Remove Analytics Remove Automotive Remove Big data Remove Healthcare
article thumbnail

Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. As a baseline, we used the model that won our NFL Big Data Bowl competition on Kaggle.

article thumbnail

Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare. Limiting the available data sources to protect privacy negatively affects result accuracy and, ultimately, the quality of patient care.

article thumbnail

Microsoft Envision Conference: Digital Transformation #ENV16

Natalie Petouhof

Tweet Among the many stories at Microsoft Envision Conference were those around digital transformation.

article thumbnail

10 Examples of Human-Centered AI

SmartKarrot

AI revolutionizes the modern call center by delivering real-time feedback on customer reaction, predictive analytics to determine when intervention is required, and in-depth call data analysis to improve call matching and overall performance. Quicker advancements in healthcare. This has been possible with human AI.

article thumbnail

A 3-Step Formula for Consumer Trust in the AI Age

CSM Magazine

Such issues include collecting personal patient data without consent in healthcare or over-reliance on machine-led decisions without disclosure in banking and insurance. For more information, please visit www.ebi.ai.