Ideas que transforman su operación.

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

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 ...

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

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

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

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

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

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

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

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 ...

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 ...

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 ...

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 ...

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 ...

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

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

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

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

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 ...

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

The architecture of a cloud solution is one of those conversations many executives prefer to leave entirely in the hands of the ...

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

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

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

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 ...