Mathematical Modeling Used To Track and Label
Anti-Globalism writes to tell us that in a new book titled The Numerati, author Stephen Baker introduces us to some of the math wizardry that is used to label or track our movements through purchases, phone calls, internet usage and other habits. "One of the most promising laboratories for the Numerati is the workplace, where every keystroke, click, and e-mail can be studied. In a chapter called "The Worker," Baker travels to IBM, where mathematicians are building predictive models of their own colleagues. An excerpt: 'Samer Takriti, a Syrian-born mathematician. He heads up a team that's piecing together mathematical models of 50,000 of IBM's tech consultants. The idea is to pile up inventories of all of their skills and then to calculate, mathematically, how best to deploy them. I'm here to find out how Takriti and his colleagues go about turning IBM's workers into numbers. If this works, his team plans to apply these models to other companies and to automate much of what we now call management.'"
Requiem for the American Dream
If managemenet was really about optimizing resources, it would have been outsourced a long time ago.
As a non-manager, I can tell you the most important job of management is to deal with the unquantifiable: engineers need to feel unique and usefull and they need opportunities to work on new things (and/or be promoted) from time to time. A good manager knows his guys are much more than their previous experiences (and somtimes slightly less too).
Yawn. Take a look at my life if you want, but let me save you the calculations. I had a busy, if somewhat mundane, day at work after which I came home, ate some pizza, caught an episode of Top Gear and Boston Legal, checked in on my facebook account, and - as the missus is away - there is probably some internet porn in my near future. Tomorrow, being a Tuesday, will most likely turn out to be a carbon copy of today, with the following exceptions, Top Gear becomes Criminal Minds followed by NCIS instead of Boston Legal. THE END.
That means I will be managed by a mindless droid. Not much difference from now and most likely even an improvement from the humanoid random generator that takes decisions now.
Don't fight for your country, if your country does not fight for you.
people will get even more happier going to work !
Actually, a lot of consultants are highly skilled people who do not have to work for any one person.
Automate their management, and you'll start making them feel like factory workers. Smart people are far less likely to accept inflexible working conditions. The result will be that they walk.
I know I would. My consultancy work is expensive, and I insist on doing what I want, when I want, for who I want. Ok, I'm picky, but I'm happy and I enjoy what I do, so the quality of my work remains high.
If someone started dictating things I had to do based on a mathematical model, I'd go elsewhere for a more relaxed environment.
A learning experience is one of those things that say, 'You know that thing you just did? Don't do that.' - D. Adams
"Turanga Leela made her first appearance in the series, in "Space Pilot 3000", as a Fate Assignment Officer; a worker who implanted career chips into cryogenically frozen individuals, notably Fry, who were newly thawed."
Give it a couple years and maybe we'll see a new headline, "IBM Seeks Fate Assignment Officers".
Murphey's fighting Occam, and we're in the stands.
Good thing: the manager doesn't have a stupid son or nephew to promote instead of you.
Bad thing: no more open position available for promotion. (and so the death of the compagnies caused by the unability to apply Dilbert's rule).
BORING! They could have Neural Networks, or or some upper bounded "Advanced Beginner" and acheive the same result ::
When you define perfection(tm), you can acheive it. Then you realise your perfection(tm) is not actual perfection, but some management person's project signoff of perfection.
Seems like the same old consultant $$$ trick. The dificult portion is picking to best heuristics, and is trivial to game.
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I'm always a bit uneasy when I see people writing about "modelling with maths". It strikes me that that is like discussing "talking with words".
If you're not "modelling with maths" then you're modelling with something else (astrology? guesswork? religon?) and what you're going to end up with is mmmmemmemmmememmmememem
(that's meant to be a text representation of someone trying to talk without words)
By Frederick Winslow Taylor, who pioneered the concept of scientific management.
