There is one question I hear often from executives who have already moved past the "should we use AI?" stage and reached the "how do ...

In nearly every organization beginning its automation journey, the same conversation surfaces at some point: do we need BPM or RPA? ...

At the midpoint of 2026, the conversation about enterprise artificial intelligence changed in tone. It is no longer about proving that ...

Ten years ago, the question at many Latin American companies was whether moving to the cloud made sense. Today that question no longer ...

When a company decides to move to the cloud, the conversation usually starts in the technology department. But the real impact — the ...

There is a version of this conversation that is no longer very useful: the one that lists cloud benefits as if they were product ...

There is an interesting paradox in the artificial intelligence landscape across Latin America. The region has interest, it has ...

I have seen enterprise AI projects fail for reasons that have nothing to do with technology. I have seen organizations with the right ...

Nearly every modern organization faces a paradox: never has so much information been available, and never has it been so hard to find ...

When Latin American executives evaluate enterprise AI platforms, "technological sovereignty" rarely appears near the top of the ...

When a CTO or solutions architect hears about "autonomous cognitive agents," the immediate question is not philosophical—it is ...

The oil and gas sector has a characteristic that sets it apart from virtually any other industry: the cost of an error is not measured ...

Over the past year we've watched entire teams obsess over choosing the "right" artificial intelligence model: this one reasons better, ...

An analytics programme working with data about customers, employees or patients is processing personal data, and that fact changes ...

Most analytics work stops one step short. The figure is correct, the dashboard is built, and the person who could act on it never sees ...

A semantic model is the place where "active customer" and "monthly revenue" are defined once, in a form the reporting tools read ...

For years, advanced analytics lived behind an invisible barrier: to ask your data a question, someone had to know how to write a ...

You try one of these new language models, it leaves you breathless with the fluency of its answers, and then you ask it about your ...

A metric does not have to be wrong to mislead. Most of the figures that produce bad decisions are calculated correctly and read badly ...

In recent months, many boards have discovered the same uncomfortable truth: no matter how sophisticated the AI model an organization ...

For a decade, we data teams have lived with an architecture split in two: on one side the data lake, cheap and flexible, where ...

For a decade, the promise was seductive: concentrate all of the organization's data in a single central repository, governed by a ...

When two teams bring different figures for the same metric, there is almost never a calculation error: there are two definitions ...

Data governance is the set of agreements about who defines each data item, who answers for its quality and who may use it. It is not a ...

Imagine a promotion sells out its inventory in four hours, but your team only finds out when it reviews the report the following ...

A data warehouse stores information already structured and modelled to answer known questions. A lake stores data in its original form ...

For years we were told that data was the new oil and that accumulating information was, in itself, a competitive advantage. Today, in ...

For years, those of us on data teams have lived with an uncomfortable contradiction: we invest in modern platforms, we hire analytical ...

A few days ago, walking a manufacturing plant alongside a client in northern Mexico, I stopped in front of a packaging line that ...

A dashboard is worth only what it changes. If nobody acts differently after looking at it, it is an expensive report with charts — and ...

I have spent months in conversation with business leaders across LATAM who already have dashboards, reports and metrics to spare, and ...

The first time a client asked me, "Do you know exactly what data of mine you keep, where and why?", I realized I didn't have a clean ...

A few months ago, in a meeting with the leadership team of a distribution company, I witnessed a scene that repeats itself across ...

A few weeks ago I toured a manufacturing plant where a supervisor proudly showed me a notebook in which he wrote down, by hand, the ...

Every time I visit a client in this first half of 2017, the same question comes up, almost always with a hint of skepticism: "Is ...

The first time I saw a Hadoop cluster processing a full day of a retailer's transactions, it became clear to me that the problem was ...