AI Workflows: Elastic
Guest post by Nic Palmer, Head of Customer Architecture for International, Elastic.
AI workflows are critical to modern enterprises, yet they often over-index on the model layer. If there's failure, it usually stems from weak plumbing rather than weak models.
A failure in AI workflow may be a consequence of a ‘hope-flow’.
If you can't see, control, or adapt a workflow from end-to-end, you can't expect it to be resilient. When something breaks at 3am on a holiday, you don't want to be stuck running on hope.
Author's summary: AI workflows require strong plumbing to avoid failures.