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Mike Tamir

5 statements across 1 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement Apr 26, 2024 by Mike Tamir · across every show →

On the record as a speaker too: Mike Tamir's record, appearances and statements → this page counts the times other people say the name.

Everything said about Mike Tamir, oldest first

Apr 26, 2024
Insight
Tamir: E-commerce platforms should use dynamic discounts, never dynamic pricing
“You never want to do dynamic pricing. You want to do dynamic discounts as a product framing bit of advice”
Mike Tamir Apr 26, 2024 ▶ 29:52 How Shopify Implements AI Across Sales and Product with the Head of AI at Shopify
Apr 26, 2024 neutral
Insight
Tamir: Gap between ML loss metrics and product goals determines AI success
“There, that gap between what I want to mathematically measure, which is how the machine is going to learn based on that error and what my actual product result is. Really matters.”
Mike Tamir Apr 26, 2024 ▶ 11:10 How Shopify Implements AI Across Sales and Product with the Head of AI at Shopify
Apr 26, 2024 neutral
Insight
Tamir: Rigorous evaluation culture is critical as non-experts deploy pre-trained AI models
“Having that strong culture to back up the performance of your model before you go into release is probably one of the biggest issues in terms of having a strong ML culture when you're, as it gets easier and easier for non-experts to start leveraging these tool…”
Mike Tamir Apr 26, 2024 ▶ 18:08 How Shopify Implements AI Across Sales and Product with the Head of AI at Shopify
Apr 26, 2024 positive
Insight
Tamir: On-premise infrastructure is cheaper for AI training if already established
“Maybe you buy your own infrastructure, which is also a cheaper answer. If you have, if you already have an infrastructure, an on-prem infrastructure system, that's really going to depend on what your AI training expectations are anticipated.”
Mike Tamir Apr 26, 2024 ▶ 13:36 How Shopify Implements AI Across Sales and Product with the Head of AI at Shopify
Apr 26, 2024 positive
Insight
Tamir: Successful ML teams require serving engineers and embedded product managers
“You need to have engineering for serving. You need to have your ML scientists and engineers, and you need to have product. You need to have product every year in the trenches with your ML builders.”
Mike Tamir Apr 26, 2024 ▶ 25:42 How Shopify Implements AI Across Sales and Product with the Head of AI at Shopify
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