Category: Amazon Machine Learning

Throughout 2023, we’ve witnessed an acceleration of innovation at the intersection of health and technology. And with this year’s AWS re:Invent right around the corner, industry and AWS leaders are preparing to share their cutting edge technologies, use cases, and breakthroughs fueled by integrated data strategies, machine learning, and generative AI. Running November 27 through […]

As the largest and most comprehensive Amazon Web Services (AWS) event, AWS re:Invent 2023 brings together the cloud computing community to connect, collaborate, and learn. With hundreds of sessions, workshops, and labs, it’s the perfect place for telco professionals to explore how AWS can help transform their business. re:Invent offers an unparalleled opportunity to learn […]

Retailers are always seeking new ways to enhance the customer experience and reduce friction during the shopping process. Generative AI has enabled innovations like a smart kiosk, a self-service platform that provides customers with a convenient and interactive way to shop. It enables customers to browse, purchase, and even receive personalized recommendations, all without the […]

A common refrain for retailers is, “I know generative AI [artificial intelligence] is going to impact our industry, but I’m not sure where to place my bets.” It’s clear the technology has far-ranging capabilities and potential, but where should retailers invest? Of course, the answer will vary for each retailer as each situation is unique, […]

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 […]

AWS HealthOmics is a HIPAA-eligible AWS service and provides fully-managed compute that helps customers process genomic, proteomic, and other varieties of -omic data securely and at scale in AWS. It supports common workflow definition languages—including WDL, Nextflow, and CWL—and secure access to data stored in Amazon S3 and AWS HealthOmics Storage. In this blog post, we cover […]

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 […]