Tag: Smart Society

  • The Winner takes it all in the Digital Capitalism – Good or Bad?

    The Winner takes it all in the Digital Capitalism – Good or Bad?

    Already in 2009 Digital Capitalism  (Networking the Global Market System – Dan Schiller – MIT Press, 1999) predicted the rise of a few US-based platform companies with scaring accuracy based upon an analysis of a number of structural aspects.

    The book is still very relevant and I thought it was a good start to reflect if Digital Capitalism is helping or not to create a Smarter Society.

     Here is a short version of the books prediction

      • A sys­tem cre­ated by mar­ket forces to serve mar­ket forces can only deepen ex­ist­ing so­cial in­equities and even them out
      • Tra­di­tional net­work (In­ter­net) poli­cies has been gen­er­ally pro­tec­tion­ist, na­tion­al­ist, and so­cially ori­ented
      • Net­work ad­vo­cates ap­plied po­lit­i­cal pres­sure to change pro­tec­tion­ist network poli­cies into neo-liberal poli­cies
      • Net­work re­form began in the United States and moved into de­vel­oped and de­vel­op­ing na­tions
      • Net­work dereg­u­la­tion has re­sulted in neg­a­tive so­cial and wel­fare consequences
      • The In­ter­net deep­ens and widens the reach of cap­i­tal­ism
      • The dig­i­tal cap­i­tal­ist net­work pri­mar­ily ben­e­fits transna­tional cap­i­tal
      • Com­mer­cial net­work de­vel­op­ment has had a neg­a­tive im­pact on the so­cial and wel­fare po­ten­tial of the In­ter­net
      • Com­mer­cial net­work de­vel­op­ment has had a neg­a­tive im­pact on higher ed­u­ca­tion

    How good was the books prediction?

    A good blog with the label:  FAMGA (Facebook, Apple, Microsoft, Google, Amazon) Is Eating The World and The Profound Implications of Five Increasingly Dominant Tech Companies, further deepens on the subject that we are in a “The winner takes it all situation”. So on this subject did Dan Schiller a good prediction.

    With the latest move in the US to potentially twist network neutrality this opens the door even further for the large corporation to make it more difficult for competing start-ups to emerge. So the risk for increased barriers for new digital companies to enter is quite likely. Some good thoughts about this could be read at The future of US net neutrality under Trump. Hence this is another area where Dan Schiller spotted where things where heading.

    All of the big us firms lately are racing to become the center of our home and life (Google Home, Amazons Echo, Apples Homepod, Microsoft’s Cortana, Facebook had M but has recently given up the race) with the ability to continuously monitor what we do and say, that does not feel particular attractive to me as an individual. If you want to read more about the risks Symantec has published a very good paper on the topic.

    The US-based firms are also key players in investing into AI. I have not found any solid source of data on how the spread of AI investments but several sources put the FAMGA in the top 10 of AI investments (US News, Investors.com, Investopedia, Techworld). Where except Baidu a couple of other US-based firms appears such as: IBM, NVIDIA and Netflix.

    So to sum it up there is a clear risk we are going to end up in the dystopian world of many futuristic movies where a few large (and typically evil) corporation rules the world with AI at their disposal. The Winner takes it all is over time not enriching for neither the society nor me as an individual as it only streamlines what we are offered.

    To balance above statement at least some evidence this companies, even if shareholder value are their long-term goal, that they from time to time voluntarily avoid the worst case scenarios. To mention a few concrete ones: Apple is usually trying to respect their users integrity (at least more than the others) and give them many settings on what to share and not, Facebook is lately trying to address filter bubbles and fake media, Google is offering their Google Docs to the use of many organisations and people at limited cost, Amazon is obsessed with Customer satisfaction and do trade of short-term profit. I just hope the sum of that takes us into the green quadrant of the chart below.

    Reflection

    The only thing I think Dan Schiller missed was the rise, partly behind the great Chines firewall, of the Asian digital companies. Cognizant published in 2015 an excellent paper called Asian Rising: Digital Driving with clear facts that Asia is fast becoming the center of digital innovation for the world.

