Tomer Cohen: observation

Transcript context

…I love this. So I took some notes on what you're talking about. So the big message that I'm taking away so far is as a product leader, you need to think about things that you thought the engineering leader had to think about or the ML engineer was thinking about things like what is the objective of our algorithm? What are the features that we're building into it? What is the data collection strategy? How are we fine-tuning it? As a PM, you should be asking these questions. In fact, you should go all the way to infrastructure. You can have massive lifts in your product outcomes and goals if you probably enhance your infrastructure. How many product people talk about the infrastructure they have? Not many. Influencers, those are things ultimately your goal is to win with your products and build a much more experience to your members and customers. Literally just changing the infrastructure on top of what you build. That could be the biggest lever than you building another button or experience for your members on the top of it. So say the PMs at LinkedIn, are you encouraging them all to, how is AI integrating into what you're doing? How do you just set this up so that teams do this well within LinkedIn?…

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