Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.” - @TDataScience
Companies should focus on "Opportunity AI," which uses AI to solve new problems and create innovative business models, rather than just improving existing processes through "Efficiency AI." AI-native companies can leapfrog traditional businesses by designing systems that address inefficiencies and adapt quickly. By embracing AI's potential for transformative change, organizations can secure a competitive advantage and avoid becoming marginalized.
https://t.co/Bfag5SKoyZ
@FranziCros I much prefer the experience developing locally using Core. I’m fairly sceptical of the value Cloud provides. Airflow scheduling and GitHub CI ticks all the boxes for me.
@datavizdad I can’t believe it took them this long 🙄 I’m sure there’s a hacky solution with my name on it that only works for the first 6 words in the string 😂
@ilmariaalto@ergestx I find distinct can be a nice shortcut when you’re using window functions where there’s not an aggregate equivalent, like last_value, and you need to dedupe
@berenguel@criccomini@ilmariaalto I’d actually go for the popen at this stage, dbt doesn’t have good external methods to call from python from what I’m aware of.
@VizWizBI@tableaupublic Does the axis have manual number formatting on it , or is it auto-formatted? I’ve seen cases where the auto-formatting is evaluated differently and I’ve resorted to defining the number format manually.
@ianwhitestone @sarahmk125 The concepts aren’t as scary as they sound, there’s a parallel for all of them in Tableau, as an example.
LookML = Workbook XML
Looks = Worksheets
Explores = Published Data Sources
Models = Projects (ish)
The learning curve is okay and it’s the most productive tool I’ve used.
@berenguel We could argue that the majority of human art is derivative too. I just worry that some of this is *so* good that an original artist is robbed of attribution somewhere… but I still love it, reminds me of concept art from old SF novel covers
@FireboltHQ Outer unions. Matching columns by name at least, and handling missing columns in either part of the union. Admittedly there’s a dbt macro for this.