Author: AI Generated Robotic Content

Cost management for generative AI is a shared responsibility between the teams that build applications and the teams accountable for cloud spend. Many teams start by comparing per-model token rates and asking application teams to shorten prompts. Those steps help, but they don’t answer the questions that finance and engineering leaders ask as usage scales: …

Read more “Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams”

The Amazon Quick User Group – United Kingdom is a community of Amazon Quick users in the United Kingdom who meet quarterly to exchange knowledge, share best practices, learn through hands-on sessions, and discuss their experiences using the service. These user groups function as collaborative forums where members learn, connect, and innovate together. Whether you’re …

Read more “How the UK Amazon Quick User Group grew in 2026”

If you’ve tried to get an agent into production, the model and tool use are not the blocker. The main bottleneck is everything around them: how many teams can build within a secure environment, which team owns each model and tool, how AgentOps and error handling stay inside a pre-defined boundary, and how platform, Workstream, …

Read more “Building an Agentic AI Platform on Amazon Bedrock AgentCore”

I’m proud to share that Amazon Web Services (AWS) has been named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) for Amazon Connect for the fourth consecutive year. We believe this recognition reflects years of work pushing on what’s possible in customer experience. When we launched Amazon Connect …

Read more “AWS named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service”