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Gilad Lotan

SVP of AI and Data Science, BuzzFeed. On 1 show, 1 appearance. The Shows tab opens the full record on each.

scientistexecutiveacademic@gilgul ↗LinkedIn ↗giladlotan.com ↗

Gilad Lotan leads BuzzFeed's centralized data science and AI teams, deploying machine learning, embeddings, and analytics across content, audience personalization, and advertising. He previously worked at Microsoft's FUSE Labs and SocialFlow, and is recognized for his research into social network information flows, online propaganda, and bot networks.

1shows
1appearances
9statements
2resolved
1supported
0contradicted
50%fully supported
1said about them ↓

Everything Gilad Lotan said on any show that made the record, most notable first. Each card names its show and opens the statement there.

MAD Disclosure
Lotan: Betaworks was an early investor in Tumblr and Kickstarter
“So we were one of the earliest investors in Tumblr and Kickstarter, and a whole bunch of, ah, companies across, ah, the tech scene in New York City.”
Gilad Lotan Dec 5, 2013 ▶ 0:56 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Assertion Partly supported
Lotan: TweetDeck was built at Betaworks and sold to Twitter
“TweetDeck was actually built at Betaworks and then sold to Twitter.”
Gilad Lotan Dec 5, 2013 ▶ 1:13 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Insight
Lotan: Gephi is ideal for quick exploratory graph analysis
“It's a great tool to pull in graphs and do some exploratory data analysis, so the section where you're sort of trying to explore a data set, you don't want to put too much effort into it and build something for it, you can just easily use this open source tool…”
Gilad Lotan Dec 5, 2013 ▶ 6:14 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Insight
Lotan: Network graph analysis effectively isolates spam and off-topic data
“And it's actually also a great way to get rid of spam, things that aren't related not that I think that Python snakes are spammy, because they're pretty awesome, but it's a way to sort of, to identify them as separate from the context that we're trying to unde…”
Gilad Lotan Dec 5, 2013 ▶ 12:23 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Assertion Not checkable as stated
Early Giphy tags were manually labeled by humans for cleaner data
“They're manually labeled, so we're getting these labels from, ah, actual humans, ah, so they're really, really clean and great data.”
Gilad Lotan Dec 5, 2013 ▶ 13:15 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Assertion Not checkable as stated
Giphy's top tag clusters in 2013 were funny content, art, and movies
“We get three dominant sort of clusters in this data, and it's, I don't think it's surprising There's the lol, right, lots of just funny, funny stuff. There's, like, kind of pretty, beautiful content, like photography, just artistic stuff, and then lots of movi…”
Gilad Lotan Dec 5, 2013 ▶ 13:47 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Assertion Not checkable as stated
Lotan: Giphy GIFs tagged 'funny' feature laughing people, while 'LOL' features animals
“Content that has the tag funny usually consists of sort of people laughing here, like funny in terms of funny, they're, you know, you see their face and you see them laughing. LOL tended to have, for some weird reason, have animals doing weird stuff. Or young …”
Gilad Lotan Dec 5, 2013 ▶ 15:09 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Disclosure
Hypertable is highly efficient at writing content for graph storage
“I currently use Hypertable which is just super efficient at writing content.”
Gilad Lotan Dec 5, 2013 ▶ 19:48 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
MAD Assertion Supported
Digg operated with only 15 employees under Betaworks in 2013
“Digg, for example, is fairly large, ah, in terms of Betaworks companies. It's 15 people.”
Gilad Lotan Dec 5, 2013 ▶ 20:58 Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013

The other half of the tape: Gilad Lotan's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode across the shows. every mention, with the transcript →

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the MAD Podcast 1

2013 1 mention in 1 episode

One line per show, most statements first. The link opens Gilad's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
MADLEDGER SVP of AI and Data Science, BuzzFeed 1 9 50% 1/2 full record on the MAD Podcast →
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