    “The region accounts for half of the world’s total 2.8 billion Internet users, and it is already the largest regional e-commerce market.”

    On the other hand, if you apply his structural approach, you will quickly come to realise that a very similar patterns to the one he discovered for the US-based firms, also is true for the Asian based companies, even if they have their own version of Digital (state controlled) capitalism.

    With a European perspective I see few real challenger in Europe to US-based companies dominance. To be honnest I am not sure it is better for neither me as an individual nor our society to become dominated by Asian based and often governmentally influenced companies as an alternative.

    The question is if there will emerge any counter balancing power, perhaps with some help from EU or local governments, to level the play field? At the same time we need to balance on the thin line between sub optimized protectionism and globalism with fair play. The business Europe, a European business federation are trying to drive the idea of the EU digital single market where EU has started to work on policy making.

    I think the most important thing would be legislation and platforms to give us as people back the ownership of our data and that we over time would start to create platforms where we can control and sell that data.

    So what to do tomorrow to prepare for the future?

    From a business end I would always plan to play ball with the big US-based corporations but try to also seek opportunities with the Asian challengers when you define your digital strategy. You need to at least consider how they could impact your market? As long as the big US companies or Asian challengers has not entered your market unfortunately the Winner takes it all rules in your niche as well. Either you are working at the Winning company or time to look for a job somewhere else.

    From an Individual perspective I am always cautious how much data I share with the US-based companies (or any company actually). And I am waiting until I can run my AI assistant before I’ll start to use them to any larger extent, especially at home. I appreciate all companies that build solution with my integrity in the center and use that as a key selection criteria for what to buy.

    Great if you want to drop a line of what you think or reflect after reading this article, that is quite motivating.

     

  • Daddy when will we reach singularity?

    Daddy when will we reach singularity?

    That question is probably not the most common question from a 7-year-old girl. She asked it as she was concerned the AI’s will take over before her next birthday. My 17-year-old kid has also educated her in never publishing a picture where AI face recognition could tag her. Hence as you can see she heavily distort any pictures she publish. So in terms of AI maturity and insights she is more AI mature than many adults.

    Is she right to already now ponder on this topic?

    Before answering that let’s get some basics outlined first on what we mean with Technical Singularity and the physical and virtual world convergence.

    Technical Singularity

    The singularity, ergo that machine can build machines by themselves would not be so concerning if they would run in isolation without connection to the physical world.

    This 3 min Tedx talk from Jason Silva is a good introduction to the subject with a non alarmist tone

    If you are interested in more depth about Technical Singularity I strongly recommend to read Life 3.0: Being Human in the Age of Artificial Intelligence a book by the Swedish-American cosmologist Max Tegmark from MIT. He is also the co-founder of the Future of Life Institute (great site to visit), and has with donations from Elon Musk investigates the existential risk from advanced artificial intelligence. If you find his 796 pages overwhelming there is a 34 min pod as an alternative.

    If you prefer something even easier to digest, the scenario depicted in the books Prelude is similar to the movie Transcendence.

    http://www.imdb.com/title/tt2209764/

    Physical and virtual world converging or Dual Reality

    Interestingly enough the technical Megatrend that the physical and virtual is converging is not at al as well explored and written about as the Technical Singularity. Probably because there is not one big key event that is expected to happen but rather this Megatrend is the sum of many sub-trends and enablement such as:

    • AI and machine intelligence as covered above
    • Mixed reality capabilities in the broadest sense where machines are able to stimulate our sense´s generally in a one directional way even with some feed-back loops
    • Biosyncing / biomedical engineering where human and machine are connected with reciprocal feed-back lops (such as a pace maker)
    • Neural engineering where we can connect our brain directly with the virtual world for a bi-directional exchange of data
    • IoT and connected devices where over time most our machines, buildings, cars are connected
    • IoT smart sensor and actuators where you can collect almost any data from the physical world as well as interacting with it
    • Edge/Mist/Fog/Grid computing to make sure that there is always enough computing power with minimal latency or bandwidth limitations

    The best and simplest overview on the subject I have found is a Australian Consultancy firm called Emergent // Future that has written the paper together with Denis Hurley that is Director Future Technologies at Pearson.

