Streamline Your AI Data Preparation

Preparing immense amounts of data for AI can be a complicated and costly task, though no price should be too high to avoid the consequences of not having high-quality, trustworthy training data. While the foundation of reliable AI lies in the quality and integrity of its training data, organizations often struggle with the intricate and resource-intensive nature of data preparation workflows.

In this archived keynote session, Lorne Joseph, founder of ESG.org and eGRC.com, and chief risk officer of the Council Exchange Board of Trade, details several key steps in the AI data prep process to optimize and simplify data handling. This segment was part of our live virtual event titled "IT Automation in 2026: It Isn't ALL About AI (Just Mostly)." The event was presented by InformationWeek and ITPro Today on October 23, 2025.

Watch the archived "IT Automation in 2026: It Isn't ALL About AI (Just Mostly)" live virtual event on-demand today.

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