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I wonder Watson might have helped them to take such steps. Basically putting HR/Finance data into Watson hands and figure out optimum way of doing things with a

I wonder Watson might have helped them to take such steps. Basically putting HR/Finance data into Watson hands and figure out optimum way of doing things with algorithms/forecasting etc.. Could be an interesting AI application.

fermuch 11y ago
It would be so funny if you're part of the group that trained him, and he ends up kicking you in the butt.
samstave 11y ago
God, that sounds dystopian as all hell. Just like in the movie Brazil - they ruin that guys life because a bug got in the type-machine which was putting out the papers for whom to go after, and it made the machine spell the wrong name. However, if you have not seen this documentary, I highly recommend you watch it, called "Human Resources": http://topdocumentaryfilms.com/human-resources/ http://topdocumentaryfilms.com/human-resources/ EDIT: What they SHOULD use watson for is to determine of those being laid off from the current position, how suitable they would be to internally apply for the one of 25,000 openings. They should limit Watson to tell them who should be RA'd to a new job - not who should be let go. Obviously those NOT scored to stay by watson are in the set of pink-slips implicitly.
- ar0 11y ago
  Although I would guess this happens in a more "low tech" way all the time: It's so easy to switch some lines in an Excel spreadsheet or mess up the formulas (hey, it happens even to Nobel prize winners) that I bet there are management decisions (including lay-offs) being made based on wrong / "buggy" data all the time... It just takes one overworked consultant and in many cases no one will question the numbers on the PowerPoint graph. While clearly lazy / incompetent people who deserve to be laid off exist, I think one should stay humble and realize that a lot of how one's life works out is pure luck (or a lack of it), after all.
amptorn 11y ago
Watson is a red herring.
- JBReefer 11y ago
  Yeah, having worked with Watson for Data or whatever they're calling it now, Watson is not as powerful as marketed. Watson is a way for IBM to appear to be on the edge of tech, because people do not understand the constraints of ML.
- Panoramix 11y ago
  Could you expand on this? I haven't heard much info on Watson besides IBM's publicity.
  - amptorn 11y ago
    I'm in the same position, but the presence of all publicity and no real product is part of what leads me to believe that Watson is much like Deep Blue or AlphaGo: it was designed to solve an extremely specific problem, and its capabilities do not generalise readily to any other problem. This despite the fact that Jeopardy is a "general knowledge" quiz. Imagine if Watson was an app. What would you do with it? As I understand it, it takes an oblique textual reference of some kind and turns it into a concrete, explicit reference. You talk about something and it figures out what you're talking about. That's great! It's a hard problem and it's extremely impressive that it's been solved. But in practical value terms, that's just a toy. And when would it be more useful than Google Search, or Wikipedia, or Siri? Can Watson do anything, book a trip, set a timer? Well, that capability would have to be plugged in, along with voice recognition and speech synthesis. But can it reliably determine what I want it to do? Or even whether I want it to do anything? Can it follow a conversation? Is it even stateful? What, if any, role does the core Watson functionality play in the systems which eventually do these things? And how does Watson generalise to other areas? IBM was looking at applying it to healthcare. How would this work? Presumably, here your "oblique textual reference" is a collection of data (symptoms and measurements) collected from a patient, and the end result is a diagnosis, like "What is rubella?". Now, firstly, how useful is that? Is that the hard part of being a doctor? What about carrying out the tests, what about prescribing treatment or choosing further tests? What about missing hints, e.g. can Watson handle visual data from simply looking at a patient? Or does the doctor have to inform Watson that the patient is leaning slightly to her right when she sits, and has trouble getting onto the bed? So does Watson's single trick actually help, does it even slightly alleviate the workload of a medical professional? And secondly, how readily does Watson adapt from the world of general knowledge quiz answers to the world of medical diagnoses? Are these worlds even remotely structurally similar? Can they be modelled and correlated using the same basic structures? Is there some heavy modification and serious domain knowledge needed to alter Watson to do this? Or are the two problems basically on different planets, such that an entirely different machine needs to be built? The same goes for applying Watson to business analytics, for example. In my mind, Watson is a machine which, as it currently exists, best case scenario, can look at all of your financial graphs and go "Ding! You're in a recession." And then nothing else. This may be of some use, but I doubt it. All of this is ignoring the backend, which is that Watson in reality is this monumental pile of expensive, high-performance hardware and IBM Research code - and we all know how much research code ever resembles a working, saleable product. All of that to handle one real-time quiz game. You're going to shrink that until it fits in one office? Or you're going to have a server farm full of them serving requests at great expense? I feel like people perceive Watson as a hair's breadth from strong AI, and IBM doesn't want to disabuse anybody of that notion. But I think the really valuable stuff in Watson - advances in computing techniques which I don't really know anything about but I'm certain must be there - is far less tangible, and is going to be very difficult to extricate from Watson itself, let alone monetize. Just off the top of my head. Unsourced hunches.
gvb 11y ago
In other words, the Singularity is here and its Watson.
- tostitos1979 11y ago
  C'mon dude/dudette .. you are on Hacker News. Read up on what Watson is .. don't just take marketing press for granted. You (and other commenters) are sort of saying Hadoop/Map reduce is going to gain sentience and enslave us all. If your comment was about DeepMind, at least there is some interesting stuff there like Deep Neural Networks :-p

fermuch 11y ago

It would be so funny if you're part of the group that trained him, and he ends up kicking you in the butt.

