Elevata

Insights & analysis

Cloud, data, and AI in practice.

Technical articles, architecture analysis, and perspectives on AWS, data platforms, and generative AI for technology leaders.

Recent activity

Insight

4/16/2026

3 min read

Claude Opus 4.7 on Amazon Bedrock Is Not a Drop-In Upgrade

AWS added Claude Opus 4.7 to Amazon Bedrock on April 16, 2026. For Bedrock teams, this is a migration, not a routine model swap: the model, inference layer, tokenization, and runtime behavior all shifted.

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Insight

4/8/2026

6 min read

NVIDIA GTC 2026: What Actually Matters for AI Teams Building on AWS

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.

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Insight

2/2/2026

7 min read

No-Code Generative AI: Building Automation Agents with Quick Flows and Quick Automate

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 […]

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Insight

2/2/2026

8 min read

The Cloud Paradox: Why Your Multi-Million Dollar Cloud Strategy Still Looks Like an Old School Data Center

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 […]

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Insight

2/2/2026

7 min read

The Architecture of Autonomy: Why Your App Platform Can’t Handle Frontier Agents

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 […]

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