AWS for Industries
Category: Amazon SageMaker
Globalizing Smart Manufacturing’s Boundless Potential with AWS Outposts
Introduction: In today’s manufacturing landscape, organizations are integrating artificial intelligence (AI), machine learning (ML), data analytics, Internet of Things (IoT), and cloud computing. These technologies help improve efficiency, quality control, and innovation across various manufacturing processes. By using real-time data, predictive analytics, and automation, manufacturers can increase productivity and competitiveness in the global market. However, […]
How AWS supports Scuderia Ferrari HP to optimize Formula 1® power unit assembly process
In the high-stakes world of Formula 1 (F1), where victory is measured in milliseconds, innovation is vital for continued success. For decades, teams have pushed the boundaries of automotive engineering, constantly seeking that elusive competitive edge. The collaboration between Scuderia Ferrari HP and Amazon Web Services (AWS) is redefining the assembly process with data-driven manufacturing. […]
Enhancing Life Sciences Operations with Amazon SageMaker Canvas
The Life Sciences industry is experiencing significant growth, with the global laboratory supplies market projected to grow at a 7.5 percent compound annual growth rate from 2023 to 2030, according to Grand View Research. As organizations face increasing pressure to optimize operations, Amazon SageMaker Canvas offers capabilities to meet these challenges head-on. We’ll dive into […]
Yahoo DSP Ad Targeting Uses Amazon SageMaker To Reduce Operating Cost and Increase Audience Reach
Introduction and context Yahoo offers an omnichannel Demand-Side Platform (DSP) that gives advertisers top-notch technology, massive scale, access to premium supply, and trusted consumer relationships. Demand-side platforms are used in digital advertising to enable advertisers and agencies to purchase ad inventory from multiple ad exchanges and supply-side platforms (SSPs) through a single interface. Yahoo’s DSP […]
Amazon Pharmacy Improved Prescription Processing Time by 90% with Gen AI
Generative AI is becoming a central component of success in nearly every industry. We have the unique opportunity to see how different businesses within Amazon are using generative AI to create transformative customer experiences—with nearly 1,000 generative AI applications in motion inside Amazon. This blog post is the first in a series that will explore […]
No-Code ML Approach to Predict Heart Disease with Amazon SageMaker Canvas
Build accurate predictive models for early disease detection, as demonstrated through a heart disease prediction use case that transformed complex medical data into actionable insights without requiring coding expertise.
Examine genomic variation across populations with AWS
Understanding genomic variation across populations is critical for advancing precision medicine and evolutionary research, but analyzing large datasets can be complex and resource intensive. Amazon Web Services (AWS) provides scalable tools to simplify this process enabling efficient and insightful analysis across diverse genetic data. Introduction The 1000 Genomes Project is a landmark international research initiative […]
Life Sciences and Healthcare Predictive Analytics with Amazon SageMaker Canvas
Artificial intelligence and machine learning (AI/ML) are revolutionizing the Life Sciences and Healthcare industries, from drug discovery and development to patient care. These technologies help to understand disease biology, to accelerate therapeutic discoveries, to optimize resource allocation, and to reduce quality issues, potentially saving lives and reducing healthcare costs. However, building production-grade ML pipelines from […]
AstraZeneca fine-tunes genomics foundation models with Amazon SageMaker
Understanding the human genome is a massive undertaking. The compute power and tools needed alone are staggering, but could be worth untold discoveries. AstraZeneca’s Centre for Genomics Research (CGR) leads the company’s Genomic Initiative on a global scale, with the ambitious goal of analyzing up to two million genomes by 2026. Through this integrated analysis […]
Powering AI/ML with MDIO seismic streaming from the OSDU® Data Platform
Introduction Today, oil and gas operators are challenging their workforce to find more value from legacy data. Artificial Intelligence and Machine Learning (AI/ML) workflows powered by cloud-scale computing are unlocking new insights, but these technologies aren’t optimized for traditional SEG-Y data formats. The industry standard OSDU Data Platform tackles data initial discovery and access, but […]