Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
EXL Property Insights
By:
Latest Version:
v1.0
Leverage aerial imagery and AI to drive decision making and business process redesign in insurance underwriting, marketing, and claims
Product Overview
Solution leverages AI and ML to provide accurate, real-time insights for underwriting, marketing and claims. Solution extracts property attributes from high-resolution aerial imagery and combines with additional property-level features that influence risk. With these insights, insurers can better evaluate develop risk models, and combine individual peril scores into an overall risk score. For underwriters, the solution offers risk scores for fire, weather and flood. For claims processing, it provides a severity score, helps with triaging and reserve setting, and supports assessment of replacement value. The solution can also help carriers increase marketing ROI. Pricing Information: Pricing is indicative. Please reach out to EXL services (rahul.nawab@exlservice.com) for customized pricing options
Key Data
Version
By
Categories
Type
Model Package
Highlights
End-to-End Solution: Support a variety of use cases across your enterprise with a single solution that brings together an ever-growing pool of third-party and partner data to optimize decision making.
Flexible Contracting and Deployment Options: Choose the right combination of image and data features, as well as technical integration models, to meet your specific needs
Speed to Market: Get to market quickly with minimal development effort and an on-demand consumption model
Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us
Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$100.00/inference
running on any instance
Model Batch Transform$1,000.00/hr
running on ml.m5.large
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.056/host/hr
running on ml.t2.medium
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on the number of inferences generated by the ML Model per month. Typically, the number of inferences is the same as the number of successful calls to the real-time endpoint. For models that support multiple inputs in a request, sellers have the option to meter the number of inputs processed in a request to count generated inferences.
Additional infrastructure cost, taxes or fees may apply.
Usage Information
Model input and output details
Input
Summary
Currently this version requires to enter required property attributes in the csv format
Input MIME type
text/csvSample input data
Roof_Material_Metal Roof_Material_Tile Roof_Material_Concrete Roof_Material_Plastic/Fibreglass Roof_Condition_Damage Roof_Condition_Bad Roof_Condition_Good Roof_Condition_Fair Area Distance_to_Trees Distance_to_Vegetation Tree_Height Distance_to_Closest_Building Number_of_Buildings_in_Parcel Distance_to_Fire_Station Tree_Overhang
1 0 0 0 0 1 0 0 23.31376484 6.895530333 7.221410792 24.26860405 1.070188866 4 80.08811056 0
1 0 0 0 0 0 1 0 30.15353122 4.832803362 3.119558947 20.10368697 8.068513906 2 94.03955412 0.576
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
AWS Infrastructure
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.
Learn MoreRefund Policy
No Refund for this version
Customer Reviews
There are currently no reviews for this product.
View allWrite a review
Share your thoughts about this product.
Write a customer review