In this moment excerpted from the session “Accelerating Data Migration with AI Agents,” Jim Bretschneider, Executive Vice President, HSO, describes how AI agents are able to help with overcoming migration obstacles.
Key Takeaways
- Data migration: After having shared a data sample case, Bretschneider explains the end-to-end work an agent did for data migration. For instance, rather than having a full charter account or a “monster prompt,” they were able to split it into different sections, like revenue, expense, recovery, and other types of accounts.
- Confidence levels: The output demonstrates confidence levels. With high confidence levels, it can be processed directly and moved into a staging area where the data is consumed. With low confidence levels, the data can be manually augmented which then leads into orchestration elements.
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