InfoQ Homepage Case Study Content on InfoQ
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Debuggable Deep Learning
Mantas Matelis, Avesh Singh explain how they debugged DeepHeart, a DNN that detects cardiovascular disease from heart rate data.
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The Evolution of Spotify Home Architecture
Emily Samuels, Anil Muppalla discuss the evolution of Spotify's architecture that serves recommendations (playlist, albums, etc) on the Home Tab.
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Petastorm: A Light-Weight Approach to Building ML Pipelines
Yevgeni Litvin describes how Petastorm facilitates tighter integration between Big Data and Deep Learning worlds, simplifies data management and data pipelines, and speeds up model experimentation.
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Orchestrating Robot Swarms with Java
Matthew Cornford focuses on Ocado’s latest generation of highly automated warehouses and looks into Java’s role for orchestrating huge swarms of robots for superior efficiencies of scale.
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Applying Deep Learning to Airbnb Search
Malay Haldar discusses the work done in applying neural networks at Airbnb to improve the search beyond the results obtained with ML.
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Agile around The World
David Spinks and Glaudia Califano discuss cultural differences and share case studies and their observations of Agile adoption on several continents.
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Open Banking - Tales from the Frontier
Anca Zaharia and Jason Maude focus on the successes and pitfalls Starling Bank encountered in building Open Banking. Topics covered: the OAuth security flow, the permissions-controlled API, and more.
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Powering Flexible Payments in the Cloud with Kubernetes
Ana Calin covers the technical and security challenges Paybase faced and the lessons they learned as they built their cloud-native microservices architecture and integrated with traditional systems.
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Change Is the Only Constant
Stuart Davidson talks about real-world examples from Skyscanner where he thinks the decisions they've made have helped them deal with change and which might be interesting to a technical audience.
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Corda: Looking Forward and Back, Blockchain on a JVM Stack
Carolyne Quinn and Mike Ward discuss Corda, an open source enterprise blockchain, and look at technologies used: Kotlin, JVMs, pluggable consensus, Corda Foundation and SGX,.
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Michelangelo Palette: A Feature Engineering Platform at Uber
Amit Nene and Eric Chen discuss the infrastructure built by Uber for Michelangelo ML Platform that enables a general approach to Feature Engineering across diverse data systems.
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The (R)evolution of a Portfolio Wall
Anna Miedzianowska and William Peck discuss the evolution of the Portfolio Wall at Ocado, lessons learned and mistakes to avoid.
