Arvid Kahl

speaker
22,801 appearances 96 recordings 1 series first heard Aug 2024 last heard 3 Apr

Arvid Kahl’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months
5 · Jan OctJan 26AprJulnow

Recordings per month over the last 12 months — 23 in all, peaking in Jan 2026 with 5.

Appearances

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Maybe they want to track brand mentions, maybe they want to figure out what people are talking about right now. podcast-host
And maybe they want to see what a particular kind of podcast is discussing so they can check if they should sponsor it or place an ad. podcast-host
There are many different ways this data can be used, and I find that the more effort I make to increase the data fidelity, its completeness, accuracy, currentness, freshness of this data, the more people find value in it. podcast-host
And the shape it comes doesn't really matter. podcast-host
It doesn't matter to them how exactly they access it, how hard it might even be to access that data. podcast-host
As long as the data exists, they will try to find a way to get to it. podcast-host
It can be a clunky user interface that's kind of hard to use, could be an API route that is restrictive and equally incomplete. podcast-host
Doesn't matter. podcast-host
They will find a way because it's the data that is relevant, not the means of accessing it, not the software. podcast-host
Built around it. podcast-host
Here's the flip side of this. podcast-host
If you run a software business that is purely transformative, that takes incoming data, some kind of thing, some kind of data bunch, it does something to it, and it turns that data back out, creates new data from it, that will be a problem. podcast-host
Because transformative algorithms are something that agentic AI systems are extremely good at right now. podcast-host
When you say, hey, ChatGPT or Claude or whatever, take this Excel sheet. podcast-host
generate a report from it, turn it into a PDF, and then email it to this account. podcast-host
It will do all of this autonomously without your input, without anybody else's input, without needing an external service. podcast-host
It understands how to parse an Excel file. podcast-host
It can run analytical queries on its content. podcast-host
It can render a PDF and it can send an email. podcast-host
All of these are tiny steps that somebody has already implemented or that the system itself is smart enough to implement on the fly. podcast-host
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