InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Cloud-Native Data: What Is it? Will it Solve the Data-DevOps Divide?
The panelists debate whether data's answer to cloud-native will mirror DevOps or not.
/presentations/panel-data-cloud-native-devops/en/mediumimage/Panbig-1526225849930.jpg)
-
Counterfactual Evaluation of Machine Learning Models
Michael Manapat discusses how Stripe evaluates and trains their machine learning models to fight fraud.
/presentations/stripe-ml-models-fraud/en/mediumimage/counterfactual-evaluation-of-ml-models-ribbon-1530266399254.jpg)
-
Machine Learning Pipeline for Real-Time Forecasting @Uber Marketplace
Chong Sun and Danny Yuan discuss how Uber is using ML to improve their forecasting models, the architecture of their ML platform, and lessons learned running it in production.
/presentations/uber-ml-architecture-models/en/mediumimage/DOibig-1526083170758.JPG)
-
Using Artificial Intelligence to Test the Candy Crush Saga Game
Alexander Andelkovic shows how King is training artificial intelligence bots to test its games by mimicking human interactions.
/presentations/candy-crush-ai-test/en/mediumimage/Alexbig-1525650028517.JPG)
-
Streaming Reactive Systems & Data Pipes w. Squbs
Anil Gursel and Akara Sucharitakul focus on modeling and building software that considers all input and all output as stream of events, and introducing Squbs.
/presentations/squbs/en/mediumimage/12big-1525537252924.jpg)
-
Streaming SQL Foundations: Why I ❤ Streams+Tables
Tyler Akidau explores the relationship between the Beam Model and stream & table theory and explains what is required to provide robust stream processing support in SQL.
/presentations/sql-streaming/en/mediumimage/Tybig-1525536964170.JPG)
-
Next Steps in Stateful Streaming with Apache Flink
Stephan Ewan talks about how Apache Flink is making stateful stream processing even more expressive and flexible to support applications in streaming that were previously not considered streamable.
/presentations/flink-stateful-streaming/en/mediumimage/Stebig-1525305348092.JPG)
-
Drivetribe: A Social Network on Streams
Aris Koliopoulos talks about how common problems in social media can be resolved with a healthy mix of stream processing and functional programming.
/presentations/drivetribe/en/mediumimage/Aribig-1525304489229.JPG)
-
Delivering the Power of Data Using Spring Cloud Data Flow and DataStax Enterprise Cassandra NoSQL Database
Gilbert Lau and Wayne Lund talk about using SCDF on PCF for microservice scaling and pipelining data into Cassandra.
/presentations/spring-dataflow-cassandra/en/mediumimage/Gilbig-1524971001138.JPG)
-
TensorFlow: Pushing the ML Boundaries
Magnus Hyttsten talks about how Google uses Machine Learning to address problems that were not solvable a year ago, looking at models and how they can be built.
/presentations/tensorflow-ml/en/mediumimage/Magbig-1524703357979.JPG)
-
AI & Security: Lessons and Challenges
Dawn Song presents results in the area of secure deep learning and how DL systems could be fooled and what can be done, how AI and DL can enable better security, and how security can enable better AI.
/presentations/ai-security-challenges/en/mediumimage/Dabig-1524703097261.JPG)
-
SpringOne 2017 Keynote 1
Join the Pivotal team and their customers for an update on the Spring ecosystem, including the release of Spring Boot 2.0.
/presentations/springone-2017-keynote-1/en/mediumimage/Panbig-1523848722214.JPG)