AWS, data, and AI.

Managing or migrating to the cloud is a critical step for many companies, but lean teams often face unpredictable costs, weak governance, and difficulty scaling. With the right strategy, those barriers can become a foundation for growth instead of a brake on it.

Generative AI is moving from proof of concept to operating model. This article outlines the shift to business value, the data foundation required, the main adaptation strategies, and a practical two-phase rollout for internal AI assistants.

Technology is at the center of modern business, but fast growth often leaves companies with complex, poorly documented IT environments. Before migrating to the cloud, adopting AI, or scaling digital operations, you need a clear assessment of where you stand.

A guide to AWS Activate, proofs of concept, Incremental Workloads, and MAP for startups at different stages of growth.

AI agents are autonomous systems that interpret context, gather data, and act toward a goal. This overview covers their core principles, architecture, common types, business value, adoption risks, and how to apply them responsibly.

An archive of AWS Summit São Paulo 2025 covering event facts, the keynote, major tracks, and themes that remain relevant.

AWS gives teams a practical path to build GenAI applications with the right foundation for security, scalability, and responsible adoption, while incentive programs can reduce the cost of experimentation.

Amazon Q Developer Pro can help AWS engineering teams ship faster with more context, better code quality, and stronger governance across modern delivery workflows.

Elevata earned the AWS Transfer Family Service Delivery designation, reinforcing our ability to modernize secure file-transfer workflows on AWS.

Elevata earned the AWS Control Tower Service Delivery designation, validating our capability to implement secure, scalable multi-account governance on AWS.