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DOD Spreads 5G Technology Across the Country

FedTech Magazine

Imagine autonomous shuttle buses transporting military personnel around a base, or a smart warehouse using a distributed sensor network and robotics to track military vehicles. 5G, the fifth-generation wireless network, is expected to deliver much higher data speeds,…

Warehouse 276
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Singapore’s EVe harnesses the power of data with help from NTT DATA, AWS

AWS Public Sector

LTA has set up EV-Electric Charging Pte Ltd (EVe) to manage the deployment of up to 12,000 electric vehicle (EV) charging points distributed across 2,000 Housing Development Board (HDB) carparks. EVe’s transformation journey Since its inception, EVe recognized the pivotal role of data and has become a data-driven organization.

Data 84
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Announcing the 2023-2024 AWS IMAGINE Grant winners

AWS Public Sector

What’s exciting about these organizations is their purposeful adoption of technology and effective use of data, with the vision of maximizing their uniquely human capacities. CTrees supports action on climate change by providing accurate, science-based data on carbon in forests and trees globally. Minutes matter. Seconds matter.

Warehouse 132
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St. Louis University uses AWS to make big data accessible for researchers

AWS Public Sector

Louis University ‘s (SLU) Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems like homelessness and access to healthcare. Finding a reliable data supplier was relatively simple. Cleaning the data.

Data 81
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O-RAN – the Next Step for 5G

FedInsider

military forces and their partners can use in conflicts to integrating 5G capabilities to create “smart” warehouses to significant improvements in supply chain logistics, DoD has been committed to investing in rethinking the meaning and applications of communications. From creating secure private networks that U.S.

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Using ArcGIS GeoAnalytics Engine on Amazon EMR to predict rideshare demand

AWS Public Sector

A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this example use case, we explore rideshare data from Chicago. A deployment example can be found in the Big Data Analytics with Amazon EMR and Esri’s ArcGIS GeoAnalytics Engine blog post.

Demand 59
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How I got into SCM without even knowing it

Naomi Clews Consultancy

​​​ My job at HMV required me to benchmark data sets and other reference material to discover patterns, commonality or discrepancies to manually forecast future demand and factor in risk when calculating order quantities. ​ What is supply chain management?