Amazon, every mention
73 scenes (2024), the whole family · ← back to Amazon
tap a year for its mentions
every year 2024 anyone Matt Turck 122Benedict Evans 33Bob Muglia 25Spencer Kimball 18Prat Moghe 18Evan Kaplan 16Justin Borgman 15Tristan Handy 14Nate Stewart 13Aaron Katz 13
Verbatim, from the transcripts: the passages where Amazon comes up
Dataiku's Secret to Scaling AI in Global Enterprises | Florian Douetteau, CEO, Dataiku
- ▶ 29:41 Florian Douetteau I think very important because what matters, I think, for the enterprise is not just to have the variety of models you can have within one provider, as in, within AWS Bedrock, you can have lots of different models, uh, and same on the…
- ▶ 48:50 Florian Douetteau Amazon or Databricks or Snowflake provide new technologies that we can integrate in order to further push the bar of what's simple to do in the enterprise, and that's our focus.
Building the Easy Button for Generative AI | May Habib, CEO, Writer
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 16:36 Nathan Benaich Amazon also has Amazon AGI, like they pseudo-acquired, um, Adept for this and a few others. 3 times in the scene
- ▶ 16:36 Nathan Benaich Amazon also has Amazon AGI, like they pseudo-acquired, um, Adept for this and a few others.
- ▶ 41:57 Nathan Benaich And sort of like these massive pseudo majority investments between like Microsoft and OpenAI or Anthropic and, um, and Amazon.
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 0:21 Matt Turck Meta, Google, and Amazon are on track to invest two hundred billion in AI infrastructure.
- ▶ 3:57 Matt Turck The three top companies, MetaGoogle and Amazon, are on track to invest two hundred billion in AI infrastructure this year. 2 times in the scene
- ▶ 27:06 Matt Turck And then, you know, Meta was very bullish as well, AWS as well, like another quote this time from AWS. 4 times in the scene
- ▶ 30:33 Matt Turck But on the other hand, if you hadn't invested at all during that period, you would have missed on Amazon, which was founded in, in, in, uh, you would have missed on Google that was, uh, founded in, uh, in 98 and you would have, uh, missed…
- ▶ 45:57 Matt Turck Amazon and Google
Can AI Infrastructure Work Like Magic? Erik Bernhardsson, CEO, Modal
- ▶ 4:05 Erik Bernhardsson Like AWS, GCP, Azure, etc.
- ▶ 18:14 Erik Bernhardsson We use AWS, we use GCP, we use Oracle.
- ▶ 29:49 Erik Bernhardsson I tend to think about that as like the cloud itself, you know, I'm old enough to like, I, I, I, I, you know, started my career pre-cloud and I remember the first time I heard about AWS, you know, in 2007, 2008 or something when they…
- ▶ 35:16 Erik Bernhardsson Like, I look at, like, AWS, like, you know, you could argue, like, is AWS a commodity? 2 times in the scene
- ▶ 35:22 Erik Bernhardsson but like at the end of the day, like EC two is like what, like, you know, 50, 60, 70% margins.
- ▶ 45:08 Erik Bernhardsson I look at, I mean, to me, like actually like the best companies and, and, you know, that, that I look at for inspiration would be like, you know, Datadog or Mongo or something like that, like started with, or AWS actually, frankly, like…
The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
- ▶ 13:45 Jordan Tigani Because of separation of storage and compute, that other data just sort of sits there and is culled on, you know, on AWS S three,
- ▶ 19:06 Jordan Tigani Uh, you know, BigQuery and Redshift and, um, and this thing that I'd never heard of called DuckDB.
- ▶ 27:21 Jordan Tigani And, um, and it ends up being something that's kind of a trivially clonable by, you know, AWS, uh, or, you know, Google or somebody else.
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 28:50 Clement Delangue So at the time it's like a Siri Alexa, but, uh, we wanted to make it entertaining.
AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CEO, You.com
- ▶ 27:54 Richard Socher Uh, and I can now go on AWS and spawn up your new hardware, like,
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 5:00 Tobie Morgan Hitchcock So, we were using these different databases and the management of that in terms of managing four different databases, even in AWS, ensuring that they're up, working as you want them to be, updated in the right ways when you're updating an…
- ▶ 41:14 Tobie Morgan Hitchcock We then connect our compute loads to that, but the data itself is actually residing in object storage, so S-three in AWS situation, and that gives us nine nines of durability on the data that resides there. 2 times in the scene
- ▶ 41:14 Tobie Morgan Hitchcock We then connect our compute loads to that, but the data itself is actually residing in object storage, so S-three in AWS situation, and that gives us nine nines of durability on the data that resides there.
