Category: FAANG

Amazon Quick Sight is a core feature within Amazon Quick — an agentic, AI-powered digital workspace designed to maximize end-user productivity— that provides AI-powered BI capabilities through natural language queries, interactive dashboards, and embedded analytics from trusted enterprise data sources. Amazon Quick Sight assets such as dashboards, analyses, datasets, and data sources can be backed up using the …

Read more “Implement a backup strategy for Amazon Quick Sight BI assets”

We recently announced the preview of the BigQuery AI.AGG() function. With AI.AGG(), you can use natural-language instructions within a single line of SQL to summarize or synthesize information over millions of rows of unstructured or even multimodal data. Summarize millions of rows with one line of SQL: AI.AGG While BigQuery already offers powerful AI functions …

Read more “Synthesize the big picture and analyze trends with BigQuery’s AI.AGG function”

Picture this: a compliance officer needs a specific clause during an audit, an attorney needs contract terms while a client waits on the phone, or a finance analyst needs numbers from last quarter’s report before a meeting that starts in 10 minutes. In each case, waiting for a scheduled job to finish is not practical. …

Read more “Build interactive PDF text extraction from Amazon S3”

As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and datasets, so it’s essential to establish clear network-level boundaries for comprehensive data protection.  To help organizations confidently deploy these workflows, we recommend VPC Service Controls (VPC-SC) to establish an essential network-level, destination-based perimeter. Today …

Read more “Securing agentic AI with perimeter guardrails: What’s new in VPC Service Controls”

The opinions expressed in this post are the authors’ views and not those of Cisco. Enterprise architectures have long been centered on REST APIs and microservices. These systems are stable, well-tested, and deeply embedded in production environments. They weren’t designed for Agent-to-Agent (A2A) communication, the emerging standard for autonomous agents that collaborate, reason, and coordinate …

Read more “Retrofit, don’t rebuild: Agentic overlays for transforming legacy enterprise services”

When your document repository contains hundreds of millions of files accumulated over nearly a decade, how do you systematically find and redact sensitive customer data without taking years to complete? This was the challenge facing The Huntington National Bank (Huntington), a top 10 bank in the United States. Redacting sensitive information at scale Since 2015, …

Read more “Huntington Bank: Redacting sensitive data from 400M+ documents with AWS”

Protein researchers face a time-consuming challenge: manually searching through thousands of peptide sequences to find structurally similar candidates is slow, error-prone, and requires deep domain expertise to interpret results. Building a protein research copilot can transform how researchers search for structurally similar peptides across large datasets — enabling natural language queries, automated embedding generation, and …

Read more “Build a protein research copilot with Amazon Bedrock AgentCore”

Protecting sensitive data used with AI is a critical part of our commitment to providing advanced and secure cloud infrastructure. Confidential Computing cryptographically protects data in use in hardware-based Trusted Execution Environments (TEEs) with verifiable data integrity.  We are thrilled to share our latest Confidential Computing innovations across our hardware ecosystem that help further strengthen …

Read more “Verifiable, private AI: Google Cloud expands Confidential Computing frontiers”

By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh Azarnoush Introduction At Netflix, we build technology to help storytellers bring their creative visions to life and to help members discover the stories they love. To connect stories with diverse audiences around the world, we produce promotional assets, including trailers, teasers, and social short‑form videos, that build on …

Read more “Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix”

This post was co-written with Kevin Jones from Ampersend (Edge & Node) and Chethan Shriyan from the Amazon Bedrock AgentCore Payments team. Ampersend and Amazon Bedrock AgentCore Payments are addressing one of the hardest problems in agentic AI. How do autonomous agents pay for services without developers building bespoke billing integrations, credential management, and payment …

Read more “Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments”