Overcoming two issues that are sinking gen AI programs
Growth in the generative AI era looks like a classic case of “two steps forward, one step back.” As companies come to grips with the unique complexities of gen AI, initial progress leads to reversals and redos, in some cases threatening to stop development altogether.There are many sources of frustration and delay, from a lack of sufficient talent to ongoing data quality issues. But our experience working closely with more…

