Category: FAANG

Editor’s Note: This is the second in a two-part series highlighting demo sessions from AIPCon 8, Palantir’s most recent customer conference. In part one, we shared how partners across healthcare, retail, defense, and beyond are leveraging Palantir Foundry and AIP to tackle their most pressing operational challenges. AIPCon 8’s afternoon demo sessions showcased groundbreaking implementations …

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Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to better health outcomes. For example, a …

Read more “Responsible AI design in healthcare and life sciences”

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 …

Read more “How Model Armor can help protect your AI apps from prompt injections and jailbreaks”

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 …

Read more “Serverless deployment for your Amazon SageMaker Canvas models”