Netflix, every mention
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tap a year for its mentions
every year anyone Matt Turck 14Aaron Katz 8Savin Goyal 7Josh Bloom 5Chip Huyen 5Vijay Subramanian 4Kuang Chen 4Chris Moody 4Bindu Reddy 4Andrew Feldman 4
Verbatim, from the transcripts: the passages where Netflix comes up
Cerebras CEO: Why GPUs Can't Do Fast Inference
- ▶ 3:25 Andrew Feldman I think if you think of something like, like Netflix, 4 times in the scene
Box’s Big AI Leap: Aaron Levie on Agents & the Future of Work
- ▶ 9:31 Aaron Levie You know, you go back to one of the years and say, blockbuster, would you like to be a public company or private company while competing with Netflix?
Snowflake CEO on Winning the AI Arms Race
- ▶ 19:57 Sridhar Ramaswamy It's an Apache project with a set of contributors that come from many places, from Netflix, from Snowflake, from Databricks, from AWS, but it is vendor neutral.
Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
- ▶ 1:54 Justin Borgman Big internet companies like Netflix and Airbnb and LinkedIn and, and so forth.
What You MUST Know About AI Engineering | Chip Huyen, Author of “AI Engineering”
- ▶ 0:08 Matt Turck Now, Chip is a well-known writer and computer scientist who has taught AI at Stanford, worked as an AI engineer at places like Nvidia, Netflix, and Snorkel, and has become a bit of a superstar in the AI community through our influential…
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 2:05 Aaron Katz So ClickHouse Inc., now Delaware Corporation with headquarters in Silicon Valley exists, venture-backed startup, and we are taking this very powerful analytical database that's used by companies like Spotify and Netflix and Disney and Uber…
- ▶ 9:00 Aaron Katz Um, we started to see it emerge at Netflix, for example, at Disney, at Comcast.
- ▶ 10:27 Aaron Katz And that was, um, really necessary for Alexei Yuri Israelevsky, who's my other co-founder, who I met when he was running platform engineering at Netflix, and he had since gone over to Google and myself, uh, kind of aligned on that strategy.
- ▶ 13:40 Aaron Katz Um, these are folks, a woman named Rupa, that joined us from Netflix.
- ▶ 17:55 Aaron Katz And an example of that would be Netflix, for example, that that's using ClickHouse, um, in AWS, but they manage that environment and we work with them.
- ▶ 28:38 Aaron Katz 25 years at companies like Netflix and Google and Yahoo, and I've been a student of distribution, and with most of that time being spent at Salesforce and then Elastic, and about a third of my career has been spent outside of the U.S.
How Airtable is Ushering 500,000 Organizations Into The Era of AI | Howie Liu, CEO of Airtable
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 23:23 Tomasz Tunguz So like Netflix and stuff like, and all those guys.
Build and Deploy AI with Pytorch | Lightning AI Founder & CEO, William Falcon
- ▶ 15:39 William Falcon So, I, I remember, I used to work at Goldman Sachs on the trading floor, this is 2018 probably, and, ah, or 17, and I wanted to use deep learning on the trading floor to suggest trades, and my MD looked at me, he was like, hey, so like,…
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 20:31 Matt Turck So one of your key customers, at least, uh, publicly is Netflix.
Harnessing AI to Make Video Creation a Breeze | Runway’s Cris Valenzuela
- ▶ 8:51 Cris Valenzuela Um, so I was, I was having fun last week trying to recreate the, the Netflix, um, Stranger Things intro.
Unlocking Data Observability with Monte Carlo's Barr Moses
- ▶ 0:56 Barr Moses Um, and actually I spent, you know, a good couple of months and, and, and hundreds of conversations with data teams from, you know, large companies like Uber and Netflix and Facebook to small startups, and basically asked them, like,…
Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- ▶ 0:24 Aaron Katz I think there are a few trends that we're seeing in the market that we've observed over the past few years and what got me so excited about ClickHouse and kind of engineering the spin out of the technology and of the team from Yandex over…
- ▶ 11:35 Aaron Katz I first met Yuri when he was running platform engineering at Netflix and led their migration to the cloud, uh, for a number of years, I believe he was large AWS's largest customer at the time.
