big data

14 statements across 9 episodes · 5 bullish · 1 bearish · 10 people on the record · first statement Jul 28, 2017 by Michael Jordan · across every show →

Everything said about big data, oldest first

Jul 28, 2017 negative
Insight
Jordan says tech industry builds software without addressing underlying statistical issues
“We're building lots of software, hoping it works, and we're not really thinking about the harder intellectual issues at play.”
Michael Jordan Jul 28, 2017 ▶ 2:11 Michael Jordan
Jan 2, 2019 neutral
Assertion Not checkable as stated
Andreessen: Venture capital remains completely unaffected by big data
“Venture capital has not been affected at all by this approach, you know, big data approach.”
Marc Andreessen Jan 2, 2019 ▶ 38:54 a16z Podcast | What Makes the Valley Work
Jan 2, 2019 neutral
Insight
Nguyen: Machine Learning Mirrors Human Learning From Experience
“And the way I think about big data is when machines learn from big data is very much like human beings learn from life experiences.”
Christopher Nguyen Jan 2, 2019 ▶ 3:24 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Jan 2, 2019 neutral
Insight
Nguyen: Big Data Is Defined by Learning Thresholds, Not Volume
“So I like something that Peter Norvig, the director of research at Google said when he referred to big data, he says, big data is not just quantitatively different, but it's qualitatively different. In other words, there's something that happens when you have …”
Christopher Nguyen Jan 2, 2019 ▶ 1:42 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Jan 2, 2019 positive
Insight
Nguyen: Machine Learning Is the Primary Purpose of Big Data
“So it turns out the reason for big data is machine learning.”
Christopher Nguyen Jan 2, 2019 ▶ 1:30 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Jan 2, 2019
Insight
Nguyen: Modern Business Intelligence Uses ML to Predict Unknowns
“You can think of business intelligence going forward as the ability to apply machine learning algorithms to big data, and not just look at past questions, but also future questions, or asking to predict the unknowns from the knowns.”
Christopher Nguyen Jan 2, 2019 ▶ 6:33 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Jan 2, 2019 positive
Insight
Narula: Historical data cannot answer what-if questions about unprecedented events
“You can answer questions, right? Answer those what if questions? What happens if, you know, a disease is released in this crowd? What happens if we shut down this tube station? Questions which governments and companies want to answer, but which, you know, you …”
Herman Narula Jan 2, 2019 ▶ 8:51 a16z Podcast | The Cool Stuff Only Happens at Scale
Jan 2, 2019 neutral
Assertion Not checkable as stated
Snyder: "Big data" in job posts lost its positive impact by 2015
“So my favorite example of this is the phrase big data. So a year and a half ago, if you use the phrase big data in a tech job listing, it was positive. You know, it was seen as compelling and cutting edge. In June of 2015, it's not negative, but it's totally n…”
Kieran Snyder Jan 2, 2019 ▶ 8:58 a16z Podcast | It's Not What You Say, It's How You Say It -- When Language Meets Big Data
Jan 2, 2019
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
Jan 2, 2019 bullish
Prediction Not checkable as stated
Levine: Application-aware big data will drive the next software wave
“I believe that Application aware big data is sort of the next driver in this space, and we'll get, we will get an application layer that will become very intelligent as a result of this underlying big data.”
Peter Levine Jan 2, 2019 ▶ 22:13 a16z Podcast | Big Data Goes Really Big
Jan 2, 2019 positive
Insight
Dhillon: Big data's key innovation is automated cross-source data correlation
“In big data, to me, the fundamental breakthrough is providing information from multiple places and producing insights where the data finds the data.”
Gaurav Dhillon Jan 2, 2019 ▶ 6:09 a16z Podcast | Making the Most of the Data That Matters
Jan 2, 2019 neutral
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
Jan 2, 2019 neutral
Insight
Paulus: Insurance is the original big data problem
“I think the really interesting thing about insurance is it's the first big data problem.”
Mike Paulus Jan 2, 2019 ▶ 2:31 a16z Podcast | Reinventing Insurance
Jan 2, 2019 positive
Insight
Fei-Fei Li: AI's Moment Is Driven by ML Algorithms, Big Data, and Hardware
“So the convergence of, I'd say mathematical foundations and statistical machine learning tools, the big data and the hardware is created this historical moment of AI.”
Fei-Fei Li Jan 2, 2019 ▶ 2:12 a16z Podcast | When Humanity Meets A.I.
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