Category Archives: The thoughtful manager

Neural networks – explained

As mentioned here a few times, I teach an executive course called Analytics for strategic management, as well as a short program (three days) called Decisions from Data: Driving an Organization on Analytics. We have just finished the first version of both of these courses, and it has been a very enjoyable experience. The students (in both courses) have been interested and keen to learn, bringing relevant and interesting problems to the table, and we have managed do what it said on the tin (I think) – make them better consumers of analytics, capable of having a conversation with the analytics team, employing the right vocabulary and being able to ask more intelligent questions.

Of course, programs of this type does not allow you do dive deep into how things work, though we have been able to demonstrate MySQL, Python and DataRobot, and also give the students an understanding of how rapidly these things are evolving. We have talked about deep learning, for instance, but not how it works.

But that is easy to fix – almost everything about machine learning is available on Youtube and in other web channels, once you are into a little bit of the language. For instance, to understand how deep learning works, you can check out a series of videos from Grant Sanderson, who produces very good educational videos on the web site 3 blue one brown.

(There are follow-up videos: Chapter 2, Chapter 3, and Chapter 3 (formal calculus appendix). This Youtube channel has a lot of other math-related videos, too, including a great explanation of how Bitcoin works, which I’ll have to get into at some points, since I keep being asked why I don’t invest in Bitcoin all the time.)

Of course, you have to be rather interested to dive into this, and it certainly is not required read for an executive who only wants to be able to talk intelligently to the analytics team. But it is important (and a bit reassuring) to note the mechanisms employed: Breaking a very complex problem up into smaller problems, breaking those up into even smaller problems. solving the small problems by programming, then stepping back up. For those of you with high school math: It really isn’t that complicated. Just complicated in layers.

And it is good to know that all this advanced AI stuff really is rather basic math. Just applied in an increasingly complex way, really fast.

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The nastiness of immigrant fear

This piece (http://crookedtimber.org/2017/10/23/working-to-rule/) by Maria (Farrell?) is a long and very insightful read about the emotional impact on immigrants from the Brexit debacle – and more generally, about the nastiness of reducing immigrants (or, for that matter, any foreigner) to a number and a category.

Anyone who thinks being an immigrant, even a deluxe EU three million-type immigrant, is easy, should try it. We compete on equal terms with all comers, but with no social or economic safety net and, for many, hustling like mad in second and third languages. No dole, no network of couches to sleep on, no contacts and no introductions; qualifications from institutions you’ve never heard of, references from employers you aren’t sure are real but can’t be bothered to check, acting as daily fodder for stereotypical jokes we laugh off to show we’re one of you. You don’t hear us complaining about it because it’s just part of the deal. But when the terms of the deal change, and you tell us we’re social welfare parasites who are also, somehow, taking all the jobs and are the reason the country is failing, then the deal is probably dead.

How anyone can think shutting yourself off from the world and fantasise about going back to a nonexistent 1960s idyll is in any way beneficial is beyond me. And this nastiness is not limited to Britain or Trump’s USA, far from it, Norway has its share of little people with big fears as well.

To get new ideas, increase the variety of sources, expose yourself to new experiences, and embrace that which you cannot understand.

Assuming you want new ideas, of course.

A tour de Fry of technology evolution

There are many things to say about Stephen Fry, but enough is to show this video, filmed at Nokia Bell Labs, explaining, amongst other things, the origin of microchips, the power of exponential growth, the adventure and consequences of performance and functionality evolution. I am beginning to think that “the apogee, the acme, the summit of human intelligence” might actually be Stephen himself:

(Of course, the most impressive feat is his easy banter on hard questions after the talk itself. Quotes like: “[and] who is to program any kind of moral [into computers ]… If [the computer] dives into the data lake and learns to swim, which is essentially what machine learning is, it’s just diving in and learning to swim, it may pick up some very unpleasant sewage.”)

Science fiction and the future

I am on the editorial board of ACM Ubiquity – and we are in the middle of a discussion of whether science fiction authors get things right or not, and whether science fiction is a useful predictor of the future. I must admit I am not a huge fan of science fiction – definitely not films, which tend to contain way too many scenes of people in tights staring at screens. But I do have some affinity for the more intellectual variety which tries to say something about our time by taking a single element of it and magnifying it.

So herewith, a list of technology-based science fiction short stories available on the web, a bit of fantasy in a world where worrying about the future impact of technology is becoming a public sport:

  • The machine stops by E. M. Forster is a classic about what happens when we make ourselves completely dependent on a (largely invisible) technology. Something to think about when you sit surfing and video conferencing  in your home office. First published in 1909, which is more than impressive.
  • The second variety by Philip K. Dick is about what happens when we develop self-organizing weapons systems – a future where warrior drones take over. Written as an extension of the cold war, but in a time where you can deliver a hand grenade with a drone bought for almost nothing at Amazon and remote-controlled wars initially may seem bloodless it behooves us to think ahead.
  • Jipi and the paranoid chip is a brilliant short story by Neal Stephenson – the only science-fiction author I read regularly (though much of what he writes is more historic/technothrillers than science fiction per se). The Jipi story is about what happens when technologies develop a sense of self and self preservation.
  • Captive audience by Ann Warren Griffith is perhaps not as well written as the others, but still: It is a about a society where we are not allowed not to watch commercials. And that should be scary enough for anyone bone tired of alle the intrusive ads popping up everywhere we go.

