As employees increasingly develop valuable AI workflows through private experimentation, many are choosing not to share what they’ve learned—not mainly because of weak governance orAs employees increasingly develop valuable AI workflows through private experimentation, many are choosing not to share what they’ve learned—not mainly because of weak governance orAs employees increasingly develop valuable AI workflows through private experimentation, many are choosing not to share what they’ve learned—not mainly because of weak governance orA 31-year-old physician who uses AI multiple times a day at work told us about a personal prompting template he had built for DoximityGPT, the HIPAA-compliant AI tool his organization had approved.
The template, he said, “produces astoundingly good results.” His colleagues, using the same tool, were struggling—they had told him so.
He believed his template would help them.
As employees increasingly develop valuable AI workflows through private experimentation, many are choosing not to share what they’ve learned—not mainly because of weak governance or
As employees increasingly develop valuable AI workflows through private experimentation, many are choosing not to share what they’ve learned—not mainly because of weak governance or
As employees increasingly develop valuable AI workflows through private experimentation, many are choosing not to share what they’ve learned—not mainly because of weak governance or
A 31-year-old physician who uses AI multiple times a day at work told us about a personal prompting template he had built for DoximityGPT, the HIPAA-compliant AI tool his organization had approved. The template, he said, “produces astoundingly good results.” His colleagues, using the same tool, were struggling—they had told him so. He believed his template would help them.