While scientific management has its uses (e.g. optimizing an industrial process), it is definitely not everything about management. Scientific management has received plenty of criticisms in the past when it's overused, especially when the manager pushed it to the extreme and overspecialized the roles of employees - it devastates morale and harms everyone in the long term.
So while I respect the work these guys are doing, the "to automate much of what we call management" bit sounds like an exaggeration to me. After all, a lot of management is about people and communication, and even our best AIs don't have much idea about the latter today.
"I am not a number - I am a free man!"
The Prisoner of work's modern dilemma
to err is human, to forgive is divine, to forget is... umm...
You need to be careful about applying mathematics. Typically a mathematical model will have assumptions from which predictions can be made. The trouble is the instant you make your assumptions, the predictions become locked in. They are predetermined, even though you may not have discovered them yet. And of course if your assumptions are wrong, or inaccurate, your predictions are not going to match the real world very well. You can't massage the data or your results to get around this. Once your assumptions are made, mathematics leave no room for debate. Ever.
What this means of course is that it is often complete folly to apply mathematics to complex human interactions. Any assumptions you make will be totally inadequate to fully encompass any large organization and its members, and as a result, your predictions will probably be erroneous. Proceeding to apply your derived results to people will lead to unsatisfactory results and unexpected effects.
The Adam Curtis documentary The Trap, discusses the problems in reducing industries, outputs and people to numbers. Basically the numbers, which are more or less wrong, force people to conform to them, and you end up breaking existing systems completely or else converting them into an inefficient version of themselves, all the while thinking (and being told by the numbers) that your systems are improving.
The power of a mathematical model and its caveats, are in fact best described by Douglas Adams' fictional supercomputer Deep Thought. Deep Thought could indeed provide the answer to Life the Universe and Everything(42), and it was perfectly correct. But it wasn't any good because no one knew the correct Question to ask in the first place.
Mathematics will give you answers, and they will be right. But you had better be sure that you asked the right questions before you act on them.
May the Maths Be with you!
There's an old story back in the MS/IBM days of an MS wizkid rewriting some code to make it more efficient, faster and subsequently had less lines of code. Technically, according the KLOC model, he did negative work.
Quick, start doing something random, but work-related, regularly, at random intervals.
Model that you bastards.
AT&ROFLMAO
The problem is that the evaluation reports are precisely the most likely source to tell a good programmer from a just regular one, which is exactly what they don't take into account. A junior programmer may be excepional, but he will have less experience and a much lower salary than a "senior" programmer that could just market itself very well, and therefore be marked as a commodity
Categorizing programmers and treating them like commodities could be very dangerous if your model is flawed or considers the wrong parameters, especially if it provides a excuse for bad managers not to think or evaluate their employees individually (hey, if the model says it can't be wrong, right?)
If the facts don't fit the theory, change the facts. -- Albert Einstein
?
I've always wondered what the letters in IBM stood for. Now I know that they stand for "IBM". Thanks Businessweek!
#naabhaprzrag, #sverubfr-000, #agi-fcbafberq, negvpyr[pynff*=' negvpyr-ary-'] { qvfcynl: abar !vzcbegnag; }
McDonald's used to be, well, McDonald's. A warming bin full (or empty) of previously delicious, now overwarmed and stale sandwiches. It relied on managers to predict customer traffic and product mix via intuition, experience and, occasionally, paper and pencil. But the paper and pencil method was inaccurate at best, as managers only had access to hourly data. It worked OK, but as anyone who went to a McDonald's, well, ever, knew that it was not perfect. And Bob help you if you ordered a special order.
Add into that employee cross training and skills knowledge. A good manager knew their people and their skills, but had to rely on experience to know whether Suzie the shake girl also knew how to make fries. New managers, less good managers and up to the minute training that was done = fail.
Enter the In Store Processor. It tracks skill levels of employees, minute by minute historical trends, etc. It also computer-magically "listened" to all orders being taken versus what had already been produced to order more products to be made. It used that info to schedule people and production. And it was far better than any person could be. It also freed up management to actually manage the restaurant, rather than be stuck fighting production fires.
