People, every show

Rachel Schutt

Co-Head of AI Labs, BlackRock. On 1 show, 1 appearance. The Shows tab opens the full record on each.

executivescientistauthoracademicblackrock.com ↗

Rachel Schutt directs BlackRock's AI Labs, applying machine learning and optimization to portfolio construction and risk management. Previously Chief Data Scientist at News Corp and a researcher at Google, she co-authored Doing Data Science, based on a course she introduced at Columbia University.

1shows
1appearances
8statements
0resolved
0supported
0contradicted

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

MAD Opinion
Schutt: Most interesting data problems are now at traditional companies
“So, I think the broader message here is that some of the most interesting data problems now are at traditional companies,”
Rachel Schutt Jun 26, 2014 ▶ 1:47 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Opinion
Schutt: Universities fell short in preparing students for data science careers
“I didn't feel that that was really being done at the universities that they fell short in teaching students in ways that actually helped them thrive.”
Rachel Schutt Jun 26, 2014 ▶ 2:51 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Disclosure
News Corp requires its data scientists, engineers, and even designers to code
“The data scientists have to know how to code, the data engineers have to know how to code, the designers code.”
Rachel Schutt Jun 26, 2014 ▶ 8:42 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Insight
Schutt: Traditional reporting cubes lose key patterns in data
“The traditional databases are just snapshots in time and a lot of interesting patterns in the data are getting lost when you rolled up, when you roll up into these traditional reporting systems or reporting cubes.”
Rachel Schutt Jun 26, 2014 ▶ 12:31 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Assertion Not checkable as stated
Schutt: WSJ newsroom is surprisingly open to collaborating with data science teams
“I haven't experienced a separation of church and state that I expected to experience between the newsroom and the business. Ah, that the newsroom especially where I've been spending a lot of time at the Wall Street Journal recently, Have been really extremely …”
Rachel Schutt Jun 26, 2014 ▶ 17:28 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Insight
Schutt: Modern data strategy debates mirror 1990s technology adoption debates
“I believe that probably 20 years ago there were probably similar debates around embracing technology and needing a technology strategy and hiring CTOs and what that, what, how to make technology a core part of the DNA”
Rachel Schutt Jun 26, 2014 ▶ 7:30 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Disclosure
News Corp data team prioritizes investing in people over software tools
“We believe in investing in people rather than tools, and so we use open source tools”
Rachel Schutt Jun 26, 2014 ▶ 8:14 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
MAD Disclosure
Schutt: News Corp processes raw logs tactically per problem
“Instead our approach has been more tactical where we're more comfortable in dealing in the chaos and in dealing in these raw logs at the log level. So we process what we need in order to process to solve the problem we need to solve in the moment.”
Rachel Schutt Jun 26, 2014 ▶ 13:19 Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)

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

ShowRole thereEpsStatementsRecord
MADLEDGER Co-Head of AI Labs, BlackRock 1 8 full record on the MAD Podcast →
Made with StarZero

Turn any episode into a week of clips.

This entire site, thousands of episodes across every show transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.