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 16:55 Bindu Reddy They have like say millions or like even, you know, Netflix. 4 times in the scene
Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
- ▶ 10:57 Chip Huyen And then you generate a lot of predictions, like say Netflix, right? 5 times in the scene
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 0:11 Matt Turck I mean, who's, who's the sort of like data and data engineering and machine learning infrastructure team and Netflix, how many people, how are people, how is that organized? 6 times in the scene
- ▶ 2:58 Matt Turck Part, but not, not just that, like including analytics, what are some of the tools that I use, some of the open source project that I used across Netflix? 4 times in the scene
- ▶ 5:40 Savin Goyal You know, like even before my team existed, Netflix had the, uh, data stack compute stack workflow orchestration stack, which was widely available to our internal data scientists. 2 times in the scene
- ▶ 13:14 Savin Goyal Want to say train models for every single country that Netflix operates in as well as every single language that Netflix operates in. 2 times in the scene
- ▶ 14:35 Savin Goyal So, so right now we integrate with AWS Step Functions, uh, as well as, uh, Netflix Mixon, and then we have a few more integrations.
- ▶ 17:52 Matt Turck And, um, so, so Netflix decided to open source, uh, Metaflow in, in what, 2019, um,
- ▶ 21:44 Savin Goyal So, uh, so Netflix is an AWS shop. 2 times in the scene
- ▶ 24:44 Matt Turck Really appreciate your, uh, stopping by, uh, and, uh, it's, uh, you know, it's amazing, uh, to think of, uh, Netflix as the, the final product that we know all, all know and love.
Introducing Kedro
- ▶ 4:25 Kedro Product Manager I know Netflix is up next.
Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark)
- ▶ 14:55 Ashley Kramer So the way I like to describe it is think of the Netflix experience.
Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
- ▶ 27:33 George Fraser You can actually, like, bring some of that stuff that companies like Netflix does to a wider audience by packaging it like that, and we want to be part of that, and we're not going to go build that, but Powered by Fivetrain is our way to…
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 9:14 Justin Borgman Ah, Parquet, Netflix uses that for all of their infrastructure essentially.
- ▶ 16:37 Justin Borgman Uh, it is very much a community-driven project, so Airbnb, Uber, Netflix, uh, they all commit code to the project as well, and, and, uh, I think everyone benefits from that, so Uber, uh, uh, contributed a bunch of features around…
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 19:15 unnamed speaker Um, an example might be if Netflix is taking recommendations for you, they don't necessarily care about making them in real time.
Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
- ▶ 6:27 Spencer Kimball We've actually run TPCC, 10 K, we probably could run 50 K, but it's actually expensive for us to run 50 K, but 10 K with chaos, and what chaos is, it's kind of like the Netflix model, where you actually bring nodes down.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
Every Business Will Need a Data Refinery // Mark Johnson, Descartes Labs (FirstMark's Data Driven)
- ▶ 3:02 Mark Johnson Um, for example, uh, media was forever altered, uh, by the internet, and in the early days of brochureware, when a website for a corporation was just a brochure, it was hard to imagine, um, that the newspaper industry would be…
- ▶ 4:37 Mark Johnson Um, Netflix, uh, having a lot of viewing history, which it uses both for recommendations and now even for, um, optimizing programming.
Using Data to Deliver a Better Customer Experience // Nadia Boujarwah & Christa Stelzmuller, Dia&Co
- ▶ 5:41 Christa Stelzmuller Alright, so you can imagine that once we have this many customers, that we want to be able to make sure that we are able to match great content with, with the right customer, and so I think this probably sounds pretty obvious to everybody,…
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 19:40 Bradford Cross So in reality, you don't even have that many good ones that are outside of that at Amazon and Netflix and LinkedIn, et cetera.
Panel: Alternative Data in Financial Services (FirstMark's Data Driven)
- ▶ 20:12 unnamed speaker Other stocks, um, either for obvious reasons, like foot traffic doesn't do much for Netflix or Amazon, right, um, or for other reasons, we are not as predictive, um, and there can be a lot, you know, foot traffic is only one component of…
Leveraging AI in the Enterprise // Kuang Chen, Captricity (FirstMark's Data Driven)
- ▶ 4:34 Kuang Chen Um, I, I want to paint you a better picture and, and, and a story of a company that was able to transform itself, um, from this threat from incumbents in a changing landscape, and we know Netflix well, that's, ah, I guess Reed Hastings in…
- ▶ 6:48 Kuang Chen And so, I'm not saying that it's as easy for large regulated enterprises as it is for Netflix, right? 3 times in the scene
A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven]
- ▶ 10:13 Neha Narkhede Since we open sourced it, you know, roughly five years ago, Kafka is used in thousands of companies worldwide, from Uber, and LinkedIn, and Netflix, all the way to traditional enterprises like eBay, and PayPal, and Cisco, and Goldman Sachs.
