Google, every mention
36 scenes (2021), the whole family · ← back to Google
tap a year for its mentions
every year 2021 anyone Matt Turck 174Benedict Evans 40Spencer Kimball 37Dylan Patel 30Amr Awadallah 29Sridhar Ramaswamy 24Johnny Graettinger 23Jordan Tigani 20Neil Zeghidour 19Noah Weiss 18
Verbatim, from the transcripts: the passages where Google comes up
Fireside Chat: Mark Grover (Co-Founder & CEO, Stemma) with Matt Turck (Partner, FirstMark)
- ▶ 0:51 Mark Grover Uh, with BigQuery, Snowflake, and other newer data warehouses, making it really easy for you to store tons and tons of data.
- ▶ 5:09 Mark Grover A curated data catalog is a catalog that generates essentially blank wiki pages for your data, and you may have a wiki page for a data set in ClickHouse or in Snowflake or in BigQuery, something like that, and then you may have a blank…
- ▶ 10:15 Mark Grover So, and then it ends up becoming like a Google search for your data based on all these metadata systems and kind of creating a page rank algorithm, showing you various different intricate pieces of information from a few of these systems.
- ▶ 13:03 Mark Grover Or, uh, built-in access control in a system and in a data warehouse system like Snowflake or BigQuery or something like that.
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…
- ▶ 8:45 Matt Turck Which is the, the, the Google of Russia. 2 times in the scene
- ▶ 11:46 Aaron Katz And I, I, we had dinner together five or six years ago in San Francisco, and I watched as he moved to Google and was doing amazing things within Google cloud and more broadly running server lists and developer tooling.
- ▶ 14:34 Aaron Katz We've also seen companies partner very effectively with, um, with AWS, Google, Microsoft, and other cloud service providers.
- ▶ 16:04 Aaron Katz A multi-tenant managed service in the cloud, which will inevitably be deployed on a variety of different cloud platforms, whether it's AWS, GCP, Azure, whether we go to China, like I've done in the past and partner with companies like…
- ▶ 18:02 Aaron Katz You've got Redshift, BigQuery, Snowflake.
Top 10 Trends in AI, Machine Learning and Data for 2022
- ▶ 3:53 Matt Turck We also have a MAD index of public companies that you can find on my blog, which is like searching on, on, on Google, and we have a, an index of MAD emerging companies as well.
Fireside Chat: Ali Ghodsi (Founder & CEO, Databricks) with Matt Turck (Partner, FirstMark)
- ▶ 21:08 Ali Ghodsi Um, you know, I'll start by saying, you know, it's kind of like people make it about zero sum, but if you answer it like this, do you think Google Cloud will eliminate Amazon Cloud and Microsoft Cloud, or do you think, you know, Amazon…
- ▶ 21:35 Ali Ghodsi Maybe BigQuery would give them a run for their money.
- ▶ 31:37 Ali Ghodsi They could be the next Google.
Fireside Chat: Florian Douetteau (Founder & CEO, Dataiku) with Matt Turck (Partner, FirstMark)
- ▶ 6:17 Matt Turck And could you maybe, uh, paint a picture of, um, you know, the, the, the things, right, like Facebook, Amazon, Google, uh, on the one hand, and then, you know, the remaining 99.5% of the, of the world, and what that means in terms of… 3 times in the scene
Fireside Chat: Dev Ittycheria (President & CEO, MongoDB) with Matt Turck (Partner, FirstMark)
- ▶ 26:19 Dev Ittycheria So Google may have some capabilities that are better than Amazon and Amazon may have some capabilities better than Azure and vice versa.
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 12:51 Dave Burgess And visual searches, it's actually, if you do like a, a comparison between the visual search and Pinterest, so just take a photo or something or, or get a picture and then upload it and see, see what the results are between Pinterest and… 2 times in the scene
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 3:58 Bindu Reddy This is what you see used in Pinterest, is what you'd see used in Google, uh, you know, and basically it's nothing more than getting labeled data and using that labeled data to train a neural net.
- ▶ 7:12 Bindu Reddy So if you look at a company like Google or Facebook, almost all of their models, like, 95% of their models are neural net based.
- ▶ 12:25 Bindu Reddy So, uh, there is a very sophisticated data engine that has been written, which can process data at scale.
Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
- ▶ 6:20 Chip Huyen Um, and, and, and then from my, uh, I think, um, I think Google has, um, um, okay. 3 times in the scene
- ▶ 6:33 Chip Huyen whenever you, um, so, so after, from, in 2016, I think Google has this article about how to use deep learning for, for Google Translate.
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 1:09 Jack Hanlon And then two years later I was working at Google, the world changed.
- ▶ 9:45 Jack Hanlon For a variety of prod systems, we actually transit almost all that stuff over to GCP, and we use TensorFlow and BigQuery for our analytics and our model concerns for a variety of reasons that we could spend all of our time just talking…
- ▶ 9:45 Jack Hanlon For a variety of prod systems, we actually transit almost all that stuff over to GCP, and we use TensorFlow and BigQuery for our analytics and our model concerns for a variety of reasons that we could spend all of our time just talking…
- ▶ 11:17 Jack Hanlon And I mean, Colab, certainly, because we're on, we're on Google, the Colab notebooks and Jupyter notebooks work well for us there.
- ▶ 11:17 Jack Hanlon And I mean, Colab, certainly, because we're on, we're on Google, the Colab notebooks and Jupyter notebooks work well for us there. 2 times in the scene
- ▶ 17:52 Jack Hanlon You know, you can see the type of research that comes out of it, but also, you know, Google, Facebook, Microsoft, and OpenAI all used Reddit's data to train their conversational AI models.
- ▶ 22:49 Matt Turck Folks, um, Mohammed asks, uh, what motivated the move to GCP from AWS to, to the extent you can talk about it?
- ▶ 23:47 Jack Hanlon So we'd really have to love them to make that change GCP with the other tools we built on top of it and things we've built in it, including so much of our ML infrastructure, um, is, is serving as well, but you know, there's significant…
Fireside Chat: Guy Podjarny (Founder & President, Snyk) with Matt Turck (Partner, FirstMark)
- ▶ 21:11 Guy Podjarny Uh, Trend Micro, and like a lot of players in the ecosystem, the Linux Foundation, Google Chrome,
Data Observability and Pipelines: OpenLineage and Marquez
- ▶ 9:54 Julien Le Dem It was like, before you have all those projects that are interested in metadata, Amundsen, DataHub, Marques, Atlas, that have to build all those integrations with all those projects, whether they're the Sparks, the Pandas, uh, the…
- ▶ 20:15 Julien Le Dem We have a Google group.
- ▶ 25:03 Julien Le Dem I started to reach out to usually, you know, the household, um, if you think of the big queries and the snowflake, 2 times in the scene
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 15:25 Matt Turck Um, so just to, uh, just to reiterate, um, so, so precisely to this point about, uh, data warehouses, uh, what, what's the status of, uh, the integration, uh, with a Snowflake or BigQuery or others? 2 times in the scene
- ▶ 20:50 Wes McKinney Um, and the new company, URSA Computing, uh, raised, uh, Razor Venture Round, uh, led by, uh, led by GV.