Tag: Amazon EKS

Efficiently addressing internal customer support tickets can profoundly impact an organization’s productivity and employee well-being, apart from their ability to focus on the mission at hand. To meet these demands, many nonprofits, such as Thorn, are turning to innovative technology solutions. In this post, we explore how Thorn used Amazon Web Services (AWS) in conjunction with generative artificial intelligence (AI) to revolutionize their internal customer support for organization-wide IT, security, and engineering.

Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.

Editorial Médica Panamericana is a leading biomedical publisher with more than 2,500 titles across 23 Spanish-speaking countries. Their 25,000-plus authors have developed trusted and world-class content for more than 70 years. Médica Panamericana, in partnership with BinPar, is constantly innovating to provide its readers the best possible experience. For example, Médica Panamericana recently applied generative artificial intelligence (AI) from Amazon Web Services (AWS) to its exam preparation resource, PROMIR. Read this post to learn more.

Cognitive Space is a leading Amazon Web Services (AWS) Partner delivering intelligent automation to satellite constellation operations using the CNTIENT platform. The system uses AWS-powered artificial intelligence (AI) decision making to handle highly complex and dynamic satellite tasking requirements, and demanding mission requirements. This blog post provides technical guidance for building and operating mission operation centers (MOCs) on AWS.

ASTERRA, an Israel-based geospatial and Earth observation company, uses Amazon Web Services (AWS) to help water utilities and a number of industries identify and mitigate pipeline leaks. ASTERRA uses AWS to derive intelligence and insights from beneath the surface of their largest installations and to bypass the need to break ground and dig for leaks. Read this post to learn how AWS has helped ASTERRA overcome traditional on-premises infrastructure limitations and to accelerate the development of solutions for anticipating and mitigating failures, saving water, energy, and avoiding carbon dioxide (CO2) emissions as a result.

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Icometrix is a healthcare technology company that supports neurologists in making the correct diagnosis and prognosis for several brain diseases. Hundreds of clinical practices employ icometrix’s artificial intelligence (AI) imaging solutions, powered by Amazon Web Services (AWS), to aid in detecting and treating diseases such as multiple sclerosis and Alzheimer’s.

Read this blog post to learn how the World Bank assesses road infrastructure faster and at less cost by using Alteia data analytics powered by Amazon Web Services (AWS), geospatial imagery, and satellite imagery available on the Registry of Open Data on AWS.

Many public sector customers are interested in building secure, cost-effective, reliable, and highly performant applications. Technologies like containerization and serverless help customers migrate and modernize their applications. In this blog post, learn how public sector customers use offerings from AWS like AWS Lambda, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS) to build modern applications supporting diverse use cases, including those driven by machine learning (ML) and generative artificial intelligence (AI). If you want to learn more on this topic, please register to attend the webinar series, Build Modern Applications on AWS.

Earlier this year, Eurostat, the statistical office of the European Union (EU), hosted the fourth edition of the European Big Data Hackathon on AWS. During this year’s event, participants were tasked with developing data analytics tools to build an early warning system using data from credit card transactions to alert of sudden changes in the economy relevant for EU policymakers. Learn how Eurostat leveraged the flexibility and scalability of AWS to allow 24 teams across Europe to compete and build a viable early warning system over four days.