Amazon, every mention
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tap a year for its mentions
every year 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
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…
AI vs. Call Centers: ASAPP CEO Gustavo Sapoznik on the Future of Customer Service
- ▶ 8:41 Gustavo Sapoznik So transcribe is speech recognition, and it's primarily speech recognition for the contact center, which has very, very different acoustic properties than general purpose speech recognition like you can buy from Google or Microsoft or…
AI Medical Scribe Breakthrough: DeepScribe CEO Akilesh Bapu on Healing Doctor Burnout
- ▶ 14:38 Akilesh Bapu So at any given point, if Google releases a new version of its video model, um, we, the, the bandit will automatically learn whether or not it should be using that instead of Microsoft's or Amazon's, um, or whether it should keep using it.
Perplexity AI CEO on Dethroning Google & Redefining Search
- ▶ 29:25 Aravind Srinivas And if it's successful and it's growing, like we will commit to like, you know, running the company like Amazon, where there's AWS and there's core amazon.com simultaneously fueling each other.
- ▶ 29:25 Aravind Srinivas And if it's successful and it's growing, like we will commit to like, you know, running the company like Amazon, where there's AWS and there's core amazon.com simultaneously fueling each other.
- ▶ 34:53 Aravind Srinivas You can crawl, you can write a crawler, like rent a lot of, you know, EC two instances and keep doing it and like deduplicating it and keep expanding it.
- ▶ 49:03 Aravind Srinivas I think for the cloud, you can use AWS or Azure. 6 times in the scene
- ▶ 50:47 Aravind Srinivas From your Amazon account or something, or do you actually mean like OpenAI plugins? 2 times in the scene
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 21:02 Ori Goshen Uh, one of our, uh, you know, uh, one of the latest, uh, latest studies that were done by AWS show that actually our models are top performing at a rag at, uh, retrieval augmented generation. 2 times in the scene
- ▶ 24:36 Ori Goshen And, and, um, and in AWS, we offer our, uh, model through stage maker, uh, for customers who'd like to deploy these models.
- ▶ 24:47 Ori Goshen They're inside their VPCs and also, uh, in bedrock.
- ▶ 43:16 Matt Turck Uh, I also read that you have a big query integration, I guess, probably similar to what you did with, with Snowflake, and then a partnership with Amazon, uh, you know, listening to, um, what you described, uh, during this, this…
From Xbox to Databricks: Carly Taylor’s Rebel Path in Data Science & Gaming AI
- ▶ 35:02 Matt Turck And I guess what, what are the, you know, the way you recommend people get started is that, uh, you know, you need to have like all, uh, modern data stack in place or go buy Snowflake or just put a bunch of, um, data on, on an S three.
Reinventing Search with AI: Richard Socher on Building You.com & the Future of Google
- ▶ 36:05 Richard Socher Uh, you know, there are few exceptions like Amazon and Facebook, but like the vast majority of these small companies have had multiple founders.
Building LlamaIndex: Jerry Liu on Scaling Retrieval-Augmented AI
An AI Assistant to Work Faster with Notion's Head of Data, Daniel Sternberg
- ▶ 4:40 Daniel Sternberg We also have our own data lake infrastructure that we've built out ourselves on top of S three.
- ▶ 4:43 Daniel Sternberg We're in AWS, mostly in AWS today. 2 times in the scene
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:10 Chris Wiggins Um, it was, so when I showed up at the New York Times in 2013, if you wanted to get your hands on data, you needed to write your own MapReduce jobs in Hive and hit buckets of unstructured JSON sitting in S three.
- ▶ 20:55 Chris Wiggins That said, there is also a lot of work being done in AWS, and plenty of developer work happening on Amazon's Cloud, um, so the data stack is, in my team, the data stack is SQL and scikit, and occasionally Go, so it's scikit-learn is, is a… 2 times in the scene
Long Term Memory for AI with Pinecone Founder & CEO, Edo Liberty
- ▶ 11:42 Edo Liberty And then in 2016, um, uh, Swami Shiva Subramanian who now runs all databases and AI services in AWS. 3 times in the scene
- ▶ 12:25 Edo Liberty Like come to AWS and basically build SageMaker and all these other, uh, great services out of, uh.
- ▶ 25:37 Edo Liberty And the second thing is, having spent a lot of time in AWS, I got indoctrinated a little bit to be, you know, customer obsessed rather than competitor obsessed.
- ▶ 26:23 unnamed speaker Um, just wondering, since you've been on both sides of the world, like you were in AWS, and it's big tech, you've seen how it works, and now you are in the startup side of things, super fast-paced, constantly innovating.
Build and Deploy AI with Pytorch | Lightning AI Founder & CEO, William Falcon
- ▶ 7:57 William Falcon Thousands of GPUs and AWS.
- ▶ 24:17 unnamed speaker anyway, Cockroach Labs gave a talk here, and they were all open source, and then they ran into a, uh, issue with Amazon, and using their open source for, for profit, and it seems like you've said you've put some things in place for that,…
LLM Powered Search | Vectara Founder & CEO, Amr Awadallah
- ▶ 15:00 Amr Awadallah I have went through open source and I have the bottle scars from open source and how brutal Amazon is at competing with open source. 3 times in the scene
- ▶ 16:13 Amr Awadallah We charge in the same way that snowflake charges or Google BigQuery or Amazon Redshift.
