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

Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

The intent is to offer an accelerated path to adoption of predictive techniques within CDSSs for many healthcare organizations. Technical background A large asset for any acute healthcare organization is its clinical notes. Here, you supply the same model_name used in the create_model API call.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

Customers are now pre-training and fine-tuning LLMs ranging from 1 billion to over 175 billion parameters to optimize model performance for applications across industries, from healthcare to finance and marketing. Training performant models at this scale can be a challenge.

Scripts 100
article thumbnail

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 96
article thumbnail

Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning

Additionally, you will need to have access to LLMs through either JumpStart or API keys. Appendix Example prompts Domain Database/API Prompt SQL (Generated by LLM) Output Sales & Marketing Amazon RedShift How many ticket sales are there? Finance and Investments Snowflake Which stock performed the best and the worst in May of 2013?

APIs 73
article thumbnail

3 principles to tackle the emerging debt collection crisis

Talkdesk

Similarly to 40 years ago , major banks, finance companies and collection agencies are muscling up call centers to respond to the arrears crisis for credit cards, auto loans, student loans and other forms of debt. For example, less than 11% of people with federal student debt are repaying their loans during COVID-19.

Banking 105
article thumbnail

Build a vaccination verification solution using the Queries feature in Amazon Textract

AWS Machine Learning

If there are between 15–31 queries and the number of pages is between 2–3,001, then Amazon Textract asynchronous processing is the only option, because synchronous APIs only support up to 15 queries and one-page documents. NumberQueriesAndPagesChoice is a Choice state that adds conditional logic to a workflow.

Finance 100