InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Machine Learning through Streaming at Lyft
Sherin Thomas talks about the challenges of building and scaling a fully managed, self-service platform for stream processing using Flink, best practices, and common pitfalls.
/presentations/ml-streaming-lyft/en/mediumimage/Shebig-1590076889402.JPG)
-
Probabilistic Programming for Software Engineers
Michael Tingley provides a preview of how Facebook is advancing probabilistic programming, as well as some of the big problems they used it to solve.
/presentations/facebook-ppl/en/mediumimage/Micbig-1589359842416.JPG)
-
Anti-Entropy Using CRDTs on HA Datastores @Netflix
Sailesh Mukil briefly introduces Dynomite, offers a deep dive on how anti-entropy is implemented and talks about the underlying principles of CRDTs that make this possible.
/presentations/netflix-crdt-entropy/en/mediumimage/Saibig-1589359425077.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)
-
From Batch to Streaming to Both
Herman Schaaf talks about Skyscanner’s journey to implement their data platform to stream and store millions of events per second.
/presentations/skyscanner-streaming/en/mediumimage/Herbig-1589190243234.JPG)
-
Kafka: A Modern Distributed System
Tim Berglund covers Kafka's distributed system fundamentals: the role of the Controller, the mechanics of leader election, and the role of Zookeeper today and in the future.
/presentations/kafka-controller-zookeeper/en/mediumimage/Timbig-1588674373241.JPG)
-
We Also Can Do It! Machine Learning in Javascript!
Eliran Eliassy shows how to create a prediction model with a web application using TensorFlow.js and other deep learning tools that can run in the browser.
/presentations/ml-tensorflowjs/en/mediumimage/Elibig-1588604795293.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)
-
Machine Learning on Mobile and Edge Devices with TensorFlow Lite
Daniel Situnayake talks about how developers can use TensorFlow Lite to build machine learning applications that run entirely on-device.
/presentations/tensorflow-lite/en/mediumimage/Danbig-1588077422904.JPG)
-
Privacy Architecture for Data-Driven Innovation
Nishant Bhajaria discusses how to set up a privacy program and shares tips on how to influence engineering and other teams to own their data and its usage so that privacy is a shared goal.
/presentations/technical-privacy-design/en/mediumimage/Nishant-Bhajaria-m-1588253890405.jpg)
-
Real-Time Live Soccer Score Streaming Application Demo with Reactive Spring Stack
Erdem Gunay demos an application built on Reactive Spring, showing how to persist and query data from Redis, and how to stream live score events in real-time using Kafka.
/presentations/score-app-spring-react/en/mediumimage/Erbig-1587380446352.JPG)
-
Spring Data to Spring Cloud to Spring Security: How Azure Supercharges Spring Boot
Richard Seroter, Asir Selvasingh and Vaibhav Agrawal demo an application that features Spring Security for Azure AD, Spring Cosmos DB, Spring Stream Binder for Event Hubs, Azure Monitor, and others.
/presentations/spring-data-azure/en/mediumimage/Ricbig-1586123938386.jpg)