Topic

AI Strategy

How companies are building with and investing in AI.

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Concept27 mentions across episodes

Artificial Intelligence

Topic8 mentions across episodes

Artificial Intelligence

Concept2 mentions across episodes

Startups

designer's job could be automated by AI six months or nine months ago. You couldn't have told me that an architect's job could be automated by AI. A lawyer's job could be automated by AI. Turns out, increasingly in every vertical, these capabilities...

16:29 / 18:11
from transcript16:2918:11

and introduce this to customers. There is a challenge, though. There is a caveat that I would make. As a very new technology for an established organization, there are risks associated with any launch. That's why at Amazon, we use MLP as an acronym,...

12:44 / 13:51
from transcript12:4413:51

Everyone understood that unless you do that, you will not be efficient, and one way or another, it should happen or your competitor will do that. So that's what they were tasked with, and that's how Amazon got rid of or replaced many vendor managers...

37:30 / 38:31
from transcript37:3038:31

It will also give you an phenomenal access that will outperform and out innovate your direct competitors. More importantly, you will reinvent yourself faster this way. That's a clear learning from many technology companies. If you ask me whether you...

20:08 / 21:18
from transcript20:0821:18

The number two, lesson from that will be you will see the limitation of the system. Like, we all use, I guess, chat GPT. I mean, because I would assume more than daily, I think 100 times of a day. And then you see, well, I mean, it's not ideal....

15:46 / 16:55
from transcript15:4616:55

replacing some tasks or automating some elements of the workflow. So get yourself instantly, as an employee, go and try get in so it's a thing embedded into this AI ecosystem. Try tools. Build things. Build a game. Go to Claude. Pay whatever $10.20...

35:57 / 37:01
from transcript35:5737:01

especially when companies are selling to larger corporates, is is more of a forward deployed motion on the engineering side. I think many large companies are looking to start ups to better understand where and how to apply AI within their...

1:08:16 / 1:09:19
from transcript1:08:161:09:19

efficiency initiatives and marketing initiatives. And, set the goal and then go backwards from that goal. Go to the departments and give different department different tools and train them. I think without that, your competitor will do that, and...

38:14 / 39:15
from transcript38:1439:15

They move teams across different orgs for the reason because he that that's the skill that you build. So, yes, if you are a customer support employee or if you are in the very simplistic kind of set of activities, your tasks could be automated. I...

35:15 / 36:27
from transcript35:1536:27

Every investment firm is unique and generic AI doesn't understand your process. Rogo does. It's an AI platform built specifically for Wall Street connected to your data, understanding your process, and producing real outputs. Check them out at...

14:47 / 16:02
from transcript14:4716:02

Like, what matters is, like, what is based on the, like, very nuanced limitations of the technology, What is it capable of? And then how do you maximize the leverage it gives a software engineering team given those very nuanced trade offs coupled...

20:07 / 21:23
from transcript20:0721:23

and pitching some AI application? What have you learned these last few years selling your AI feature set into and your enterprise customer base? I think if you wanna target any of our customers, make sure. Right? And be patient. That's one. The The...

9:44 / 10:45
from transcript9:4410:45

You start with the, common tools that which you already were already all familiar with. And then, like, OpenAI, chat g chat GPTs of the world, custom GPTs. You go deeper so that you actually explain ideally hire external people to explain these...

36:41 / 37:49
from transcript36:4137:49

than your own internal understanding and knowledge, and that's your huge advantage as an enterprise leader. So you can build by bringing the right talent in house, you can build so many tools in general, like procurement tool to improve your account...

21:00 / 22:00
from transcript21:0022:00

So what should early stage founders building an AI be thinking about in your opinion? Traditional ways of thinking around barrier to entry doesn't exist anymore. You know, just being first to something doesn't help. Frankly, arguing that you're, you...

12:42 / 13:53
from transcript12:4213:53

We all know that, corporates are slow, sometimes a bit more bureaucratic than needed. But the strength of corporates is their access to data, customers, supply chain. So use that as your advantage. More importantly, a small win across the portfolio...

18:38 / 19:49
from transcript18:3819:49

or Speedrun or Entrepreneur First offer a perfect opportunity for that. Mercury, for instance, works with 50% of every single YC batch and then grows with those companies over time. Every single new startup still needs a CRM. Every single new...

17:13 / 18:35
from transcript17:1318:35

size. It's not intestinal fortitude from Sethia. I think there are other big companies that you really worry that they, like, actually are not gonna be able to get the product in because they're gonna let organizational stuff get in their way. I...

22:28 / 23:30
from transcript22:2823:30

And he educated himself with these tools. He tried to deploy. He failed. And I think doing this kind of things to be then with advisers in the room and become even more knowledgeable, I think that's important. I would refer again to you mentioned,...

44:57 / 46:02
from transcript44:5746:02

We all need to think global, create global companies out there, and just think how to invest massively massively in AI as everyone in The US is doing today. What do you believe that most around you disbelieve? Creating a company is harder than they...

1:00:38 / 1:01:47
from transcript1:00:381:01:47

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