Google Cloud, every mention
7 scenes (2023), the whole family · ← back to Google Cloud
tap a year for its mentions
every year 2023 anyone Daniel Chia 17Spencer Kimball 14Nick Rockwell 12Matt Turck 11Amr Awadallah 7Ali Dasdan 5Aaron Katz 5Eliot Horowitz 3Anant Bhardwaj 3Solmaz Shahalizadeh 2
Verbatim, from the transcripts: the passages where Google Cloud comes up
How Glean AI Slashes Vendor Costs: CEO Howard Katzenberg on AI Accounting
- ▶ 7:27 Howard Katzenberg We had to differentiate between Google ads versus like Google workspace versus Google cloud and like all the different taxonomy that exists with that.
Custom LLMs at Scale: Lamini CEO Sharon Zhou’s Playbook for Enterprise AI
- ▶ 1:31 Sharon Zhou I've been doing this for almost, um, a decade, but before my PhD, I, uh, was actually a product manager at Google, um, so machine learning product manager on Google Cloud, uh, and I was enamored with product and user experience, and how I…
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs
- ▶ 24:26 Ori Goshen So, uh, with, with Google Cloud, you can basically consume our models through the marketplace and in the future through Vertex.
- ▶ 43:10 Matt Turck So you alluded to, um, you have a partnership with Google, uh, Google Cloud Marketplace.
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:36 Chris Wiggins Then all of that went away, and, um, through a story that we don't have time to go into, uh, we started kicking the tires on GCP, Google Cloud Platform, and at this point we have fast, reliable SQL access via, um, 2 times in the scene
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.