Category: Amazon Machine Learning

Last month marked the inaugural, highly anticipated NRF 2024: Retail’s Big Show Asia Pacific. This retail-focused event unfolded over three action-packed days, from June 11 to 13, at the center of the world’s most diverse retail market. Over 5,000 attendees and 253 global industry leaders and solution providers, from across 52 countries, gathered in the […]

In the field of reservoir simulation, accurate modeling is paramount for understanding and predicting the behavior of subsurface flow through geological formations. However, the complexities involved in creating, implementing, and optimizing these models often pose significant challenges, even for experienced professionals. Fortunately, the integration of artificial intelligence (AI) and large language models (LLMs) offers a […]

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Introduction: Prompt engineering and advanced prompting are powerful techniques that allow users to guide and shape the behavior of large language models (LLMs). By crafting well-designed prompts, business users and analysts in financial services can leverage the knowledge […]

Today, AWS is excited to announce a collaboration with EvolutionaryScale to bring their new frontier language models for biology to scientists and researchers advancing applications from drug discovery to carbon capture, and more. With this announcement, we are making EvolutionaryScale’s ESM3, a frontier, state-of-the-art language model family, available on AWS. This collaboration brings the best […]

In the rapidly evolving field of bioinformatics, transitioning from on-prem high-performance computing (HPC) environments, like Slurm, to cloud-based solutions, like AWS HealthOmics, presents opportunities to reinvent for scale, speed, and cost. Jeff Lee is Associate Director of R&D Cloud Architecture at Takeda Pharmaceuticals, a patient-focused, R&D driven biopharmaceutical organization founded in 1781. In this blog post, […]

In the competitive field of industrial operations, minimizing downtime is crucial for financial success. The challenge lies in managing complex data spread across various systems within industrial environments. Quickly identifying and solving issues without advanced analytics can be difficult. Operators often spend time consulting manuals to diagnose problems and follow protocols. Automation can streamline this […]

Analyzing large-scale genomic variant data just got easier with the latest release of Amazon EMR and its integration with AWS HealthOmics. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, empowering researchers and data scientists to uncover valuable insights through Amazon Athena queries and now Amazon EMR jobs. While Amazon Athena excels […]

Introduction This blog post describes a feature in AWS HealthLake which allows direct integration with Amazon EventBridge. Additionally, this blog post will show how AWS HealthLake’s event-driven capabilities can be leveraged to track events at the FHIR resource levels, allowing you to address complex notifications and subscription scenarios with native AWS services. AWS HealthLake, a […]

In the high-stakes arena of manufacturing, where product quality can make or break market reputation, using visual intelligence effectively remains the linchpin of excellence. Visual intelligence, in this context, refers to the application of artificial intelligence (AI) precision to enhance visual quality inspection (VQI), seamlessly integrating visual data with operational metrics like overall equipment effectiveness […]

In this blog, you’ll discover how to harness the power of serverless computing to streamline genomics analysis workflows, enabling faster insights. By leveraging AWS Step Functions, AWS Lambda, and AWS HealthOmics, you can parallelize and modularize resource-intensive genomics pipelines. This approach enhances efficiency, scalability, and cost optimization, empowering businesses and researchers to accelerate time-to-insight. The […]