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Prat Moghe

CEO, Promethium · 2 appearances on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderexecutiveoperator@pratmoghe ↗LinkedIn ↗promethium.ai ↗

Prat Moghe is an enterprise data executive who founded and served as CEO of Cazena, which was acquired by Cloudera. In October 2024, he was appointed Chief Executive Officer of Promethium after previously leading TripleBlind and IBM Netezza initiatives.

9statements → 5claims → 2claims resolved → 3.67/5average certainty → 2.22/5average debate potential →

1 supported 0 partly supported 1 contradicted 3 not checkable as stated how the 5 claims stand · each chip opens the sources

2 predictions · 3 assertions · 1 opinion · 3 insights · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 2 are resolved, and 3 name 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 Prat argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Pratt Mogai: Big Data 1.0 is a $10B market dominated by incumbents
“One dot O, which is where most of the world is, it's a ten billion dollar market, largely going to a few incumbents, right?”
Prat Moghe Jan 2, 2019 ▶ 4:42 a16z Podcast | Big Data Goes Really Big

Their most notable contradicted claim

Assertion Contradicted
Mogai: NYC reduced gunfire and police deployment using predictive data
“You know, like in New York City, I think this was New Year's Eve, and they collected statistics on random gunfire, and they used that data to predict where they should deploy, ah, police so that they could ensure safety, right? And what they realized is that t…”
Prat Moghe Jan 2, 2019 ▶ 0:55 a16z Podcast | Big Data Goes Really Big

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
0% certainty 3
100% certainty 4
none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

257 words/min while actually speaking · 23.5 um and uh per 1k words

No argument clarity score for Prat Moghe: 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: 3,613 words across 2 episodes 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 →

Everything Prat Moghe said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
Moghe: Big data projects fail when data collection precedes business goals
“When you looked at many big data projects, the ones that fail, Are ones where people have taken this approach of saying, I want to collect all the data, and then I want to figure out what questions I can ask. I want to look for hidden patterns, as opposed to p…”
Prat Moghe Jan 2, 2019 ▶ 10:40 a16z Podcast | Making the Most of the Data That Matters
Opinion
Pratt Mogai: Mass direct marketing is over
“The days of, you know, mass direct marketing are over.”
Prat Moghe Jan 2, 2019 ▶ 6:39 a16z Podcast | Big Data Goes Really Big
Insight
Moghe: Big data is defined by decision speed, not storage volume
“I sort of define big data as it's a mindset. It's about being really fast about using data to make decisions. So it's not just about petabytes of data. It's about, you know, how fast can you leverage data to create business outcomes and so that mindset is what…”
Prat Moghe Jan 2, 2019 ▶ 4:02 a16z Podcast | Making the Most of the Data That Matters
Prediction Not checkable as stated
Moghe: Enterprise data is shifting to verticalized full-stack applications
“So there's a whole new breed of, ah, we heard this morning, like the full stack, you know, sort of the full stack app. Like verticalized, experiences, everything that matters. I think that's where it's going. I think where it's going is all that data gets surf…”
Prat Moghe Jan 2, 2019 ▶ 16:03 a16z Podcast | Making the Most of the Data That Matters
Assertion Not checkable as stated
Moghe: Spark and Hadoop do not replace existing data warehouses
“Spark doesn't subsume data warehousing. Hadoop doesn't subsume, you know, streaming. So they're just like different technologies for different jobs.”
Prat Moghe Jan 2, 2019 ▶ 23:39 a16z Podcast | Making the Most of the Data That Matters
Assertion Contradicted
Mogai: NYC reduced gunfire and police deployment using predictive data
“You know, like in New York City, I think this was New Year's Eve, and they collected statistics on random gunfire, and they used that data to predict where they should deploy, ah, police so that they could ensure safety, right? And what they realized is that t…”
Prat Moghe Jan 2, 2019 ▶ 0:55 a16z Podcast | Big Data Goes Really Big
Insight
Pratt Mogai: Big data is difficult to migrate due to deep enterprise integration
“If you look at big data is not a siloed application. It gets infused through the organization. So it's usually part of some operational business process. And it's really hard to lift and shift it into the cloud.”
Prat Moghe Jan 2, 2019 ▶ 2:45 a16z Podcast | Big Data Goes Really Big
Assertion Supported
Pratt Mogai: Big Data 1.0 is a $10B market dominated by incumbents
“One dot O, which is where most of the world is, it's a ten billion dollar market, largely going to a few incumbents, right?”
Prat Moghe Jan 2, 2019 ▶ 4:42 a16z Podcast | Big Data Goes Really Big
Prediction Not checkable as stated
Moghe: Democratized cloud big data will flatten corporate organizational structures
“I think that's the Google-like or the Facebook-like culture you want to see permeated across all the top 2000 enterprises, and it's not there today. So I think the long-term implication of big data, cloud making it really democratic is access to everyone, flat…”
Prat Moghe Jan 2, 2019 ▶ 10:59 a16z Podcast | Big Data Goes Really Big

Appearances (2)

EpisodeDateSpeaking time
a16z Podcast | Making the Most of the Data That Matters Jan 2, 2019 7m
a16z Podcast | Big Data Goes Really Big Jan 2, 2019 10m
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