InfoQ Homepage Artificial Intelligence Content on InfoQ
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From Symptom Checkers to Smart Chatbots: the Role of AI in Virtual Care
Andre Ribeiro discusses the architecture of Healthily’s AI symptom checker. He explains how Bayesian inference and RAG models bridge the gap between medical insights and confident patient action.
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Four Patterns of AI Native Development
Patrick Debois explains the shift to AI-native development, focusing on how engineers are moving from producers to managers of intent while navigating the "chaos period" of 600+ emerging AI tools.
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Busting AI Myths and Embracing Realities in Privacy & Security
Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.
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AI Innovation in 2025 and beyond
Tejas Kumar discusses the evolution of AI from 1906 to 2026, explaining how agentic RAG and the Model Context Protocol (MCP) are shifting the industry from complex UIs to a prompt-driven future.
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DevOps Modernization: AI Agents, Intelligent Observability and Automation
The panelists explain how AI is redefining DevOps and SRE practices by moving teams beyond reactive monitoring toward predictive, automated delivery and operations.
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Building Embedding Models for Large-Scale Real-World Applications
Sahil Dua explains the architecture and training of embedding models. He shares practical tips for distilling large models and scaling RAG applications for real-time production environments.
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Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya explains how Netflix unifies search and recommendations using the "UniCoRn" model and leverages Transformer-based foundation models to personalize the experience for 300M+ users.
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Ecologies and Economics of Language AI in Practice
Jade Abbott explains how to build sustainable AI using "Little LMs." She discusses environmental impacts, linguistic justice, and technical optimizations like quantization and model distillation.
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DevOps Is for Product Engineers, Too
Lesley Cordero explains how DevOps and platform engineering drive sociotechnical excellence. She shares strategies for joint optimization, distributed leadership, and organizational sustainability.
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Lessons Learned from Shipping AI-Powered Healthcare Products
Clara Matos shares lessons from shipping AI in healthcare at Sword Health. She discusses building guardrails, utilizing LLM-as-a-judge evals, and optimizing RAG to ensure safety and reliability.
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Powering Enterprise AI Applications with Data and Open Source Software
Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.
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Securing AI Assistants: Strategies and Practices for Protecting Data
Andra Lezza reviews the OWASP Top 10 for LLMs and contrasts security controls for independent vs. integrated copilot architectures.
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