InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Real-Time Data Activation - Analytics, Intelligence & Decision Making
Marcelo Wiermann discusses dealing with real-time analytics with the Lambda Architecture, creating a working data set and data-driven features in an application.
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Kafka Streams - from the Ground Up to the Cloud
Marius Bogoevici introduces the Kafka Streams API and the Kafka Streams processing engine, showing how to write and deploy Kafka Streams applications using Spring Cloud Stream.
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Data Decisions with Real-Time Stream Processing
Serhat Yilmaz talks about how Facebook is using stream processing at scale, the difficulties they have encountered and the solutions they have created to date.
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$200 Self-Driving Cars with RasPi and Tensorflow
William Roscoe and Adam Conway build and drive the $200 open source self driving Donkey Car and talk about about the hardware components & software that let it drive, capture data, create autopilots.
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Serverless & GraphQL
Jared Short dives into why, how, and when to pair Serverless & GraphQL, with takeaways for implementing the first greenfield Serverless GraphQL API or migrating existing APIs.
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Streaming SQL Foundations: Why I ❤Streams+Tables
Tyler Akidau explores the relationship between the Beam Model and stream & table theory, stream processing in SQL with Apache Beam, Calcite, Flink, Kafka KSQL and Apache Spark’s Structured streaming.
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The Power of Distributed Snapshots in Apache Flink
Stephan Ewen talks about how Apache Flink handles stateful stream processing and how to manage distributed stream processing & data driven applications efficiently with Flink's checkpoints&savepoints.
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Designing Visualizations for Action
Chris Varosy discusses strategies for designing data visualizations and dashboards that bring the insight users need to make decisions.
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Adding AI Smarts with Cognitive Services
Stephen Bohlen discusses Microsoft’s Cognitive Services, how to use them, exploring services for Facial Recognition, object detection, NLP, as well as Topic Extraction and Sentiment Analysis.
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Data Consistency in Microservice Using Sagas
Chris Richardson discusses messaging, durability, and reliability in microservice architectures leveraging the Saga Pattern, explaining how sagas work and introduces a saga framework for Java.
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Automating Netflix ML Pipelines with Meson
Davis Shepherd and Eugen Cepoi discuss the evolution of ML automation at Netflix and how that lead them to build Meson, challenges faced and lessons learned automating thousands of ML pipelines.
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Preparing Humans for the Second Machine Age
Dominic Price prepares his listeners for the world of 2020, the role that AI, automation and robots will have, and what people should do to stay human and build an environment where they thrive.
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