BIG DATA CONFERENCE
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;
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.
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).
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.
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).
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.
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.
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.
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.
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.
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.