At a glance
Overview
Watch this on-demand webinar to hear from leaders at AWS Data Exchange, PredictHQ, and Favor about why organizations should leverage third-party data in their machine learning strategies.
On-demand recording
On-demand recording
On-demand recording
Who should watch
- Chief Data Officers
- Data scientists
- Business intelligence
- Analytics professionals
Who should attend
1-3 descriptive, relevant, and short sentences.
Speakers
The name of Speaker 1. You can have up to 24 speakers. Unused tokens should be deleted.
The position, company of Speaker 1. You can have up to 24 speakers. Unused tokens should be deleted.
The name of Speaker 2. You can have up to 24 speakers. Unused tokens should be deleted.
The position, company of Speaker 2. You can have up to 24 speakers. Unused tokens should be deleted.
The name of Speaker 3. You can have up to 24 speakers. Unused tokens should be deleted.
The position, company of Speaker 3. You can have up to 24 speakers. Unused tokens should be deleted.
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Details
Description
While machine learning (ML) continues to help drive decision making for organizations, utilizing only first-party data can lead to data gaps that may introduce risk or uncertainty. Incorporating third-party data into your machine learning strategies can help mitigate these gaps by refining analytics, delivering effective insights, and bringing confidence to forecasting across your organization.