What successes have you experienced with Generative AI?

For me GenAI is good for compiling documents from a large datasets. But i still tell people that GenAI should act as a Copilot and not the Pilot itself, so as humans will still need to think out of the box while GenAI helps to summarize and tidy up loss end.

The level of accuracy in the terms of Data import and analysis is the success that i have experienced.

By leveraging high-quality internal data, we successfully cut early-stage ideation and prototyping times by nearly 40%, allowing the team to uncover unexpected creative angles and connect previously siloed data trends. However, this venture wasn't without its challenges; we encountered significant hurdles regarding legacy data cleanliness and the constant need for human-in-the-loop oversight to mitigate model hallucinations. Ultimately, the realized benefits far outweighed these obstacles, freeing our team to focus on high-value strategic problem-solving while reinforcing the absolute necessity of robust data governance.