Why we shouldn’t let ChatGPT dictate the machine learning conversation
The recent media coverage of a reasonably intelligent bot able to hold a conversation on just about any subject suggests that this is a major breakthrough, but like many others who’ve been involved in the development and adoption of machine learning tools for many years, I’d like to point out that there are dozens of companies out there working on easy-to-use software based on advanced automation that offer huge potential competitive advantages.
From a business perspective, what does the use of machine learning entail? Contrary to what many people might think, it doesn’t mean filling your company with expensive data scientists focused on creating complex programming solutions that no self-respecting corporate management system could apply without turning the whole organization upside down. Instead, it’s about starting from relatively simple data structures that managers are already familiar with when they make sense, and using simple low-code or no-code tools to create menu-driven algorithms that make it possible to propose models, educate them, test their predictive capacity, refine them and implement them in a reasonably straightforward way.
I’ve been able to follow the evolution of machine learning thanks to my role over the last decade or so as a strategic advisor for BigML, allowing me to…
