Since AI product development lifecycles are similar, but not exactly the same as the linear traditional product development process, because of: • AI's non-deterministic nature • Constantly shifting technology (new models, etc) • Huge amounts of data • Difficulty in managing scope creep and defining what "done" looks like as a starting point for monitoring, evaluation, and iteration.... We recorded a conversation about important considerations and smarter workflows for effective AI product development that might be helpful to this channel. Enjoy and let me know if we left anything out: https://www.linkedin.com/events/7194064994362142720