Data Engineering for AI: A Practical Guide for Data Professionals
Data engineering is the foundational backbone of artificial intelligence systems....
Data engineering is the foundational backbone of artificial intelligence systems....
A data warehouse is a centralized repository that collects, organizes, and stores...
Row-level security (RLS) is a database access control that limits which rows of a...
Payment fraud detection has become one of the most data-intensive challenges in financial services...
Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync…
Today, Quick gets even more powerful: new autonomous agents that work continuously on your behalf, an activity feed that helps you prioritize your most important work,…
Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams,…
Today we're introducing new capabilities on Amazon Bedrock AgentCore, the platform to build, connect, and optimize agents. In this post, we cover how these capabilities close…
Today, we’re announcing a new API with Amazon Bedrock Guardrails. With this API, you can apply individual safeguards, also referred to as safety checks, at any…
Today, we’re excited to announce container image caching for Amazon SageMaker AI inference, the next major advancement in our faster scaling optimization journey. This speeds up…
This post walks you through how to use P-EAGLE directly within Amazon SageMaker AI. It will demonstrate how to select a compatible model from the SageMaker…
Enterprise storage migrations are rarely just about copying data. They are about protecting business continuity, maintaining performance, managing cost, and giving teams confidence when terabytes or…
Today, we are announcing the availability of the Gemma 4 family on Amazon Bedrock. Built by Google DeepMind and released under the Apache 2.0 license, Gemma…
In this post, we walk you through calling the detector functions to diagnose real agent failures. You learn how to interpret their structured output: categorized failures…
In this post, you'll build a competitive research agent that demonstrates this pattern end to end. This walkthrough targets developers building multi-step AI workflows who need…
In this post, we explore how Rocket Close built a solution using Strands Agents, large language models (LLMs), Amazon Bedrock, Amazon Bedrock Knowledge Bases, and Model…
At Microsoft Build 2026, AI moved from experimentation to execution—shifting from isolated tools to connected systems grounded in business data. Organizations that win will embed AI…
A new chiplet architecture, custom die-to-die connectivity, and support for DDR5-8800 memory and the latest PCIe gen6 interconnects improve performance by 25% for general-purpose and agentic…
Splitting the “separation kernel” off from the rest of the Nitro security system and using only a subset of the Rust programming language to code it…
Claude Fable 5, Anthropic’s latest Frontier model, available today in Microsoft Foundry, powering agents in GitHub Copilot and Foundry Agent Service. The post Claude Fable 5…
Four approaches can dramatically improve the performance and trustworthiness of AI agents in operational environments.
The harnesses that mediate between models and tools in agentic systems are becoming their own performance bottleneck, but a few simple design principles can fix what…
Automatically fact-checking long, AI-generated research reports poses new challenges — including benchmarking.
We are building a comprehensive agent platform: one that supports many models, is open, and gives you flexibility at every layer of the stack. The post…