Tag: ai/ml

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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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 …

Read more “Generate Gremlin queries using Amazon Bedrock models”

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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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 …

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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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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 …

Read more “Build trust and context for AI with lineage, now at column-level granularity”