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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 …
Great technology gives us new ways of seeing and working with the world. The microscope enabled new scientific understanding. Trains and telegraphs, in different ways, changed the way we think about distance. Today, cloud computing is changing how we can assist in improving human health. When you think of the healthcare system, it historically includes …
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”
Achieving health equity is perhaps the greatest challenge facing US public health officials today. In a 2021 report released by the Commonwealth Fund, the nation ranked last among high-income countries in access to healthcare and equity, despite spending a far greater share of its GDP on healthcare. Healthcare disparities are closely linked to race, ethnicity, …
Read more “Creating a holistic 360-degree “citizen” view with data and AI”
Conversational AI is too artificial Nothing is more frustrating than calling a customer support line to be greeted by a monotone, robotic, automated voice. The voice on the other end of the phone is taking painfully long to read you the menu options. You’re two seconds away from either hanging up, screaming “representative” into the …
Read more “Is your conversational AI setting the right tone?”
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 …
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 …
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 …
Increasingly more enterprises adopt Machine Learning (ML) capabilities to enhance their services, products, and operations. As their ML capabilities mature, they build centralized ML Platforms to serve many teams and users across their organization. Machine learning is inherently an experimental process requiring repeated iterations. An ML Platform standardizes the model development and deployment workflow to …
Read more “Building a Machine Learning Platform with Kubeflow and Ray on Google Kubernetes Engine”