Adam Field
speaker
174 appearances
1 recordings
1 series
first heard Jul 2026
last heard 19 Jul
Adam Field’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
Well, I mean, first to define dark data, most analysts say that it's 80 or more percent of information inside of an organization is, quote unquote, dark data.
So what does that mean?
In our world, it means most of that, 80 percent of that 80 percent is trapped inside of documents, things like contracts.
um and we uh annual reports but the term document itself has even evolved over the last few years to mean things like an email an email is a document it's unstructured contracts are unstructured no two contracts look the same no two emails look the same you think about the transcripts from phone calls coming into your contact center that's all unstructured dark data
And what that means is the reason they call it dark data is because those transcripts are sitting there, those contracts, those annual reports, those emails, those invoices are inside of your organization in documents, mostly now digital, but some still paper stored somewhere or scanned and stored somewhere for reference later.
But no machine or human are making use of it.
And that's the difference now.
So machine learning traditionally had made really good use of structured information.
What are your customers buying?
What are your suppliers supplying you?
How much are they charging?
What's the line items in your invoice?
We've been able to take advantage of that information for a very long time.
Just recently now, we've been able to take advantage of all of this dark data.
Because we can read these highly unstructured, multi-hundred page contracts, annual reports, millions of emails, and begin to break them up and put them in a place that now when you're serving your customer, or you're making an investment decision as a bank, or you're trying to evaluate risk as an insurance carrier, you can now look at all of that unstructured information in these documents alongside all of the information you used to look at and make better decisions.
And that's what these models are capable of doing.
So that's what's really exciting and new.
Well, look, I think in areas, let's say banking, for instance, we all know that any little bit of friction will increase the odds that this bank loses a customer.
Let's talk about even personal loans, commercial loans, any little bit of friction.
So the more they can understand about their customer and make decisions often in real time,
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