(They've since upgraded to a just-in-time system whereby all sandwiches are made to order- they realized that taking out the buffer didn't hinder throughput nearly as badly as common sense would predict, and increased quality and customer satisfaction. It did require more people, but they were able to be more efficient overall because you didn't have to rely on a well-paid rockstar to keep production going.)
McDonald's benefitted from the type of system being discussed here.
Will IBM? I would posit that they will, and that as people become less stuck on "MY PROJECT" and think a little more globally ("MY TEAM'S PROJECTS"), people will become more efficient and thus more happy. For every person who is "torn away" from their project, there will be others who aren't stuck working 80 hour weeks because some awful manager didn't predict the work load accurately.
And what about the very common issue of "OMG, project starts tomorrow and nobody knows Web 4.8 Java on Rollerskates v.93!!" A system like this allows sales to input the job and for the system to parse the skills pool and find out whether the required skills are available. And managers can get people trained or hired to meet requirements.
Systems like this free up people to do more work with less overhead.
In the words of Iron Maiden... "I'm not a number, I'm a free man!". Although I'm sure someone else said it first.
Other than this text, there is no discernible information contained in this sig.
I will not be pushed, filed, stamped, indexed, briefed, debriefed or numbered.
And that's the problem. Do do this analysis you need a lot of complete datasets. While you can pull that off with what a person does at work, we have this little privacy problem elsewhere. Although you can make the case that a person doesn't have a reasonable expectation of privacy in public spaces, start using that against people and that idea could change real quickly. And in your own home, car, or other space you have a complete expectation of privacy meaning that much data is going to be either very incomplete, or missing entirely. So you may end up with a great system that can produce marvelous results, and no proper data to feed it.
"It's the height of ridiculousness to say for those 9 lines you get hundreds of millions."
This software runs on Linux!
A lot of people are jumping really quickly against this because "I don't want to be just a number, I'm a person and you have to account for my feelings". The problem is there's more factors than just how an employee will feel when moving then to another project, and it's difficult to go through hundreds of potential teams and combinations manually while taking into considering how these teams will interact and how suited people are to the job at hand. By getting a program to spit out possibly combinations, it takes out a lot of the gruntwork, letting more probable combinations been generated and evaluated by whoever's working on the new team. If anything, I'd say people's feelings might be accounted for better than less. There will be visible alternatives to any undesirable combinations, and honestly, do you think that a manager shuffling paper is likely to come up with better teams on average than a manager with a program which spits out combinations of people with the right range of knowledge and experience? It's just a tool after all, like performance reviews and resumes. You might as well say you refuse to use those because they aren't accurate reflections of who you are. (That may be true, but consider the alternatives.)
If being a number in some program means the real me will be happier and get opportunities I'm suited for, then I'd say sure, why not?
And if this whole thing doesn't actually work... Well that's why they're doing this and seeing if it does. No point in shooting it down when it's still very much research.
Cybercommunism? I'm all for it. Of course that would obsolete IBM.
Seriously, if these mathematical tools are any good, people should use them to coordinate among themselves and get rid of the hierarchies. I wouldn't mind being managed by a robot if I get to (co-)program it.
Anyone compared "The Numerati" with "Super-Crunchers" by Ian Ayers?
Sounds good. The share holders can cut costs by out-sourcing management. They can cut costs further by replacing the sales guys with H1-B guys, - who can move big blue to Bangalore, replace the share holders, and stop polluting Poughkeepsie!
to do humans' job
and
vice versa
but anyway
only talents live
and talents live themselves.....
management?.....talents manage themselves....
non-talents never understand....
that's what this book is. Not a new field, not a new topic, but undoubtedly something that will get people's surprise and concern if they've never encountered it before.
(antifilter antifilter antifilter antifilter antifilter antifilter antifilter antifilter)