TDWI Executive Summit for Data Management

Prerequisite: None

James G. Kobielus

Senior Director of Research for Data Management

TDWI

Data monetization opportunities are within reach of businesses everywhere. Recent innovations in converged data analytics platforms can accelerate an enterprise's ability to productize their data and other data-derived assets, such as trained ML models. In addition, cloud data marketplaces can be key channels for monetizing these assets as well as any AI/ML-powered products and services with which they are bundled or into which they’ve been embedded.

In this Executive Summit Day 2 keynote, TDWI senior research director James Kobielus will discuss how to build a strategy for managing the monetization of enterprise data assets. Kobielus will address the following essential elements of enterprise data monetization:

• Identifying who should lead data monetization initiatives in your enterprise
• Developing an optimal organizational business model for monetization of data assets
• Democratizing access to self-service data analytics tools to boost the bottom-line contribution of data analytics assets
• Assessing which enterprise data assets should be made available for sale, subscription, licensing, and other monetization initiatives
• Measuring revenue generation and other bottom-line impacts from monetization of enterprise data assets
• Deploying the tools, applications, and platforms that are necessary for data monetization in your enterprise
• Relying on cloud data marketplaces, data exchanges, or other channels to sell and/or license high-quality data sets, pretrained machine -learning models, and other digital assets
• Implementing effective controls and safeguards to ensure that data monetization activities remain in compliance with relevant laws, regulations, mandates, and policies
• Leveraging enterprise investments in cloud data catalogs, DataOps and MLOps platforms, data and model governance, and other key infrastructure to support data productization and monetization