Machine Learning - eBook (EN)

Jumpstart innovation with machine learning (NVidia)

Issue link: https://read.uberflip.com/i/1444446

Contents of this Issue

Navigation

Page 3 of 12

The outcome Machine learning-powered intelligent document processing results in higher accuracy of data and faster data processing. It can also lead to higher customer satisfaction rates, providing more accurate information and helping companies respond to requests faster and more appropriately. Intelligent document processing boosts employee productivity, allowing workers to spend more time on business-critical tasks and less time wading through documents for insights and performing manual data entry. Automating document workflows reduces data extraction and analysis complexity, allowing organizations to dedicate less budget and focus less of their resources on these labor-intensive approaches. Customer success Nearly 90 percent of US radiologists operate at or over capacity, according to a Mayo Clinic study—and Rad AI wants to help lighten their workloads. The company trains machine learning models to read detailed documents for radiologists and automatically summarize results, which physicians use to identify patient ailments and devise treatment plans. Rad AI chose to migrate its document summary applications from older GPU-based Amazon Elastic Compute Cloud (Amazon EC2) instances to the latest Amazon EC2 P4d instances powered by NVIDIA A100 Tensor Core GPUs. By deploying its application on P4d instances, Rad AI improved its machine learning inference (the process of running live data points into a machine learning model) times by 40–50 percent, delivering faster, more accurate reports to radiologists and improving patient outcomes. Thomson Reuters is one of the world's most trusted providers of answers, with teams of experts who bring together information, innovation, and insights to unravel complex situations for organizations around the globe. Thomson Reuters has over 150 years of rich, human-annotated data on law, tax, news, and other segments, and in 2018, the company chose Amazon SageMaker to accelerate its research and development efforts. Since deploying Amazon SageMaker, Thomson Reuters has been able to take advantage of such advanced capabilities as on-the-fly answer generation, long text summarization, and fully interactive, conversational question answering. These capabilities enable Thomson Reuters to build comprehensive assistive AI systems that can guide users toward the best solution for all their information needs. 4

Articles in this issue

Links on this page

view archives of Machine Learning - eBook (EN) - Jumpstart innovation with machine learning (NVidia)