Practice
How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.
How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.
Latest in Practice
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Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS
In this post, we show you how PAR built a production-ready multi-tenant LLM analytics system that enforces row-level security through a three-layer architecture…

Pair Nova 2 Lite with Claude for cost-optimized document processing
In this post, we show how pairing Amazon Nova 2 Lite with Anthropic’s Claude Sonnet 4.6 delivers an efficient solution for digitizing scanned documents at scale…

Synthesize the big picture and analyze trends with BigQuery's AI.AGG function
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 sum…

Cloud CISO Perspectives: How Google Cloud Security uses AI internally
Welcome to the second Cloud CISO Perspectives for June 2026. Today, we’re discussing how we use AI to chart a path to autonomous software development lifecycle …

Debugging production agents with Amazon Bedrock AgentCore Observability
In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to a…
African bedrock: How the continent’s minerals can help power the world
Critical minerals underpin everything from AI to low-carbon energy, and African mining sits at the epicenter. Three key moves can help unlock the continent’s na…

GenPage: Towards End-to-End Generative Homepage Construction at Netflix
In an AI-driven world, the fastest learner will win: An interview with McKinsey’s Sven Smit
As he steps down as chair of McKinsey Global Institute, Sven considers the current AI moment, where the next big ideas are coming from, and how institutions wil…

Securing agentic AI with perimeter guardrails: What's new in VPC Service Controls
As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and…

How Cara pioneers domain-specific AI for enterprise insurance brokerages with AWS
In this post, we explore how Cara, built in cooperation with AWS, addresses these challenges. We walk through the technical design decisions and the AWS service…

Build interactive PDF text extraction from Amazon S3
In this post, you’ll build a server that extracts text from PDF files in Amazon S3 in real time. This protocol-based approach provides programmatic document acc…

Production-grade AI agents for financial compliance: Lessons from Stripe
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agen…
Building profit resilience in European private banking
Private banks face a critical decision point: Strengthen their business focus and monetization discipline, or risk declining profits.…
Turning sustainability compliance into a competitive edge
How financial institutions can turn mandatory reporting of financed emissions into a growth opportunity.…
The age of thinking machines: Perspectives on the future of robotics
The next frontier of AI is physical. Embodied intelligence, in the form of robots, could change how we live and work by 2040.…
What it takes to become—and remain—an effective CEO
Between the first 90 days and the last, here’s how leaders can successfully manage people, products, processes, and themselves.…

Building agentic AI applications with a modern data mesh strategy on AWS
This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.…

Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock
In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed t…

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI
In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment ste…

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell
This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch …

Retrofit, don’t rebuild: Agentic overlays for transforming legacy enterprise services
In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that tr…
Frontiers of compute: The technologies to reduce AI inference costs
AI’s next breakthrough may not be a smarter model but a cheaper token.…
Unlocking full potential: Five practices reshaping PE value creation
The half-life of the initial deal thesis is shrinking. Private equity firms are shifting toward a more adaptive, execution-led model that reshapes value creatio…
How TITAN Group’s CEO is transforming a century-old company
As the first outside leader of the family-founded business, Marcel Cobuz has made some tough decisions about what to keep and what to change. His formula seems …
How companies can strengthen their geopolitical risk readiness
Survey results reveal a widening gap between leaders’ assessment of their risk exposure and responsiveness. Five actions can help leaders prepare for a range of…
What matters most to investors in 2026 and what it means for companies
Even before the Middle East conflict began, geopolitics surged as the foremost investor concern. AI disruption and capital allocation discipline are also top of…
How KPN is building an agentic AI engine for customer care
By transforming its contact center with agentic AI, the leading Dutch telecom company is strengthening quality, improving efficiency, and building AI capabiliti…

AI-powered BI with Snowflake and Amazon Quick
In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a…

Build a healthcare appointment agent with Amazon Nova 2 Sonic
In this post, you will learn how to build a voice agent that handles appointment reminder conversations using Amazon Nova 2 Sonic and Amazon Bedrock AgentCore. …

Huntington Bank: Redacting sensitive data from 400M+ documents with AWS
In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Indus…