Amazon Web Services, every mention
8 scenes (2017) · ← back to Amazon Web Services
tap a year for its mentions
every year 2017 anyone Matt Turck 34Benedict Evans 16Ben Uretsky 10Prat Moghe 9Aaron Katz 9Spencer Kimball 8Ali Ghodsi 8Savin Goyal 7Aravind Srinivas 7Erik Bernhardsson 6
Verbatim, from the transcripts: the passages where Amazon Web Services comes up
AI Startup Predictions // Bradford Cross - A fireside chat with Matt Turck (FirstMark's Data Driven)
- ▶ 18:06 Bradford Cross They're looking at Amazon AWS and they're saying, shit, we missed it.
Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
- ▶ 3:02 Prat Moghe I mean, AWS was a clear leader a few years back, but now Azure's come along, and then Google's there.
- ▶ 6:54 Prat Moghe Um, what we've done is we've actually looked at how long it takes for these companies to actually move in the cloud and build around AWS, build around Azure, 6 times in the scene
- ▶ 12:54 Prat Moghe So then why do you care if this is AWS and Redshift and Azure in the East region and all that?
- ▶ 13:42 Prat Moghe Is at the bottom most layer you got cloud, which is AWS or Azure.
Rethinking Predictive Analytics // Yaniv Altshuler, Endor (FirstMark's Data Driven)
- ▶ 13:37 Yaniv Altshuler This is the raw data, also partially hashed, and the, the integration is just taking the data, the large CSV file, putting it on an AWS S-tree bucket that we created for this purpose, and telling the system which column we want to ask…
Leveraging AI in the Enterprise // Kuang Chen, Captricity (FirstMark's Data Driven)
- ▶ 8:55 Kuang Chen What if there was, just like AWS infrastructure became, made it a whole lot easier for developers, an AI infrastructure that made it so that business users could order up solutions that met these criteria, right?
- ▶ 20:02 unnamed speaker So if I say on one side on the AI, I have machine learning componentry from AWS, IBM, and certain aspects, and then