InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Understanding Software System Behavior with ML and Time Series Data
David Andrzejewski discusses how time series datasets can be combined with ML techniques in order to aid in the understanding of system behaviors in order to improve performance and uptime.
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Analyzing & Preventing Unconscious Bias in Machine Learning
Rachel Thomas keynotes on three case studies, attempting to diagnose bias, identify some sources, and discusses what it takes to avoid it.
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Building a Culture of Continuous Improvement
Kevin Goldsmith shows what Avvo has done to build a foundation for a continuous improvement culture.
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Observable JS Apps
Emily Nakashima talks about an event-driven approach to client-side observability for the most complicated parts of Honeycomb's customer-facing React app: the query builder.
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WebAssembly (And the Death of JavaScript?)
Colin Eberhardt looks at what's wrong with the way people are using JavaScript today and why they need WebAssembly.
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Reinventing npmjs.com
Katie Fenn talks about the process of architecting the new npmjs.com website, and examines how the changing landscape of development tooling has shaped it throughout its lifetime.
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Models in Minutes not Months: AI as Microservices
Sarah Aerni talks about how Salesforce built an AI platform that scales to thousands of customers.
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Understanding ML/DL Models using Interactive Visualization Techniques
Chakri Cherukuri discusses how to use visualization techniques to better understand machine learning and deep learning models.
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Interpretable Machine Learning Products
Mike Lee Williams discusses how interpretability can make deep neural networks models easier to understand, and describes LIME, an OS tool that can be used to explore what ML classifiers are doing.
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Insecure Transit - Microservice Security
Sam Newman outlines some of the key challenges associated with microservice architectures with respect to security, and then looks at approaches to address these issues.
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Machine Intelligence at Google Scale
Guillaume LaForge presents pre-trained ML services such as Cloud Vision API and Speech API that works without any training, introducing Cloud AutoML.
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Fuelling the AI Revolution with Gaming
Alison Lowndes talks about the HW & SW that comprise NVIDIA's GPU computing platform for AI, across PC to data center, cloud to edge, training to inference.
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