samstave 11y ago

God, that sounds dystopian as all hell. Just like in the movie Brazil - they ruin that guys life because a bug got in the type-machine which was putting out the papers for whom to go after, and it made the machine spell the wrong name. However, if you have not seen this documentary, I highly recommend you watch it, called "Human Resources": http://topdocumentaryfilms.com/human-resources/ http://topdocumentaryfilms.com/human-resources/ EDIT: What they SHOULD use watson for is to determine of those being laid off from the current position, how suitable they would be to internally apply for the one of 25,000 openings. They should limit Watson to tell them who should be RA'd to a new job - not who should be let go. Obviously those NOT scored to stay by watson are in the set of pink-slips implicitly.

ar0 11y ago
Although I would guess this happens in a more "low tech" way all the time: It's so easy to switch some lines in an Excel spreadsheet or mess up the formulas (hey, it happens even to Nobel prize winners) that I bet there are management decisions (including lay-offs) being made based on wrong / "buggy" data all the time... It just takes one overworked consultant and in many cases no one will question the numbers on the PowerPoint graph. While clearly lazy / incompetent people who deserve to be laid off exist, I think one should stay humble and realize that a lot of how one's life works out is pure luck (or a lack of it), after all.

amptorn 11y ago

Watson is a red herring.

JBReefer 11y ago
Yeah, having worked with Watson for Data or whatever they're calling it now, Watson is not as powerful as marketed. Watson is a way for IBM to appear to be on the edge of tech, because people do not understand the constraints of ML.
Panoramix 11y ago
Could you expand on this? I haven't heard much info on Watson besides IBM's publicity.
- amptorn 11y ago
  I'm in the same position, but the presence of all publicity and no real product is part of what leads me to believe that Watson is much like Deep Blue or AlphaGo: it was designed to solve an extremely specific problem, and its capabilities do not generalise readily to any other problem. This despite the fact that Jeopardy is a "general knowledge" quiz. Imagine if Watson was an app. What would you do with it? As I understand it, it takes an oblique textual reference of some kind and turns it into a concrete, explicit reference. You talk about something and it figures out what you're talking about. That's great! It's a hard problem and it's extremely impressive that it's been solved. But in practical value terms, that's just a toy. And when would it be more useful than Google Search, or Wikipedia, or Siri? Can Watson do anything, book a trip, set a timer? Well, that capability would have to be plugged in, along with voice recognition and speech synthesis. But can it reliably determine what I want it to do? Or even whether I want it to do anything? Can it follow a conversation? Is it even stateful? What, if any, role does the core Watson functionality play in the systems which eventually do these things? And how does Watson generalise to other areas? IBM was looking at applying it to healthcare. How would this work? Presumably, here your "oblique textual reference" is a collection of data (symptoms and measurements) collected from a patient, and the end result is a diagnosis, like "What is rubella?". Now, firstly, how useful is that? Is that the hard part of being a doctor? What about carrying out the tests, what about prescribing treatment or choosing further tests? What about missing hints, e.g. can Watson handle visual data from simply looking at a patient? Or does the doctor have to inform Watson that the patient is leaning slightly to her right when she sits, and has trouble getting onto the bed? So does Watson's single trick actually help, does it even slightly alleviate the workload of a medical professional? And secondly, how readily does Watson adapt from the world of general knowledge quiz answers to the world of medical diagnoses? Are these worlds even remotely structurally similar? Can they be modelled and correlated using the same basic structures? Is there some heavy modification and serious domain knowledge needed to alter Watson to do this? Or are the two problems basically on different planets, such that an entirely different machine needs to be built? The same goes for applying Watson to business analytics, for example. In my mind, Watson is a machine which, as it currently exists, best case scenario, can look at all of your financial graphs and go "Ding! You're in a recession." And then nothing else. This may be of some use, but I doubt it. All of this is ignoring the backend, which is that Watson in reality is this monumental pile of expensive, high-performance hardware and IBM Research code - and we all know how much research code ever resembles a working, saleable product. All of that to handle one real-time quiz game. You're going to shrink that until it fits in one office? Or you're going to have a server farm full of them serving requests at great expense? I feel like people perceive Watson as a hair's breadth from strong AI, and IBM doesn't want to disabuse anybody of that notion. But I think the really valuable stuff in Watson - advances in computing techniques which I don't really know anything about but I'm certain must be there - is far less tangible, and is going to be very difficult to extricate from Watson itself, let alone monetize. Just off the top of my head. Unsourced hunches.

gvb 11y ago

In other words, the Singularity is here and its Watson.

tostitos1979 11y ago
C'mon dude/dudette .. you are on Hacker News. Read up on what Watson is .. don't just take marketing press for granted. You (and other commenters) are sort of saying Hadoop/Map reduce is going to gain sentience and enslave us all. If your comment was about DeepMind, at least there is some interesting stuff there like Deep Neural Networks :-p