Behind the headlines, a bitter fight is underway for the control of machine learning

Enrique Dans
Enrique Dans
Published in
2 min readJun 15, 2023

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IMAGE: On a yellow background, an open laptop with a flow diagram
IMAGE: Mohamed Hassan — Pixabay

A hot topic at the moment is about whether the future of machine learning and algorithms will be controlled by Big Tech and a few other companies such as OpenAI (which will either join the giants or be gradually absorbed by a Microsoft now totally focused on this technology) or if the vast majority of companies, at least for critical functions, will instead develop their own algorithms.

From the point of view of someone who has spent more than a decade watching the machine learning landscape evolve from the vantage point of a company dedicated to creating beautifully simple tools for it, the answer seems clear: few companies will probably want to put the time and money into developing conversational algorithms like ChatGPT, whatever some people say about their application across a range of disciplines. First, because businesses and other organizations require control over what is being done with their data, something difficult to achieve no matter how much you open your algorithms to your customers or the regulator.

Second, because the only people who really know their data and their processes are the companies that generate it. There’s going to be a race within every industry to generate better quality data, to know how to treat it and keep it up to date, and to develop…

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Enrique Dans
Enrique Dans

Professor of Innovation at IE Business School and blogger (in English here and in Spanish at enriquedans.com)