Category: Amazon SageMaker

This blog is co-authored by: Marc Osterland, Lisa Schneider, Adrian Wolny, and Vladislav Kim from Bayer AG, Pharmaceuticals The pharmaceutical industry is starting to adopt artificial intelligence (AI) foundation models (FMs) to enhance research and development workflows. Bayer Pharmaceuticals (a division of Bayer AG), a multinational pharmaceutical and agricultural company headquartered in Germany) wanted to […]

In an era where data drives financial innovation, BBVA, a global financial institution serving over 76 million customers across 25+ countries, partnered with AWS to revolutionize its data analytics capabilities. BBVA embarked on an ambitious three-year journey to transform its entire data analytics infrastructure. The Analytics, Data, AI (ADA) Global Data platform represents one of […]

This is the third post of a six-part series detailing how BBVA migrated its Analytics, Data, AI (ADA) platform to AWS. We’re sharing how BBVA partnered with AWS to onboard over 6,500 advanced users (including data scientists and data engineers) to a new machine learning platform based on Amazon SageMaker AI. Read the entire series: Part […]

This is the fourth post of a six-part series detailing how BBVA migrated its Analytics, Data, AI (ADA) platform to AWS. In this post, we explore how BBVA developed and implemented a comprehensive multi-layer security strategy to protect petabyte-scale financial data while enabling secure access for over 6,500 advanced users across their global operations. We’ll […]

Medical coding workflows in healthcare have become increasingly complex and resource-intensive, requiring specialized expertise to translate clinical documentation into standardized billable codes. For healthcare providers, revenue cycle management companies, and payers, extracting accurate coding information from vast amounts of clinical data, while maintaining compliance, is a daily operational challenge. Recognizing this critical need, GeBBs Healthcare […]

Healthcare organizations face a transformative moment where data modernization redefines patient care delivery. The healthcare industry’s adoption of AI marks a fundamental change in diagnosis, treatment planning, and patient outcomes. This evolution creates a future of precision medicine and personalized care accessible to everyone. According to Deloitte’s “2025 Global Health Care Executive Outlook”, 92 percent […]

Introduction: the fragmentation of smart homes today Today’s smart home landscape presents a complex challenge that directly impacts consumer adoption and satisfaction. With the average household now deploying more than a dozen connected devices, the market remains highly fragmented across multiple protocols, platforms, and manufacturers. Recent market analysis shows that this technological fragmentation stands as […]

In the era of digital health transformation, patient 360 has emerged as a cornerstone approach for modernizing healthcare services. Consolidating comprehensive patient information into a single, accessible format, across various healthcare providers and settings, enables healthcare professionals to make more informed decisions. It also streamlines care coordination and delivers more personalized patient journeys. NHS England […]

The field of meteorology has long relied on computational models to predict weather patterns. The advent of High-Performance Computing (HPC) and machine learning (ML) mean that these predictions have become more accurate and reliable. This post outlines the steps for deploying an HPC cluster for weather forecasting on the Amazon Web Services (AWS) Cloud. We […]

At NetoAI, we specialize in telecom AI and voice AI, solving the unique data and language challenges of the global telecommunications industry. Telecom networks produce massive, specialized, regulated datasets that generic AI and large language models (LLMs) cannot fully address. Developing and deploying a domain-specific, open-source LLM – a telecom large language model (LLM) for […]