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Data science

Data science

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Search complete. 84 mentions across 20 episodes found for "Data science".

Nov 4, 2026

MaxHOST
16:47
嗯。
达姐HOST
16:47
Data science 啊,或者是怎么样可以用好些 AI agents 啊,怎么样用 Python 去做不同的 development 啊,那么这一方面的议题呢,都有一-有一堆,呃,即-即是 sessions 呢,是可以报-报名参加啦。另外呢, day 2 呢,就是,呃,星期日。
MaxHOST
17:10
星期日,嗯。
达姐HOST
17:11
11月14、15号嘛,15号呢,就会有一个叫做 Development Sprint 的,呃,类似工作坊的东西啦,那么大家可以有些 hands on 啲的活动,可以跟现场的朋友去交流一下。我,但,呃,就是大会的日程,第二天的日程呢,就未完全公布完的,但是呢,呃,都会,就是,呃,expect 呢,是有一些现场玩的一些活动咯。那么所以大家对于这个 Python 或者 AI 或者是,呃,呃,不同的 community 有兴趣的话呢,都可以去报名-
Francesco GadaletaHOST
0:47
Together with Eric Gaffney and Sasha Sheng, they launched a model called JEV.
Francesco GadaletaHOST
0:54
For those who don't know what JEV is, I made a podcast episode about JEV that is also on YouTube and on the official website datascienceatom.com. And now, Jeff is, I will explain better what Jeff is, you know, just to make this episode self-contained, though I believe that the episode I'm referring to is much more complete and gives you a really good grasp on what Jeff does, can do, and potentially cannot do.
Francesco GadaletaHOST
1:21
Now, alongside this company, Diogo Almeida and TypeSafe AI They raised something like $40 million seed round.
Francesco GadaletaHOST
1:32
The round was led by DCVC and Forbes put the valuation at around $200 million.

14 MINS LATER

Francesco GadaletaHOST
15:17
And it's the same for the same reasons, and that's also what I'm discussing today.
Francesco GadaletaHOST
15:20
So let me give you five of them.
Francesco GadaletaHOST
15:22
And if you're a manager, I want you to recognize these and please get back in comments on YouTube or the official website or even on Discord where we can interact with each
Francesco GadaletaHOST
15:32
other.
Eric BradlowHOST
1:01
Welcome to Wharton Moneyball, the podcast edition here on the Wharton Podcast Network.
Eric BradlowHOST
1:05
This is Eric Bradlow, Professor of Marketing, Statistics, and Data Science here at the Wharton School.
Eric BradlowHOST
1:10
Some combination of myself, and you can see today I'm here joined by my two longtime friends and co-hosts, Professor Adi Wyner, Professor Shane Jensen.
Eric BradlowHOST
1:17
Between the three of us and Cade Massey, we're here, I'm going to say, every week on Wharton Moneyball.
GlennGUEST
2:51
The first is Polaris Data Labs.
GlennGUEST
2:53
It's a bespoke data science and machine learning consultancy for life science companies.
GlennGUEST
2:58
And then the other company I work for is called IGOR.
GlennGUEST
3:01
It's an electronic lab notebook and lab information management system.
GlennGUEST
3:04
So basically the two different sides of helping life scientists deal with their data, one on the bespoke consulting, more traditional statistics, data science and analytics side.
GlennGUEST
3:15
And then on the other side, it's the software essentially consulting building the products and tooling that they use to help record their data and get the most of it.
Donna LaLondeHOST
3:23
That's fantastic.
SarahGUEST
3:45
I've also organized some sessions a few years beforehand.
David ShumateHOST
49:04
If you're worried about his workload, I am not, because he's been working in the NBA for the last several years.
David ShumateHOST
49:08
While he was doing that, he got a Master's of Data Science from Northwestern in 2022.
David ShumateHOST
49:13
That was while working in the NBA.
David ShumateHOST
49:16
So I guess I do want to talk about that experience and choosing to come here to college.
Genevieve HayesHOST
0:00
Hello and welcome to Value-Driven Data Science, where data professionals become strategic experts.
Genevieve HayesHOST
0:08
I'm Dr. Genevieve Hayes, and today I'm joined by Dr. Greg Beagle.
Genevieve HayesHOST
0:13
Greg is the author of Digital Twins in Action and has been working as a researcher, software developer, architect, and product manager across academia, startups, and large enterprises for the past 26 years.

