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13 results for “ai positioning”
Topic6 mentions across episodes
positioning
The idea now is how do you take AI and not have it be something we call it you put at the edge alone, but you actually retransform the way you solve the customer's problem. So we have this phrase called AI at the core and AI at the edge. And the the
40:30 / 41:32
from transcript40:30 – 41:32
versus the companies that are just struggling and not getting anywhere and just having a hard time, What do you find is most common across the one the companies that are succeeding, shifting their culture and the way they work in this world of AI? An
39:33 / 40:58
from transcript39:33 – 40:58
But everyone else, they're gonna get pretty far on their own if you just give them the space and just tell them to go do the thing. A lot of times, you just have to tell people, like, hey. You can do something about this. I've talked mainly about wor
43:30 / 44:37
from transcript43:30 – 44:37
things that are applying to the people who are building the the AI, products too. So more broadly, I think there's there's a pattern that's starting to emerge for successful companies. Like, one is they are embracing AI and everybody becomes AI fluen
9:43 / 11:03
from transcript9:43 – 11:03
So if it feels like magic, it's AI in my book. In order to get to that, first, we root in real user problems. We make that technology, the experience disappear. We ask not how can we make the experience better or slightly faster is, like, how do we m
8:15 / 9:16
from transcript8:15 – 9:16
When you think about the distribution of value and usage in the model landscape, what do you think that looks like in three to five years' time? Yeah. I think the model companies are gonna have to start to become product companies way more. Do you no
44:58 / 46:04
from transcript44:58 – 46:04
I'd say it's kind of probably obvious that AI is essential in the SaaS world because if you are building product management platform, if you're building Zoom collaboration type of platform, if you're building data security platform, there's a lot of
3:37 / 4:49
from transcript3:37 – 4:49
Number one, they help leading companies in AI labs like Salesforce, Anthropic, and Meta enhance their LLMs with advanced reasoning, coding, multilinguality, multimodality, and more? Number two, they combine human and artificial intelligence expertise
1:02:55 / 1:04:06
from transcript1:02:55 – 1:04:06
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 organizatio
1:08:16 / 1:09:19
from transcript1:08:16 – 1:09:19
had spent most of my career building products at the center of machine learning and applications or businesses. And I think that to my surprise, a lot of the learnings have translated in terms of what makes a great platform, is what makes a great pro
35:58 / 37:00
from transcript35:58 – 37:00
What what do you think the audience can learn from that experience? Yeah. So the way that we've approached our AI initiatives, and kind of similar to what my other panelists talked about, is really looking at where can we provide the most value to sa
12:00 / 13:05
from transcript12:00 – 13:05
So you really need to figure out as you go. And the AI life cycle, both pre deployment and post deployment, is very different as compared to a traditional software life cycle. And so so a lot of old contracts and handoffs between traditional roles, l
6:46 / 7:47
from transcript6:46 – 7:47
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