Amazon, every mention
36 scenes (2023), the whole family · ← back to Amazon
tap a year for its mentions
every year 2023 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
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.