Blog

At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced. ​ 

Design patterns for scalable voice agents matter for organizations that need to deliver fast, natural, and reliable voice experiences. Many teams face challenges like high latency, managing real-time audio, and

Agentic IDEs that forget what you told them in previous sessions aren’t very helpful. You work on your large codebase with complex business requirements for days or weeks. However, your

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It now supports Apache Iceberg table format, streaming ingestion,

Programmatic tool calling (PTC) is a paradigm shift in how large language models (LLMs) interact with external tools. In a traditional tool-calling workflow, each tool invocation requires a full round

If you moderate user-generated content at scale, you need a system that catches policy violations accurately without over-flagging legitimate posts. A moderation system that misses harmful content puts you at

This guest post is co-written by Angela Mapes and Adam Walker of Aderant. Aderant, a leading global provider of comprehensive business management software for the legal industry, transformed how its

Teams can integrate Atlassian Confluence Cloud with Amazon Quick to search and manage documentation without switching between multiple systems. When documentation lives in Confluence, but related data sits in other

Special thanks to everyone who contributed to this launch: Stephanie Yuan, Lefan Zhang, Ritvika Pillai, Irene Wang, Carter Williams, T.J Ariyawansa, Gitika Jha, Shoaib Javed and the product leadership from

Organizations that must restrict access to sensitive documents increasingly rely on AI-driven search and chat to help employees find answers across large repositories. Coarse-grained permissions that control access at the