>> Most companies are using AI wrong.
And they don't even know it.
They treat it like another ๐ฆ๐ฎ๐ฎ๐ฆ subscription.
They switch it on, point it at the process they already run, and wait for it to pay off.
Would I be right in saying most of the AI disappointment you have seen started with automating a process that was already broken?
Our Process and AI Transformation Handbook identifies the ๐ฒ๐ ๐ฝ๐ผ๐ป๐ฒ๐ป๐๐ถ๐ฎ๐น AI transformation opportunities across your operations.
This was a very interesting thread on the implications of large-scale test time computational tasks
TLDR > benchmark scores are basically losing their meaning because model capability isn't a fixed number as much as before.
It scales with how much compute you let it use at inference, and that's more confusing to track
If you deploy AI into your security workflow with proper controls, you cut breach costs by millions.
One thing you can do this week:
Pick one AI tool your team uses today. Ask: what data does it access, who approved that access, and whether anyone logs those queries.