Sold by: Marlabs Inc
Deployed on AWS
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mAdvisor is an AutoML platform that translates data from enterprise systems into meaningful insights & predictions.
Overview
mAdvisor is an AutoML platform that translates data from enterprise systems into meaningful insights & predictions in the form of narratives without any manual intervention. AutoML gives users the power of cognitive technologies like machine learning, machine reasoning, deep learning, natural language generation, natural language processing and expert rules systems with limited knowledge of AI/ML, thereby enabling enterprises to identify revenue streams, enhance customer experience and productivity. This solution is designed for application and machine experts, so that machine learning models can be created with no help from a data scientist. The solution includes the following features: 1. Ability to comprehend and monetize Big Data 2. Rapid time to insights 3. No dependency on data scientists & analysts to create briefs 4. Rapid development of predictive apps 5. Expandable and Scalable to the adoption of new use cases
Highlights
- Automated Pattern Discovery
- Automated Prediction
- Automated Insights
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor.
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.p3.2xlarge Inference (Batch) Recommended | Model inference on the ml.p3.2xlarge instance type, batch mode | $0.20 |
ml.p3.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.p3.2xlarge instance type, real-time mode | $0.20 |
ml.p3.2xlarge Training Recommended | Algorithm training on the ml.p3.2xlarge instance type | $0.20 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $0.20 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.20 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $0.20 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $0.20 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $0.20 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $0.20 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $0.20 |
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Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the 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
- Data Validation and Data Pre-processing
- Automated Feature Engineering
- Automated Feature Selection with statistical analysis
Additional details
Inputs
- Summary
This model can analyse the datasets stored in Amazon S3 bucket. Specify your dataset S3 bucket location as input data.
- Limitations for input type
- 1. Please provide structured data with content type as text/csv 2. Train and Test dataset column names should be the same except Target column.
- Input MIME type
- text/csv
https://github.com/Marlabs1/mAdvisor-AutoML-Sagemaker/blob/main/AutoML/Example%20Notebook/data/test/titanic%20test.csv
https://github.com/Marlabs1/mAdvisor-AutoML-Sagemaker/blob/main/AutoML/Example%20Notebook/data/test/titanic%20test.csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Survived | Survived is the status of passengers.
This categorical column has two levels, where "Yes" stands for Survived and "No" stands for not survived. | Type: Categorical
Allowed values: Yes, No | Yes |
Resources
Vendor resources
Support
Vendor support
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Customer reviews
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1 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Anabella T.
Personalized Financial Planning
Reviewed on Sep 03, 2024
Review provided by G2
What do you like best about the product?
mAdvisor provides personalized financial planning tailored to individual needs and uses AI-powered investment advice for informed decision-making.
What do you dislike about the product?
mAdvisor have fees and charges associated with its services. Integrating mAdvisor with existing financial systems can be difficult.
What problems is the product solving and how is that benefiting you?
We used mAdvisor to improve the financial decisions and to ensures secure and reliable investment management.