IBM Has a Watson Dilemma
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IBM Has a Watson Dilemma
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Re: IBM Has a Watson Dilemma
#2Re: IBM Has a Watson Dilemma
#3Watson isn't what investors and the general public thinks it is. It's now more or less some classifier/machine learning as a service plus a dev integration team you can hire to pull it into your codebase (which by the way, is lots of $$$) It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality. It's IBM marketing at it's finest.
I do know that in the past, every time I try to corroborate a similar statement made in a similar tone I end up realizing the commenter was presenting a very narrow and biased, inaccurate, and occasionally slanderous view.
So I don’t invest that time and energy anymore. Life is finite.
Re: IBM Has a Watson Dilemma
#4Watson isn't what investors and the general public thinks it is. It's now more or less some classifier/machine learning as a service plus a dev integration team you can hire to pull it into your codebase (which by the way, is lots of $$$) It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality. It's IBM marketing at it's finest.
Yea.... I'm sure that's exactly how it is.
Re: IBM Has a Watson Dilemma
#5Watson isn't what investors and the general public thinks it is. It's now more or less some classifier/machine learning as a service plus a dev integration team you can hire to pull it into your codebase (which by the way, is lots of $$$) It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality. It's IBM marketing at it's finest.
Re: IBM Has a Watson Dilemma
#6Watson isn't what investors and the general public thinks it is. It's now more or less some classifier/machine learning as a service plus a dev integration team you can hire to pull it into your codebase (which by the way, is lots of $$$) It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality. It's IBM marketing at it's finest.
Re: IBM Has a Watson Dilemma
#7On the one hand, you have Google open sourcing AI tools, courses, adding TPU-enabled machines on their cloud and using their own AI tools to do some pretty neat stuff. On the other, you have IBM marketing deliberately deceiving ordinary consumers as to what its capable of. Its not that hard to take a side.
Disclaimer: I do not currently work for either company
Re: IBM Has a Watson Dilemma
#8Watson isn't what investors and the general public thinks it is. It's now more or less some classifier/machine learning as a service plus a dev integration team you can hire to pull it into your codebase (which by the way, is lots of $$$) It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality. It's IBM marketing at it's finest.
> It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality Yea.... I'm sure that's exactly how it is.
Re: IBM Has a Watson Dilemma
#9Watson isn't what investors and the general public thinks it is. It's now more or less some classifier/machine learning as a service plus a dev integration team you can hire to pull it into your codebase (which by the way, is lots of $$$) It is not difficult for anyone on HN to spend a weekend, read a machine learning book, and replicate most of Watson's functionality. It's IBM marketing at it's finest.
you are full of it. Are you sure you can replicate beating world class players on jeopardy in a weekend?
Re: IBM Has a Watson Dilemma
#10Like much of IBM, Watson was/is a good platform for doing certain tasks, but blown completely out of proportion by IBM marketing. Not to mention that they now explicitly use it as a branding tool ("Watson Cloud", "Watson Health" etc.) On the one hand, you have Google open sourcing AI tools, courses, adding TPU-enabled machines on their cloud and using their own AI tools to do some pretty neat stuff. On the other, you…
Google is not a competitor to IBM and so there is no "choice" to be made between the two. Sure Google has open sourced some great technologies (as have many others) but they are raw, low-level tools for Data Scientists to use. They aren't OOTB products ordinary people can use.