data Science

Data Engineering I

Presentation will be published soon

Streaming and Real-Time Analytics

Presentation will be published soon

Data Engineering II

Presentation will be published soon

AI, ML and Data Science

A/B experimentation in Atlassian for growth

Senior Data Scientist
Atlassian
Data Engineering I

Presentation will be published soon

Streaming and Real-Time Analytics

Streaming SQL - Be Like Water My Friend

Keywords: #streaming #streamingsql #flink #dataflow #flinksql

Expert Software Developer Analytics
InnoGames GmbH
Data Engineering II

Pragmatic approach to data quality at OLX

Keywords:#data #data-quality

Head of Data Services & Operations
OLX Group
AI, ML and Data Science

Make it personal: reinforcement learning for mere mortals

Keywords: #personalization #ecommerce #vowpalwabbit #reinforcementlearning #opensource

Lead Data Scientist
eBay Classifieds Group

10.40 - 11.50

SIMULTANEOUS SESSIONS PART II

Architecture Operarations & Cloud

Streaming and Real-Time Analytics

AI, ML and Data Science I

AI, ML and Data Science II

Architecture Operarations & Cloud

Presto: SQL-on-Anything & Anywhere 

Keywords: #presto #sql #analyticsanywhere #azure

Co-founder and CTO
Starburst
Co-founder & Senior Director of Engineering
Starburst
Streaming and Real-Time Analytics

Building a complex stream-processing app with Kafka Streams

Keywords: #data-streaming #kafkastreams #schemaregistry #domainevents #evolutionaryarchitecture

Staff data engineer
Simply Business
AI, ML and Data Science I

How to build a state-of-the-art weather forecasting AI service

AI Research Engineer
Peltarion
AI, ML and Data Science II

When HR meets Artificial Intelligence.

Keywords: #artificialintelligence #nlp #digitaltransformation #futureofwork #hcm

CTO
Talent Alpha
Architecture Operarations & Cloud

AWS Spot instances price prediction - towards cost optimization for Big Data

Keywords: #TCO #CloudComputing #ARIMA #AWS #Spot

Lead Solution Architect
Nowa Era
Chief Architect, Founder and CEO, Assistant Professor,
CogniTrek Corp, MAGIX.AI, Saints Cyril and Methodius University
Streaming and Real-Time Analytics

Evolving Bolt from batch jobs to real-time stream processing - migration, lessons learned, value unleashed

Keywords: #kafka #streaming #data #realtime

Data Architect
Bolt
AI, ML and Data Science I

How NoMagic robots improve thanks to software 2.0 improvement cycle supported by an in-house data engine?

Research Engineer
NoMagic
AI, ML and Data Science II

Lessons from building large-scale, real-time machine learning systems

Data Science Lead
Unity

12.00 - 12.55

ROUNDTABLE SESSIONS PART II

Parallel roundtables discussions are the part of the conference that engage all participants. It has few purposes. First of all, participants have the opportunity to exchange their opinions and experiences about specific issue that is important to that group. Secondly, participants can meet and talk with the leader/host of the roundtable discussion – they are selected professionals with a vast knowledge and experience.

There will be 2 rounds of discussion, hence every conference participants can take part in 2 discussions

 

12.55 - 13.45

PLENARY SESSION

13.45 - 13.55

CLOSING & SUMMARY, PRIZE GIVEAWAY

CEO & Meeting Designer
Evention

*Times may vary.

We have great set of presentation available in the CONTENT ZONE that would be available pre-recorded as Video on Demand for conference participants in advance:

Running Apache NiFi in the shadow of cloud-native applications

Keywords: #apachenifi #nifi #cloudnative #cloud #oss

Principal Software Engineer
Microsoft

Building Data Ingestion Platform using Hadoop

Keywords: #dataingestion #hadoop #nifi

Software Developer
ING

AWS Serverless Pipelines

How to use AWS managed services in near real-time data processing. Recommendations system design.

Keywords: #serverless #cloud #AWS #microservices #recommendedsystems

Team Leader
StepStone Services

Battle lessons for machine data in an Oil Refinery

Keywords: #OPC #timeseries #cloudopex #networksniffing #Excel

Industry 4.0 Expert
CEPSA
Founder & CEO
Datumize

CICD Pipeline and delivery of Apache Spark Applications on the cloud using AWS

Keywords: #Automation #CICD #HigherEd #Spark

Director, Cloud Data Engineering, Office of the Chancellor
California State University
CSU
Data Warehouse Development Lead.

Building scalable and testable data pipeline through a data pipeline domain specific language

Keywords: #DataEngineering #ComposableDataPipeline
#SOLIDPrincipleInDataPipelineDesign
#GHERKINandDataPipelineSpecification #BDDTDDinDataPipeline

Senior Engineering Manager
Independent speaker

Diftong: a tool for validating big data workflows

Keywords: #Dataworkflow #Dataquality #Datavalidation #Agiledatavalidationprocess #Datavalidationtool

Senior data engineer
Klarna Bank AB
Software engineer
Klarna Bank AB

Modern radars: from simple signal processing towards modern complex data analytics with deep learning

Keywords: #radars #deeplearning #bigdata #opensource

Lead Data Scientist
SGPR.TECH
Senior Data Scientist
SGPR.TECH

Telecom systems Degradation Prediction using ML

Keywords: #Telecom #Datascience #Operationsmanagement #ArtificialIntelligence #MLops

Senior Data Scientist
Ericsson India R&D

Predicting effectiveness of marketing campaigns on Facebook platform

Keywords: #WideandDeep #XAI #Explainability #Facebook #Marketing

Data Scientist
Sotrender
Data Scientist
Sotrender
Head of AI
Sotrender

Common mistakes that make your chart hard to understand with practical solutions to avoid them.

Keywords: #datavisualization #datadesign #dataliteracy #uidesign #graphicacy

Data Visualization Specialist
Freelancer

Top 10 Big Data Systems Pitfalls - war stories and lessons learned

Keywords: #BigDataWarStorries#DataAsAService#BigDataROI#LessonsLearned

CEO and Co-founder
Datumo

Managing Big Data projects in a constantly changing environment - good practices, use cases

Keywords: #agile #teammanagement #goodpractices #usecases

Senior IT Project Manager / Scrum Master
Get In Data
Business Executive
GetInData

Artificial Intelligence - Building in-house AI capabilities from scratch at Philip Morris International

Keywords: #AI #DL #AIBusiness #Innovation #Productivity #Disruption

IT Manager AI
Philip Morris International
IT Solution Architect AI
PMI

BIG DATA TECHNOLOGY
WARSAW SUMMIT 2021

February 25-26, 2021
Let's go virtual

ORGANIZER

Evention sp. z o.o
Rondo ONZ 1 Str,
Warsaw, Poland
www.evention.pl

CONTACT

Monika Ludwig
m: +48 790 401 605
e: monika.ludwig@evention.pl

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