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”
The massive virtual worlds created by growing numbers of companies and creators could be more easily populated with a diverse array of 3D buildings, vehicles, characters and more — thanks to a new AI model from NVIDIA Research. Trained using only 2D images, NVIDIA GET3D generates 3D shapes with high-fidelity textures and complex geometric details. …
Posted by Jeremy Maitin-Shepard and Laramie Leavitt, Software Engineers, Connectomics at Google Many exciting contemporary applications of computer science and machine learning (ML) manipulate multidimensional datasets that span a single large coordinate system, for example, weather modeling from atmospheric measurements over a spatial grid or medical imaging predictions from multi-channel image intensity values in a …
Read more “TensorStore for High-Performance, Scalable Array Storage”
Our planet faces a global extinction crisis. UN Report shows a staggering number of more than a million species feared to be on the path of extinction. The most common reasons for extinction include loss of habitat, poaching, and invasive species. Several wildlife conservation foundations, research scientists, volunteers, and anti-poaching rangers have been working tirelessly …
Read more “Detect population variance of endangered species using Amazon Rekognition”
Amazon’s product search engine indexes billions of products, serves hundreds of millions of customers worldwide, and is one of the most heavily used services in the world. The Amazon Search team develops machine learning (ML) technology that powers the Amazon.com search engine and helps customers search effortlessly. To deliver a great customer experience and operate …
Read more “How Amazon Search reduced ML inference costs by 85% with AWS Inferentia”