InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Gaining Control with the Web Animations API
Dan Wilson discusses Web Animations API, how it came to be, what are its benefits like timelines, controls, and its dynamic nature in addition to detailing what is available today and coming soon.
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Pivotal Cloud Foundry, Google Machine Learning, and Spring
Brian Gregory, Brian Jimerson introduce the GCP Service Broker on Pivotal Cloud Foundry and the Google Cloud Machine Learning APIs demonstrating a Spring application using the Machine Learning APIs.
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Rethinking Deep Learning: Neural Compute Stick
Darren Crews talks about the The Movidius Neural Compute Stick (NCS) - a tiny fanless deep learning device that one can use to learn AI programming at the edge.
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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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