Why Marketing is All About Data // Nitay Joffe, ActionIQ [FirstMark's Data Driven]
- ▶ 3:15 Nitay Joffe So, you know, Amazon and Netflix do a great job of, of recommending things to you, but that's really just one slice of the entire
The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark)
- ▶ 7:49 Prakash Nanduri Guided data prep is very akin to my world of the Netflix recommendation engine.
Combining Machine Learning With Expert Human Judgement // Eric Colson, Stitch Fix
- ▶ 18:40 Eric Colson Um, and it's a great, ah, you know, I came before this from Netflix, and at Netflix it was like pulling teeth to get the customer to tell you anything about themselves, right? 3 times in the scene
The Role of Data in Pluralsight's Technology Learning Platform // Aaron Skonnard, Pluralsight
- ▶ 29:18 Aaron Skonnard This was one of the things that fundamentally we believed was important in the beginning of the business, to have a SaaS-oriented learning platform that was, we really saw ourselves as kind of the Netflix of technology learning. 2 times in the scene
Black Boxes and Unicorns - DataRobot CEO Jeremy Achin
- ▶ 8:49 Jeremy Achin Um, uh, the, the Netflix model that had 200 models in it, um,
Machine Learning in Production with Josh Bloom, Co-founder Wise.io
- ▶ 10:06 Josh Bloom And what I love is this quote from Xavier Amonitron who talked about what the Netflix prize meant to Netflix, and essentially what they said is, and for those that don't remember, it's now a ten-year-old prize where they gave out a million… 3 times in the scene
- ▶ 16:38 Josh Bloom Netflix does the same thing, right? 2 times in the scene
Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)
- ▶ 2:11 Jake Porway Now, you know, whether it's Amazon's recommendation algorithms or Netflix helping us pick better movies, we're pretty good in Wall Street and Silicon Valley at building things to sell things. 2 times in the scene
Mark Kaganovich, SolveBio // Data Infrastructure For Genomics // Data Driven NYC (FirstMark Capital)
- ▶ 18:27 Mark Kaganovich There's a platform and a channel to distribute information, and if you have a good channel to distribute information, um, like Netflix or Bloomberg, et cetera, some of that content can be open, sometimes premium, sometimes you make your…
Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 2:14 Vance Loiselle I'll take a Netflix, right? 3 times in the scene
Jason Tan, Sift Science // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
Chris Volinsky, AT&T // Data Driven #25 // March 2014 (Hosted by FirstMark Capital)
- ▶ 20:31 Chris Volinsky Um, I think one of the, one of the ideas is, as, um, as Matt mentioned, I have this experience with the Netflix prize, competing in the Netflix prize, and for me that was a really powerful experience about crowdsourcing data to allow other…
Corey Pearson, Custora // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
- ▶ 12:57 Corey Pearson So Netflix knows when their customers quit, you know, because you actually cancel.
Vijay Subramanian, Rent the Runway // Data Driven NYC 23 // January 2014
- ▶ 5:38 Vijay Subramanian The second angle that actually I think is kind of unique to us is sort of what I call the Netflixian angle, which is we actually want users to discover the long tail of products. 3 times in the scene
- ▶ 24:03 Vijay Subramanian Ah, so, and actually, I learned recently that, ah, Netflix does, they actually have people watching movies and having thousands of tags on movies that are completely random as well, and, and, and then the science actually figures out what,…
Scott Sorensen, CTO of Ancestry.com // Data Driven 19 // October 2013 (Hosted by FirstMark Capital)
- ▶ 23:09 Scott Sorensen There's an open culture in the data, in the kind of big data world, data science world, and we found that people at Facebook and LinkedIn and, and Netflix and, uh, Pinterest, you know, they're willing to share their stories if you're…
Adam Laiacano, Tumblr // Data Driven NYC 20 // Nov 2013 (Hosted by FirstMark Capital)
- ▶ 1:17 Adam Laiacano Um, everybody knows Netflix.
Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
- ▶ 20:22 Todd Papaioannou If you go and squint, you know, and look at kind of like Yahoo's architecture or Google or LinkedIn or Netflix or Facebook, they all look the same, but they all have different components that they've built themselves internally.
Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
- ▶ 9:59 Chris Moody Netflix announced after, after the closing that they announced their earnings, and they were horrible, um, and this graph represents the, the day after the day when the market opened after they had announced horrible, uh, earnings. 4 times in the scene