A Conversation with Sarah Catanzaro, Amplify Partners
- ▶ 5:56 Sarah Catanzaro Um, I think what we learned back in, uh, 2017, 20 18, when there was a lot of hype around reinforcement learning, GANs, uh, things like AlphaGo, uh, things like Alexa, was that
Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
- ▶ 1:01 Jaime & Tobie Morgan Hitchcock DynamoDB and MySQL.
The 2023 MAD (Machine Learning, Artificial Intelligence & Data) Landscape
- ▶ 8:00 Matt Turck Why don't you just dump everything in S three, which is very cheap.
Build Fast APIs Faster Over Data at Scale | Tinybird Founder & CEO Jorge Gomez Sancha
- ▶ 4:09 Jorge Gomez Sancha To deploy applications, you might not need EC two.
The Composable CDP & The CX Hub | ActionIQ Founder & CEO, Tasso Argyros
- ▶ 10:51 Tasso Argyros And a lot of it revolves around the data lake or the data warehouse, whether it's a snowflake, Redshift, Databricks, um, and essentially what you're getting here in the middle is a customer data activation layer, which acts as a bridge to…
A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
- ▶ 19:27 Melanie Kambadur They want really, really advanced experts, whereas, you know, like, just a couple years ago, we were training with people who are paid, um, minimum wage on, on, like, MTurk, right?
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 0:41 Dimitri Sirota And that requires a way to look across, especially in the cloud, you know, hundreds of possible varieties of data sets from, you know, um, um, document DBs to, I saw your investor in Cockroach to everything that's possible in, uh, AWS,…
- ▶ 7:41 Dimitri Sirota So one thing to understand is while we started cloud native and AWS, we very quickly kind of realized that we needed to make the cloud runnable in GCP and Azure and in a private cloud, but also even in a, in a, uh, legacy data center.
- ▶ 18:17 Dimitri Sirota And we realized, you know, why don't we borrow a page from the playbook of Microsoft and Amazon and
- ▶ 30:45 Dimitri Sirota They couldn't even spell an API, uh, until really Amazon Web Services came out, mobile applications took off.
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 14:57 Spencer Kimball So if everyone in here is aware of Snowflake, I mean, they're, they're building on the, the cloud data storage primitives, like S three or Google cloud storage, and that's, that's a huge benefit by having that primitive, that's able,…
- ▶ 15:51 Spencer Kimball Ah, so most, it was introduced with, ah, I think, like I said, nothing's new in computer science, so I don't know what the very first usage was, but the one that I became aware of was AWS's Lambda. 2 times in the scene
- ▶ 21:45 Spencer Kimball So in other words, the way that AWS offers their databases to all of their customers.
- ▶ 26:43 Spencer Kimball When we started the company, it was, it was, I think, a good bet that that's, that was the right way for us to do it, and we operated under that until it started to become clear that open source business models were under threat, in… 4 times in the scene
- ▶ 27:19 Spencer Kimball And what Amazon did is they said, you know, we can, we can repackage the open core, put our own enterprise things around it, and most of the work's already been done for us to create this piece of software, and we're going to repackage it. 2 times in the scene
Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
- ▶ 4:39 Jack Berkowitz And we're on some of the data exchanges, you know, like the AWS one, or the Snowflake one, for example.
- ▶ 18:29 Jack Berkowitz Um, but our, our cloud stack is, is, you know, we're proud of the fact that it's in AWS.
- ▶ 18:44 Jack Berkowitz Uh, but, but on top of that, we, we build layers, so we use some of the Amazon data systems, we also use Databricks, we use Snowflake, and we use a few other vendors in terms of data lineage and security on top of those.
- ▶ 21:56 Matt Turck Are you, like, a SageMaker shop, or, like, what do you use? 3 times in the scene
- ▶ 25:35 Jack Berkowitz You know, AWS had an outage in December.
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 26:30 Matt Housley And, uh, this is something that's responsible for like a lot of horrifying AWS bills and horrifying snowflake bills.
- ▶ 28:51 Joe Reis Um, you know, so that was the rise of the ETL and the data warehouse, and then around the time of, um, you know, Redshift came out, and it suddenly had cloud, you know, and the possibility of, of running things much more cheaply and…
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
- ▶ 6:07 Alex Dean So we support Snowflake and Databricks and Redshift and BigQuery.
- ▶ 16:57 Alex Dean And, uh, and yeah, and it was just, it was just Yali and I in a room for sort of three years, driving each other potty, working on kind of project community fit. 3 times in the scene
- ▶ 18:54 Alex Dean Um, Redshift hadn't even come out yet, so we were just working with, um, Apache Hive on, on, on Elastic MapReduce, and it was a really clunky experience.
- ▶ 18:54 Alex Dean Um, Redshift hadn't even come out yet, so we were just working with, um, Apache Hive on, on, on Elastic MapReduce, and it was a really clunky experience. 3 times in the scene