In my work with artificial intelligence, thinking about the borderline between a perfect algorithm to perform a perfect action and the superiority over the human brain, I reached an area that made me think about the concept of perfection.

Hyper smart applets

In 1996 we were trying to design hyper-smart applets (applets was concept in Jave programming language). The idea was that applets travel through the internet autonomously, find receptors in routers or computers and have dialog systems in connected machines. It was a similar idea like smart contracts in a blockchain, but far more advanced in its autonomy. We were philosophizing: how far could we bring this? Would these applets become one day self aware? Would they be able to execute tasks not only based on our direction but also be influenced by incidents that occur while traveling in the net? For instance could they find their best path virtually on their own? Today’s AI discussion are a real dejavue for me. One thing we discovered at that stage: We have to allow the autonomous applets to make mistakes. We cannot predict every move and every situation. We have to add some sort of error correction mechanism and being aware that mistakes will come from probability of success calculations. This was the first time I realized that failure is not something we humans have because we are dumb – we have the behavior to make mistakes by purpose.

AlphaGO Example

20 years fast forward. The AlphaGo project 2016 showed very well that the AI system that learned to play GO, was incapable predicting every possible move in order to make a perfect moves. The variety of moves are so vast, that all computing power on earth could not perform this task in the next 10,000 years. So what AlphaGo did is taking a shortcut and calculates probabilities to win in percent from several possible and more logical moves. Obviously the way it does it was superior to how we humans can do it – but it is far away from being perfect (perfect as we humans use that term).

Permutation

I was reminded that permutation is a strategic concept of nature. We humans see permutation as a “mistake”, because we don’t know much about mistakes. We “instinctively” try to avoid mistakes at almost all cost. On the other hand we are triggered by rewards and any success is rewarded by our brain with “rewards points” also understood as joy.

Perfection

Humans are definitely imperfect. Our imperfection is mainly noticed by the mistakes we make and the joy we have when we succeed. However, the more we think about the reasons why we ‘must make mistakes’ eventually we come to a point where we understand that imperfection is the perfect scheme of development. The fear, that with the rise of AI ‘we are all gonna die’ because we are soooo imperfect, is definitely simply another mistake.

Imperfection Oxymoron

A “perfect system” that still develops makes the ‘perfect’ system being previously ‘imperfect’ or the development is a decay. Development or evolution including permutation can only be considered evolving if it is not perfect. The state of ‘perfection’ is the end of evolution or development.
Imperfection is the only thing that is perfect!

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I see this question popping up over and over again. At present it may look like Autonomous Machines will carry on the technological development and we sit and watch. Well – here is my thinking:

In 1980 the end of technology was predicted
I remember a day where my boss said “I think with the invention of the 8 bit microprocessor we are at the end of technology development – we will never see a 16 bit microprocessor in commercial use.” I was laughing but he was dead serious. Little did he know that we were not at the end but barely at the beginning of the micro computer revolution.

In 2020 the end of humanity will be seriously predicted
We are very much in the infant stage of AI. If we developed a fully autonomous and self aware AI system we are really at the beginning of a new technology era. Those machines will help us reach frontiers that even SciFi authors don’t see today but will fuel a whole new era of SciFi stories soon.

By 2030 We will see early tangible results
Imagine that we will be able to calculate the least possible effort to develop purified water for all humans on earth – and just do it. Be able to produce food for every single person even at 15 Billion population. We will quickly move away from plastic robots to fully biological material based robots.

By 2050 replacing general ‘work’ with AI Tax based income
By now we may need to / are in the luxurious position to replace 50 – 100 million jobs. By taxing Autonomous Machines we can fuel a pool of UBI (Unconditional Base Income) so those people will be covered and the ones how operate such machines can still do it profitably. Going forward most people in developed countries won’t have to find a job but can do what they are most excited about and evolve to “autonomous humans” in its own right.

By 2075 Smart material development may be in full swing
The very next big thing that already started is smart material and biological material. A Doctor in Germany developed the first artificial aortic ventricle of a heart made fully from biological material. This will keep going for at least 100 years. Smart material is changing its shape and even molecular structure based on electromagnetic impulses. Countless new applications.  The synthesis of smart material constructed and manipulated using – again – AI brings us to all new technological realms.

