All articles from AWS Machine Learning Blog aggregated on DeepTrendLab — AI news, research, and announcements in one place.
AWS Machine Learning Blog
51 articles
☁️ AI Labs
AWS Machine Learning Blog
10 min read
Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. To reduce costs and maintain accuracy, Tomofun turned to EC2 Inf2 instances powered by AWS Inferentia2, the Amazon purpose-built AI chips. In this post, we walk through the following sections in detail.
☁️ AI Labs
AWS Machine Learning Blog
12 min read
Hapag-Lloyd's Digital Customer Experience and Engineering team, distributed between Hamburg and Gdańsk, drives digital innovation by developing and maintaining customer-facing web and mobile products. In this post, we walk you…
☁️ AI Labs
AWS Machine Learning Blog
5 min read
Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined experiment tracking to your generative…
☁️ AI Labs
AWS Machine Learning Blog
11 min read
We’re announcing OS Level Actions for AgentCore Browser. This new capability unblocks these scenarios by exposing direct OS control through the InvokeBrowser API, so agents can interact with content visible…
☁️ AI Labs
AWS Machine Learning Blog
16 min read
AI agents in production require secure access to external services. Amazon Bedrock AgentCore Identity, available as a standalone service, secures how your AI agents access external services whether they run…
☁️ AI Labs
AWS Machine Learning Blog
16 min read
In this post, you will learn how you can use Amazon Nova Foundation Models in Amazon Bedrock to apply generative AI techniques for both business protection and enhancement. You can…
☁️ AI Labs
AWS Machine Learning Blog
16 min read
Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams…
☁️ AI Labs
AWS Machine Learning Blog
7 min read
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models…
☁️ AI Labs
AWS Machine Learning Blog
7 min read
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models…
☁️ AI Labs
AWS Machine Learning Blog
7 min read
Generate recommendations from production traces, validate them with batch evaluation and A/B testing, and ship with confidence. AI agents that perform well at launch don’t stay that way. As models…
☁️ AI Labs
AWS Machine Learning Blog
12 min read
Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire journey, from use…
☁️ AI Labs
AWS Machine Learning Blog
6 min read
Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking you from one or more…
☁️ AI Labs
AWS Machine Learning Blog
11 min read
Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in an Amazon…
☁️ AI Labs
AWS Machine Learning Blog
16 min read
In this post, you learn how to get started with Dataset Q&A, explore real-world use cases with hands-on examples, and discover advanced capabilities like auto-discovery across all your data assets…
☁️ AI Labs
AWS Machine Learning Blog
14 min read
Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI automatically works through your…
☁️ AI Labs
AWS Machine Learning Blog
10 min read
In this post, we walk through the full journey, from setting up your migration workspace in AWS Transform to subscribing to partner agents through AWS Marketplace to unlocking Amazon Quick…
☁️ AI Labs
AWS Machine Learning Blog
15 min read
In this post, we take a deeper look at how RLAIF or RL with LLM-as-a-judge works with Amazon Nova models effectively.
☁️ AI Labs
AWS Machine Learning Blog
30 min read
In this post, we introduce a systematic framework for LLM migration or upgrade in generative AI production, encompassing essential tools, methodologies, and best practices. The framework facilitates transitions between different…
☁️ AI Labs
AWS Machine Learning Blog
18 min read
In this post, we show how Sun Finance used Amazon Bedrock, Amazon Textract, and Amazon Rekognition to build an AI-powered identity verification (IDV) pipeline. The solution improved extraction accuracy from…
☁️ AI Labs
AWS Machine Learning Blog
26 min read
This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a storage, Amazon SageMaker…
☁️ AI Labs
AWS Machine Learning Blog
12 min read
In this post, you will configure Amazon Bedrock AgentCore Gateway to access private endpoints using Resource Gateway, a managed construct that provisions Elastic Network Interfaces (ENIs) directly inside your Amazon…
☁️ AI Labs
AWS Machine Learning Blog
13 min read
This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when…
☁️ AI Labs
AWS Machine Learning Blog
11 min read
In this post, you will learn how to design namespace hierarchies, choose the right retrieval patterns, and implement AWS Identity and Access Management (IAM)-based access control for AgentCore Memory.
☁️ AI Labs
AWS Machine Learning Blog
10 min read
In this post, you'll learn how Vanguard built their Virtual Analyst solution by focusing on eight guiding principles of AI-ready data, the AWS services that powered their implementation, and the…