What's new

How state and local governments are using generative AI to serve citizens better

This first part of the e-book explores four concrete ways WWT has helped agencies deploy generative AI solutions that streamline operations and free staff for higher-value work. The second part offers tips and guidance for how to get started with AI adoption at your agency.
eBook
•Feb 23, 2026

AWS AI Lab Nova Sonic and Bedrock

This lab deploys a real-time speech-to-speech support agent for fictional company AnyTelco, where a customer calls in for help. It uses Amazon Nova Sonic in Amazon Bedrock for natural conversation, with S3/CloudFront and Cognito for frontend/auth. A backend on ECS/NLB streams audio and invokes MCP tools (e.g., DynamoDB customer profiles, Bedrock knowledge bases). All infrastructure is provisioned via AWS CDK.
Foundations Lab
•96 launches

Shaping the Future of Public Sector Cloud: WWT at AWS Summit Washington, DC 2025

In this blog, we reflect on key insights from the Summit and share how WWT is helping public sector teams modernize with confidence. Whether through cloud optimization, AI readiness or strategic partnerships, our focus is on building strong foundations and long-term impact.
Blog
•Sep 3, 2025

Experience the Future: AI-Powered Browser Control at Your Fingertips!

Amazon's Nova-Act SDK: An Actionable AI Agent
Blog
•Apr 11, 2025

Partner POV | The generative AI advantage

A leader's guide to using your data as a differentiator
eBook
•Dec 5, 2024

Partner POV | Gain operational insights for NVIDIA GPU workloads using Amazon CloudWatch Container Insights

As machine learning models grow more advanced, they require extensive computing power to train efficiently. Many organizations are turning to GPU-accelerated Kubernetes clusters for both model training and online inference. However, properly monitoring GPU usage is critical for machine learning engineers and cluster administrators to understand model performance and to optimize infrastructure utilization.
Partner Contribution
•Dec 4, 2024

Deploying generative AI applications with NVIDIA NIMs on Amazon EKS

Amazon EKS is a managed service for running Kubernetes workloads on AWS. We can use EKS to orchestrate NVIDIA NIM (plural: NIMs) pods across multiple nodes, because it automatically manages the availability and scalability of the Kubernetes control plane nodes responsible for scheduling containers, managing application availability, storing cluster data, and other key tasks.
Partner Contribution
•Dec 3, 2024

Partner POV | Create a generative AI-based application builder assistant using Amazon Bedrock Agents

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant.
Partner Contribution
•Nov 21, 2024

Partner POV | How generative AI and data are redefining retail experiences

The retail and consumer goods landscape is shifting seismically, with digital transformation at its core. Retailers and consumer brands are at various stages of this digital journey, each seeking tailored solutions to propel their businesses forward.
Partner Contribution
•Nov 8, 2024

Navigating the Waters of GenAI with WWT & AWS

As an experienced guide, WWT can help enterprise organizations at every level of GenAI aptitude. Read on for use cases from WWT and AWS that showcase how to ride the wave of AI innovation toward rapid ROI and scalability.
Article
•Nov 4, 2024

Partner POV | Your AI is Only as Good as Your Data

Generative AI is undoubtedly one of the most transformative and disruptive technologies of our time. These powerful models can generate human-like text, images, code, and more in ways that seem almost miraculous. However, behind the awe-inspiring outputs lies an even more incredible foundation – the massive datasets and robust data operations required to make generative AI possible.
Partner Contribution
•Oct 31, 2024

Unveiling the True Potential of Cloud AI With AWS

This article explores the advantages of partnering with WWT to utilize AWS AI services. It highlights key factors—from significant efficiencies to important safeguards, and beyond‒to guide you on a rapid, cost-effective, and efficient path to a successful AI implementation.
Article
•Aug 16, 2024