other / likes
Boz's podcast
“I like Boz's podcast. I don't know if you're aware of it. Boz is the CEO of Facebook.”
Public evidence record
Published podcast speaker
Books, apps, and tools
other / likes
“I like Boz's podcast. I don't know if you're aware of it. Boz is the CEO of Facebook.”
Claim ledger
13 transcript-backed records
01 / evaluation
“It's better because the mission statement is going to be read by all disciplines.”
02 / evaluation
“" Whereas when you're working with research, it's more like we're going to try this and then in a year if it doesn't work out we're going to shut the written down and repeated completing [inaudible 00:10:17].”
03 / recommendation
“I like Boz's podcast. I don't know if you're aware of it. Boz is the CEO of Facebook.”
04 / recommendation
“This is a good question and I guess the message I want to pass is you shouldn't be overwhelmed by these technologies if you don't have a technical background because you can learn these things and as a PM you'll never need to actually train or code.”
05 / prediction
“If you are a big tech company and you're offering a service that is going to do speech or permission or then it's going to have their own tragedy, you want to use more data and more diverse data to train and retain and train because if you don't then your quality is going to be the same as every other companies.”
06 / evaluation
“If you're trying to classify, if the photo is a category dog, obviously even if you have, I don't know like 15, 20 labeled photos, what's going to work.”
07 / commitment
“You need to be able to encourage the teams throughout this process because you're like the captain of the ship, you need to be the one that's cheerleading the team, making sure everyone keeps going.”
08 / recommendation
“I encourage people to just take an online course, understand more, get your hands dirty, pair up with someone else that's in the same boat as you because this is going to give you the skillset to understand how that tool that's going to help you in your day-to-day was even created in the first place instead of blindfoldedly distrusted to do your job.”
09 / preference
“As you know very well, subscribing to newsletters is something that's really impactful. And of course, I subscribe to your newsletter, but I am a big, big, big fan of the download by MIT Ecology Review or Atelier.”
10 / evaluation
“But the AI PM helps their team or company solve the right problem. So if you want to get into AI PM figure out what the problem is that you will get a data scientist to create a model for solving, but there needs to be a problem, there needs to be audience, there needs to be a user and a pin going for it.”
11 / recommendation
“I have to say, I tried being the mail version because it was so much cooler than the KingL version, so that's when I recommend to people, try the mail version.”
12 / recommendation
“Do not waste time of data scientists that can train models with using powerful machines that are going take weeks to train. This is because if you have an MVP and you just want to get buy-in for an idea or feature that may use AI in the future, take it, create a little figma prototype and just show it some users, just fake what the AI is going to be doing.”
13 / prediction
“I believe that ballpark managers will be AI product managers in the future. And this is because we see all products needing to have a personalized experience, a recommender system that is actually good.”