    There is a  MIT publication from 2009 (not a light reading) that labels the merger “Dual Reality”. I have also picked up others label this “Mixed Reality”. On one hand I like Dual/Mixed Reality because it is a short and snappy label for the trend. On the other hand it still suggest this two worlds are clearly separable, true for the foreseeable future but with the latest Biomedical / Neural Enginering the questions is for how long . nevertheless I really like their proposed definition:

    ” The convergence of sensor networks and virtual worlds not only as a possible solution to their respective limitations, but also as the beginning of a new creative medium. In such a “dual reality,” both real and virtual worlds are complete unto themselves, but also enhanced by the ability to mutually reflect, influence, and merge by means of sensor/actuator networks deeply embedded in everyday environments.”

    – Joshua Lifton and Joseph A. Paradiso, MIT Media Lab

    Reflection

    No one can tell exactly when this two mutually supporting events will happen where a god guess is that my grand children will see them both during their lifetime

    It is when the AI could access all of the current physical realms that things get delicate. Imagine your brain is connected (yes in 2017 a human brain was connected as a IoT device). Lets then assume that a AI can tamper with your brain perception of reality. The singularity in that scenario becomes far more concerning (think Matrix) than for example today where a AI would have a limited access (still big enough to cause lots of concerns) to the physical word.

    So what could we learn from a 7 year old child in terms of  bothering already today about the upcoming singularity and convergence between the artificial and real world?

    From a business perspective if your business is not actively exploring the opportunities of the smart society (broader concept than Digitalization) you are likely working in one of the +40% of companies that will not make the leap to the smart society. As employee in such a company it is time to look for a better place to work. I have already in my investments started to assess what companies I believe will make the leap or not.

    From a private perspective I would already today think about all my connected devices and check how secure they actually are and what personal data do they collect. Nowadays I always perform a security check on any connected device and past 2 years suggest my kids toys are the worse among in general poorly designed IoT devices. Even my home alarm system (one of the most frequent in Sweden) wanted to open up a permanent port in my firewall, not a good idea. I received a IoT based water meter where I realized that data would be perfect for a burglar to tap on to figure out if anyone is home, fortunately it had really good security. That water meter is also a very good example of the benefits with connected devices as my water company at no additional cost today offers leakage warnings based on AI monitoring my consumption, that feels good as I have had leakages in the past.

    My last advice is that your wearable are among the worst in terms of collecting private data. I assume no one missed the connected sex toys (several cases) that where collecting way more data than anyone would imagine, not fun when the hackers get hold of that type of information. At the same time my connected fitness watch has prompted me twice while writing this text I needed to take a break and that is great for my health.

    May the force be with you

    /FvG

    PS: If you have read this far I would really appreciate if you drop a line on your spontaneous thoughts and reflections, I would find that motivating and enriching. 

     

  • The Spotify AI found me the soundtrack of the Digital to Physical convergence

    The Spotify AI found me the soundtrack of the Digital to Physical convergence

    I would actually had missed this whole observation and hence post if a collegue of mine would not had made a good post that we often look too far in the future instead of focusing on the here and now. He suggested we should start create the Smart Society for example by just making our office Smarter as a start. This whole thought of his sparkled my mind while out walking and realizing the album Spotify had just proposed was the perfect soundtrack for when the Digital and Physical converges.

    The album is with my musical taste the perfect blend of acoustic and electronic instruments and hence is the musical representation and soundtrack for the convergence

    The whole thing also made me realize that the Spotify despite my mix of many allas narrow musical preferences very driven by my listening mood nowadays with four very different Daily Mix most of the time makes a good jobb. That also includes in most of the mixes to avoid overly lyrically driven songs even if I do not only listen to instrumental material as well as my inclination to discover new music. Still a couple of times per month it will throw me something I really do not like but it is definitely worth the hassle for all the good new music it helps me discover.

