@Matt_Graham_ Bold move, but the right one. Lots of learnings that will help you as you re-think/rebuild, but less chance of small-idea incrementalism.
There is a lot being written about the stylistic tells of AI writing (em-dashes, etc.) but this paper looks at AI narrative tells
Fascinating differences between AI & human narrative, and asking AI to write in different styles doesn't do much to change it https://t.co/azkRHz34NQ
My take: Cloud and engineering usage/cost data has concealed poor practices (or poorly executed) practices in IT and software development for years.
But sunlight is the best medicine. Some of this will now end.
FinOps and token analysis/economics are in the process of bringing about a revolution in tech management. Even though it will not be to the liking of many technical folks, who have had relatively free rein for decades.
@CPetersen_CS@dhinchcliffe Agreed, though I do think that the AI/Agentic fervor is creating an opportunity to get EntArch (and Data Quality and Process/Data Governance) into the C-Suite field of vision. These disciplines always existed but rarely had much influence.
@EnswellJones I would definitely check the credentials. Not aware of a program that offers doctorates in "Beach", but Ken from the Barbie Movie may know of a few.
@CDButler Agreed - there was often a lot of new thinking that emerged from the tortuous process of curating and editing. The rapid assembly LLM approach does a credible job of making something useful, but skips the introspection that can lead to insight.
@bsniz@trillhause_ Yes, though I wonder how much of what actually goes into decision-making, judgement, and execution is actually memorialized digitally, vocally, or in print. How do we capture the memories and the thought-process?
@holgermu The same is true on the enterprise customer side - if the initiative has a name, it is much more likely that it has executive support and funding.