Tag: ai/ml

About this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, …

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By Ben Sykes In a previous post, we described how Netflix uses Apache Druid to ingest millions of events per second and query trillions of rows, providing the real-time insights needed to ensure a high-quality experience for our members. Since that post, our scale has grown considerably. With our database holding over 10 trillion rows and …

Read more “Stop Answering the Same Question Twice: Interval-Aware Caching for Druid at Netflix Scale”

Enterprises often struggle to onboard new team members at scale. Human resources (HR) teams spend time on manual tasks that delay productivity, such as processing documents to answering repeated questions about benefits and policies. For organizations with many new hires, these steps make it harder to keep onboarding consistent and compliant. Organizations lose substantial amounts …

Read more “Build AI-powered employee onboarding agents with Amazon Quick”

Synchronizing the Senses: Powering Multimodal Intelligence for Video Search By: Meenakshi Jindal and Munya Marazanye Today’s filmmakers capture more footage than ever to maximize their creative options, often generating hundreds, if not thousands, of hours of raw material per season or franchise. Extracting the vital moments needed to craft compelling storylines from this sheer volume of …

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In today’s agentic AI environments, the network has a new set of responsibilities. In a traditional application stack, the network mainly moves requests between services. But as discussed in a recent white paper, Cloud Infrastructure in the Agent-Native Era, in an agentic system the network sits in the middle of model calls, tool invocations, agent-to-agent …

Read more “Envoy: A future-ready foundation for agentic AI networking”

By Renata Teixeira, Zhi Li, Reenal Mahajan, and Wei Wei On January 26, 2026, we flipped an important switch for Live at Netflix: all Live events are now encoded using VBR (Variable Bitrate) instead of CBR (Constant Bitrate). It sounds like a small configuration change, but it required us to revisit some of the foundational assumptions …

Read more “Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events”

Evaluating single-turn agent interactions follows a pattern that most teams understand well. You provide an input, collect the output, and judge the result. Frameworks like Strands Evaluation SDK make this process systematic through evaluators that assess helpfulness, faithfulness, and tool usage. In a previous blog post, we covered how to build comprehensive evaluation suites for …

Read more “Simulate realistic users to evaluate multi-turn AI agents in Strands Evals”