InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Beyond Durability: Database Resilience and Entropy Reduction with Write-Ahead Logging at Netflix
Prudhviraj Karumanchi and Vidhya Arvind share how Netflix built a Write-Ahead Log to guarantee data durability and reliability, tackling issues like data loss, corruption, and replication at scale.
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Supporting Diverse ML Systems at Netflix
David Berg and Romain Cledat discuss Metaflow, Netflix's ML infrastructure for diverse use cases from computer vision to recommendations.
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Rust: a Productive Language for Writing Database Applications
Carl Lerche discusses Rust's potential for higher-level applications & shares productivity tips.
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What to Pack for Your GenAI Adventure
Soledad Alborno discusses essential skills and new tools for building successful Generative AI products.
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Scaling Large Language Model Serving Infrastructure at Meta
Ye (Charlotte) Qi explains key considerations for optimizing LLM inference, including hardware, latency, and production scaling strategies.
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Ultra-Fast In-Memory Database Applications with Java
Markus Kett shares how to build the fastest database applications using Java & EclipseStore, bypassing traditional database limitations.
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Stream All the Things — Patterns of Effective Data Stream Processing
Adi Polak shares effective data stream processing patterns, common mistakes, and exactly-once semantics.
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From "Simple" Fine-Tuning to Your Own Mixture of Expert Models Using Open-Source Models
Sebastiano Galazzo shares practical tips and mistakes in creating custom LLMs for cost-effective AI. Learn LoRA, merging, MoE & optimization.
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How Green is Green: LLMs to Understand Climate Disclosure at Scale
Leo Browning explains the journey of developing a Retrieval Augmented Generation (RAG) system at a climate-focused startup.
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GenAI for Productivity
Mandy Gu shares Wealthsimple's journey leveraging generative AI for productivity and operational optimization.
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LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries
Stefania Chaplin and Azhir Mahmood discuss responsible, secure, and explainable AI in regulated industries. Learn MLOps, legislation, and future trends.
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Responsible AI for FinTech
Lexy Kassan discusses responsible AI: regulation (EU AI Act, FinTech), ethical principles, governance, and FinTech's disruptive response.
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