Budget AI Part 3: Batch Processing & High-Volume AI Workflows

When should you use AI in real time, and when should you process work at scale? In this session, Deirdre Conde, COO of Eskwelabs, demonstrates how batch processing can dramatically reduce costs while enabling organizations to tackle large-volume tasks more efficiently.

Using real-world examples such as data tagging, content categorization, survey analysis, and dataset enrichment, participants will learn how asynchronous AI workflows can replace hours of repetitive manual work while maintaining quality and control. If you're working with large datasets, recurring processes, or operational workflows, this session will show you how to unlock one of the most underutilized features in modern AI systems.