    Spotify Algoritms and I go way back

    Up until two years ago the Spotify algoritms and myself where not the best of palls. My music taste as described above made any deep learning algoritm fail and would mix song that for me fits to different moods. I know my friends over at Spotify has made a lot of effort the adress that and for me it know works most of the time.

    On the other hand the progress is not only to the merit of the Spotify team. I have since the start of their radio stations I think back in 2012 spent many hours or swiping away songs I did not enjoy and I would expect there is a waste library of what I have liked and not to data mine.

    AI learning from this story?

    Well actually more than it could appear so let me summarize it in 3 observations

    1. Developing good AI requires time and effort in a persistent continuous improvement mindset. Just consider the time, resources and computing power for the Alfa Go team to make a AI play a boardgame.
    2. For the final tuning you need human interaction to help the AI when it has not done a good jobb. Just like in my Spotify story where even if the AI has analyzed thousand of my listening hours from many years of consumption of the service it still needs intervention from my side to guide it.
    3. AI will in the short future be consumed by us a individual and companies through existing platform providers. They are the one to have the user scenarios where to apply AI, they have the user base to justify the investment and they have the large amount of data needed to feed the AI with

    Sadly I think many companies are now engaging into the AI domain not being clear on the above observations and hence are quite likely to fail. But hey, we could assume that is just part of the AI hype cycle

    Curious on the soundtrack that this is all about? It was Portico Quartet and the album Age of Automation

  • How big impact will AI have on our economy?

    Or is AI a new type of production factor in the economy?

    According to Accenture research we should start to see AI as a new production factor and they have 3 main arguments:

    • AI is neither labor or capital but rather a hybrid between both and as automation is self improving it should not be written off as ordinary automation equipment

    • AI complement and increases the skills and ability of existing workforce and capital rather than being in competition with them

    • AI drives innovation mainly by creating new business models based on new use of existing data

    By applying the new model on a dozen developed countries and comparing a non AI baseline with a AI a few countries come out as AI mature/ready/forefront (US, Finland, Sweden, UK, Netherlands) where AI stands for significant part of the growth already today and could achieve double digit growth of maximizing AI opportunity

    I share the authors view that today’s way of measuring growth has flaws and that we need to find better ways to capture several disruptive technologies do that in the future.

    I think there are some benefits with the proposed model thinking about AI as something that will significantly change society over time.

    Until we achieve the singularity of AI being able to build new AI I think AI will need to operate together with other technological devices (self driving cars for example) and humans. This means the old combination of human and capital works as a decent approximation even if not perfect.

    I would also challenge that AI would not have to be written off over time. An AI that is not maintained, enhanced, given more computing power will decay over time as it would be replaced by better AIs. The AI also drives operational cost even if run in the cloud so there would always be a trade off between that and solving the task by other means.

    With current technology maturity I think AI short term is more about replacing white collars as automation did with blue collar in the past. Many task will be automated or significantly transformed while new (train the AI for example) will be created for the white collars.

    More interesting is where AI more mid term can enable a smarter society and new business models we will start to change society for real. My belief is that AI likely is a key enabler in that change but will not be sufficient in itself. It is only when you combine the AI with sensor data, robots, better integration with humans, 3D printing and a long list of other technologies and trends that will give us the big changes.

    How to measure that change is still out for grabs and the proposed model by Accenture research is probably not the answer even if a good attempt.

    https://www.accenture.com/us-en/insight-artificial-intelligence-future-growth

  • Our economy 2028 – a prediction by Swedish Radio

    New approach by Swedish radio Ekonomiekot show to predict trends for our economy in 2028

    They glance through AI, wearable, circular economy and trade and try to make a good overall prediction

    In short they concluded  a lot is likely to happen in 10 years and both companies and employment market will have to change

     

    http://sverigesradio.se/sida/avsnitt/1008876?programid=3626