Alberto Pan

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352 appearances 1 recordings 1 series first heard Jul 2026 last heard 2 Jul

Alberto Pan’s voice in public audio — every appearance, attributed to the second.

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Eye On A.I. · AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, Denodo · 2 Jul 2026 podcast

And the percentage is even bigger if you take organizations that actually have a

AI in production.

So that suggests that you know, as organizations go into production, they realize that this is a a real problem.

Also, another problem that is mentioned in the study is that uh in these organizations, AI agents need data coming f uh from an average of 400 data sources, and more than 85% of organizations uh require more than 100 data sources, so these numbers are amazing.

and um almost seventy percent

Also, report problems, probably because of this data distribution, report problems getting agents to comply with consistent uh governance policies and consistent and consistent work rates, right?

So I I think that's the main conclusion that you can get from the report.

That the uh the reason why there is this trust gap, the reason why uh the agent sometimes

Yeah, overreach or or or or providing consistent results are is are mostly data problems.

I would say it's an architecture problem because as as you were mentioning before, initially AI was focused on analytics.

So it was based in these data warehouses, data lay house systems that force you to first copy all the data there.

So when you have a data replication process, you always have some latency.

So the data will never be 100% real time.

That's fine for analytics typically when you are trying to find trends or things like that.

Uh, but it's not good enough for many uh uh business workflows, right?

So that is why let's say the all foundation for AI is is is not good enough to to get uh real-time data.

As I said before.

70% of the of the organization said that even data that is one minute stale, you know, is is is not valid for some AI agents.

Yeah, because with with the with the nodo, you don't need uh to centralize the data upfront.

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