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Peak's 21 Day Forecast Challenge helps quantify, within 21 days, the financial opportunity that exists within your business via ML-driven forecasting.
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Gain valuable insights to improve your business
Solutions
The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.
ElectrifAi
ElectrifAi's Recommendation Engine builds customer ranking score models in different consumption categories to see the response in a certain campaign.
Try nowMphasis
Financial Transactions Fraud Detection is a deep learning based algorithm capable of training on transactional data to detect fraudulent transactions.
Learn morePeak.ai
Peak's 21 Day Forecast Challenge helps quantify, within 21 days, the financial opportunity that exists within your business via ML-driven forecasting.
Learn more
How to prepare your data pipeline for machine learning and AI
Get the practical guidance to help you prepare a data pipeline that can automate machine learning workflows.
Benefits
Build ML applications faster
Plug and play pre-trained machine learning models from third-party sellers across various use cases without sharing the data outside your environment.
Reduce time for data prep
Use pre-trained models and solutions that can help identify high-quality data from your overall data set suitable for training the ML models.
Simple feature engineering
Leverage models and solutions to identify and extract additional features from your data that can be used to train your own downstream models.