Category: Kinesis Data Streams

When government agencies choose Amazon Web Service (AWS) to store data, they choose to take advantage of inheriting the strictest security controls and standards. In addition, AWS services offer a unique opportunity to enhance networking and security approaches, ensuring safe and resilient data transfer mechanisms. This blog post provides guidance towards data sharing among government agencies, offering prescriptive approaches and best practices for implementing secure data exchange solutions using AWS services.

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

Education technology (EdTech) company GoGuardian announces the availability of a Go Client library for Amazon Kinesis Data Streams via open source. Go is a widely used language among developers for streaming applications that was previously not available for Amazon Kinesis Data Streams (Amazon KDS).