What AI is Like in the Real World | Alyssa Simpson Rochwerger

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February 11th, 2022

50 mins 2 secs

Season 19

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About this Episode

Support the show: https://www.buymeacoffee.com/datascienceharp
Find Alyssa online: https://www.linkedin.com/in/sophiaalyssasimpson

Watch the video of this episode: https://youtu.be/IqDE0kZOyag

Memorable Quotes from the Episode:

[00:24:42] "The best Data is is real data that is generated either by humans. Sometimes that's emails or whatever that use case is that you're solving. So I'll take a frequent use case, which is often like prioritization of support. Tickets is a classic model that teams want to build inside a lot of different types of organizations. You have zillions of support cases coming in for, and you want to just categorize them or you want to understand which ones are most severe that need to be answered first."

Highlights of the Show:

[00:01:27] Guest Intro

[00:03:05] You mentioned being an unlikely A.I. leader in your book, please talk to us about that.

[00:04:29] What could possibly go wrong if all we did was focus on creating accurate machine learning systems and just focus on that accuracy metric?

[00:08:08] Can you share some strategies with us for identifying the types of problems that A.I should solve?

[00:11:57] What is the Goldilocks problem? How do we define the Goldilocks problem?

[00:13:21] Can you share some tips with us to understand or tell, at least if a problem is going to be well suited to using machine learning?

[00:24:21] How do we make sure that it's the right data that we're using?

[00:28:34] If we have data that needs annotation, how do we check the quality of those annotations? How do we know where to go to get annotated? Do you have any tips around that?

[00:36:03] Talk to us about the importance of Data strategy.

[00:38:59] How do you deal with challenges like data governance in an organization if you face those?

[00:40:21] Being a woman in tech, if you might be able to just share some advice or words of encouragement for the women.

[00:45:03] Random Round.

[00:45:04] It is one hundred years in the future. What do you want to be remembered for?

[00:45:40] When do you think the first video to hit 1 trillion views on YouTube will happen and what will that video be about?

[00:46:38] In your opinion, what do most people think within the first few seconds of meeting you for the first time?

[00:46:56] What are you currently reading?

[00:47:34] What song do you have on repeat?

[00:48:06] What's your worst habit?

[00:48:30] What's your favorite candy?

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