By 2100 We may reach a state of nearly abundant energy
We know that our sun is boosting unimaginable amount of energy every millisecond. Even our mother planet earth does that in its core. Today we still neither harvest that energy properly – let alone being able to emulate the phenomenon and create Terra Watts generated in a little box behind our homes.

By 2150 Body augmentation may get us to an age of 500 to 1,000 years
Then think about human body augmentation, Artificial yet biological “replacement parts” for virtually everything. Maybe not the brain by then but maybe even that.

By 2200 Terra-Forming
Again all new technologies, powerful energy generators, knowledge about space travel and planet construction. At that stage we actually need technology like AI to do a few billion iterations of possible ways to do what we want to do – a human being would never be able to do that. An AI system on the other side would never “create” the idea and suggesting:  “Hey human what do you think about the idea of making Mars an inhabitable planet”.

Between 2200 and 2500 longer distance space travel
We are not giving up on that one. And we cannot. Earth will be hit by a major asteroid in the next some 100,000 years and our human brain has further developed that we actually care. We will need to find ways to leave our paradise – one day.

Between 2,500 and 3,000 crossing parts of our galaxy
No, forget space ships and forget low speed travel of 100,000 miles per hour. It will be something entirely different – we still need to develop the very foundation of the necessary physics. By that time maybe we are able to develop our own chemical elements and the new Periodic Table is more like a book.

By 5,000 we may…
wonder what next and build a fully biological being, which only needs electric power to survive. We put it into a space ship and send it to Alpha Centaur, where it should start a life on its own – never letting it know where it came from, so we don’t get unexpected visits :) We just watch it develop from a safe distance. We may visit a bit closer – just hoping they don’t discover us and think we are a UFO with extra alpha centaurical live :)

So – NO, AI is not the last innovation it is actually the first of an all new technological, economical and societal era. We won’t hit a point with no more advancement any time soon. And IF, we will advance in a very different way and laugh about our neanderthal like toys including space ships, AI, terra forming and the other primitive gimmick.

Happy innovation

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We came a long way in the last 1 and 1/2 years since this amazing video from Maurice Conti was recorded. Artificial Intelligence made huge progress. The hardware however is actually much behind the hopes. Autonomous machines like robots lack the skills to move like humans or animals. Other autonomous machines like cars or ships still lack the all encompassing sensor technology to be truly safe. Autonomous earth bound autonomous machines like chat bots and game computing however show great evolution in their hardware technology.

The software advances are more significant: AlphaGoZero was beating AlphaGo 100 to 0 – meaning the amazing AlphaGo program, which was beating the number one Go player in the world 4:1 was now beaten 100:0 by its next generation AM. The critical part of that story is that it was able to learn everything on its own. Chinese President Xi Jinpen announced his goal to be AI leader by 2030. German Economy & Science departments expressed their desire to make AI made in Germany a globally known quality brand for AI by 2030. Approximately 1.000 times as many regular people on the street became aware of a possible social shift in mankind. grander than anything we experienced or even imagined before. Fear however is spreading at almost alarming rate now – not a place we should be in. But it’s only indirectly the fear from machines. Deep inside our subconsciousness it is the fear of our own miss doing. Not our imperfection but doing things that are simply not right – and doing so in full awareness. Outside the technology and opportunity realm, we began to learn more from the AI development about ourselves than ever before.

How important is technology for AI?

In my work on that subject, I recently had an interesting thought. Mainly when I heard that the two vocal contender China and Germany longing for attention, I asked myself what they have to bring to the party. Today’s AI leader is clearly from California. But is technology really at the core of AI? Yes, we need powerful processors and lots of memory. But AI is no longer really about technology per see. At the core of any AI system are the algorithms, complex mathematical constructs that can describe a behavior, a process, and create results for possible more algorithms. Both Germans and Chinese are pretty good at that. Further more AI is equally dependent (today) on neural network skills. A structure where lots of data get feed in, and spill out results or even directives to other algorithms. Decision making procedures are other skills AI need to employ to create meaningful results. All these skills can be found widely in Germany and Switzerland.

Sooner or later all engineers will notice that no matter how much computing power they have it will never be enough. The game of GO is a great example. The number of possible moves from start to finish is said to exceed the number of atoms in the observable universe. Any AM (Autonomous Machine) will need to calculate its best result or step to a result based on the most probable right step, accepting it may not be the best. AMs need to be FAILURE TOLERANT. With that, an AI system actually gets closer to us humans. I’ve met AI researcher in Taiwan working especially on that part of the process.

