"Machine learning" was a pretty good buzz word, but "Artificial Intelligence" is even better. And in a way, ML is part of AI so it isn't really lying.
IBM tries to sell into c-suites of companies that are less technically-adept than the average HN reader. Their marketing seems to be pretty effective, at least in getting proof of concept projects signed with big names.
Watson is simply IBM's ML product, but they call it AI and wrap it in marketing for all the reasons every AI startup does the same thing.
I disagree that companies implementing "AI" are less technically-adept than the average HN reader. This sort of comment has happened on other similar discussions.
It is untrue. They are very technically adept, with teams of people who are also aware of their problem spaces, and technology.
I understand there are some cases of lack of technical teams making these sort of decisions, but it isn't the norm, and even smaller companies often have incredibly technical teams.
I don't understand where this idea comes from. I've done consulting, and implementation of these type of projects for most of my life. My experience says it's false. What is the feeling that this is true?
Is it from people who aren't a part of the process theorizing that some unknown force must not be as intelligent as they are? Is it from looking at the decision making in general (why did they buy an ERP?), and making correlations?
I'm honestly unsure how there's this widespread idea that there aren't brilliant people everywhere doing the same work they are. Yes there are problems, and challenges all over the place, but I find I am amazed all across the country, and world at the level of expertise in companies.
> I disagree that companies implementing "AI" are less technically-adept than the average HN reader.
He didn't say that. He said that the c-suite of those companies was less adept than our fellow readers. This is almost certainly true. I'm not sure that it matters.
IBM tries to sell into c-suites of companies that are less technically-adept than the average HN reader. Their marketing seems to be pretty effective, at least in getting proof of concept projects signed with big names.
Watson is simply IBM's ML product, but they call it AI and wrap it in marketing for all the reasons every AI startup does the same thing.