Sold by: VirticalÂ
Overview
By leveraging the power of AI for data extraction and analysis from Summary of Benefits and Coverages documents, brokers and end users gain a competitive advantage and can provide their clients with faster, more accurate, and personalized services. StudioAI’s platform also ensures scalability, adapting to the ever-changing landscape of the health insurance industry while maintaining its relevance and utility for users.
Highlights
- Our AI model has been extensively trained with numerous SBC documents from US health plans, allowing it to recognize and understand industry-specific terms, data fields, formats, and structures.
Details
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Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.t2.medium Inference (Real-Time) Recommended | Model inference on the ml.t2.medium instance type, real-time mode | $0.00 |
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.00 |
ml.t2.xlarge Inference (Real-Time) | Model inference on the ml.t2.xlarge instance type, real-time mode | $0.00 |
ml.t2.large Inference (Real-Time) | Model inference on the ml.t2.large instance type, real-time mode | $0.00 |
ml.t2.2xlarge Inference (Real-Time) | Model inference on the ml.t2.2xlarge instance type, real-time mode | $0.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.00 |
ml.m5.xlarge Inference (Batch) | Model inference on the ml.m5.xlarge instance type, batch mode | $0.00 |
Vendor refund policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Initital version
Additional details
Inputs
- Summary
The model input will be in a simple JSON format, as illustrated below: { "data_source": "app/data.csv", # or s3://your-bucket/data.csv "state": "CA", "lob": "Small Group", "census": 10, "sic": "1540", "top_n": 50 }
Please note: This model is not intended to provide comprehensive plan recommendations. It serves as a demonstration by our AI model, focusing on predicting your sales history data. For further information, please feel free to reach out to us.
{
"data_source": "app/data.csv", # or s3://your-bucket/data.csv
"state": "CA",
"lob": "Small Group",
"census": 10,
"sic": "1540",
"top_n": 50
}
https://github.com/studioai-build/sample-plan-recommendation-model/blob/main/data/input/batch/batch-input-data.json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Input Data | data_source: denotes the location of your sales history data, typically provided as an S3 link.
state: The state in the USA where the sale occurred.
lob: The line of business.
sic: The Standard Industrial Classification - an industry code.
census: Total members covered by the plan.
top_n: The quantity of items to be recommended. | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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