AWS Public Sector Blog

Tag: Machine Learning

AWS branded background design with text overlay that says "The Mercatus Center solves unstructured data challenges using generative AI from AWS"

The Mercatus Center solves unstructured data challenges using generative AI from AWS

Seeking to make access to economic policy documents easier, the Mercatus Center — a university-based research center affiliated with George Mason University — created a generative artificial intelligence (AI) solution. Mercatus developed a platform, QuantGov, with assistance from Amazon Web Services (AWS) resources, including Amazon Bedrock, AWS Lambda, AWS API Gateway, and AWS RDS. Accessible through an interactive AI assistant, the platform provides scalable, accurate, and no-cost access to a treasure trove of data, helping policymakers craft informed public policy that will positively impact people’s lives.

AWS branded background design with text overlay that says "Continuous monitoring and governance: AWS best practices for keeping your data secure during the holidays"

Continuous monitoring and governance: AWS best practices for keeping your data secure during the holidays

As we look ahead to 2025, it’s crucial to maintain vigilance, especially during the holiday season, when cybersecurity risks tend to escalate. Many organizations use Amazon Web Services (AWS) to enhance their security posture and improve resilience. In this post, we discuss the AWS best practices for securing your data during the holiday season.

AWS branded background design with text overlay that says "Reimagining unemployment contact centers"

Reimagining unemployment contact centers

Benefit programs like unemployment insurance are complicated and time-sensitive with weekly eligibility requirements. As a result, contact centers routinely experience high call volume that increases exponentially during economic downturns. Yet for many constituents, contact centers are the only lifeline to get the answers they need while looking for work. More than ever, agencies can benefit from AI and automation to reduce call volume, improve self-service, and empower staff productivity—not just to maintain service levels during low unemployment, but to scale and rise to the occasion of unexpected surges in demand.

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39 new or updated datasets available on the Registry of Open Data on AWS

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Through this program, customers are making over 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This quarter, AWS released 39 new or updated datasets.

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AWS Tech Alliance boosts cloud skills and tech jobs across German industries

Since its launch in 2023, the Amazon Web Services (AWS) Skills to Jobs Tech Alliance has been joined by more than 650 employers and more than 970 educatio­­­nal institutions, and has engaged more than 53,000 learners with employers across 11 countries. Germany is renowned for its engineering innovation and industry strength in sectors such as automotive, manufacturing, chemicals, and pharmaceuticals, and this post highlights the contributions the Tech Alliance is making in the country.

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AWS announces Satellite Resiliency for AWS Outposts

Satellite Resiliency for AWS Outposts offers a comprehensive, Partner-managed solution for resilient cloud-connected edge computing that extends the reach of Amazon Web Services (AWS) to the most remote and geographically dispersed environments on earth. AWS Outposts typically run connected to a parent AWS Region for resource management, access control, and software updates. When terrestrial network connectivity between an Outpost and its parent AWS Region is unavailable, this solution routes traffic back to the parent Region over a Low Earth Orbit (LEO) satellite connection, supporting business continuity and data residency requirements.

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How national security and defence missions protect data with Trusted Secure Enclaves on AWS

From training to supporting the front line, Amazon Web Services (AWS) can provide solutions to help solve the challenges that formations, units, and allies face. More than just providing computer and storage capability in the cloud, AWS can help intelligence, planning and operations teams leverage newer, cost-effective artificial intelligence (AI) and machine learning (ML), analytics, simulations, and other technologies.

AWS branded background design with text overlay that says "New survey: Public sector poised for generative AI revolution"

New survey: Public sector poised for generative AI revolution

A recent study by Amazon Web Services and Market Connections reveals that 89 percent of public sector leaders consider adopting generative AI important for their organizations, with 43 percent interested in using it to improve operational efficiency. As generative AI reshapes public services, AWS offers comprehensive support and resources, including a $50 million initiative, to help organizations navigate adoption challenges and accelerate innovation in support of critical missions.

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AWS collaborates with Malaysia Ministry of Higher Education’s JPPKK to build next-generation AI workforce

Generative artificial intelligence (AI) has revolutionized how we work and is reshaping the workforce of the future. However, a recent study conducted by Access Partnership for AWS revealed that 81 percent of Malaysia’s employers struggle to find the AI talent they need, despite nine in 10 stating that hiring AI-skilled talent is a priority for them. To address the nation’s AI skills gap, AWS and Jabatan Pendidikan Politeknik & Kolej Komuni (JPPKK), an agency under Malaysia’s Ministry of Higher Education (MOHE), teamed up to introduce new training initiatives targeting both educators and students to uplift Malaysia’s TVET (technical and vocational education and training) community.

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Using ArcGIS GeoAnalytics Engine on Amazon EMR to predict rideshare demand

Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.