But here comes – by far – the most challenging part of AI development that is actually useful for people: What questions do we have to have an AM answer it profoundly and efficient. To make AMs do repeatable jobs like in a production company, or repeatably answer questions, even millions of different questions, from customers in a pre-sales department, or answer questions from patience regarding their possible illness. that is not so complicated. But to answer the question: “How can we help politicians, make the right decisions that are in the interest of the population – and – taking long term effects into consideration?”. Most of us do not (yet) have a firm answer. Most of us, including me can’t even articulate that question comprehensive enough for any system or human to trigger the right solution finding process. Now that is an area where Central Europeans, including Germans are actually pretty good at – maybe better than others.

Artificial Intelligence is more about asking intelligent questions to get intelligent results that putting together fine technology.

While I can continue with a few more aspects of meaningful requirements for a great AM solution, it became very apparent to me that technology keeps taking less and less a center stage position and other, social, psychological, behavioral aspects move rapidly forward. It also daunted on my that there will probably not be a single country doing it all or being the leader – it is a global development where the most open minded and smartest people can jointly produce unprecedented results. Brut force leadership by order of a human leader is most certainly failing – even with 10 billion people. But some of them will contribute amazing solutions to the whole.

Leadership Framework

The World Innovations Forum put a leadership framework together to help all countries to get started and advance. Getting everybody involved makes a lot of sense when it comes to, what is said by some, the last innovation humans will do. Most importantly collaboratively developing and agreeing on a common set of rules will make this development much safer. But maybe we need an AI system to guide us through a process that may otherwise be too much driven by ego and self interest.

What’s next

The development of chat bots is evolving rapidly. From clunky little experiments a few years ago, we see great progress and probably have a highly sufficient “chat bot” by 2022 that is so strong and so versatile that it may replace more than 100 million call center employees with the only replacement of maybe a million people training and advancing those bots. By that time governments will have no other choice to tax the productivity of any AM no matter where those machines are hosted and no matter who owns them. The tax income then can be used to start the concept of a base income for those who won’t find work any soon. A whole taxation model will be available in the new book “World with no work“. By 2025 until 2028 we may be in a position that super advanced chat bots can replace many knowledge base systems including Medical Doctors, Lawyers, Bankers, Insurance Brokers, Inside sales people, cashiers and so forth. This may cause an even bigger avalanche of unemployment that my easily hit over half a billion people world wide. Only several million will be needed to review the medical suggestion, the investment advice etc. But will no longer need a time consuming deep dive. By 2030 robotics may have advance to be much more agile. My ultimate test for a robot would be: Successfully perform in three disciplines: 1) Successfully play soccer in one of the top leagues. 2) Climb Eiger North Face or any similar mountain and return safely to base camp. 3) Dance tango with one of the world class dancers (it takes two to tango). “It takes two to tango” has an inhered interesting aspect: unlike most dances, Tango is lead by both dancers with an unspoken intuition. That will kick start another avalanche of AMs performing tasks that have been conducted by well educated humans. With a constantly improved UBI (Unconditional Base Income) by now it becomes actually a desire to replace as many human jobs as possible and give humans the freedom to pick and chose activities they really love and be so good and social in it that there is no advantage to have robots. There is no advantage to mass produce robots that produce art better than humans can do. Art has no better or worst – Art is a human expression not a robotic mass produced expression, even if every piece would be individual.

Autonomous Humans

By 2040 or 2050, humans will rationalize that during the time of the industrialization, they lost their autonomy. No job – no happy live. If you can’t get into a company where somebody is telling you what to do, you won’t get the reward in cash that you need to survive. Or if you do not perform what is expected from you, you get fired. Not today – but in 100 years we will compare that life with modern slavery. How could it be that you – a free person – has only a few hours a day actually free. At least, unlike in the 1800’s you no longer get beaten up or cut off your hand, but still you call it yourself treadmill, you are very happy if it is 5 pm, you look forward to vacation, you have no or not enough time to do what you really would love to do, you may not even have your dream job, you can’t follow your intuition but the job rules and so forth.

However exactly that ‘YOU’, is the one who helped build a world that eventually transform to a much more liberal life, less dangerous tasks and way more pleasant. So nobody following the rules today is/was stupid. But look for the possible outcome in 30 years from now. Learn everything possible including risks and opportunities about AI and AM and only if you can make an educated decision, judge it – as an hopefully autonomous human.

