InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Big Data Information Architecture for AI
Toby Woolfe discusses case studies (Watson Willow, the L’Oreal factory and Iplexia demo) to show a factory line manager talking to Watson.
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Monitoring and Tracing @Netflix Streaming Data Infrastructure
Allen Wang talks about the design and implementation details of the dev/ops tools used by Netflix and highlights the critical roles they play in operating their data infrastructure.
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From Spark to Elasticsearch and Back - Learning Large-Scale Models for Content Recommendation
Sonya Liberman shares an algorithmic architecture that enables running complex models under difficult scale constraints and shortens the cycle between research and production.
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ML/AI Panel
The panelists discuss what makes ML different from other types of applications and why it requires special tooling.
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Swift for Tensorflow
Paige Bailey demonstrates how Swift for TensorFlow can make advanced machine learning research easier and faster.
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Computational Propaganda - How Algorithms Influence our Decisions
Pawel Rzeszucinski discusses the Cambridge Analytica case, Brexit and the use of bots for influencing people’s decisions.
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How AI Is Transforming Test Automation
Daniel Gold reviews concepts in AI and ML, how it is related to testing and what is the vision for AI in testing, how they used AI to process the DOM, and the technical challenges encountered.
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Spring Data JPA from 0-100 in 60 Minutes
Jens Schauder looks into how Spring Data JPA works and how it integrates with Spring by means of Spring Data JPA.
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Kafka Needs No Keeper
Colin McCabe talks about the ongoing effort to replace the use of Zookeeper in Kafka: why they want to do it and how it will work.
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How Can Artificial Intelligence Use Big Data for Translating Documents?
John Ortega shows how documents, known as corpora, filled with information from various sources can be used to provide artificial intelligence to a translation system.
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Data Mesh Paradigm Shift in Data Platform Architecture
Zhamak Dehghani introduces Data Mesh, the next generation data platform, that shifts to a paradigm drawing from modern distributed architecture.
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Reactive Relational Database Connectivity with Spring
Mark Paluch explains R2DBC, how the API works, and the benefits for application developers who aim for functional reactive access with Spring Data R2DBC.
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