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 5:01 Mike Freedman Tiered storage transparently tiers huge tables on both high performance disk and bottomless S three object storage.
- ▶ 6:08 Mike Freedman In fact, not only is Timescale a better database for time series than vanilla Postgres, including compared to both Amazon's RDS and Aurora, but it is also better than custom-built
- ▶ 6:08 Mike Freedman In fact, not only is Timescale a better database for time series than vanilla Postgres, including compared to both Amazon's RDS and Aurora, but it is also better than custom-built
- ▶ 6:18 Mike Freedman proprietary time series databases like InfluxDB and AWS Timestream, even with their NoSQL limitations.
- ▶ 10:27 Mike Freedman Uh, the monthly costs of running such a PG vector scale deployment on AWS is 75% less expensive, uh, than PyIncome.
- ▶ 16:31 Mike Freedman Amazon Redshift is actually a fork of Postgres eight.
- ▶ 25:07 Mike Freedman There's a lot of stuff that's really, we're taking Postgres in a cloud native approach. 2 times in the scene
AI at ZoomInfo: Superpowering GTM teams | Ali Dasdan, CTO, ZoomInfo
- ▶ 5:39 Ali Dasdan You can go to, you know, AWS, uh, Databricks, 2 times in the scene
- ▶ 9:10 Ali Dasdan We are using both, uh, Google Cloud as well as Amazon Cloud.
- ▶ 38:40 Ali Dasdan Uh, there's also, as you know, either GC or AWS are providing, uh, 2 times in the scene
AI at Ramp: Making Every Team Radically More Productive | Eric Glyman, CEO, Ramp
- ▶ 4:50 Eric Glyman And the premise was, let's say you bought something at Amazon, Best Buy, Macy's, whatever.
- ▶ 16:38 Eric Glyman Um, AWS is, um, you know, like a lot for a lot of our storage and core app.
- ▶ 47:00 Eric Glyman Um, Google, AWS, Meta, Stripe, you name it, all of that.
Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
- ▶ 17:09 Sharon Zhou Uh, that's why we threw up our own cloud, because there was just, uh, like, large companies with, um, multi-billion revenue numbers could not get a node from AWS, despite their accounts being tens of millions or hundreds of millions with… 2 times in the scene
From Business to Warfare: How AI Affects the Modern World | Azeem Azhar
- ▶ 8:55 Azeem Azhar That power was part of the point that I was making was that you couldn't use the traditional lenses of, you know, monopoly to look at companies like Amazon or Apple and so on.
- ▶ 28:39 Azeem Azhar Amazon does or more like, you know, Facebook when it was Facebook rather than Meta, which is that there's just lots of experimentation on the edges.
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 11:30 Aaron Katz And, uh, yeah, we then had to decide what cloud provider we were going to start with and we chose AWS and we then have subsequently deployed on GCP and we'll be deploying on Azure and launching that service in public bait in two weeks on
- ▶ 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. 3 times in the scene
- ▶ 25:48 Aaron Katz Um, in the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery, uh, and Redshift, and Snowflake, um, either for
- ▶ 36:28 Aaron Katz Uh, we do a lot of the regional events, the regional AWS events, and then we do a ton of meetups.
How Airtable is Ushering 500,000 Organizations Into The Era of AI | Howie Liu, CEO of Airtable
- ▶ 17:57 Howie Liu And, you know, some common patterns emerge, like, you know, a lot of marketing orgs, but we actually just had, um, somebody from Amazon Web Services present on stage at a conference we did today about how they're transforming every part of…
- ▶ 18:10 Howie Liu With Airtable plus AI, in this case, they used, uh, our bedrock offering of AI for themselves, so kind of very meta, but, you know, they're able to go and automate, like, a lot of parts of campaigns planning, and, you know, how they…
- ▶ 18:31 Matt Turck And so, um, talking about bedrock and, and, and all the things, so like, how, how, 3 times in the scene
- ▶ 19:38 Howie Liu And in the case of Bedrock, you know, because we as a service are hosted on AWS, Bedrock itself is an AWS offering. 3 times in the scene
AI, Data and Blockchain: a VC perspective | Tomasz Tunguz, Founder of Theory Ventures
- ▶ 12:41 Tomasz Tunguz From the top three clouds, which, uh, it's, it's, uh, and it just keeps going up, and you see Amazon 2 times in the scene
- ▶ 20:18 Tomasz Tunguz Um, and as the cost to train all these large language models becomes bigger and bigger, Amazon's talking about a billion dollars for a single run or ten billion dollars for a single run.
