InfoQ Homepage Best Practices Content on InfoQ
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Are You Missing a Data Frame? The Power of Data Frames in Java
Vladimir Zakharov discusses the power of DataFrames in Java. He compares implementations like DataFrame-EC and Tablesaw against Python’s pandas, focusing on performance and memory efficiency.
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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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Growing and Cultivating Strong Machine Learning Engineers
Vivek Gupta explains how to nourish and cultivate Machine Learning engineers, detailing the unique production-ML skills required for scaling, governance, and LLMOps.
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Systems Thinking for Scaling Responsible Multi-Agent Architectures
Nimisha Asthagiri explains how systems thinking and Causal Flow Diagrams are tools to navigate the unintended consequences of increasingly complex multi-agent AI systems and ensure responsible AI.
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Your Roadmap to a Fulfilling Career: the Pillars of Staff+ Growth
David Grizzanti shares a roadmap for senior software developers and architects, explaining how to navigate the staff-plus career path and find fulfillment beyond a title.
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Myth Busters: is Rust a Slam Dunk?
Ramya Krishnamoorthy explains why her team at Momento rewrote their core platform from Kotlin to Rust to achieve lower latencies and better cost efficiency.
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Thinking Like an Architect
Gregor Hohpe explains that effective architects make others smarter. He shares strategies for using metaphors and models to drive alignment, overcome resistance, and build resilient systems.
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Platform Engineering Patterns for Scalable Software Delivery
Discover how to build a successful Internal Developer Platform (IDP). The panelists share key patterns and lessons learned for scaling platform engineering.
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Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure
Matthew Liste the executive VP and global head of infrastructure for American Express, discusses the 11 key principles for building resilient, scalable, and secure platforms.
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Optimizing Custom Workloads with RISC-V
Ludovic Henry shares how RISC-V's open, modular architecture optimizes custom workloads, addressing urgent AI hardware demand & proprietary limits.
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Maximizing Deep Learning Performance on CPUs using Modern Architectures
Bibek Bhattarai demystifies Intel AMX, explaining how this CPU architecture accelerates deep learning workloads via low-precision matrix multiplication and efficient data handling.
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From Junior to Staff and beyond: Lessons Learned
Bruno Rey discusses career growth in tech, sharing how to accelerate your path to staff engineer and effectively mentor others, drawing on 17 years of professional experience.
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