User experience (UX) testing faces multiple challenges that limit an organization’s ability to improve how users interact with their platforms. UX testing evaluates how easily and effectively users can navigate […]
Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis Read More »
This post was written by Konstantin Lekh, Sasha Zinchuk, and Eugene Sergueev from Flo Health, and Liza (Elizaveta) Zinovyeva from AWS. In this post, we share how Flo Health’s engineering
Scaling medical content review at Flo Health with Amazon Bedrock – Part 2 Read More »
Healthcare organizations need efficient scheduling solutions, and ScienceSoft’s AI voice assistant, powered by Amazon Nova Sonic and Amazon Bedrock Guardrails, shows how responsible AI can deliver that. The AI patient
ScienceSoft’s HIPAA-compliant AI voice scheduler built on AWS Read More »
Google Images is turning 25. Here’s a look back at some major milestones — and new ways to explore and create visual content.
Celebrating 25 years of visual search innovation Read More »
Build with the smartest family of models from OpenAI yet, on Amazon Bedrock’s next-generation inference engine. Organizations scaling autonomous agents and AI-powered products need frontier intelligence that performs reliably across
OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock Read More »
AI as accessibility: what happened when a neurodivergent solutions architect stopped fighting his brain and started building. In this post, I share how AI serves as an accessibility tool for
When your brain works differently, AI isn’t a luxury—it’s accessibility Read More »
This post is co-written with Vijay Venkatesh, CTO at Bluesight. If you build software for hospitals, you know that compliance work scales poorly. Hospitals managing 340B Drug Pricing Program compliance
Building an agentic AI solution at Bluesight with Amazon Bedrock Read More »
When you deploy generative AI agents into multi-tenant production architectures, you face a specific identity problem: when an agent calls a downstream API on behalf of a user, whose identity
Deploying generative AI models to production requires finding the right combination of instance type, serving container with settings, and optimization strategy. This process typically requires a long iteration cycle of
Launching UI for generative AI inference recommendations in Amazon SageMaker AI Read More »
Model customization transforms general-purpose AI models into specialized enterprise assets. By fine-tuning foundation models (FMs) on domain-specific data, businesses teach AI their unique workflows, terminology, and deep domain specialization, along