- ▶ 36:08 Tomasz Tunguz But you look at like Amazon, Google, Facebook, Microsoft, all are under an attack trust and basically impossible for them to acquire.
- ▶ 36:55 Tomasz Tunguz Because the clouds themselves, you look at Redshift in the buyer's mind has really fallen behind in the next generation cloud data warehouse.
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 18:49 Renen Hallak The, the fourth piece of the platform, in addition to the data store, data base, and data engine, is what we call the data space, and that allows us to go across geographies, and so now you can run a vast instance in, uh, public cloud AWS…
- ▶ 20:25 Matt Turck Uh, so cloud that's going to be the AWS's, the S-III's of the world possibly.
- ▶ 20:25 Matt Turck Uh, so cloud that's going to be the AWS's, the S-III's of the world possibly.
Navigating the AI Landscape: A Survival Guide | 2024 MAD Landscape with Matt Turck and Aman Kabeer
- ▶ 15:33 Matt Turck You could very much argue that, um, the storage layer of an AWS versus a GCP versus an Azure, uh, is entirely not differentiated.
- ▶ 43:52 Matt Turck I think the, you know, the idea that, um, you should have, uh, a bunch of your data in, uh, one of those, uh, amazingly elastic repositories, uh, whether that's, uh, a data warehouse kind of, uh, thing like a snowflake, uh, or redshift, or…
Is AI a platform shift or a paradigm shift? With Benedict Evans
- ▶ 6:48 Benedict Evans You can still buy them on, on Amazon.
- ▶ 14:06 Benedict Evans You don't look at that and say, well, that's just an AWS wrapper. 2 times in the scene
- ▶ 33:37 Benedict Evans There are other scenes, like there was a VR scene, to some extent there still is, um, although it's out of reach of hobbyists now, but there was a VR scene, Palmer Luckey made the original Oculus like himself out of components he bought on…
- ▶ 36:56 Benedict Evans Um, and there was a thing in 2018 where Amazon had an internal project to use machine learning to filter resumes, CVs, because obviously they're hiring a huge scale, and what they find is that historically they mostly hired men, and so the…
Foursquare’s Remarkable Transformation Into Leading Location Intelligence Platform | Gary Little
- ▶ 6:29 Gary Little One analogy I like to use for the team internally is what we've been up to over the last three years is really similar in some sense to Amazon building AWS many moons ago. 2 times in the scene
- ▶ 6:29 Gary Little One analogy I like to use for the team internally is what we've been up to over the last three years is really similar in some sense to Amazon building AWS many moons ago.
2024 will be the year of ENTERPRISE AI | Florian Douetteau, CEO of Dataiku
- ▶ 0:28 Florian Douetteau AI and ML Partner for the year for Databricks, Snowflake, AWS.
- ▶ 19:39 Florian Douetteau Yeah, so we, we built, ah, this in order to essentially integrate with all of the vendors on the market, integrating with Hugging Face, AWS Bedrock, OpenAI, and, ah, Google.
- ▶ 23:40 Florian Douetteau Yeah, we were honored to be last year both AI and ML partner for the year for Databricks, Snowflake, and AWS, which is great, meaning we can work with everyone. 2 times in the scene
AI's Killing Marketing. Ecosystem-Led Grow is the Future | Bob Moore, the CEO of Crossbeam
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 3:43 Tristan Handy And the, the big dividing line there for me was Redshift and not specifically Redshift because there have been now been other databases that have come out that are, that are like Redshift, but it's the, it is the year that the cloud first… 2 times in the scene
- ▶ 17:02 Tristan Handy AWS and, and, uh, and Azure and Google kind of sit at the top of this food chain and then people like me and George just get to figure out what everybody else above us is doing.
- ▶ 33:05 Tristan Handy Um, I mean, in 2016, Redshift
Bootstrapping a Decacorn on $15k with Celonis CEO Alex Rinke
- ▶ 20:38 Alex Rinke We, we, we know, so, so we, we know it's not good to promise your customer, like you've always bought something on Amazon and you get really annoyed when they promise you we're going to show up on Wednesday and they're going to, they…