Category: Artificial Intelligence

In modern manufacturing, the ability to quickly access critical information and use the expertise of experienced operators is essential for maintaining high productivity and quality, as well as minimizing costly machine downtime. However, as skilled workers retire or move on and the workforce landscape changes, manufacturers often face the challenge of preserving institutional knowledge and […]

Five years ago, growing your brand online meant fine-tuning keywords and vying for prime spots in search results. Now, the game has changed: AI platforms are transforming how shoppers discover products, get recommendations, and make decisions. Today, instead of typing “best running shoes,” consumers simply ask their favorite AI, “What running shoes should I buy?” […]

In this blog post, we will learn about how AUMOVIO used the services and expertise of Amazon Web Services (AWS) to develop an innovative automotive coding assistant on the domain of software-defined vehicles (SDV). AUMOVIO’s solution makes use of multiple AI models to accelerate different development lifecycle steps while helping to ensure alignment with automotive […]

re:Invent 2025 addressed a wide range of financial services challenges, from mission-critical infrastructure to customer experience transformation. Agentic AI took center stage with over 30 dedicated sessions, reflecting the industry’s adoption of AI agents in production environments. From Matt Garman’s (CEO, AWS) keynote featuring Nasdaq, Visa, and National Australia Bank (NAB’s) work with Amazon Bedrock […]

The U.S. banking industry is entering one of its most transformative periods. Rapid shifts in interest rates are reshaping margins, commercial real estate (CRE) exposures demand sharper insights, and regulators are raising the bar for speed and transparency. For banking leaders, these dynamics represent not just challenges to navigate, but opportunities to differentiate. In this […]

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 […]

It can be challenging to build a real-time agentic AI applications that interacts with AWS HealthLake datastores. This requires deep knowledge of fast healthcare interoperability resources (FHIR) operations and Amazon Web Services (AWS) SDK implementations. We’re excited to share an open-source Model Context Protocol (MCP) server. It streamlines healthcare data operations by providing natural language […]

Treating complex patients can be difficult. The ability to see how other patients with similar symptoms or conditions were treated and what their outcomes were can help clinicians better understand how to approach their own patients. Traditional search, however, falls short for nuanced clinical care scenarios (for example, post-Norwood arrhythmias responsive to alternative pacing). Clinicians […]

Have you ever wondered when a nurse draws blood from you or you deposit a urine sample, how the sample is handled from there? Typically, laboratory samples change hands multiple times before the actual testing occurs. Research also indicates that mislabeling, mishandling, and loss of specimens during surgical procedures occur frequently and over 73% of […]

As the energy landscape evolves toward a more distributed model, distributed energy resources (DERs) bring not only challenges, but also opportunities to different players in the energy market (utilities, legislators, aggregators, consumers, and service providers). We have planned a series of blogs discussing how different stakeholders can use Amazon Web Services (AWS) to make the […]