4 ms·
Can you go into why they were shelved? Were they normal technology and business reasons - or related to ML directly? I ask so that potentially others can learn
by czbond 9y ago
Can you go into why they were shelved? Were they normal technology and business reasons - or related to ML directly? I ask so that potentially others can learn to either navigate around those in the future.
- gliese1337 9y agoI wish I could. I have very little insight. I presume it's some sort of "normal business reasons", but the from my point of view the decision process went something like this: Me: "It's finished, here are the areas of strength and weakness, and here's where we can deploy the system for maximum effectiveness." Business: "We're thinking about the best way to deploy this." Me: "This is how you deploy it." Business: "We'll think about and get back to you. Don't do anything until we tell you." Me: "..." Business: "..."
- xy55 9y agoPerhaps they needed you to elucidate the risks or possible downsides?
- gliese1337 9y agoThat's the "weaknesses" part. And I did in fact spend a good bit of time with my manager going over exactly what the model does not mean, and what you should not conclude from it or use it for.