Remove Accountability Remove APIs Remove Healthcare Remove industry standards
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. Regulations in the healthcare industry call for especially rigorous data governance.

article thumbnail

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

Insiders

Sign Up for our Newsletter

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

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

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

Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

In this talk, learn how leaders are modernizing their data foundation, selecting industry-leading foundation models, and deploying purpose-built accelerators to unlock the possibilities of generative AI. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases. Reserve your seat now!

article thumbnail

Best practices to build generative AI applications on AWS

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.