Category: Amazon SageMaker

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 oil and gas industry, rig reports are essential for monitoring the performance and operations of drilling rigs. These reports contain a vast amount of unstructured data, including comments from rig personnel regarding rig activities such as drilling progress, equipment maintenance, process interruptions, and safety observations (Figure 1). In blog #1, we discussed a […]

As early adopters of artificial intelligence (AI), healthcare and life science organizations are among the most enthusiastic and advanced users of generative AI. The transformative technology has undergone a remarkable evolution in the past year, propelling innovations once considered science fiction into reality – with the potential to transform these industries and significantly improve patient outcomes […]

Introduction Seeq, a global leader in advanced analytics for process manufacturing industries, uses Amazon Web Services (AWS) to power its software-as-a-service (SaaS) platform for industrial time-series analytics. Seeq helps process experts, equipment experts, and data scientists perform advanced analytics for industry at scale. Drive your sustainability and operational excellence goals faster and more easily than […]

The NVIDIA BioNeMo framework accelerates drug discovery by giving researchers access to powerful foundation models (FMs) for biology. By integrating BioNeMo with Amazon SageMaker, researchers can develop cutting-edge AI solutions with the scalability, data security, and operational excellence they expect from AWS. Introduction Drug R&D is a long, costly, and risky process. On average, it […]

Healthcare organizations face immense challenges in gaining insights from the vast amounts of unstructured patient data they collect, since about 80% of medical data remains unstructured and unused after it is created (Kong, 2019, NIH). Clinical notes written by doctors and nurses are a prime example; they contain a wealth of information about patient conditions, […]

When beverage bottling company Coca-Cola Andina wanted to unlock better insights from its data to improve productivity, efficiency, and customer satisfaction, it realized that the cloud held the key to these benefits. So, the company migrated its entire on-premises data store to a newly created data lake on Amazon Web Services (AWS). Then, Coca-Cola Andina […]

The global sports betting market is growing rapidly, forecast to grow from USD $68.3B in 2022 to USD $117B by 2027, a compound annual growth rate of 14.3%. Sports betting operators provide an exciting form of entertainment for their patrons, combining knowledge of the game and associated statistics, with the possibility of winning big. Although […]

In the world of online betting & gaming companies often have vast quantities of data at their disposal, but can face challenges in harnessing that data with Artificial Intelligence and Machine Learning (AI & ML) to deliver business value. Small to midsize companies may find it especially difficult to utilize this data as they often […]

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 […]