AWS Yetkinlik Programı

AppFolio, a real estate management software provider, sought to enhance efficiency by building a generative artificial intelligence (AI)-powered application to improve resident communication. To achieve this, AppFolio collaborated with AWS Partner Datadog to leverage the partner’s LLM (large language model) Observability product along with foundation models from Amazon Web Services (AWS). Using Datadog's capabilities, AppFolio was able to troubleshoot, monitor, and improve the performance and quality of its LLM application, Realm-X Messages. The implementation reduced application latency significantly, boosting service adoption by nearly 300 percent, and it improved user experience by helping customers more easily sort through, act on, and respond to messages.

The mission of the United States Navy Reserve is to provide strategic depth and deliver operational capabilities to the Navy and Marine Corps team and Joint forces in times of peace or war. Warfighting readiness is the top priority for the Navy Reserve and is achieved through continuous training of Reservists in their wartime roles; by constantly improving mass-mobilization processes and procedures; and by ensuring the timely dissemination of accurate information. In support of this mission, the Navy Reserve turned its focus to generative AI technologies and worked with AWS Partner CACI to build a mobile Q&A chatbot to provide Reservists with greater access to, and targeted search capabilities within, important policies and guidelines.

In concert with AWS, CACI built the Navy Reserve's chatbot in four months, relying on AWS services including Amazon Kendra and Amazon SageMaker to reduce development time. The chatbot aids Reservists in accessing critical information quickly and more easily empowering them and reducing the need for support calls to their command.

The UK’s Met Office does more than forecast weather on Earth—it does the same for space. This is because space weather events can have significant consequences for GPS, power networks, and other critical infrastructure. The office needs to work closely with forecasting centers in the US and Australia, and with academic partners. Migrating its mix of on-premises and hosted servers to Amazon Web Services (AWS) made it easier for these partners to access Met Office test environments and data. The migration was made possible with the help of AWS Partner BJSS. The service also provides high levels of resilience—critical for a system that must operate in times of crisis.

Stop Soldier Suicide is a nonprofit organization striving to solve the issue of suicide among US veterans and service members. Because it wanted to understand its data better to gain new insights, the organization worked with AWS Partner Pariveda to implement the Suicide Intelligence Platform (SIP), which ingests forensic device data, integrates it with health cloud data, and stores it in an AWS-based data lake. Using the SIP solution, Stop Soldier Suicide can ingest and enrich data from multiple sources to better predict the risk of veteran suicide and help clinicians mitigate that risk. As a result, Stop Soldier Suicide can support its mission of reducing the military suicide rate by 40 percent by 2030.

AWS Partner Arq Group (now part of NCS Australia) worked with Melbourne Water to create a digital twin solution on AWS in three months, helping Melbourne Water predict water quality issues and giving customers the opportunity to be proactive about water shortages. The digital twin pilot is based on AWS services.