Jon Krohn
speaker
6,465 appearances
25 recordings
1 series
first heard Jul 2026
last heard 3d ago
Jon Krohn’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 — 25 in all, peaking in Jul 2026 with 9.
Appearances
The banter with Mark, you can tell they know each other really well.
Anyway, we're not here just to talk about Dreamforce.
We're here to talk about some meaty technical stuff for our listeners.
So you spent 13 years at Informatica building the metadata and AI products there.
And now you've been inside Salesforce for about 10 months post-acquisition.
Does that mean it's your first Dreamforce?
Sure.
And speaking of problems, what changed about the problem that you're solving when you went from being at Informatica, a data company, to being acquired by Salesforce, which is now an AI agent company, I'd say.
So it sounds like if you, in the agent world, if you had to be inspecting every grocery store can to find the tomato soup, that would be a lot of wasted tokens, I imagine.
And it seems like having bad data in this agentic world that we're now in is a far bigger problem than if, say, the data were just flowing into dashboards or something like you might have done a decade or two ago.
Do you want to tell us why...
Bad data are a bigger problem now than ever before.
the decisions.
Garbage in, gospel out.
That's going to stick with me for sure.
So given that with what you're saying, it's crystal clear that having the plumbing right, having the data quality right, an informatica-like backbone is essential to being able to have an effective enterprise agent system today, especially when you can have lots of different agents from different providers working...
each department in a business, or you could imagine even within one department, like a data science team, they might have multiple different agent vendors.
And so you need to have this single source of truth for metadata, for data.
So it sounds clear to me, actually,
To get agentic AI right in an organization, you need to be making a big investment in the data.
Showing 41–60 of 6,465 · page 3 of 324
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