Rachel Schutt

Co-Head of AI Labs, BlackRock · 1 appearance on the record.

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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.

8statements → 1claims → 0claims resolved → 3.75/5average certainty → 2.12/5average debate potential →

1 not checkable as stated how the 1 claim stands · each chip opens the sources

1 assertion · 2 opinions · 2 insights · 3 disclosures · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 0 are resolved, and 1 names no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Rachel argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

240 words/min while actually speaking · 40.2 um and uh per 1k words

No argument clarity score for Rachel Schutt: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,583 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

What they said8 Episodes1

Everything Rachel Schutt said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

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)

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)

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)

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)

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)

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)

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)

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)

Appearances (1)

Episode	Date	Speaking time
Rachel Schutt, Newscorp // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)	Jun 26, 2014	18m

Rachel Schutt

The record, in short

How they sound: speaking style how? →

Appearances (1)

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