Cloud, data, and AI in practice.

NVIDIA GTC 2026 marked a decisive shift from training to inference. The Vera Rubin architecture promises 10x efficiency gains, the NemoClaw platform brings autonomous agent orchestration, and AWS was named the primary scale partner. Here is what it means for teams running AI workloads on AWS.

Infrastructure requirements and setup guide for Claude Code on Amazon Bedrock and AWS. Configure Bedrock, deploy self-hosted models in your VPC, and set up IAM, networking, model pinning, and enterprise rollout.

By Paulo Frugis, CTO at Elevata The Productivity Paradox and the Next Evolution of Enterprise AI For the last two years, the corporate world has been locked in a “Productivity Paradox.” We have access to the most powerful Large Language Models (LLMs) in history, yet aggregate productivity has not skyrocketed as predicted. The reason? A […]

The narrative of the last decade has been dominated by a singular, overwhelming directive: Move to the Cloud. For years, C-Suite executives, CTOs, and IT Directors have been sold a vision of the future that promised three things: infinite scalability, unprecedented agility, and—most enticingly—significant cost reductions. The pitch was simple. By ditching the heavy capital […]

By Paulo Frugis – Elevata’s CTO We are witnessing a quiet but violent shift in the software landscape. For the past two years, the industry has been in the “Honeymoon Phase” of Generative AI, obsessed with Chatbots, Copilots, and RAG (Retrieval-Augmented Generation) systems that summarize PDFs. That phase is ending. The market is no longer […]

Elevata earned the AWS Generative AI Competency, validating our ability to design, implement, and operate production-grade GenAI solutions on AWS.

Elevata and Escola da Nuvem are joining forces around a shared goal: prepare, connect, and create opportunities for cloud talent so the future of technology in Brazil is built on stronger access, inclusion, and real employability.

The Amazon Q Business and Zoom AI Companion integration puts trusted company knowledge inside live meetings. It reduces context switching, respects existing permissions, and helps teams make faster, better decisions.

Generative AI becomes a real competitive advantage when it is grounded in proprietary data, not generic public models. This article explains where foundation models fall short, how fine-tuning and RAG create differentiation, and why a modern data strategy matters as much as the model itself.

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.

For startups, every infrastructure decision can shape the difference between accelerated growth and expensive rework. AWS startup programs offer credits, funding, technical support, and market access that can help teams scale with more confidence.

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.

Archived guide to AWS Summit Sao Paulo 2025, held on August 13 at the Sao Paulo Expo Center. For the current event page, use Elevata's latest AWS Summit Sao Paulo guide.

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.

Elevata is now an AWS Advanced Tier Partner, reinforcing our ability to help companies modernize on AWS with senior technical execution across migration, data, and generative AI.

Artificial intelligence has become one of the most transformative technologies in business, driven by better infrastructure, broader data availability, and a growing need for efficiency, automation, and innovation.

Checklist for secure cloud migration covering core risks, access controls, monitoring, compliance, and ongoing hardening. For an AWS-specific guide, see Elevata's secure cloud migration page.

Choosing whether to move to the cloud is a consequential decision. The cloud can improve flexibility, cost efficiency, and collaboration, but it also introduces risks that need to be weighed carefully.

As corporate environments become more distributed and remote work becomes standard, traditional perimeter-based security models are no longer enough. Zero Trust is emerging as a more resilient way to protect users, devices, and data.