InfoQ Homepage Case Study Content on InfoQ
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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.
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Habito: The Purely Functional Mortgage Broker
Will Jones talks about Haskell at Habito, some of the wins and trade-offs. He also talks about why functional programming is beneficial for large projects, and with migrating a data store.
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Massive Scale Anomaly Detection Framework
Guy Gerson introduces an anomaly detection framework PayPal uses, focusing on flexibility to support different types of statistical and ML models, and inspired by scikit-learn and Spark MLlib.
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Scaling for the Known Unknown
Suhail Patel explains how Monzo prepared for the recent crowdfunding which saw more than 9,000 people investing in the first 5 minutes and covers Monzo's microservice architecture (on Go & Kubernetes)
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Docker Data Science Pipeline
Lennard Cornelis explains why they chose OpenShift and Docker to connect to the Hadoop environment, also how to set up a Docker container running a data science model using Hive, Python, and Spark.
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