There is another one I would have liked to have on the list, but I can’t remember the title or the author. It is about a man living in a world where durable products are not allowed – everything breaks down after a certain time so that the economy is maintained because everyone has to buy new things all the time. The man is trying to smuggle home a wooden stool made for his wife, but has trouble with a crumbling infrastructure and the wrapping paper dissolving unless he gets home soon enough…

Big Data and analytics – briefly

DFDDODData and data analytics is becoming more and more important for companies and organizations. Are you wondering what data and data science might do for your company? Welcome to a three-day ESP (Executive Short Program) called Decisions from Data: Driving an Organization with Analytics. It will take place at BI Norwegian Business School from December 5-7 this year. The short course is an offshoot from our very popular executive programs Analytics for Strategic Management, which are fully booked. (Check this list (Norwegian) for a sense of what those students are doing.)

Decisions from Data is aimed at managers who are curious about Big Data and data science and wants an introduction and an overview, without having to take a full course. We will talk about and show various forms of data analysis, discuss the most important obstacles to becoming a data driven organization and how to deal with data scientists, and, of course, give lots of examples of how to compete with analytics. The course will not be tech heavy, but we will look at and touch a few tools, just to get an idea of what we are asking those data scientists to do.

The whole thing will be in English, because, well, the (in my humble opinion) best people we have on this (Chandler Johnson og Alessandra Luzzi) are from the USA and Italy, respectively. As for myself, I tag along as best I can…

Welcome to the data revolution – it start’s here!

Singularity redux

From Danny Hillis: The Pattern on the Stone, which I am currently reading hunting for simple explanations of technological things:

Because computers can do some things that seem very much like human thinking, people often worry that they are threatening our unique position as rational beings, and there are some who seek reassurance in mathematical proofs of the limits of computers. There have been analogous controversies in human history. It was once considered important that the Earth be at the center of the universe, and our imagined position at the center was emblematic of our worth. The discovery that we occupied no central position – that  our planet was just one of a number of planets in orbit around the Sun – was deeply disturbing to many people at the time, and the philosophical implications of astronomy became a topic of heated debate. A similar controversy arose over evolutionary theory, which also appeared as a threat to humankind’s uniqueness. At the root of these earlier philosophical rises was a misplaced judgment of the source of human worth. I am convinced that most of the current philosophical discussions about the limits of computers are based on a similar misjudgment.

And that, I think, is one way to think about the future and intelligence, natural and artificial. Works for me, for now. No idea, of course, whether this still is Danny’s position, but I rather think it is.

Sapiens unite!

Sapiens: A Brief History of HumankindSapiens: A Brief History of Humankind by Yuval Noah Harari

My rating: 4 of 5 stars

This book (recommended by Grady Booch in his recent talk) attempts to give a brief history of mankind – specifically, Homo Sapiens, as opposed to Neanderthals and other hominids – in one book (a bit reminicent of Geoffrey Blainey’s A Short History of the World.) As such it is interesting, especially the early parts about the transition from hominids to collaborating humans and the cognitive revolution 70000 years ago. It is very clearly written – for instance, the chapter on capitalism and the importance of credit and creditworthiness is something I could hand out to my students directly as a brief explanation of what the fuzz is all about.) The book has been a success, and deservedly so – very rationalist, well informed, if a bit narrow in perspective here and there. The author seems to have a soft spot for hunter-gatherer societies (leading him to describe the agricultural revolution as a step backward for individuals, if not for the human race) and a digression on whether humans are more or less happy now (has historical progress done anything to our serotonine levels (answer: no, it hasn’t, which sort of renders the argument about agrarianism mot) veers towards ranting.

The best part is the way the author describes how much of history and out place in it now is based on inter-subjective fantasies – such as money, religion and states, which exist purely in our minds, because we agree between ourselves that they do.

And easy read, entertaining, and with quite a few very quotable passages here and there, for instance these on our bioengineered future:

Biologists the world over are locked in battle with the intelligent-design movement, which opposes the teaching of Darwinian evolution in schools and claims that biological complexity proves there must be a creator who thought out all biological details in advance. The biologists are right about the past, but the proponents of intelligent design might, ironically, be right about the future.

Most of the organisms now being engineered are those with the weakest political lobbies – plants, fungi, bacteria and insects.

Recommended.

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