InfoQ Homepage Presentations
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Build Node.js APIs Using Serverless
Simona Cotin talks about how to migrate an API of an existing app to Azure Functions, and how to use Visual Studio Code and the Azure Functions extension to speed up work.
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Why Should We Care about Technology Ethics?
Catherine Flick looks at the newly updated ACM Code of Ethics and talks about the ways to think about our job through a lens of ethics & responsibility, and what we can do to deal with ethical issues.
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An Engineer's Guide to a Good Night's Sleep
Nicky Wrightson gives some practical insight into how to handle failure in today's more complex distributed microservice systems.
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Crossing the River by Feeling the Stones
Simon Wardley examines the issue of situational awareness, explains how it applies to technology. He explores how we can map our environment, identify opportunities to exploit, learn to play the game.
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Improving Developer Productivity with Visual Studio Intellisense
Allison Buchholtz-Au and Shengyu Fu discuss how PM, engineering, and data science came together to build Visual Studio IntelliCode, which delivers context-aware code completion suggestions.
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On a Deep Journey towards Five Nines
Aashish Sheshadri discusses how PayPal applies Seq2Seq networks to forecasting CPU and memory metrics at scale.
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Document Digitization: Rethinking OCR with Machine Learning
Nischal Harohalli Padmanabha outlines the problems faced building DL networks for document process at omni:us, limitations, the evolution of team structures, engineering practices, and other topics.
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Comparing Machine Learning Strategies Using Scikit-Learn and TensorFlow
Oliver Zeigermann looks at different ML strategies -KNN, Decision Trees, Support Vector Machines, and Neural Networks- and visualizes how they make predictions by plotting their decision boundaries.
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Mythbusting: Every Project Needs to be Automated
Alexandra Nagy discusses if projects need to be automated or not.
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Verifying a Distributed System with Combinatorial Topology
Veronica Lopez shares her experience with containers and Kubernetes, including flexible autoscaling and refined testing & delivery experiences, that make sense within an Elixir environment.
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Code Your Way out of a Paper Bag
Frances Buontempo discusses how to program your way out of the paper bag using machine learning techniques.
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How to Create a Data Science Product from Scratch?
Dmytro Bilash discusses the top five biggest challenges in creating a data science product, compares a product for one client and a scalable one for the whole market, and how to be successful.
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