article thumbnail

Novant Health’s Angela Yochem on changing the cost center mindset

CIO Business Intelligence

Nothing is designed, manufactured, and sold without a highly automated research process, highly automated digitized design process, highly automated sourcing and manufacturing process, highly automated distribution process, and so on. We have a device company that sells solutions directly to consumers and to corporate entities.

article thumbnail

Novant Health’s Angela Yochem on changing the cost center mindset

CIO Business Intelligence

Nothing is designed, manufactured, and sold without a highly automated research process, highly automated digitized design process, highly automated sourcing and manufacturing process, highly automated distribution process, and so on. We have a device company that sells solutions directly to consumers and to corporate entities.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Achieve competitive advantage in precision medicine with IBM and Amazon Omics

IBM Big Data Hub

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Most individual omics informatics tools and algorithms focus on solving a specific problem, which is usually part of a large project. clinical) using a range of machine learning models.

article thumbnail

Top 10 Key Features of BI Tools in 2020

FineReport

On the one hand, governments, Internet companies, and large enterprises attach great importance to informatization construction and require separate maintenance. Manufacturing industry dashboard made with FineReport. From the time being, this trend is quite obvious. Highway monitoring dashboard made with FineReport.

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. Prior to joining AWS, Dave spent 17 years in life sciences companies doing IT and informatics for research, development, and clinical manufacturing groups.