Remove Informatics Remove Machine Learning Remove Testing
article thumbnail

Bio digital twins and the future of health innovation

CIO Business Intelligence

Using these models, healthcare providers can test drugs and therapies with unprecedented speed and accuracy, reducing risks for both patients and physicians. The promise of bio digital twin technology The groundbreaking work underway in the development of bio digital twin technology holds immense promise in both saving and enriching lives.

article thumbnail

How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future.

Insurance 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Jupyter notebook As part of the solution launch, we deploy a preconfigured Jupyter notebook to help test the cross-Regional Dask solution. Chakra Nagarajan is a Principal Machine Learning Prototyping SA with 21 years of experience in machine learning, big data, and high-performance computing.

article thumbnail

How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. This resulted in engineers choosing various versions of distro, some of which hadn’t been tested with our internal tools. Their costs were climbing.