Category: Amazon Athena

End-to-end scientific data management on the cloud is an area of increasing interest, as life sciences companies aim to increase the utility of their data. Research, development, and manufacturing teams need a holistic set of controls for the scientific data lifecycle. These controls include data integrity, metadata tracking, lineage, permissions, and security, while simultaneously allowing […]

Generative AI, large language models (LLMs), and an ever-increasing emphasis on the value of data, has enterprises worldwide scrambling to optimize their data architecture and assets. This is in anticipation of a never-before-seen demand. Many organizations have solely focused on pulling all their data assets into one place with little consideration of the support required […]

Datalex, a leading provider of omni channel airline retail solutions, has worked with Amazon Web Services (AWS) as both a customer and an AWS Travel and Hospitality Competency Partner. As the Datalex team learned more about the transformative benefits of generative artificial intelligence (AI), they began investigating how to use Amazon Bedrock to enhance the […]

Telecom networks generate voluminous fault, configuration, accounting, performance, and security (FCAPS) data. Communication Service Providers (CSPs) are looking at ways to use this data efficiently to improve the network health, as well as reduce Mean Time to Detect (MTTD), and Mean Time to Resolve (MTTR). They want to increase the service uptime, reduce spectrum interference, […]

Remote vehicle diagnostics is the ability to remotely detect and diagnose vehicle malfunctions. Connected mobility and improvements in On-Board Diagnostics (OBD) have made it possible to remotely diagnose vehicle malfunctions. Prior to connected vehicles the repair process was reactive. Service centers had little insight into vehicle malfunctions until they were brought in and inspected. Service […]

Programmatic advertising applications leverage large volumes of data (petabyte scale) to make decisions on delivering personalized experiences to users. Organizations need to have a granular visibility into their data transfer cost to make better decisions on the bidding process and leverage cost optimized design patterns. Amazon Web Services (AWS) offers different tools and techniques to […]

In this blog, we show how you can leverage AWS purpose-built health care and life sciences (HCLS), machine learning (ML), and analytics services to simplify storage and analysis across genomic, health records, and medical imaging data for precision health use cases. The included reference architecture is built on AWS HealthOmics, AWS HealthImaging, and AWS HealthLake services which enable you […]

Real-time Bidding (RTB) has transformed online advertising by automating ad transactions through auctions, enhancing efficiency and precision. However, RTB faces challenges like transparency issues and ad fraud risks. Using Databricks on Amazon Web Services (AWS) addresses these challenges with the Databricks Real-time Bidding Accelerator, which leverages machine learning and predictive analytics to optimize RTB strategies, […]

One of the biggest challenges faced by online retailers is shopping cart abandonment, where customers add items to their shopping carts but ultimately leave the website without making a purchase. To overcome this hurdle and optimize sales opportunities, businesses must prioritize the implementation of efficient customer notification and insight strategies. These strategies play a vital […]

Large language models (LLMs) are revolutionizing the way we interact with technology, and AWS HealthLake is no exception. HealthLake is a secure, HIPAA-eligible data lake that allows healthcare organizations to store, transform, and analyze their health data at scale. By combining HealthLake with an LLM, healthcare providers can interact conversationally with their data, gaining insights and making decisions […]