Gulp Data: Leveraging Machine Learning for Data Valuation and Monetization

An Intellyx Brain Candy Brief

Gulp Data uses machine learning (ML) to value corporate data sets so companies can monetize their data and use them as collateral. Gulp Data provides loans using data as collateral as well.

The company’s data valuation process takes many factors into account, including the cost of data acquisition, potential royalty revenues, the scarcity and timeliness of the data, and how marketable the data are.

Gulp Data then continually monitors the scarcity and timeliness of data to uncover any factors that may change the value of the data.

The company leverages several ML models to perform its various services and continually tweaks the models to improve their performance and accuracy.

Gulp Data also helps its customers clean and enrich data while analyzing the data sets’ market readiness, thus working with its consulting partners to help customers define their data monetization strategies.

The company recently announced a partnership with Snowflake to help joint customers with their data valuation and monetization challenges.

Copyright © Intellyx BV. Intellyx is an industry analysis and advisory firm focused on enterprise digital transformation. Covering every angle of enterprise IT from mainframes to artificial intelligence, our broad focus across technologies allows business executives and IT professionals to connect the dots among disruptive trends. None of the organizations mentioned in this article is an Intellyx customer. No AI was used to produce this article. To be considered for a Brain Candy article, email us at pr@intellyx.com.

SHARE THIS: