Remove Accountability Remove APIs Remove Healthcare Remove Personalization
article thumbnail

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Customer context Philips uses AI in various domains, such as imaging, diagnostics, therapy, personal health, and connected care.

article thumbnail

Making Businesses Better: Introducing New VirtualPBX Case Studies

VirtualPBX

Whether it’s a flooring manufacturer, a financial services firm, or a digital healthcare solutions company, a reliable and feature-rich communication system is vital to streamline operations and boost customer satisfaction. We liked the personalized training that came with it. The solution? VirtualPBX.

Insiders

Sign Up for our Newsletter

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

article thumbnail

What is Call Center Compliance?

NobelBiz

call centers that handle patient information on behalf of healthcare providers and organizations are obligated to comply with the Health Insurance Portability and Accountability Act (HIPAA) that sets standards for the security and privacy of sensitive patient health information. HIPAA Regulations: In the U.S.,

article thumbnail

Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. This can deter a bad actor using social media pictures of another person to open fraudulent bank accounts.

APIs 76
article thumbnail

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents. Extract default entities with the Amazon Comprehend DetectEntities API. The response from the DetectEntities API includes the default entities. Extraction phase.

article thumbnail

Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

AWS Machine Learning

Although each mortgage application may be unique, we took into account some of the most common documents that are included in a mortgage application, such as the Unified Residential Loan Application (URLA-1003) form, 1099 forms, and mortgage note. For specialized documents such as ID documents, Amazon Textract provides the AnalyzeID API.

APIs 83
article thumbnail

Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

AWS Machine Learning

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. In addition to the no-code interface, Amazon AppFlow supports configuration via API, AWS CLI, and AWS CloudFormation interfaces.

APIs 71