Performing research and clinical analytics on vast amounts of clinical data can be difficult. Healthcare data scientists and epidemiologists possess deep domain expertise in patient care, disease patterns, and clinical …
Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent Read More »
Scientists are working to sequence the genome of every known species on Earth.
We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard.
This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and …
Managing ModelOps workflows can be complex and time-consuming. If you’ve struggled with setting up project templates for your data science team, you know that the previous approach using AWS Service …
Simplify ModelOps with Amazon SageMaker AI Projects using Amazon S3-based templates Read More »
Building AI applications with Amazon Bedrock presents throughput challenges impacting the scalability of your applications. Global cross-Region inference in the af-south-1 AWS Region changes that. You can now invoke models from the …
Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the …
Scaling content review operations with multi-agent workflow Read More »
Google AI Ultra subscribers in the U.S. can now try out Project Genie.
We’re launching Google AI Plus in 35 new countries and territories including the US, making it available everywhere Google AI plans are available.
This post was co-written with Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations drive community engagement, manage …
