Category: Amazon Bedrock Guardrails

Across R&D organizations, AI agents are beginning to design molecules, plan syntheses, execute assays, and analyze experimental data. But these systems often operate without awareness of prior experiments, failed approaches, or parallel work happening across the organization. In this blog, learn how Sanofi recognized this limitation early and partnered with Amazon Web Services (AWS) to reimagine the foundation for AI-enabled discovery.

Retailers have always stubbed their toes on early technology adoption—from scanned product barcodes ringing up at the wrong price, to self-checkout lanes that created more shrink than savings, to ecommerce platforms that oversold products they couldn’t ship. But every time, the retailers who learned to master the technology, instead of abandoning it, were the ones who pulled ahead. AI agents are no different.

Agentic blockchain-based payments are poised to transform in-vehicle driving experiences. As vehicles become increasingly connected and autonomous, they are evolving from passive transportation tools into active economic agents capable of conducting their own financial transactions [see HBR Article, 2021]. Imagine your car automatically paying for highway tolls, electric charging sessions, parking fees, or even purchasing […]

Learn how to architect an end-to-end pipeline that processes surgical video at the edge for de-identification, instrument detection, and surgical phase recognition—while using the cloud for model training and fleet management.

In this post, we describe a comprehensive, HIPAA-ready generative AI architecture for healthcare on Amazon Web Services (AWS) using a defense-in-depth approach. By layering compliance controls at multiple distinct levels, this architecture creates a system where no single point of failure compromises patient data protection, and each component that touches ePHI is independently auditable.

Introduction In 2022 we published a blog entitled “Is your Enterprise Risk Management Framework ready for the Cloud?” that set out how and why Enterprise Risk Management Frameworks (ERMFs) needed to change to accommodate the adoption of Cloud technology. In the intervening three years, we have observed that those customers who are making the most […]

Introduction In working with insurance providers, we have observed a consistent challenge: making complex policy information accessible and understandable to customers across their preferred channels. When customers seek coverage details, they often encounter dense policy documents, generic chatbot interactions, or lengthy call wait times. These friction points create customer frustration, drive up operational costs, and […]

In an era of increasing digital transformation, electric utility providers are facing unprecedented challenges in meeting customer expectations for quick, efficient, and accessible service. Utility contact centers in particular face unique challenges in delivering effective customer service. Traditional Interactive Voice Response (IVR) systems can effectively handle direct, well-defined requests through touch-tone or basic voice commands, […]

In today’s fast-paced digital world, AUDI AG faces immense pressure to innovate rapidly. In 2023, the Audi Cloud Foundation Services (ACS) team, supported by Storm Reply, launched the first version of their generative AI chatbot solution. This solution was designed to reduce internal knowledge base retrieval time and improve employee productivity. For more details, see […]

Introduction Data Over Cable Service Interface Specification (DOCSIS®) is a critical technology standard in modern cable broadband networks, enabling cable operators to deliver high-speed internet, voice, and IP video services over existing hybrid fiber-coaxial (HFC) infrastructure. Published by CableLabs, DOCSIS technology supports hundreds of millions of residential and enterprise broadband customers globally. DOCSIS networks also […]