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.

Trend

recordings per month · last 12 months

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

Appearances

newest first · ▶ plays the moment

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 when we are starting to extend in the scope, I think that's that changes things significantly and and that is having a a big impact also in the I think in the nodo and and in the perception.

Of the not over by the market, yeah.

basically uh was was a survey on more than eight hundred more than eight hundred and fifty um data leaders in big organizations um with representation of companies from from the US, from EMIA, from APAC.

and all main sectors including financial services, the public sector, healthcare, you name it.

Uh focus specifically on big organizations, organizations with more than one thousand employees at least.

And yeah, what we found is consistent across industries and also consistent with other industry surveys from the likes of McKinsey or Garner.

And it's that um most failure modes of AI agents today uh are related to data.

Most companies, most organizations, as you know, during the last two years they have been doing pilots around AI, right?

And now I I would say in the last few months they have been analyzing the results.

And I think most of them have reached this

Surprising surprising conclusion.

that is typically is not that the model is not smart enough, it is that it does not have access to the right data, or maybe the data is not up to date.

Or the agent is not understanding how the data should be used in a particular business context, right?

And that that that is what creates hallucinations.

That is what it creates when the agents overreach what they should do.

And this is basically what is creating this trust problem, right?

We drill down in the in the report.

There are some numbers that I would say, and we try to understand exactly what are the root uh causes of the problems.

We get some striking numbers.

For instance, uh almost 70% say that uh the lack of real-time data for the agents has been a problem.

Showing 81–100 of 352 · page 5 of 18