My Work Here is Done (Almost)

As my mind went from “WTF” to “Now what?” to “This thing is freaking beautiful” (my actual internal voice is NSFW), I had to ponder if my work here is about done.

That long minute of dead silence that fell across Chicagoland last night was me watching 20 years of know-how flash across the screen while our new “AI” inspected our data model and spit out perfectly executable SQL in response to every one of my questions.

As my mind went from “WTF” to “Now what?” to “This thing is freaking beautiful” (my actual internal voice is NSFW), I had to ponder if my work here is about done. In the realm of targeting jobs for automation, this was the first true glimpse of what’s about to come.

It’s easy to argue that a CEO has other things to do than write SQL. This is true, and while its guilty pleasure of mine, I’ve lost track of how many young data scientists that have been imparted with the secrets of industry context and the alchemy of creating something beautiful and actionable out of otherwise data chaos.

Now, instead of hiring and training people, we’ve trained a model. Forget my own hobbies for a minute, and multiply this impact across every data or business analyst role out there.

Your job is now redefined. Into what? Hell if I know yet, but it’s time to learn how to make these tools work for you before you work for them.

My job now becomes codifying outcomes into a platform and scaling its reach while helping people navigate these transitions. That work will likely never be done.

The other take away is that we are 100% going to reinvent BI in the Age of AI. The UX and frontend might not all be fully in place for the launch on 4/24, but the APIs and infrastructure are well on track.