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

But if you are a data scientist and you want to access the nodo data with a notebook, maybe you could use a technology like Arrow.

Or if you are creating

A web application on top of the data products exposed by the nodo, maybe you will use REST APIs, right?

Or if you are an A agent, you will probably use MCP.

All those are examples of interfaces that are available and that you can use to to query these data products that you create with the nodo across your data sources.

The problem of solving inconsistencies across data sources is very, very important in practice and it's crucial in the Nodo.

And yes, the Nodo provides ways to explicitly specify the meaning of each term and each piece of data in each data source, and also even to consolidate different formats in a uniform.

format, right?

Right.

So you you can go either way.

Either you can either expose in a consolidated data product the data in a single format, or you can also say, no, I have these different data products.

And the way, for instance, that disk API is computed in this data product is this one and the way it is computed in this other data product is this one.

Those data products have the full context to understand, okay, for instance, what data products should I use in this particular business context?

Well uh actually both options are available.

I would s I would say that today

Most of our customers use the nodo in the cloud, but uh actually uh the nodo can be deployed at any location, on premises, private cloud.

uh public cloud public cloud.

Is you're running the node in the cloud?

You can also choose between a SaaS model where basically we manage the infrastructure for you, or you can decide to manage the infrastructure yourself.

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