InfoQ Homepage Presentations
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Remote-First Team Interactions for Business and Technology Teams
Manuel Pais discusses approaches to clarify and evolve inter-team interactions and communication in a remote-first world.
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Modelling Side Effects via Extensible Effects and Property Testing
William Heslam describes a technique to model a JavaScript's side-effecting dependencies by combining two separate but complementary ideas: Extensible Effects and Property Testing.
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Concurrency in Go
Dom Davis looks at how Go handles concurrency, and how goroutines and channels can be utilized to create complex concurrent patterns.
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The Good, the Bad, the Ugly: Making Teams Perform Better
Victoria Puscas talks about how a team of engineers and data scientists worked together for a year and became high performing by embracing change, improving practices, overcoming challenges together.
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BERT for Sentiment Analysis on Sustainability Reporting
Susanne Groothuis discusses how KPMG created a custom sentiment analysis model capable of detecting subtleties, and provides them with a metric indicating the balance of a report.
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Rampant Pragmatism: Growth and Change at Starling Bank
Daniel Osborne and Martin Dow discuss relational theory, functional relational programming and self-contained systems, explaining their approach to complexity.
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Managing for Serendipity
Liz Keogh looks at how innovation often happens through unexpected side-effects, and some different strategies for approaching complex ecosystems, allowing new ideas to emerge.
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Operating Pivotal Application Service at Scale
Yusuke Kondo and Akinori Nitta explain the challenges faced and solutions experienced to run and manage a large-scale platform.
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Managing Systems in an Age of Dynamic Complexity
Laura Nolan looks at the common architectural shapes of dynamic control planes, and some examples of how they fail. Why are dynamic control planes so hard to run, and what can be done about it?
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Tiny Go: Small Is Going Big
Ron Evans talks about TinyGo - a compiler for Go, written in Go itself, that uses LLVM to achieve very small, fast, and concurrent binaries that can also target devices where Go could never go before.
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Applying Machine Learning to Financial Payments
Tamsin Crossland discusses how ML can be applied to Payments to respond rapidly to known and emerging patterns of fraud, and to detect patterns of fraud that may not otherwise be identified.
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The What, the Why and Some How of Wardley Mapping - a Conversation with Simon Wardley
Simon Wardley and Shane Hastie discuss what Wardley Mapping is, where the ideas came from, and how they can be applied in real-life situations.
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