Tag: faang

Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on historical interaction patterns, user demographic attributes, …

Read more “Recommend and dynamically filter items based on user context in Amazon Personalize”

As pet owners, we all want to make sure our pets are happy and healthy. But with so many different products and services competing for our attention, it can be overwhelming to decide which ones are best. That’s whereWoof comes in. We are on a mission to revolutionize the pet industry by providing the best …

Read more “Of barks and bots: Woof revolutionizes pet care with AI chatbot powered by Google Cloud”

Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. Their staff has long used statistical models and regression analyses to make important decisions such as targeting populations with the highest risk factors for a disease with therapeutics, or forecasting the progression of concerning outbreaks. When public …

Read more “Capture public health insights more quickly with no-code machine learning using Amazon SageMaker Canvas”

When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor. The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and products, …

Read more “Watch This Space: New Field of Spatial Finance Uses AI to Estimate Risk, Monitor Assets, Analyze Claims”

Posted by Kuniaki Saito, Student Researcher, Cloud AI Team, and Kihyuk Sohn, Research Scientist, Perception Team Pre-training visual language (VL) models on web-scale image-caption datasets has recently emerged as a powerful alternative to traditional pre-training on image classification data. Image-caption datasets are considered to be more “open-domain” because they contain broader scene types and vocabulary …

Read more “Unifying image-caption and image-classification datasets with prefix conditioning”

Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can discover and deploy publicly available and proprietary foundation models to dedicated Amazon SageMaker instances for your generative AI applications. SageMaker JumpStart allows you to deploy foundation models from a network isolated environment, and …

Read more “Use proprietary foundation models from Amazon SageMaker JumpStart in Amazon SageMaker Studio”