Unstructured Data
topic on 6 shows · 14 statements across 11 episodes
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14 statements about Unstructured Data, every show
Srinivasa: Insurers will never replace structured data with unstructured data
“I don't think that we will ever replace our unstructured, our structured data the way how we are doing it. We're going to supercharge the structured data with unstructured data because we are highly regulated”
Srinivasa: 80% to 90% of Erie Insurance's data is unstructured
“80 to 90% of our information are on unstructured data, and then structured data is what we use primarily for a lot of things.”
Levie: AI agents will trigger an explosion of unstructured data
“Agents are going to be this incredible consumer and creator of your unstructured data. They're gonna Read through every one of your contracts and generate all of your contracts. They're going to generate marketing assets. They're going to write reports for you…”
Ghosh: Semi-Structured and Unstructured Data Lakes Will Become Massive
“I think data lakes will see more and more semi and unstructured data because you can squeeze more enterprise value out of them, which has not been true. So infrastructure around semi and unstructured data lakes One of our companies, Aaron is working in that do…”
Bhardwaj defines unstructured data as anything non-queryable via SQL
“Anything that cannot be put into nice database tables where you can run SQL, anything that is not that is unstructured data.”
Bhardwaj: AI will automate filtering unstructured documents down to key reviewable items
“Whenever unstructured data like documents come in, humans will still see some kind of dashboard with like whatever stuff is, and only the thing of interest they will go and double click on. And AI will do a lot of things to minimize their time to get to that t…”
Bhardwaj: RPA cannot effectively process unstructured data due to variability
“You can't do robotic process for unstructured data because it's not it's not fixed. They change it. So anything will be very, very brittle.”
Schmidt: Prime AI targets are human-heavy workflows processing unstructured data
“The way to kind of just zoom out and think about this opportunity is like, where are there a bunch of humans that are basically dealing with whether it's voice or paper processes, where there's a bunch of unstructured data that they need to basically synthesiz…”
Tan: Most intelligent automation starts with parsing messy unstructured data
“Almost Every intelligent automation path starts with some messy unstructured data that you need to pull key outputs from.”
Goyal: Unstructured data extraction startups remain low-tier enterprise priorities
“It is very, very hard to motivate a large organization to prioritize the problem. And so you're always going to be a second or third tier priority.”
Huber: Vector databases primarily handle un-databased unstructured data
“Vector databases are primarily about unstructured data. It's actually taking data that had no database that knew about it and loading it in for the very first time. Most applications of this stuff is not about taking data that's already in your relational data…”
Deep learning excels particularly when applied to unstructured data
“Deep learning is a set of algorithms that is really not that different to machine learning in general. It can do anything that general machine learning can do, and in many cases better, but it really shines when you have unstructured data.”
Global unstructured data generation will hit 20 million petabytes annually by 2016
“Within the next two years, the amount of unstructured data that will be generated is somewhere in the twenty million petabytes a year figure.”