Category: Amazon SageMaker

The retail industry is facing numerous challenges in today’s dynamic landscape that are forcing them to rethink their strategies. Retailers must keep up with technological advancements, such as generative AI, artificial intelligence and machine learning (AI/ML) and ecommerce platforms, to remain competitive to retain customers and market share. Retailers face intense competition from both traditional […]

In this blog, we show how you can leverage AWS purpose-built health care and life sciences (HCLS), machine learning (ML), and analytics services to simplify storage and analysis across genomic, health records, and medical imaging data for precision health use cases. The included reference architecture is built on AWS HealthOmics, AWS HealthImaging, and AWS HealthLake services which enable you […]

Pfizer, one of the world’s premier biopharmaceutical companies, uses machine learning (ML) and artificial intelligence (AI) for near-real-time monitoring of mammalian cell culture bioreactors to boost batch yield and reduce the risk of contamination. Using Amazon Web Services (AWS), the company developed Manufacturing Intelligence Edge (MI Edge), a platform that uses AI and ML for […]

Bank CFOs are transforming their finance functions from both an operations and technology perspective, innovating to simplify their organisational model, increase efficiency and deepen the insight they provide to stakeholders. Cloud technology is enabling these changes by providing a new set of tools to solve some of the enduring business challenges that they face. In […]

Energy companies operate sophisticated technical infrastructure with complex requirements, and they need to share data securely across application and company boundaries. These companies are increasingly focused on achieving agile operations, responding rapidly to change, and developing new solutions in an evolving business context, including energy transition. However, conventional approaches to data sharing are often cumbersome, […]

Product quality control and surface defect detection in manufacturing is very important for overall product cost reduction and customer satisfaction. Simply relying on humans to visually inspect products is unsatisfactory and does not scale; today’s computer vision models require vast amounts of images data for detection of surface area defects. In today’s smart manufacturing ecosystem, […]

Half of surveyed telcos plan to integrate generative AI in the next two years and expect to increase spending by as much as six times. It’s no illusion: generative AI is everywhere. And here at AWS, we believe it’ll have a profound impact across all industries. Generative AI is the next wave of widespread adoption […]

In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]

In an era dominated by ecommerce and digital shopping trends, the traditional brick-and-mortar retail store stands at a crossroads. The rise of online shopping has redefined consumer expectations, prompting retailers to seek innovative strategies to revitalize in-store experiences. Amid this landscape, generative artificial intelligence (AI) emerges as a groundbreaking technology with the potential to reinvigorate […]

Large language models (LLMs) are revolutionizing the way we interact with technology, and AWS HealthLake is no exception. HealthLake is a secure, HIPAA-eligible data lake that allows healthcare organizations to store, transform, and analyze their health data at scale. By combining HealthLake with an LLM, healthcare providers can interact conversationally with their data, gaining insights and making decisions […]