InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Unraveling Techno-Solutionism: How I Fell out of Love with “Ethical” Machine Learning
Katharine Jarmul confronts techno-solutionism, exploring ethical machine learning, which eventually led her to specialize in data privacy.
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Operationalizing Responsible AI in Practice
Mehrnoosh Sameki discusses approaches to responsible AI and demonstrates how open source and cloud integrated ML help data scientists and developers to understand and improve ML models better.
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Orchestrating Hybrid Workflows with Apache Airflow
Ricardo Sueiras discusses how to leverage Apache Airflow to orchestrate a workflow using data sources inside and outside the cloud.
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Open Machine Learning: ML Trends in Open Science and Open Source
Omar Sanseviero discusses the trends in the ML ecosystem for Open Science and Open Source, the power of creating interactive demos using Open Source libraries and BigScience.
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Taming the Data Mess, How Not to Be Overwhelmed by the Data Landscape
Ismaël Mejía reviews the current data landscape and discusses both technical and organizational ideas to avoid being overwhelmed by the current lack of consolidation of the data engineering world.
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Modern API Development and Deployment, from API Gateways to Sidecars
Matt Turner shows a modern approach to designing, implementing, and documenting APIs using dedicated tooling in a decentralised environment that has all the good parts of an api-gateway solution.
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Data Versioning at Scale: Chaos and Chaos Management
Einat Orr discusses several technologies that version large data sets, the use cases they support and the technology developed to best support those use cases.
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Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud
Kai Waehner explores different architectures and their trade-offs for transactional and analytical workloads. Real-world examples include financial services, retail, and the automotive industry.
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Securing Microservices: Preventing Vulnerability Traversal
Stefania Chaplin is looking at OWASP recommendations and Kubernetes best practices to find out more about how to secure microservices and reduce vulnerability traversal.
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The Next Decade of Software is about Climate - What is the Role of ML?
Sara Bergman introduces the field of green software engineering, showing options to estimate the carbon footprint and discussing ideas on how to make Machine Learning greener.
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How to Operationalize Transformer Models on the Edge
Cassie Breviu discusses different model deployment architectures, how to deploy with edge devices and inference in different programming languages.
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Modern Data Pipelines in AdTech—Life in the Trenches
Roksolana Diachuk discusses how to use modern data pipelines for reporting and analytics as well as the case of historical data reprocessing in AdTech.
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