THIS IS WORK IN PROGRESS

Many countries explore ways to get not disconnected from the AI development even though the risks and opportunities of AI are highly controversial.

Since several of us are working in the Artificial Intelligence space for quite a while, we decided to put up an initial framework for country leaders. We believe that only a program developed in concert with other stakeholder has a good chance to be accepted by all.

It is in collaboration with our ambassadors in roughly 20 countries. More helping hands are very welcome. We will be updating this program on the go – leaving the previous versions as blog posts here. Theoretic AI is developing rather quickly and so should be this framework.

AI Leadership Framework

The “AI leadership framework” is a project in development. We are working with a large number of great minds from over 20 countries to postulate a framework that can be used as is, or as a base for a country’s own AI Leadership Strategy. While we see the risks that AI has, we see the grander opportunity for humanity. And if nothing at all, in the next 50 years we will learn more about ourselves than during the entire lifespan of humanity.

1) Data Awareness

Data is a new natural resource for the highly developed world. What was Gold, Coal, Oil, even healthy soil and so forth in the past,  is data in our immediate future. There is an abundance of data. The key is to intelligently harvest the overwhelming amount of available data. Being aware of the fact, that we all are creating new data, billions of data every single day, is the first step to create policies, infrastructure to protect – but also motivation to share those date. Like in previous technology developments, the US has been in a leadership position early on. Data power houses like Google, Amazon, Facebook, the credit card organizations and telecommunication companies, already sit on data like no other country.
Country leaders should understand: Data are generated in almost every country, including emerging countries and even some sub emerging countries. Not being able to use those data in a secure and privacy protected way is a major obstacle in a countries development. Natural resources just got an additional position in their list.

2) Access to data

The more data can be assessed the better the results from AI systems. In particular in the early days of any AI development, it is critical to get access to an enormous amount of data. Enormous means several hundred thousand records about the same topic. Over regulated and fearful societies and those with fear driven privacy campaigns are clearly in a disadvantages position. Amazon has access to trillions of dollars worth of shopping from past years. Together with data usage from their AWS business unit Amazon is one of the top player globally. Google sits on quadrillion of data points from all the searches and knows what people look for, why, what problems they have, what products they search,what illness they have and so forth. Facebook, unlike the other two has much more social interaction related data. The recent collaboration with credit card institutions provide Facebook a hot mix of social and commercial data and relations. Of course privacy is an issue but not using the data is like having hectares of apple trees but letting the apples rotten in the ground.
Country leaders should recognize that blocking data access due to the inability to protect the owner’s privacy of those data brings those countries behind. Retraining a population that ‘it is OK now’ is a daunting task.

3) Engineering

AI is no longer an IT discipline. AI requires top level mathematical knowledge, understanding of neural networks, understanding of reasoning and decision making processes, understanding in cognitive behavior, awareness know how, and much more. Image and speech recognition skills are simply a given. The vast majority looks at AI as a software code that is written by humans and can do at best as well as the programmer. That an AI system can not only perform computational processes but also build intelligent correlations, make then decisions and outperform humans in almost every predictable project is foreign to most of the postulation. The algorithms (mathematical procedures) allow AI systems to learn from hundreds of thousands of situations, then construct millions of situations similar to those they learned from and have a richer set of “experience” than any human ever being able to accumulate. While this is good – we need to understand the implications.
Country leaders should know that no longer only engineers are needed to develop leading AI applications but also Social Scientists,  Biologists, Mathematician, human behavior experts and related skills.

4) General Education

In past major development shifts, the education of what’s happening was more or less based on the effort of the businesses who produced and marketed those new technologies. However the possible impact is too significant to only hope the education will work out. If 50% of jobs will be irreplaceable eliminated, we need concepts and education how who this will not turn out as a catastrophe. We need to explore options in advance and educate those who have been educated to look for work and do what others tell them to do. what opportunities are out there in this new world. For the past 300,000 years humans have been taking care of themselves, have been rather autonomous and been creative to survive. In the past 200 years that has changed. The main job was to look for work and just do it. We are in a way going back to more autonomy and self determination. While this is an amazing and positive development, for many people it is on open void they may not be able to fill by themselves. Education and guidance is a key aspect of leadership – always was.
Country leader should seriously consider a greater makeover in their respective education systems. Mechanical learning of Physics, Math, Chemistry, Biology, History, Languages, is no longer enough. And as our knowledge base now doubles every year and the learning capacity of the young already crossed the limits, we need to consider actually reducing the amount of the content in the core classes and add data technology, society and political rights and responsibilities as these topics require a better understanding of everybody.

