SceneScout: Towards AI Agent-driven Access to Street View Imagery for Blind Users

People who are blind or have low vision (BLV) may hesitate to travel independently in unfamiliar environments due to uncertainty about the physical landscape. While most tools focus on in-situ navigation, those exploring pre-travel assistance typically provide only landmarks and turn-by-turn instructions, lacking detailed visual context. Street view imagery, which contains rich visual information and …

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Why We Serve: Palantirians Reflect on Duty, Honor & Innovation

In honor of Independence Day, Palantir Veterans and Intelligence Community (IC) alums offer reflections on their prior service and what it means to continue to serve the mission at Palantir. In their own words, they share how the values forged in service to the nation — duty, honor, and a commitment to mission — shape the work they do …

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Transforming network operations with AI: How Swisscom built a network assistant using Amazon Bedrock

In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often spend considerable time manually gathering and analyzing this data, taking away valuable hours that could be spent on strategic initiatives. This challenge led Swisscom, Switzerland’s leading telecommunications provider, to explore how AI can transform their …

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How to build a simple multi-agentic system using Google’s ADK

Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often crumble under their own weight because of instruction overload, inaccurate outputs, and brittle systems that are impossible to scale.  …

The Super Weight in Large Language Models

Recent works have shown a surprising result: a small fraction of Large Language Model (LLM) parameter outliers are disproportionately important to the quality of the model. LLMs contain billions of parameters, so these small fractions, such as 0.01%, translate to hundreds of thousands of parameters. In this work, we present an even more surprising finding: …

Driving Content Delivery Efficiency Through Classifying Cache Misses

By Vipul Marlecha, Lara Deek, Thiara Ortiz The mission of Open Connect, our dedicated content delivery network (CDN), is to deliver the best quality of experience (QoE) to our members. By localizing our Open Connect Appliances (OCAs), we bring Netflix content closer to the end user. This is achieved through close partnerships with internet service providers …

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Optimize RAG in production environments using Amazon SageMaker JumpStart and Amazon OpenSearch Service

Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. This transformation is further enhanced by Retrieval Augmented Generation (RAG), a technique that allows large language models (LLMs) to reference external knowledge sources beyond their training data. RAG has gained popularity for its ability to improve …

A guide to converting ADK agents with MCP to the A2A framework

The evolution of AI agents has led to powerful, specialized models capable of complex tasks. The Google Agent Development Kit (ADK) – a toolkit designed to simplify the construction and management of language model-based applications – makes it easy for developers to build agents, usually equipped with tools via the Model Context Protocol (MCP) for …

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Use Amazon SageMaker Unified Studio to build complex AI workflows using Amazon Bedrock Flows

Organizations face the challenge to manage data, multiple artificial intelligence and machine learning (AI/ML) tools, and workflows across different environments, impacting productivity and governance. A unified development environment consolidates data processing, model development, and AI application deployment into a single system. This integration streamlines workflows, enhances collaboration, and accelerates AI solution development from concept to …

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From R&D to Real-World Impact

Palantir’s Advice for the White House OSTP’s AI R&D Plan Editor’s Note: This blog post highlights Palantir’s response to a Request for Information regarding the redrafting of the National AI R&D Plan. For more information on Palantir’s contributions to AI policy, visit our website here. Improving the Nation’s AI R&D Plan As the AI race evolves, so too …