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

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

FromThe Artists of Data Science


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

FromThe Artists of Data Science

ratings:
Length:
50 minutes
Released:
Feb 11, 2022
Format:
Podcast episode

Description

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?
Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh
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Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark
The Artists of Data Science Social links:
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Twitter: https://twitter.com/datascienceharp
Released:
Feb 11, 2022
Format:
Podcast episode

Titles in the series (100)

In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a new way of getting things done." Does that sound like you? If so, welcome to The Artists of Data Science podcast! The ONLY self-development podcast for data scientists. You're here because you want to develop, grow, and flourish. How will this podcast help you do that? Simple. By sharing advice on how to : - Develop in your professional life by getting you advice from the best and brightest leaders in tech - Grow in your personal life by talking to the leading experts on personal development - Stay informed on the latest happenings in the industry - Understand how data science affects the world around us, the good and the bad - Appreciate the implications of ethics in our field by speaking with philosophers and ethicists The purpose of this podcast is clear: to make you a well-rounded data scientist. To transform you from aspirant to practitioner to leader. A data scientist that thinks beyond the technicalities of data, and understands the impact you play in our modern world. Are you up for that? Is that what you want to become? If so, hit play on any episode and let's turn you into an Artist of Data Science!