26 MINS LATER

Genevieve HayesHOST
26:02
Put them in the show notes.
Greg BiegelGUEST
26:03
Thank you.
Genevieve HayesHOST
26:04
And that's it for today's episode of Value Driven Data Science.
Genevieve HayesHOST
26:08
But if you want more from Greg, next week you can catch our Value Boost episode, where you'll learn how to map a physical system to its digital representation, one of the first steps involved in building a digital twin.
Genevieve HayesHOST
26:22
And if you found today's episode useful and think others could benefit, please leave us a rating and review on your favourite podcast platform.
Shalina WadhwaniGUEST
4:42
Even at Carnegie Mellon in 2015, there was a lot of talk of AI.
Shalina WadhwaniGUEST
4:46
They're a top AI data science and robotics school in the world.
Shalina WadhwaniGUEST
4:49
But all the talk they were doing, including in the boardroom setting, was in two contexts.
Shalina WadhwaniGUEST
4:54
One, academic, and two, commercial, large-scale enterprise use cases of AI.

15 MINS LATER

Shalina WadhwaniGUEST
19:57
It's a reason that actually we as a family have also funded what has now become the largest school of AI.
Shalina WadhwaniGUEST
20:06
in India at one of the Indian Institutes of Technology, IIT Madras.
Shalina WadhwaniGUEST
20:12
And this school, it's the Woodwiney School for AI and Data Science.
Shalina WadhwaniGUEST
20:16
Its biggest program is dedicated solely to ethical, safe, and responsible AI so that, you know, we're building all of that research into the tools that we're deploying.
Anthony DanHOST
2:46
I know you used to be a data scientist at BBVA and then moved in to be a professor.
Anthony DanHOST
2:50
What was that like then? Because you were a professor in AI and data science, wasn't it?
Diego PerezGUEST
2:55
Yeah, I was a...
Diego PerezGUEST
2:57
I started doing software engineering and from early on I loved algorithms and AI.
Diego PerezGUEST
3:04
I did my master's in AI and I was, you know, deep diving into what was machine learning 14 years ago, 13, something like that.
Diego PerezGUEST
3:17
A lot of time.
Diego PerezGUEST
3:19
And I loved So the NLP, so I, when I started, you know, my career, I was, okay, I want to work as a machine learning engineer that wasn't even a thing here in Spain, but was the mix between software engineering and data science.
Diego PerezGUEST
3:38
So we didn't have that kind of role.
Sam DayHOST
1:28
Today's guest wrote the book on that, literally.
Sam DayHOST
1:33
Welcome to Data Science with Sam.
Sam DayHOST
1:35
My today's guest is Dr. Zahara Timsa, co-founder and CEO of iGenetic AI, and also the author of the book, AI CEO, and one of the most credentialed voices at the intersection of AI governance and leadership.
Sam DayHOST
1:52
Zahra holds a PhD in biochemistry, an MBA in strategy, and an MSc, and has led AI transformation at IQVIA, MassMutual, and GSK.

21 MINS LATER

Sam DayHOST
22:45
Listeners, please check out the podcast show notes.
Sam DayHOST
22:48
I shared Zahra's contact details, her LinkedIn profile, and feel free to reach out to her if you want to continue the conversation around AI governance, leadership, and also want to know more about her book, The AI CEO.
Sam DayHOST
23:02
And so that's all from the Data Science with Sam.
Sam DayHOST
23:05
If you enjoyed this episode, don't forget to subscribe to my YouTube channel.
Margot JacksHOST
41:04
Thanks for listening to UVA Data Points.
Margot JacksHOST
41:07
More information can be found at datascience.virginia.edu.
Margot JacksHOST
41:12
If you're enjoying UVA Data Points, be sure to give us a rating and review wherever you listen to podcasts.
Margot JacksHOST
41:18
We'll be back soon with another conversation about the world of data science.

10 more episodes mention Data science.

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