Accelerating industrialization of Machine Learning at BMW Group using the Machine Learning Operations (MLOps) solution

The BMW Group and Amazon Web Services (AWS) announced a strategic collaboration in 2020. The goal of that collaboration is to help further accelerate the BMW Group’s pace of innovation by placing data and analytics at the center of its Continue reading Accelerating industrialization of Machine Learning at BMW Group using the Machine Learning Operations (MLOps) solution

Enhance price capture in energy and commodity trading with AWS machine learning

In the energy and commodity trading industry, traders negotiate transactions with brokers and counterparties directly. These negotiated transactions are called over-the-counter (OTC) deals. Price discovery for OTC deals is unlike price discovery for common equity, options, and other financial instruments, Continue reading Enhance price capture in energy and commodity trading with AWS machine learning

Top-10 re:Invent 2023 Announcements Important for Healthcare and Life Sciences

Occasionally, new technologies emerge that fundamentally alter how businesses operate. But without the appropriate tools—controls, safeguards, and user experiences—the promise of new technologies can get stuck.  In the past year, many have been captivated by the potential of Generative AI Continue reading Top-10 re:Invent 2023 Announcements Important for Healthcare and Life Sciences

Multimodal Data Analysis with AWS Health and Machine Learning Services

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 Continue reading Multimodal Data Analysis with AWS Health and Machine Learning Services

Pfizer boosts bioreactor efficiency with AWS industrial edge services

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 Continue reading Pfizer boosts bioreactor efficiency with AWS industrial edge services

Using Generative AI, Amazon Bedrock and Amazon CodeGuru to Improve Code Quality and Security

Automated code analysis plays a key role in improving code quality and compliance. Amazon CodeGuru Reviewer provides automated recommendations that can assist developers in identifying defects and deviation from coding best practices. For instance, CodeGuru Security automatically flags potential security Continue reading Using Generative AI, Amazon Bedrock and Amazon CodeGuru to Improve Code Quality and Security

FSI Services Spotlight: Featuring Amazon Rekognition

Welcome to the Financial Services Industry (FSI) Service Spotlight monthly blog series. Each month, we look at five key considerations that FSI customers should focus on to help streamline cloud service approval for one particular service. Each of the five Continue reading FSI Services Spotlight: Featuring Amazon Rekognition

Data and Analytics environments at Merck KGaA, Darmstadt, Germany using AWS Services

Merck KGaA, Darmstadt, Germany, a leading science and technology company, operates across life science, healthcare, and electronics. More than 60,000 employees work to make a positive difference to millions of people’s lives every day by creating more joyful and sustainable Continue reading Data and Analytics environments at Merck KGaA, Darmstadt, Germany using AWS Services

Highlights from the AWS Life Sciences Executive Symposium 2023: Accelerating Pharma Drug Discovery with Machine Learning

On May 15, we hosted the AWS Life Sciences Executive Symposium in Boston, where I led our track on ‘accelerating pharma drug discovery with Machine Learning (ML)’. Over 300 life sciences executives from across 100 organizations attended this half-day, in-person Continue reading Highlights from the AWS Life Sciences Executive Symposium 2023: Accelerating Pharma Drug Discovery with Machine Learning