Category: Amazon SageMaker

Introduction Recognizing the transformative potential of generative AI, Fanatics Commerce, a global leader in licensed sports merchandise, organized a global generative AI–based hackathon. This initiative not only accelerated the adoption of cutting-edge AI technologies, but also fostered an agile, knowledge-sharing environment. With its tech-driven, multi-channel approach, Fanatics has revolutionized how fans purchase team sports apparel, […]

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 […]

To plan wireless networks effectively, Communication Service Providers (CSPs) must analyze the viability of potential cell sites. This includes identifying potential facilities, obstructions, sources of interference, etc. Traditionally, capturing this information required a truck roll, which can be expensive, especially at scale. Harnessing the power of Machine Learning (ML) and computer vision to analyze site […]

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 […]