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Marily Nika: recommendation

5 Feb 2023 Lenny's Podcast AI and product management | Marily Nika (Meta, Google)

“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.”

— Marily Nika

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Speaker
Marily Nika
Attribution
Verified speaker
Claim type
recommendation
Recorded
5 Feb 2023
Publisher
Lenny's Podcast

Transcript context

…Wow. Didn't think about how every cross-functional team might end up with a research scientist. Interesting, interesting. For PMs who are curious about learning how to do this stuff, what are a couple things that PMs today who have no experience with AI, what can they do to start learning how to build AI tooling into their products, understand what the hell's happening in the space of AI? 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. Also, even if you want to train, there are no code approaches for training models. But to answer the question, if you're working on any product, you can always sprinkle in a smarter feature. So you can make it more secure, you can personalize it, you can enhance it with fraud detection, you can make it more ethical. If it's healthcare, you can make it faster, you can make it more accurate. If it's shopping, you can create better accommodations. Basically anything where you can get data behind the behavior with users can be improved with AI. So I guess it's all about changing the mindset of PMs. Taking a step back and just thinking about, okay, I have all this data that's just lying and sitting around what is it that I can do with it? I've been meeting PMs that said, "Oh, we're not collecting any data, we're [inaudible 00:12:46] dashboard." So even that is a huge first step towards AI. And then just start thinking about it, where you could deal, get a data science intern and just see what they are going to do. There's just so much people can do. So say you want to start investing in some sort of model, some sort of AI within your team, you're saying maybe hire data scientists who can help you start to build something that you can start integrating. Is that your advice on the first step of once you start, you want to start getting serious about building some sort of AI component.…

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