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Data Integration Helps Agencies Deliver

GovLoop

But adopting an integrated, digital data platform can vastly improve how agencies do business and interact with the public. An integrated platform saves money, automates routine tasks, encourages collaboration, and allows state and local agencies to provide more personalized services.

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Empowering the public sector with secure, governed generative AI experimentation

AWS Public Sector

Cost-effective for experimenting – Pay per use, no licensing fees, and no upfront costs with access to high-performing foundation models (FMs) from leading AI companies such as: AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon using the Amazon Bedrock On-Demand Pricing model without any upfront licensing costs.

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Exploring Sole-Source Contracts: A Shortcut to Federal Success?

USFCR

The platforms unique algorithms and data integration capabilities made it irreplaceable for real-time battlefield analysis, addressing critical national security needs. This highlights how sole-source contracts can meet specialized demands that no other vendor can fulfill. Who Qualifies for Sole-Source Contracts?

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What is Cooperative Purchasing & How Does it Benefit Public Sector Procurement?

American City & Country

By pooling demand, public sector entities can benefit from bulk buying discounts and negotiated price reductions. Implementation: Become a member and start integrating cooperative purchasing into your procurement processes. Understanding these variations helps agencies choose the cooperative that best meets their needs.

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RTX’s Collins Aerospace to Upgrade Black Hawk Avionics for Army

WashngtonExec

The upgrade includes Mosarc, Collins’ Modular Open Systems Approach-compliant technology, designed to simplify integration and keep pace with evolving battlefield needs. By integrating Mosarc, Collins Aerospace aims to standardize avionics across the Armys current and future manned and unmanned aircraft. Mosarc will equip U.S.

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Using ArcGIS GeoAnalytics Engine on Amazon EMR to predict rideshare demand

AWS Public Sector

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.

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Building smarter, stronger communities with an AI-enhanced government workforce

American City & Country

In an era characterized by workforce shortages, limited budgets and escalating demands for rapid service delivery, government agencies are frequently hampered by antiquated technology infrastructures that AI-driven technologies are tactfully modernizing.