Enterprise Data
topic on 7 shows · 14 statements across 13 episodes
Lenny's Podcast
No Priors
the Official SaaStr Podcast
Sourcery
the MAD Podcast
Big Technology
20VC
14 statements about Enterprise Data, every show
Lin Qiao: Enterprise data will never be shared with third parties
“It will never get shared with anyone else because this is company's proprietary IP.”
Enterprise Data Cleanliness Is Not A Major Barrier To AI Adoption
“I think if you approach it in the right way, then the cleanliness doesn't really matter that much because the models are so good at cleaning up the data if you give them the right context.”
Ghai: Proprietary enterprise data is AI's only truly novel asset
“I think what is truly novel and unique Is an enterprise's data. It's their data. It is a living record of their enterprise, its decisions, its actions, its operations, and through it, you can get, you can realize enterprise context for that bespoke organizatio…”
Ghai: 90% of Global 2000 enterprise data is unstructured
“It's not entirely well appreciated that 90% of an enterprise, the global 2090% of their enterprise data is actually unstructured.”
Foody: AI models will clean enterprise data as reasoning capabilities rise
“They'll be able to clean the data themselves fairly effectively as reasoning capabilities go up.”
Patel: Companies will differentiate AI models via proprietary, synthetic, and machine data
“And every company is going to differentiate based on their own proprietary enterprise data being used to train the models, synthetic data and machine data, which is where the most amount of growth is.”
Harris: Enterprises cannot dump all data into LLMs without security models
“You can't just like, I want to take all the data of an enterprise and dump it in one place, you know, and you're not going to dump it into an LLM because LLM has no security model.”
Siddharth: Enterprise workflow data does not exist on the internet
“To solve real world enterprise workflows, you need, ah, real world enterprise data, and that data doesn't exist on the internet.”
Snowfire AI calculates enterprise metrics and heat maps in under 24 hours
“So you load data, It performs all the calculations in less than 24 hours, gives you all the metrics, and then we score that for heat, and then we basically give you what's called a signal. And that signal is a contextualized set of data to take an action from.”
Gomez: Multimodal AI capabilities are table stakes for enterprise data
“But there's also like multimodal is Essential for understanding enterprise data, like PDF documents, where there's graphs and this type of thing, or understanding slide decks. A lot of the modalities that enterprises work in are visual. So it's sort of table s…”
Alexandr Wang: High-quality frontier data is 10,000x more valuable than enterprise data.
“One of the things that every, you know, all the model developers understand well, but the enterprises understand super well is that you know, not all data is created equal and high quality data or frontier data is, is, can be, you know, 10,000 times more valua…”
Seseri: Data readiness, not technology, is typically the biggest enterprise AI bottleneck
“And oftentimes there is a almost naive assumption that the data will be easy to leverage. Oh, it's an asset and we'll use it and leverage it. And it turns out that oftentimes is the biggest problem.”
Wood: AWS Is the Only Cloud for Privately Customizing AI Models
“Today we're the only place where you can take your own data, and we have customers With exabytes of data. You'd be surprised how many customers have exabytes of data on AWS, and they can take that data that they've invested in, and they can use it with these m…”