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Overview

Approach

SageMaker Platform Setup

  • Establishment of a SageMaker environment to enable development of a prototype AI/ML model, leveraging SageMaker instances
  • Setting up connectivity to data store
  • Leveraging SageMaker Model Registry to cataog and manage model versioning
  • Leveraging SageMaker Endpoints for model hosting and production
  • Enabling additional features such as data labelling, preprocessing, model training, evaluation, and production performance to support a target use case

Prototype Model Build

  • Discovery to scope out business problem, objective function, error metrics, potential independent predictors, and a target response for the buildout of an AI/ML model prototype
  • Consolidation of data from up to 3 data sources, denormalization into a datastore to enable predictive modeling
  • Iterative prototype model built to obtain desired accuracy, including feature augmentation, feature engineering, and model development cycles
  • Recommendations for production

Activities

  • Setup of the SageMaker environment
  • Data consolidation
  • Data assessment
  • Feature augmentation
  • Feature engineering
  • Feature importance mapping and assessment
  • Iterative model development
  • Model selection and hyperparameter optimization
  • Results summarization

Deliverables

  • Scripts for data consolidation, feature engineering, model development, and assessment
  • Scripts for model development and assessment
  • Packaged pipelines for prototype model
  • Result spreadsheets and visualizations demonstrating model accuracies
  • Relevant support visuals, depending on the use case
  • Technical workflow summary

Outcomes

  • Functional SageMaker environment for machine learning model development
  • Understanding of any potential gaps for the final model buildout
  • An accurate determination of the investment and anticipated accuracy for a full solution buildout
  • Ability to plan for required architecture for implementation
Sold by Adastra Corporation
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Fulfillment method Professional Services

Pricing Information

This service is priced based on the scope of your request. Please contact seller for pricing details.

Support

Adastra offers a myriad of solutions from Cloud Migration and Analytics to Data Science and Governance as an Advanced Consulting Partner of AWS, including but not limited to:

Data Discovery & Analytics Data Quality Artificial Intelligence Machine Learning Data Lake Build Data Engineering

Learn more about Adastra:

https://www.adastracorp.com/

Contact us today for a review of your requirements

awsmarketplacesales@adastragrp.com