Category: Amazon SageMaker

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.

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 […]

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 […]

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 […]

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 […]

AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.

While artificial intelligence (AI) and generative AI remain a hotly debated topic, consumer goods companies seem to adopt these capabilities at lower rates. In a 2024 McKinsey global survey on AI, 71 percent of consumer goods leaders reported adopting AI for at least one business function. However, to gain a competitive advantage and unlock AI’s […]

Most practicing clinicians are not yet fully benefitting from the efficiency and diagnostic advances that medical imaging artificial intelligence (AI) promises. Additionally, many AI scientists and engineers struggle with the practical aspects of incorporating AI inferences in clinical workflows, and providing a consistent end-user experience when scaling to support millions of studies per year. Still, […]

The quest for hyper-personalization in telecom billing is here to stay Exceptional customer experiences are non-negotiable for building loyalty and driving revenue growth. However, the billing process remains a sore point that frustrates and alienates a significant portion of the customer base. Unclear or confusing bills erode trust, resulting in a contact center calls being […]

Organizations have been looking to modernize their legacy Building Management System (BMS) with data analytics and artificial intelligence/machine learning (AI/ML). Although they can help organizations achieve their sustainability goals, improve energy management, and other smart building capabilities, they can also turn into a substantial setback if the systems aren’t set up properly to use the […]