Intelligent rig operations classification with HITL on AWS

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, Continue reading Intelligent rig operations classification with HITL on AWS

Transforming Patient Care: Generative AI Innovations in Healthcare and Life Sciences (Part 1)

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 Continue reading Transforming Patient Care: Generative AI Innovations in Healthcare and Life Sciences (Part 1)

Import custom models in Amazon Bedrock (preview)

With Amazon Bedrock, you have access to a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies that make it easier to build and scale generative AI applications. Some of these models provide publicly available weights that Continue reading Import custom models in Amazon Bedrock (preview)

Seeq and AspenTech accelerate self-service industrial analytics on AWS

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 Continue reading Seeq and AspenTech accelerate self-service industrial analytics on AWS

Find the Next Blockbuster with NVIDIA BioNeMo Framework on Amazon SageMaker

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 Continue reading Find the Next Blockbuster with NVIDIA BioNeMo Framework on Amazon SageMaker

Coca-Cola Andina Boosts Operational Visibility with Thanos on AWS

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 Continue reading Coca-Cola Andina Boosts Operational Visibility with Thanos on AWS

Train responsible gaming inference models for sports betting with Amazon SageMaker

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, Continue reading Train responsible gaming inference models for sports betting with Amazon SageMaker

AWS Weekly Roundup—Amazon Route53, Amazon EventBridge, Amazon SageMaker, and more – January 15, 2024

We are in January, the start of a new year, and I imagine many of you have made a new year resolution to learn something new. If you want to learn something new and get a free Amazon Web Services Continue reading AWS Weekly Roundup—Amazon Route53, Amazon EventBridge, Amazon SageMaker, and more – January 15, 2024

How Datalex enhances developer experience using Amazon Bedrock

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 Continue reading How Datalex enhances developer experience using Amazon Bedrock

AWS re:Invent 2023 – Top 10 Announcements and more for the Energy Industry

Another successful re:Invent is in the books. Attendees from across the globe gathered in Las Vegas November 27-December 1 for re:Invent 2023 where they heard from AWS experts, customers and partners on how cloud technologies are reinventing industries. With over Continue reading AWS re:Invent 2023 – Top 10 Announcements and more for the Energy Industry

AWS re:Invent recap: A transformative year for travel and hospitality

AWS re:Invent 2023 made history for travel and hospitality at Amazon Web Services (AWS). AWS launched over 100 new services, features, instances, and AWS Region expansions. Many of these technological advances will help the travel and hospitality (T&H) industry enhance Continue reading AWS re:Invent recap: A transformative year for travel and hospitality

AWS for Telecom demos at AWS re:Invent 2023 Industry Pavilion

In today’s rapidly evolving digital landscape, the intersection of cloud computing, generative artificial intelligence (AI), machine learning (ML), and 5G technology provides communication service providers (CSPs) with fresh revenue streams and the opportunity to attract and retain new customers. Through Continue reading AWS for Telecom demos at AWS re:Invent 2023 Industry Pavilion

The critical role of omnichannel customer loyalty in modern retail success

Building and maintaining a loyal customer base is critical to the long-term success of retail. This is especially true in today’s multichannel digital shopping space that now even includes hybrid brick-and-mortar “smart stores.” Retail predictions recently released in a worldwide Continue reading The critical role of omnichannel customer loyalty in modern retail success

Enhance price capture in energy and commodity trading with AWS machine learning

In the energy and commodity trading industry, traders negotiate transactions with brokers and counterparties directly. These negotiated transactions are called over-the-counter (OTC) deals. Price discovery for OTC deals is unlike price discovery for common equity, options, and other financial instruments, Continue reading Enhance price capture in energy and commodity trading with AWS machine learning

Accelerating Drug Discovery with high-throughput Cell Painting on AWS

Are you facing challenges in cell image processing? Let’s dive into how life sciences customers have transformed cell analysis using AWS’s Cell Painting Batch solution. Introduction ShareTweetPostPin It!

Package and deploy models faster with new tools and guided workflows in Amazon SageMaker

I’m happy to share that Amazon SageMaker now comes with an improved model deployment experience to help you deploy traditional machine learning (ML) models and foundation models (FMs) faster. As a data scientist or ML practitioner, you can now use Continue reading Package and deploy models faster with new tools and guided workflows in Amazon SageMaker

Amazon SageMaker adds new inference capabilities to help reduce foundation model deployment costs and latency

Today, we are announcing new Amazon SageMaker inference capabilities that can help you optimize deployment costs and reduce latency. With the new inference capabilities, you can deploy one or more foundation models (FMs) on the same SageMaker endpoint and control Continue reading Amazon SageMaker adds new inference capabilities to help reduce foundation model deployment costs and latency

Amazon SageMaker Clarify makes it easier to evaluate and select foundation models (preview)

I’m happy to share that Amazon SageMaker Clarify now supports foundation model (FM) evaluation (preview). As a data scientist or machine learning (ML) engineer, you can now use SageMaker Clarify to evaluate, compare, and select FMs in minutes based on Continue reading Amazon SageMaker Clarify makes it easier to evaluate and select foundation models (preview)

Introducing Amazon SageMaker HyperPod, a purpose-built infrastructure for distributed training at scale

Today, we are introducing Amazon SageMaker HyperPod, which helps reducing time to train foundation models (FMs) by providing a purpose-built infrastructure for distributed training at scale. You can now use SageMaker HyperPod to train FMs for weeks or even months Continue reading Introducing Amazon SageMaker HyperPod, a purpose-built infrastructure for distributed training at scale

Fidelity International improves customer experience using Amazon SageMaker

Many companies want to actively use advance analytics to bring operational efficiencies and improve the customer experience. Automating and migrating to the cloud machine learning operations (MLOps) techniques can provide streamlined machine learning (ML), improved data processing, and enhance operational Continue reading Fidelity International improves customer experience using Amazon SageMaker