data

18 statements across 14 episodes · 6 bullish · 1 bearish · 14 people on the record · first statement Dec 5, 2013 by Matt Turck · across every show →

Everything said about data, oldest first

Dec 5, 2013
Assertion Supported
The World Economic Forum classified data as an asset class
“You may have seen that Davos, ah, you know, recently they decided that data was a new asset class.”
Matt Turck Dec 5, 2013 ▶ 6:11 Matt Turck, Bloomberg Ventures // Data Driven NYC# 3 // Feb 2012
Dec 5, 2013 positive
Insight
Drew Bansal asserts open and transparent data limits potential data misuse
“I like that when data is open and transparent and easily shared and easily indexed and discovered, that you can limit a lot of the bad stuff that people can do with it”
Drew (InfoChimps) Dec 5, 2013 ▶ 42:07 Panel discussion // Data Driven NYC #13 // Dec 2012
Dec 19, 2013 neutral
Insight
Wilson: Data is only defensible if it is proprietary first-party data
“The only defensibility that you can get with data is defensibility around your own data. If you're getting data from somebody else, it's not defensible, because they can give it to somebody else as well.”
Fred Wilson Dec 19, 2013 ▶ 3:32 Fred Wilson, USV // Data Driven NYC #18 // Sep 2013 (interviewed by Matt Turck)
Dec 19, 2013 neutral
Insight
Wilson: Software alone lacks defensibility without proprietary data and networks
“Shows the problem of thinking that software is any kind of defensible advantage. I don't think it is. But if there was something about The data, ah, and the network around that software that made it so that it wouldn't be easy to leave the first company and go…”
Fred Wilson Dec 19, 2013 ▶ 6:55 Fred Wilson, USV // Data Driven NYC #18 // Sep 2013 (interviewed by Matt Turck)
Apr 20, 2015 negative
Assertion Not checkable as stated
Muglia: Most data stored globally in 2015 is unencrypted
“Most of the data that is stored in the world today is stored in an unencrypted form.”
Bob Muglia Apr 20, 2015 ▶ 10:52 Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
Jan 25, 2016
Insight
Orad: Complex data forces teams to spend more time prepping than analyzing
“The truth is that the more complex your data, the more time you spend getting everything ready than the actual analysis.”
Amir Orad Jan 25, 2016 ▶ 9:53 The Benefits of Fast Business Intelligence // Amir Orad, Sisense (Hosted by FirstMark Capital)
Feb 21, 2016 positive
Prediction Not checkable as stated
Oudghiri: Software code will look more like data in the future
“And this, I tell you, will be a trend. Your code will look more like data than it does today.”
Hicham Oudghiri Feb 21, 2016 ▶ 14:07 A Recipe-Based Approach to Parsing // Hicham Oudghiri, Enigma (Hosted by FirstMark Capital)
Jul 13, 2017 positive
Insight
Competitive advantage in AI comes from proprietary data, not algorithms
“Our belief is that AI and machine learning, you will not win this war by having the better algorithm. The differentiator, the value proposition, is not in the algorithm. It's actually in the data.”
Stan Christiaens Jul 13, 2017 ▶ 11:58 AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
Jul 13, 2017 positive
Insight
Data treated as a strategic asset requires its own business process
“And data today, if you treat it as a strategic asset, should have its own business process.”
Stan Christiaens Jul 13, 2017 ▶ 15:51 AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
Jul 13, 2017
Prediction Not checkable as stated
Enterprise data needs a dedicated system of record like ERP or CRM
“Data will require a system of records, right, just like the chief financial officer as a CRM an ERP, or the VP of sales as a CRM system, data will have the same kind of need.”
Stan Christiaens Jul 13, 2017 ▶ 2:57 AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
Nov 20, 2017
Insight
Hoffman: Great data usually beats great algorithms in machine learning
“Great data usually beats great algorithms.”
Auren Hoffman Nov 20, 2017 ▶ 0:46 Where Should Machines Go to Learn? // Auren Hoffman, SafeGraph (FirstMark's Data Driven)
Mar 2, 2018
Insight
Oppenheimer: Data is heavy and expensive to move, but compute is light and cheap
“So there's a design principle that we use, personally, at Algorithmia, which is data is heavy and expensive to move, but compute is light and cheap.”
Diego Oppenheimer Mar 2, 2018 ▶ 11:40 Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
Jun 8, 2018 bullish
Prediction Not checkable as stated
Dixon: AI winners will be determined by data, not algorithms
“Is who kind of wins in AI, and I think that will probably come down to who has the best data, because the algorithms are, you know, all published and out there, and the frameworks are out there, and so it's not really, that's not really gonna be a differentiat…”
Chris Dixon Jun 8, 2018 ▶ 10:13 Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
May 31, 2023
Insight
Wiggins: Early eugenicists believed data would improve society, not oppress it
“They weren't writing about themselves like we're the baddies and we really want to oppress the crap out of people. They wrote about themselves like we're going to do a solid for society and we're going to make society better with data.”
Chris Wiggins May 31, 2023 ▶ 8:41 A Conversation with Chris Wiggins - Author of "How Data Happened"
May 31, 2023
Assertion Not checkable as stated
Wiggins: Early AI research rejected data in favor of logic
“It's really for the first half of the life of artificial intelligence, people thought it had nothing to do with data whatsoever.”
Chris Wiggins May 31, 2023 ▶ 12:41 A Conversation with Chris Wiggins - Author of "How Data Happened"
Mar 6, 2024
Insight
Gal: Unique proprietary data is the only real edge in healthcare AI
“In healthcare especially, the limiting factor in building AIs is data. If you don't have access to a really unique proprietary type of data, you don't have edge.”
Emi Gal Mar 6, 2024 ▶ 38:09 AI is now revolutionizing early cancer detection | Emi Gal, CEO of Ezra
Apr 10, 2024 neutral
Assertion Not checkable as stated
Benedict Evans: The tech industry lacks enough human data to 100x LLMs
“And so that means you kind of can't do like a prediction. There's no Moore's law here where you can say, well, it'll get to that power of compute level at this, but at this point set aside the fact that we actually don't have enough data to give it 10 or a hun…”
Benedict Evans Apr 10, 2024 ▶ 28:22 Is AI a platform shift or a paradigm shift? With Benedict Evans
Mar 27, 2025 positive
Insight
For AI applications, moats lie in curated data rather than user experience
“Their mode is probably not the user experience, but because it's very easy to copy. Anyone can study the product and copy. Their mode is data.”
Lin Qiao Mar 27, 2025 ▶ 54:20 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
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