Tag: ai/ml

Data scientists often train their models locally and look for a proper hosting service to deploy their models. Unfortunately, there’s no one set mechanism or guide to deploying pre-trained models to the cloud. In this post, we look at deploying trained models to Amazon SageMaker hosting to reduce your deployment time. SageMaker is a fully …

Read more “Reduce the time taken to deploy your models to Amazon SageMaker for testing”

Volkswagen strives to design beautiful, performant, and energy efficient vehicles. This entails an iterative process where designers go through many design drafts, evaluating each, integrating the feedback, and refining.  For example, a vehicle’s drag coefficient—its resistance to air—is one of the most important factors of energy efficiency. Thus, getting estimates of the drag coefficient for …

Read more “How Volkswagen and Google Cloud are using machine learning to design more energy-efficient cars”

The Challenge Effective vulnerability management is a cornerstone of any established security program. For complex cloud software providers like Palantir, staying on top of vulnerabilities and quickly remediating them is critical to staying ahead of our adversaries. If undetected or unmitigated, vulnerabilities in container images and software dependencies can rapidly become a blind spot that …

Read more “How Palantir Manages Continuous Vulnerability Scanning at Scale”

Today, we’re excited to announce self-service quota management support for Amazon Textract via the AWS Service Quotas console, and higher default service quotas in select AWS Regions. Customers tell us they need quick turnaround times to process their requests for quota increases and visibility into their service quotas so they may continue to scale their …

Read more “Introducing self-service quota management and higher default service quotas for Amazon Textract”

Editor’s note: This blog post is the third in a series about Palantir Apollo, following publication of Why Traditional Approaches to Continuous Deployment Don’t Work Today and Palantir Apollo Orchestration: Constraint-Based Continuous Deployment For Modern Architectures. Over the last decade, infrastructure platforms have grown to meet the increasing demand for using containers as the fundamental …

Read more “How Palantir Apollo Saves Developer Time on Kubernetes”

Un enfoque íntegro de la privacidad y la gobernanza Editor’s Note: This is a lightly edited translation of the original English-language post. Palantir Foundry es una plataforma de software que permite a nuestros clientes sincronizar sus datos en un entorno seguro en el que todos los miembros de la organización pueden utilizar dichos datos para …

Read more “Protección de Datos en Palantir Foundry”

This post is co-written by Goktug Cinar, Michael Binder, and Adrian Horvath from Bosch Center for Artificial Intelligence (BCAI). Revenue forecasting is a challenging yet crucial task for strategic business decisions and fiscal planning in most organizations. Often, revenue forecasting is manually performed by financial analysts and is both time consuming and subjective. Such manual …

Read more “Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models”