BIG DATA CONFERENCE EUROPE 2020 ONLINE: Learn more about online attendance here




November 24-26


Confirmed Talks

Audrey Lobo-Pulo

Founding Director of Phoensight

Australia, Phoensight

In the Shallow with AI

In this session we’ll briefly look at:
* The role of objective and subjective data, and how these influence data-driven insights;
* ‘Trans-contextual’ information and the implications for AI; 

Session Keywords
🔑 AI
🔑 AI ethics
🔑 Human-in-the-loop
🔑 socio-technology

Mohammad Shokoohi-Yekta

Senior Data & Applied Scientist

USA, Microsoft

Hottest Trends of Deep Learning

In this talk we will discuss some of the latest advancements and real world applications of deep learning. At the end we will talk about the challenges and future opportunities in the field.

Session Keywords
🔑 Deep Learning
🔑 AI

Verdan Mahmood

Senior Software Engineer

The Netherlands, ING Bank

Towards Enterprise-Grade Data Discovery at ING with Apache Atlas and Amundsen

In the presentation Verdan will share our experience from designing and implementing a data discovery product powered by open-source technologies such as Apache Atlas and Amundsen (initially created by Lyft, and then moved to Linux Foundation).

Session Keywords
🔑 Data Discovery
🔑 Metadata Governance
🔑 Atlas
🔑 Amundsen

Abhishek Malik

Data Scientist

Germany, Hawk:AI 

Exoplanet Detection Using Machine Learning

Speaker will introduce a new machine learning based technique to detect exoplanets using the transit method. Machine learning and deep learning techniques have proven to be broadly applicable in various scientific research areas. He aims to exploit some of these methods to improve the conventional algorithm based approach used in astrophysics today to detect exoplanets.

Session Keywords
🔑 AI
🔑 Time Series
🔑 Planet Detection

Alex Sanginov

Data Monetization Evangelist

USA, ServiceNow

5 Pillars of User-Centric Analytics

Join the session to learn more and how to apply the successful analytics strategy to your own organization(s).

Session Keywords
🔑 Analytics Strategy
🔑 Analytics Workflows
🔑 AI

Bas Geerdink

Programmer, Scientist, and IT Manager

The Netherlands, Aizonic

Streaming Processing – an Overview of the Concepts, Architecture and Technology of Doing Data Science on Real-Time Data

In this talk, Bas will present an architecture for streaming analytics solutions that covers many use cases that follow this pattern: actionable insights, fraud detection, log parsing, traffic analysis, factory data, the IoT, and others.

Session Keywords
🔑 Streaming
🔑 AI

Cristian Randieri

Founder & CEO

Italy, Intellisystem Technologies

Covid-19: Big Data Analytics and Artificial Intelligence

With the COVID-19 pandemic spreading across the globe, it’s becoming clear that few can avoid its reach, posing severe challenges to health services and having a range of related social and economic impacts.
This session will focus on the response to COVID-19 data analytics.

Session Keywords
🔑 Analytics
🔑 AI
🔑 Coronavirus

Mario A Vinasco

Director BI and Analytics

USA, Credit Sesame

The Intuition Behind the Use of M.L. in Marketing Analytics

This talk presents the key insights that make AI/ML useful for marketing and demystifies the core technology and illustrates case studies where my team applied the technology.

Session Keywords
🔑 ML
🔑 Marketing Analytics
🔑 Targeting

Tim Frey


Germany,  iunera GmbH & Co. KG 

Stopping Public Transport Coronavirus Infections with Big Data

 We discuss how Big Data, analytics and forecasting help to limit infections. We give insights of our journey from idea development to the actual situation and share our learnings.

Session Keywords
🔑 Forecasting
🔑 Coronavirus
🔑 Public Transport

Tomer Levi

Senior Data Engineer on the DataOps Team

Israel, Fundbox

Orchestrating Data Workflows Using a Fully Serverless Architecture

Tomer Levi explains how the data engineering team at Fundbox uses AWS StepFunctions, Docker containers, and Spark to build a live serverless data orchestration platform, focusing on their decision to build a user-freindly yet powerful and scalable solution.

Session Keywords
🔑 Serverless
🔑 Docker
🔑 Spark
🔑 Fintech

Pasha Finkelshteyn

Software Engineer

Russia, JetBrains

Kotlin for Apache Spark: Love to Frankenstein’s Monster

In this session Pasha would like to tell the story of creation of Kotlin for Apache Spark library. Root of idea, some details of Apache Spark implementation and so on.

Session Keywords
🔑 Data Engineering
🔑 Kotlin
🔑 Spark