Alberto Pan
speaker
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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Appearances
And in twenty twenty five, uh uh revamping where data architecture for AI was like in fifth place or something like that, or sixth place, and now it's the first place, right?
And I I think uh that changes because of this realization that uh that where r the the failure modes really really are.
Yeah, um
Well, I I think that for most organizations the lighthouse is is part of the solution, right?
Um it contains a a lot of valuable data, it's a great foundation for data analytics and data science.
But I also think it is not enough.
Even in in the world before AI, there will always be data that is not in the lighthouse, you will sometimes need to access real time data, you will need
Strong semantics across several data sources.
So even in the world before of AI, we think that layhouses were not the final answer.
It's very useful, but not the final answer.
But with AI, all those problems are multiplied.
And that is why we think that this new data foundation is needed.
So our recommendation would be
Leverage the investments that you have, the data sources that you have, but prepare this common infrastructure, right?
uh data infrastructure that goes beyond central system that actually covers all your systems uh and ensures that your semantics, your governance and so on is is defined there.
And this is also very related to
What organisations should avoid, what organisations should not do?
Well, I I I see a lot of companies falling into what I call the ad-hoc trap, meaning that, you know, s since because these traditional architectures have limits for the new use cases.
And there's so much pressure to to deliver results.
It's tempting to take shortcuts, right?
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