Regarding specific checklists or protocols for Gen AI data readiness, honestly, we're still quite early in our journey. We don't have formal protocols locked down yet.
One major hurdle I've quickly identified is the challenge of accessing readily available data with the necessary variety and volume needed to effectively train or enhance Gen AI for our specific project contexts.
That said, exploring the potential has definitely sparked a lot of ideas! The thought of leveraging Gen AI to build a dynamic, easily searchable lessons learned database from past projects is particularly exciting and feels like a high-impact use case if we can overcome the data challenge.
On a more immediate, practical level, given our Google Workspace environment, I've found using Gemini helpful for improving personal efficiency, like better email management.
Looking ahead, I think the real strategic challenge will be identifying and then actually replacing or significantly transforming existing operations workflows using Gen AI, rather than just using it for marginal gains.
Curious to hear what specific data readiness steps or preliminary protocols others have started implementing!
PMI Team Member
