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Acerca de Palantir

Respuestas a preguntas frecuentes sobre Palantir Hemos recibido muchas preguntas sobre Palantir. Dado el gran interés que despierta nuestra empresa, hemos recopilado las preguntas que nos hacen con más frecuencia y las respondemos en esta entrada del blog. ¿A qué se dedica Palantir? Palantir Technologies es una empresa de software que proporciona plataformas para accionar datos e …

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Generate Gremlin queries using Amazon Bedrock models

Graph databases have revolutionized how organizations manage complex, interconnected data. However, specialized query languages such as Gremlin often create a barrier for teams looking to extract insights efficiently. Unlike traditional relational databases with well-defined schemas, graph databases lack a centralized schema, requiring deep technical expertise for effective querying. To address this challenge, we explore an …

Can AI suffer?

TL;DR AI systems today cannot suffer because they lack consciousness and subjective experience, but understanding structural tensions in models and the unresolved science of consciousness points to the moral complexity of potential future machine sentience and underscores the need for balanced, precautionary ethics as AI advances. As artificial intelligence systems become more sophisticated, questions that …

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Build scalable creative solutions for product teams with Amazon Bedrock

Creative teams and product developers are constantly seeking ways to streamline their workflows and reduce time to market while maintaining quality and brand consistency. This post demonstrates how to use AWS services, particularly Amazon Bedrock, to transform your creative processes through generative AI. You can implement a secure, scalable solution that accelerates your creative workflow, …

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How Model Armor can help protect your AI apps from prompt injections and jailbreaks

As AI continues to rapidly develop, it’s crucial that IT teams address the business and organizational risks posed by two common threats: prompt injection and jailbreaking.  Earlier this year we introduced Model Armor, a model-agnostic advanced screening solution that can help safeguard gen AI prompts and responses, and agent interactions. Model Armor offers a comprehensive …

This Blog Post was Written by ChatGPT Atlas

Written by ChatGPT Atlas Agent in Squarespace TL;DR The post introduces ChatGPT Atlas, OpenAI’s new browser with built‑in ChatGPT and an agent mode, explaining how it autonomously drafted the article and highlighting key features like contextual assistance, end‑to‑end task automation, built‑in memory, more intelligent search, inline writing help, privacy controls, cross‑platform availability, split‑screen viewing and …

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Serverless deployment for your Amazon SageMaker Canvas models

Deploying machine learning (ML) models into production can often be a complex and resource-intensive task, especially for customers without deep ML and DevOps expertise. Amazon SageMaker Canvas simplifies model building by offering a no-code interface, so you can create highly accurate ML models using your existing data sources and without writing a single line of …

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Build trust and context for AI with lineage, now at column-level granularity

Effective AI systems operate on a foundation of context and continuous trust. When you use Dataplex Universal Catalog, Google Cloud’s unified data governance platform, the metadata that describes your data is no longer static — it’s where your AI applications can go to know where to find data and what to trust. But when you …

What Hotels Can, and Need to Do to Gain an Advantage or Stay Ahead Using AI in 2025/2026

This article was created in partnership withJori White PR, London TL;DR Adopt AI that quietly powers pricing, operations, and personalization while keeping service unmistakably human, or risk watching rival luxury hotels outpace you in 2025 and 2026. In today’s ultra-competitive hospitality landscape, artificial intelligence (AI) has emerged as the new battleground for high-end hotels. Imagine …

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Behind the Streams: Real-Time Recommendations for Live Events Part 3

By: Kris Range, Ankush Gulati, Jim Isaacs, Jennifer Shin, Jeremy Kelly, Jason Tu This is part 3 in a series called “Behind the Streams”. Check out part 1 and part 2 to learn more. Picture this: It’s seconds before the biggest fight night in Netflix history. Sixty-five million fans are waiting, devices in hand, hearts pounding. The …