AWS Public Sector Blog
Category: HAQM SageMaker Canvas
Navigating financial turbulence: How Mid-Hudson Valley Federal Credit Union used AWS AI/ML to enhance forecasting and decision-making
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.
Discover how nonprofits can utilize no-code machine learning with HAQM SageMaker Canvas
In this post, we explore how HAQM 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.
Improve road safety by analyzing traffic patterns with no-code ML using HAQM SageMaker Canvas
To improve safety and convenience, transportation agencies amass a substantial volume of data. However, these organizations encounter challenges in data accuracy validation due to issues related to data quality and occasional missing information. With the incorporation of new artificial intelligence and machine learning capabilities from HAQM Web Services (AWS), they can take advantage of no-code solutions to identify and address data gaps.