SCHEDULE

Workshops (November 24)

Time: 10:00 – 17:30 (GMT+2)

9:00 – 10:00 Registration
10:00 Start of the workshop
11:30 – 11:40 Break
13:00 – 14:00 Lunch
15:20 – 15:30 Break
17:00 End of the workshop

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Stream Processing Essentials

Nicolas Fränkel & Vladimir Schreiner

Hazelcast

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Building a Data Catalog

Mandy Chessell

ODPi TSC & ODPi Egeria & IBM, UK

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Google Cloud Platform: First Steps

David Regalado

Avantica

1st Conference Day (November 25)

Time	Track 1	Track 2	Track 3	Track 4
08:00 - 09:00 (GMT+2)	Registration
09:00 - 10:00 (GMT+2)	OPENING KEYNOTE: Growth Reinvented - Turn Your Data and AI into Money Mika Ruokonen Futurice Slides
10:05 - 10:50 (GMT+2)	Streaming Processing - an Overview of the Concepts, Architecture and Technology of Doing Data Science on Real-Time Data Bas Geerdink Aizonic Track 1	Analyzing Public Data About User Queries on Search Engine to Predict Trends and Evaluate Markets Paolo Dello Vicario ByTek Slides Track 2	Redis: a Multi-Model DB for IoT and Beyond Dr. Christoph Zimmermann Redis Labs Slides Track 3	Covid-19: Big Data Analytics and Artificial Intelligence Cristian Randieri Intellisystem Technologies Track 4
10:50 - 11:05 (GMT+2)	Morning Break
11:05 - 11:50 (GMT+2)	Processing Billions of Events a Day Using Kafka and Kafka Streams Carlos Manuel Duclos-Vergara Schibsted Track 1	Designing and Building Data Science Solutions Jonathan Leslie Neri Van Otten Pivigo; Spot Intelligence Slides Track 2	TBA	Data Governance From an Engineering Perspective Valdas Maksimavicius Cognizant Track 4
11:55 - 12:40 (GMT+2)	Real-Time Stream Processing for Insurance & Health Care With Kafka, Kafka Streams and Multi-Runtime Microservices Cristian Prevedello PREVINET Slides Track 1	Exoplanet Detection using Machine Learning Abhishek Malik Hawk:AI Track 2	Data Versioning - What Does it Mean? Einat Orr Treeverse Track 3	The GDPR Challenges to Big Data, and How to Overcome Them Silvan Jongerius TechGDPR Track 4
12:40 - 13:40 (GMT+2)	Virtual Café: Preparing Data for Analytics Sonal Goyal Virtual Cafés	Lunch Break
13:40 - 14:25 (GMT+2)	Real-Time Streaming with Python ML Inference Marko Topolnik Hazelcast Slides Track 1	Advanced Analytics in the Industry Antía Fernández GRADIANT Track 2	An Experiment in Continuous Deployment of JVM applications Nicolas Fränkel Hazelcast Track 4	Adding AI Cloud Services to Your On-Prem Data Workflows for NLP & Content Enrichment Daniel Wrigley SHI GmbH Slides Track 4
14:30 - 15:15 (GMT+2)	Introduction to FLaNK Stack Timothy J Spann Cloudera Slides Track 1	5 Pillars of User-Centric Analytics Alex Sanginov ServiceNow Track 2	Azure Synapse Analytics Overview James Serra Microsoft Slides Track 3	Big Data Architecture in the Advertising Industry Marçal Serrate Hybrid Theory Track 4
15:15 - 15:30 (GMT+2)	Afternoon Break
15:30 - 16:15 (GMT+2)	CLOSING KEYNOTE: Making Data Downtime a Pillar of Your Data Strategy Barr Moses Monte Carlo

2nd Conference Day (November 26)

Time	Track 1	Track 2	Track 3	Track 4
08:00 - 09:00 (GMT+2)	Registration
09:00 - 10:00 (GMT+2)	OPENING KEYNOTE: Introduction to Data Streaming Nicolas Fränkel Hazelcast
10:05 - 10:50 (GMT+2)	Kafka as a Platform: the Ecosystem from the Ground Up Robin Moffatt Confluent Track 1	From Internet Access Devices Usage to Behavioural Model Tomasz Bąk Digital Fingerprints Slides Track 2	Supercharge your Data Analytics with BigQuery ML Marton Kodok REEA Track 3	Stopping Public Transport Coronavirus Infections with Big Data Tim Frey iunera GmbH & Co. KG Slides Track 4
10:50 - 11:05 (GMT+2)	Morning Break
11:05 - 11:50 (GMT+2)	Towards Enterprise-Grade Data Discovery at ING with Apache Atlas and Amundsen Verdan Mahmood ING Bank Track 1	Data Science Case Studies and Formulation of AI Roadmap Kane Wu ThinkCol Track 2	Interactive BI Analytics with Presto Łukasz Osipiuk Karol Sobczak Starburstdata Slides Track 3	The application of Machine Learning to the Modelling of Time-Series of Atmospheric Pollution Data Cristian Randieri Intellisystem Technologies Track 4
11:55 - 12:40 (GMT+2)	Kotlin for Apache Spark: Love to Frankenstein's Monster Pasha Finkelshteyn JetBrains Track 1	From the Earth to the Moon: Lessons from the Space Race to Apply in Machine Learning Projects Diego Hueltes RavenPack Slides Track 2	Scalable ML Pipelines for Enterprise Data Mastering Sonal Goyal Nube Technologies Slides Track 3	From Zero to Hero with Kafka Connect Robin Moffatt Confluent Track 4
12:40 - 13:40 (GMT+2)	Virtual Café: Ad-Hoc Analytics Pasha Finkelshteyn Virtual Cafés	Lunch Break
13:40 - 14:25 (GMT+2)	Orchestrating Data Workflows Using a Fully Serverless Architecture Tomer Levi Fundbox Track 1	In the Shallow with AI Audrey Lobo-Pulo Phoensight Track 2	Graph Processing for Open Metadata and Governance Mandy Chessell ODPi TSC & ODPi Egeria & IBM Slides Track 3	Trust and Quality in the Era of Software 2.0 Yiannis Kanellopoulos Code4Thought Slides Track 4
14:30 - 15:15 (GMT+2)	Best Practices for Building Streaming Data Architectures Ricardo Ferreira Elastic Slides Track 1	A Recipe for Innovation: Recommending Recipes Based on Adventurousness Kim Nilsson & Robert Grieg-Gran Pivigo Track 2	The Intuition Behind the Use of M.L. in Marketing Analytics Mario A Vinasco Credit Sesame Track 3	Fixing the Problems with Face Recognition Using Modern Cryptography Flows Nezare Chafni Trueface Track 4
15:15 - 15:30 (GMT+2)	Afternoon Break
15:30 - 16:15 (GMT+2)	CLOSING KEYNOTE: LF AI and Data - the Home for Open Source AI, BU, DL, ML, and Data Management John Mertic Linux Foundation Slides

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