Tag: Amazon Sagemaker

This post demonstrates how to enhance security and compliance in an isolated SageMaker JupyterLab environment by implementing two key customizations: configuring download restrictions and implementing secure Python package installation through AWS CodeArtifact.

Technical Safety BC (TSBC) regulates the safe installation and operation of technical systems (electrical, gas, boiler, elevator, etc.) in British Columbia. This post showcases how the TSBC built a machine learning operations (MLOps) solution using AWS to streamline production model training and management to process public safety inquiries more efficiently.

Mid-Hudson Valley Federal Credit Union (MHVFCU) needed to automate their tools and develop advanced forecasting capabilities to make informed decisions for deposit management and growth to maximize benefit for their members. For this purpose, MHVFCU leadership sought a solution that would not only save time in data preparation and analysis but also provide accurate forecasts for balances across four key deposit products: savings, checking, certificate deposits (CDs), and money market. Read this post to learn about the solution they built with AWS.

In this post, we explore how Amazon SageMaker Canvas can make machine learning accessible and actionable for nonprofit organizations. We highlight key features that allow your nonprofit to harness the power of machine learning without data science expertise or dedicated engineering teams.

Generative AI can automate tasks like code generation, testing, and documentation, but public sector customers must prioritize solutions that meet unique regulatory and operational requirements. Addressing these challenges with a secure and compliant generative AI solution can transform software development, helping organizations deliver projects on time while reducing costs. This post outlines the considerations and solutions to evaluate when selecting an AI coding solution.

Deloitte’s Resident Outreach solution (available in AWS Marketplace) enables state agencies to adapt their resident communications through the power of generative AI on AWS. In this post, we discuss how Deloitte empowers the four capabilities of Resident Outreach: Multi-Modal Completion of Applications & Renewals, Application Nudges, Correspondences, and Campaigns.

The US Department of Defense (DoD) increasingly relies on commercial efforts to adopt and integrate novel and emerging technologies that are critical for mission success. The modern defense landscape evolves rapidly, and industry collaboration is a key component of success. AWS has risen to the challenge to fulfill this commercial- and collaborative-focused approach to advancing military innovation. Most recently, AWS did so through its participation in the Technology Readiness Experimentation (T-REX) series of events with partner General Dynamics Information Technology (GDIT),

In this post, we walk through a step-by-step guide to building your own Retrieval Augmented Generation (RAG) solution on AWS, complete with open-source instructions and best practices. Learn how to harness the same technological foundations that power enterprise-grade proposal automation while maintaining security, compliance, and content quality.

In this blog post, we explore the AI for Teaching & Learning Framework on AWS, and discuss how it is addressing the evolving needs of higher education in the digital age.

In this post, we explore how AWS Ground Station public sector organizations with on-demand access to AWS-managed antennas that are available as shared or dedicated resources, scaling to the unique requirements of the mission. By adding resource capacity and redundancy with AWS-managed antenna systems, government customers can rapidly increase, differentiate, and distribute their ground segment capabilities. This enables a more flexible and resilient space architecture that can dynamically adapt to changing mission demands.