Jul 18, 2025 1:13:10 PM | 2 Reading time

Leading in the Digital Era Through Computational and Algorithmic Thinking

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Leading in the Digital Era Through Computational and Algorithmic Thinking

We are living a pivotal moment in the business world. Digital transformation is no longer a trend — it’s the new frame of reference. And although we often talk about tools, platforms, or systems, the truth is: technology is not the problem. We have access to everything we need — or we can develop it. The real challenge lies in how we think about business in this new context.

I recently listened to a talk by George Westerman (MIT Sloan), where he discussed how to integrate generative AI (GenAI) into organizational strategy. I completely agree with his vision: this is not about adopting tech just for the sake of it, but about rethinking the business model at its core, with a systemic, ethical, and sustainable approach.

In this sense, I want to emphasize two concepts I often mention: computational thinking and algorithmic thinking. These capabilities allow us to understand how data flows, how processes interconnect, and how we generate value in a digital environment.

This week, for instance, I took part in the strategic planning process of the Colombian Society of Architects, focused on digital transformation. It’s been a fascinating challenge: translating concepts like information, data, and networks into a field that traditionally didn’t have them at its core. For me, it’s like visualizing a Matrix of interconnected nodes, where each point and each relationship has meaning and direction.

Integrating GenAI is just one piece of the puzzle. The real change begins when we stop seeing technology as an isolated tool and start understanding it as part of a complex topology that runs through the entire organization, influencing every department and decision.

I truly believe that leadership in this era is about learning, connecting, and transforming, leveraging these interconnected technologies to drive innovation and efficiency across the enterprise.

Tags: AI

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