Nike, every mention
14 scenes, the whole family · ← back to Nike
tap a year for its mentions
every year anyone Dimitri Sirota 4Shreya Rajpal 1Richard Socher 1Rich Waldron 1Peter Semmelhack 1Jordy Leiser 1Jeremy Kahn 1Jeff Glueck 1Dennis Mortensen 1Benn Stancil 1
Verbatim, from the transcripts: the passages where Nike comes up
Box’s Big AI Leap: Aaron Levie on Agents & the Future of Work
- ▶ 16:48 Aaron Levie And like, it was obviously like the weirdest, like everyone's doing like, I'm going to choose Nike and I'm going to choose, you know, Walmart.
AGI, The Future of AI Agents And The Next Wave of Opportunities in AI | Richard Socher, CEO, You.com
- ▶ 58:22 Richard Socher But if your career depends on it, right, you're going into meeting, you say, Nike had this much revenue last year, and people are like, where are you getting your facts from?
An inside look at “Mastering AI” | Jeremy Kahn, Author & AI Editor, Fortune
- ▶ 38:43 Jeremy Kahn Recommending that you buy Nike shoes because Nike paid OpenAI a lot of money to recommend, you know, to make sure that their, their shoes ranked higher in the chatbot recommendations.
Guardrails AI: The Playbook for Safer, Hallucination-Free LLMs — Shreya Rajpal Explains
- ▶ 27:46 Shreya Rajpal If you're a company, you don't want somebody to ask your question about, like, okay, who's the best, like, uh, I don't know, who's the best, like, uh, uh, tennis shoe company, and, you know, you're Nike, and somebody else, like, says Asics…
Data Visibility & Control | BigID Co-Founder & CEO Dimitri Sirota
- ▶ 11:45 Dimitri Sirota So I think we were six people when we sold our first enterprise customer, Nike, and I sold it from like the backyard in Mamaronek in Orienta.
- ▶ 22:27 Dimitri Sirota Uh, don't, don't tell Nike. 2 times in the scene
- ▶ 29:39 Dimitri Sirota The reason I was able to sell Nike, I think we only visited them once before they gave us a check for, 400,000.
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 25:56 unnamed speaker A company like, you know, Nike might be a good example, um, where they're not really tied to one OLTP or one OLAP.
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)
- ▶ 11:16 Rich Waldron It allows you to, it has a very large database of organizations and the IPs that attract against them, and it will therefore tell you, okay, you know, this person works at Nike or whichever the organization will be, and it will return that…
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 5:16 Benn Stancil Uh, similarly you can look at ads from Smith and Liggett, uh, or Nike and know which one of these ads is good.
5 Key Learnings About Intelligent Agents // Dennis Mortensen, x.ai (FirstMark's Data Driven NYC)
- ▶ 16:54 Dennis Mortensen So we would sign up Nike or VMware or Electronic Arts, and I would be super happy about it, but then we started to see that, ah, they became very selective about who do we get access to this particular agent, because in the olden days,
Location Intelligence // Jeff Glueck, Foursquare (FirstMark's Data Driven)
- ▶ 3:09 Jeff Glueck Hey, I want, I want an advertiser to, like, you know, let's say Nike comes, and they want to put a new shoe filter, and they want, let's say, I want to put this geo filter over, in 42 countries, every independent, ah, gym, and I want to…
Jordy Leiser, StellaService // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
- ▶ 3:11 Jordy Leiser So today on Google, if you were to type in search for Nike shoes, see something that looks like this, pretty typical, right?
Panel Discussion // NYC Data Business Meetup // May 2013
- ▶ 19:13 Peter Semmelhack Um, take examples like Fitbit and FuelBand and those, they do sell the thing, but what they're really trying to do is get you to buy other things that have to do with the services associated with it.