Category: FAANG

Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they rely on user videos, comments, …

Read more “How to decide between Amazon Rekognition image and video API for video moderation”

(An English-language version of this post can be read here.) Atteindre la neutralité carbone en 2050 suppose de sortir totalement des ressources fossiles et donc de transformer radicalement l’économie et les comportements. Décarboner l’industrie représente un axe prioritaire pour atteindre les objectifs climatiques de la France. En effet 18 % des émissions de gaz à effet …

Read more “La neutralité carbone est un problème d’intégration de données: la décarbonation grâce aux données”

We’re launching a classifier trained to distinguish between AI-written and human-written text. We’ve trained a classifier to distinguish between text written by a human and text written by AIs from a variety of providers. While it is impossible to reliably detect all AI-written text, we believe good classifiers can inform mitigations for false claims that …

Read more “New AI classifier for indicating AI-written text”

Privacy-Enhancing Technologies (PETs) ensure the responsible use of personal data, but many organizations misunderstand how they are best deployed. Editor’s note: This is the sixth post in the Palantir RFx Blog Series, which explores how organizations can better craft RFIs and RFPs to evaluate digital transformation software. Each post focuses on one key capability area …

Read more “Privacy-Enhancing Technologies (PETs): An adoption guide (Palantir RFx Blog Series, #6)”

By Grace Tang, Aneesh Vartakavi, Julija Bagdonaite, Cristina Segalin, and Vi Iyengar When members are shown a title on Netflix, the displayed artwork, trailers, and synopses are personalized. That means members see the assets that are most likely to help them make an informed choice. These assets are a critical source of information for the member …

Read more “Discovering Creative Insights in Promotional Artwork”

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, …

Read more “Amazon SageMaker built-in LightGBM now offers distributed training using Dask”

Scalable Annotation Service — Marken by Varun Sekhri, Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. All of these services at a later point want to …

Read more “Scalable Annotation Service — Marken”

This post is co-authored by Tristan Miller from Best Egg. Best Egg is a leading financial confidence platform that provides lending products and resources focused on helping people feel more confident as they manage their everyday finances. Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed …

Read more “Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning”

Editor’s Note: Find out more on our Palantir and Microsoft page, or visit the Microsoft Azure Marketplace. Amid global economic uncertainty, access to integrated, protected, and trusted data and analytics is more vital than ever when it comes to creating business value. To further enable transformative outcomes, Palantir is pleased to partner with Microsoft in …

Read more “Palantir Announces Availability of Foundry on Microsoft Azure”