Browsing: Quick

Healthcare organizations want the same thing from AI that every other business wants: faster answers, less manual work, and insights that reach decision-makers in time to act on them. However, what makes the healthcare industry different is that the data is uniquely complex, deeply contextual, and strictly regulated. So this post starts with a few…

When enterprise data sits behind a corporate firewall or in a private on-premises data center, there’s no direct network path from AWS, even though the AI agents and dashboards in Amazon Quick can query virtually any dataata isn’t exposed to the public internet while being accessible for AI-driven insights and actions

Enterprise organizations are adopting Retrieval Augmented Generation (RAG) to unlock insights from company knowledge sources like Microsoft SharePoint, Google Drive, and Atlassian Confluence. However, these knowledge sources contain sensitive information governed by complex permission structures. Making sure that AI-generated answers respect those permissions is one of the hardest challenges in enterprise AI.

In Part 1 of this series, we covered the foundational principles of prompt engineering in Amazon Quick: specificity, context-setting, few-shot examples, and the CRISPE framework for complex requests. Those principles apply universally. In this post, we go component by component, showing you how each Quick capability interprets prompts differently and what patterns get the best…

Your teams get an AI assistant that handles real work while your data stays in your environment and your conversations stay private

The initial reactions to Apple’s new, foldable iPhone Duo seem to be largely positive, with a lot of praise for the various software tweaks that have been implemented in iOS 27 for the new form factor — including a cool transition animation that shows up when you switch between the inner and outer screens.

AI is changing the shape of the workday, and effective implementations quietly remove work, which can lead to meaningful time savings. According to a recent Gartner study, AI saves sellers nearly five hours a week. Email is often where that shift shows up first. As a company grows across teams and time zones, email grows…