The Ai-Augmented Transformation

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You Are Here:The Ai-Augmented Transformation

Have you come across the term “Augmented Transformation”? This morning, as I sipped my coffee and soaked in the sunshine, my table was strewn with newspapers and articles. They ranged from “Spotify’s talent acquisition troubles in Sweden” to debates on whether “Apple should integrate ChatGPT.”

One article, in particular, stood out. It delved into the concept of “Augmented Transformation.”

This idea is catching fire, especially with the rise of various GPT models. Essentially, “Augmented Transformation” is about merging human and technological intelligence to tackle today’s challenges, with AI playing a pivotal role. Fascinating.

What’s intriguing is that this isn’t entirely new. Back when I was working with Watson at IBM, we had a similar concept called the “Cognitive Operating Model.” We were ahead of our time, and it was perhaps too avant-garde for many executives back then.

Back then, it felt like Season 1 of digital transformation, with projects varying in maturity and mostly confined to small-scale initiatives. Now, “Augmented Transformation” feels like Season 2—ushering in a new era of improvements across industries, processes, and products.

The potential impact on organisations is significant. This evolution is accelerating, and staying ahead is crucial. Organisations must adapt, remain agile, and invest in specialised training. And when I say training, it’s not just about technical skills. Equally important is training for business and management to truly harness this transformation and navigate its complexities.

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