InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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.
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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.
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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.
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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.
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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.
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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.
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Real-Time Decisions Using ML on the Google Cloud Platform
Przemyslaw Pastuszka and Carlos Garcia present how Big Data is handled in Google Cloud Platform to build an end-to-end machine learning pipeline.
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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
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Apache Geode Test Automation and Continuous Integration & Deployment (CI-CD)
Jeff Cherng and Anupama Pradhan discuss how to use Spring Boot, Ansible, and Concourse for Apache Geode application development, mock/integration tests, and no downtime CI-CD pipeline.
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Artificial Intelligence and Machine Learning for the SWE
Rob Harrop describes both his own journey from traditional Software Engineer to AI/ML Engineer, and his experience building a development team with ML at the heart.
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What's New in Spring for Apache Kafka 2.0
Gary Russell discusses Spring's support for Kafka including better threading and a new consumer-aware listener.
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