You’re Invited!
Gain insights from PredictHQ and Favor on how to leverage third-party data sets to develop machine learning models. Hear from AWS Data Exchange experts on how you can improve confidence in forecasting and decision-making.
Date: April 28th, 2022
Time: 11:00 AM PT (2:00 PM ET)
Length: 60 minutes
Register Now
You will learn:
- How third-party data can enrich your first-party data
- How AWS services such as Amazon SageMaker and Amazon Quicksight can make building machine learning models easier and more accurate
- Real-world examples of third-party data benefiting machine learning models
- Ways that PredictHQ’s demand intelligence can help improve forecasting accuracy
- How delivery company, Favor, improved its mean absolute percentage error (MAPE) by incorporating features based on PredictHQ data with Amazon SageMaker
- How to find, discover, and use third-party data and APIs from AWS Data Exchange
Who should attend:
Chief Data Officers, data scientists, business intelligence, and analytics professionals.
*The views and opinions of PredictHQ and Favor and their presenters are their own and do not necessarily reflect the positions of AWS
