Brian T. O'Neill’s Post

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Design for enterprise AI and analytical data products. Speaker, host of 🎧 Experiencing Data podcast, founder of Data Product Leadership Community, & pro 🥁-er.

Question for those of you ML/AI leaders who engage with UX design or research teams/vendors/contractors/colleagues: Is there 1 thing you wish UX professionals knew or understood more about ML/AI such that they could add more value to the team or the resulting products that were created? What's been hard in the past? Ex: constraints or opportunities with leveraging AI, working effectively with a data science or product team/leaders, all the data governance/quality/privacy issues that exist beyond adding an “AI feature”, or whatever.

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