X

Only Insights. No Spam.

* indicates required
Subscribe to our newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Webinar

Applying Augmented Intelligence to Ensure Data Quality

Key Highlights

Predictive models used in drug discovery require a viable level of data quality. A faulty model can lead to completely off-the-mark predictions and sunk project costs.In sharp contrast, much of the available biomedical data is unstructured and prone to errors due to varying experimental protocols (incomplete metadata information, missing annotations, inconsistent file formats). To ensure their datasets are ML-Ready, R&D teams must set up a system that continuously assesses and iterates on the data and metadata quality. This session will demonstrate Elucidata’s data quality assessment approach, which ensures an input dataset is standardized and has accurate, complete, and a breadth of metadata information before it is considered model quality.

To View This Webinar, Please Fill This Form
Thank You! You can now access the webinar below!
Oops! Something went wrong while submitting the form.
Thank you for filling the form! You can now access the webinar below

All Webinars