Is Machine Learning Really AI?
Ron Schmelzer
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Ron Schmelzer
LinkedIn Top AI Voice | #AI Best Practices | #CPMAI Certified | Champion of innovation in the private and public sector
For sure, machine learning is the cornerstone of what's powering the most recent wave of artificial intelligence evolution. However, is what we're doing today with machine learning really AI or are we just doing big data magic tricks?
One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon labeling their technologies, products, service offerings, and projects as AI products, projects, or offerings without necessarily being the case. On the other hand, there isn’t a well-accepted delineation between what is definitely AI and what is definitely not AI. This is because there isn’t a well-accepted and standard definition of what is artificial intelligence. Indeed, there isn’t a standard definition of intelligence, period.
Problem solved.
4 年Nicely provocative title, Ron. ML is obviously state-of-the-art AI, but nowhere near Perez-Breva's goal or AGI. There seems to be something of a theoretical chasm between the tools we have now and a future where we solve problems collaboratively with Jarvis-like AGIs. I don't think we'll get there through a "pointillist" approach, where AGI simply appears once we create enough ML dots on the canvas. The challenge for the industry is to create enough value as we cross the chasm while, inevitably, other "hot technologies" appear and grab market attention and investment.