InfoQ Homepage Big Data Conference Europe 2019 Content on InfoQ
-
Everything You Wanted to Know about Apache Kafka But Were Too Afraid to Ask!
Ricardo Ferreira explains what a streaming platform such as Apache Kafka is and some of the use cases and design patterns around its use.
/presentations/streaming-platform-kafka/en/mediumimage/Ricbig-1594572536079.JPG)
-
Predicting Cryptocurrency Exchange Rates with Stream Processing, Social Data and Online Learning
Tim Frey discusses how iunera used social data from Twitter in machine learning to predict crypto currency exchange rates.
/presentations/iunera-ml-twitter-cryptocurrency-rates/en/mediumimage/Timbig-1592915710645.JPG)
-
Building a Scalable Data Science & Machine Learning Cloud Using Kubernetes
Murali Paluru discusses how to leverage Kubernetes within a team using the architecture shared, and some of the common mistakes and pitfalls to avoid.
/presentations/leveraging-kubernetes-arch/en/mediumimage/Murbig-1591708518253.JPG)
-
Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems
Michael Shtelma discusses methods and libraries for training models on a dataset that does not fit into memory or maybe even on the disk using multiple GPUs or even nodes.
/presentations/train-large-models/en/mediumimage/Micbig-1590503376615.JPG)
-
The Joy of Designing Deep Neural Networks
Bradley Arsenault shares the joy he felt the first time he designed a deep neural network, and how simple intuitions on neural networks have led to greater designs and accuracy.
/presentations/joy-design-dnn/en/mediumimage/Brabig1-1589274889128.JPG)
-
You Can AI Like an Expert
Jon McLoone shows that symbolic representation also helps in automating the transition from research experiments to the production deployment of AI services.
/presentations/wolfram-ai/en/mediumimage/Jon-McLoone-m-1588274602945.jpg)
-
Real-Time Data Streaming with Azure Stream Analytics
Alexander Slotte introduces Azure Stream Analytics, its ecosystem, and real world examples streaming Twitter feeds as well as sensor data from Raspberry Pi.
/presentations/azure-stream-analytics-raspberry-pi/en/mediumimage/Alexbig-1585779348893.JPG)
-
Big Data Legal Issues. GDPR and Contracts
Anton Tarasiuk discusses the legal issues that can be encountered when dealing with Big Data, GDPR and contracts.
/presentations/law-big-data-gdpr/en/mediumimage/Antbig-1585331671197.JPG)
-
Big Data Information Architecture for AI
Toby Woolfe discusses case studies (Watson Willow, the L’Oreal factory and Iplexia demo) to show a factory line manager talking to Watson.
/presentations/watson-case-study/en/mediumimage/Tobbig-1584923822433.JPG)
-
From Spark to Elasticsearch and Back - Learning Large-Scale Models for Content Recommendation
Sonya Liberman shares an algorithmic architecture that enables running complex models under difficult scale constraints and shortens the cycle between research and production.
/presentations/content-recommendation-model/en/mediumimage/Sonbig-1584280027769.JPG)
-
Computational Propaganda - How Algorithms Influence our Decisions
Pawel Rzeszucinski discusses the Cambridge Analytica case, Brexit and the use of bots for influencing people’s decisions.
/presentations/social-networks-algorithms/en/mediumimage/Pawbig-1583506356712.JPG)
-
How Can Artificial Intelligence Use Big Data for Translating Documents?
John Ortega shows how documents, known as corpora, filled with information from various sources can be used to provide artificial intelligence to a translation system.
/presentations/ai-translation-docs/en/mediumimage/Jobig-1582932925071.JPG)