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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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
So we provide a lot of uh deployment options.
We typically work with very big organizations.
So I think for these types of organizations, giving them a flexibility in the type of deployment is very important, right?
Because for instance, sometimes they are accessing very sensitive data.
uh so maybe they want that for this particular use case they want the nodo to sit on premises data because that data is not in the cloud.
So we we try we really try to give that flexibility to to our customers.
Probably the main change between agentic AI and the and the initial iterations of Gen AI applications is that, well, we have just mentioned a minute ago, right?
The the first GI applications were for data analytics.
So they were about helping humans to get information to make better decisions.
Um
And now we are seeing a new phase that maybe we could call then agentic AI or operational AI, where basically agents are being embedded directly into the into business workflows.
um I don't know to manage, I don't know, customer incidents or insurance claims or logistics.
So this is just it's no longer only analyzing data.
Uh it's real time decision making.
And I think that's where traditional data management architecture starts to break down because if you think about it, traditional data management architectures, data warehouse,
data league house and so on, they were built for analytics.
So while AI remained
Confined to analytics, I think this was
Mostly fine.
Obviously there there are also limitations there, but it was mostly fine.
Showing 61–80 of 352 · page 4 of 18
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