Why AI and digital twins could be the keys to a sustainable future
A sustainable future: How AI and digital twins are helping ESG and sustainability efforts in construction, industry and city planning.Read More
A sustainable future: How AI and digital twins are helping ESG and sustainability efforts in construction, industry and city planning.Read More
Plus: A leaked trove illuminates Russia’s internet regulator, a report finds Facebook and Instagram violated Palestinian rights, and more.
Plus: Framework has a new ultra-repairable Chromebook, there’s a cheaper Google Chromecast, and Amazon refreshes its Fire HD tablets.
These weatherproof devices can keep a watchful eye on your property and let you get on with life.
These services deliver freshly roasted, delicious coffee right to your door—each with its own twist.
A cache of phytoplankton at the Academy of Natural Sciences of Drexel University is helping researchers reconstruct historical coastlines.
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”