Why AI Labs Reject Company Data: What an MLP in RL Needs
The slides and full script for this video
Most company data offers to AI labs end with a no. This video shows the 4 reasons I see most often, explains MLP and RL in plain words with a grocery store example, and gives 4 steps to raise your chances of a yes. In short: 1. Why offers get turned down: too small, rights unclear, personal data left in, or no decisions with results 2. Why AI labs now want decisions, not just documents 3. RL in plain words: learning by trying, with points for good results 4. MLP in plain words: a small math machine, numbers in, a decision out 5. A 2023 Management Science study: an MLP model that learned reord...
What the video covers
- 0:00 Rejected after 6 years of data
- 0:18 Why AI labs reject company data
- 0:38 Who I am
- 1:13 Why most data offers get turned down
- 1:47 AI labs now train AI to make decisions
- 2:15 What RL and MLP mean, in plain words
- 2:54 An MLP at work in a grocery store
- 3:15 How RL teaches it
- 3:35 What it needs from your data
- 3:58 What the research found
- 4:35 Which offer are you sending?
- 5:00 How to raise your chances
- 5:39 How a data deal runs
- 6:10 Why some offers get a yes
- 6:27 Thanks for watching


