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 over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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So it makes it easy for people, and of course, also today for AI agents, not only to get access to the data that they need, but also to understand how this data should be used in different business contexts, right?
And and and a big difference between the nodo and traditional uh data management architectures is that the nodo does not force you to consolidate everything upfront uh in a central system, like right, like in traditional data warehouse or lighthouse architectures.
With the nodo, you can query the data where it lives.
And this has a number of benefits.
Uh first it it removes the the button.
That are typically associated with centralization.
Also allows accessing the data in real time where it lives, as I mentioned.
and also allows users and agents to get access to all the data.
Um because typically in in many organizations what you have in the central systems and data warehouses or really houses is only a small percentage of the data.
So with the nodes you can actually get access to.
To all the data.
Uh and we call this uh typically um a logical data management.
Because well you don't need total physical data replication, right?
And the and the underlying technology that uh allows this is is is called in the market typically uh data virtualization.
Well um uh natural language is one of the of the interfaces supported and obviously we are using uh Gen AI for that.
But actually you can also consume the data with more traditional interfaces.
For instance, actually what we try to do is to deliver the data so it can be consumed with any tool.
So for instance if you are accessing
um the data products that you create with the nodo with tools like Power BI or Tableau, you you will probably access them using technologies like JDBC or ODBC, right?
Technologies oriented to SQL.
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