engblogs

Showcases a scalable, modular multi-agent video processing workflow built with Strands Agents, Meta’s Llama 4, and Amazon Bedrock, where specialized agents are wrapped as tools to coordinate frame extraction, visual analysis, temporal reasoning, and summarization across AWS services.

bunq's Finn, an in-house generative AI assistant built on Amazon Bedrock, uses an orchestrator-based multi-agent architecture and agent-as-tool pattern to automate 97% of support across 38 languages with a 47-second average response.

RaMP incentives on Google Cloud accelerate AI-ready migration and modernization by offering platform credits, partner funds, and advanced-workload bonuses for SAP, Oracle, VMware, and data analytics.

Analyzes how AI, LLMs, and multimodal models will reshape quantitative investment management in 2026, emphasizing productivity gains, workflow improvements, and disciplined deployment across research and operations.

A concise technical overview of Edu for Countries, detailing its architecture, country-specific customization, and deployment considerations.

A concise, technical guide outlining strategies to eliminate a country's capability overhang by aligning capabilities with policy goals, governance, and verification mechanisms.

An in-depth look at Google Cloud's Bangkok cloud region launch, detailing data residency, low latency, PDPA compliance, and AI capabilities (Gemini, Vertex AI) to enable compliant, scalable digital transformation for Thai enterprises.

A practical breakdown of Alchemist, a SAS-to-Databricks migration engine that automates analysis, transpilation, and post-migration validation to modernize enterprise data platforms.

Horizon 1000 presents a technical roadmap for advancing AI in primary healthcare, covering scalable model architectures, integration with clinical workflows, and deployment considerations to improve diagnostics and patient outcomes.

A concise guide to fostering a scalable Stargate community around an open-source project, covering governance, contribution workflows, and community tooling.

An enterprise-grade, practical blueprint for implementing and governing AI with a structured framework that aligns business goals, risk, ethics, and regulatory compliance across the data and ML lifecycle.

SlopCodeBench reframes AI coding benchmarks as multi-checkpoint experiments to quantify how iterative agent-driven changes degrade code quality over time and to guide the development of maintainable, debt-aware software.