5) Language Empowerment

The world’s information is by and large stored in English language. Even the use of the term ‘Artificial Intelligence’ is important to be held in English and not in a local language. One of the key success aspects of AI is the openness and willingness to cooperate globally – that means by default in English. Leadership by ‘closed shop’, and keeping everything close to ones chest and secretive will never lead to superiority.
Country leaders should seriously consider reviewing the language learning in each country. Even though it is part of the general education, it has a very special position in the AI development. No longer it is only about the globally universal language of code writing, there is also the new language of system interaction. Already today AI components outperform any language on earth with more than 1 to 100 relative to English. Roughly 200 French Language ‘Skills” (applications) or close to 3,000 German skills versus more than 10,000 English skills.

6) Culture & Failure Tolerance

Whatever a team is creating, it is critical to get the early prototype rapidly into the market and work with massive amounts of actions. AI cannot be only tested in a lab – it needs to be tested in the market. The European or Asian perfectionism is counterproductive to AI development and will automatically make those actors fall behind. Google’s AI project that was used to learn about battery usage in Android smart phones moved within six months from concept to being used globally. We can learn only from errors. We will not learn from a perfectly working solutions. What sounds stupid to many engineers has been proven right over and over again. The motto Fail and fail fast is even more important in AI development.
Country leaders may want to consider driving an initiative that makes making mistakes an act of learning and progress rather than an act of failing. Chinese president Xi Jinping addressed Chinese entrepreneurs early 2018: ‘Making mistakes is the best way to learn fast’.

7) Transparency

Due to the competitive nature of any new technology, we most likely will never be able to find out who is working on what. Our brains are still the most private part of our lives – and hopefully will be forever. Yet, we should develop a work ethic that calls for voluntary transparency on the Matter of AI development. Now, recent incidents demonstrated that a business may not trust its own government because of its sheer power. A government should not even attempt to play a controlling role in the transparency question. And since trust is one of the key issues in that, maybe a system like we know from the blockchain development maybe a future option. Another reason why we should keep governments out of this role is the lack of trust among governments themselves. The current suggestion is that AI scientists select a consortium of trusted, anonymous third parties who get tasked to oversee the development as such and analyses the potential risks – with no authority power.
Country leaders may want to consider endorsing such an engagement, maybe send an observer but not ‘control’ it in any aspect. The control should instead lay in relevant and meaningful AI safety policies and law enforcement activities.

8) Taxation

There is a good potential that Autonomous Machines (AI driven systems) could wipe out 50% of the ordinary jobs by 2100 (plus/minus 50 years). Any given society would not recover from such a situation without well thought out planning. One concept maybe that each robot may be charged with a tax equal to one employee. That “AM-Tax” can then be used to fill a fund for unconditional base income or similar system. While the company would still have to purchase such a machine, it can quickly amortize the investment with this artificial employee not taking vacation, not needing social extras and possibly can simply rented as needed. Several scenarios can be found in “World with no work”.
Country leaders should be way ahead of time working on models for their respective society. That includes considering the competition from outside their country. The AM-Tax might be on conjunction with the production output (revenue) or operative savings (cost) they produce or save.

9) AI / AM imports

When importing AI from other countries we need to be aware that this may inherit a certain danger. Those machines may not comply with a country’s Safety & Privacy roles. Data maybe abused or used illegally and more. Importing such machines is a similar subject like importing weapons.
Country leaders should consider to establish early on AM (Autonomous Machine) Import rules and most importantly taxes in line with their overall AI or AM taxation.

10) Safety & Privacy Policies

Another key aspect of the leadership framework is the existence of the “Safety Trio”:
1) Privacy & Data Policies
2) Criminal Acts Policy
3) Human Protection Policies

10.1) Privacy & Data policies
need to be established to not only protect the general population from misuse of data but also education about the consequences of not providing data. Data as such needs to be structured beyond the act of privacy protection but also the protection of data, that belong to the creator of those data. Yet, it needs to be understood that data can either belong to one person or legal entity in its entirety or belong to a whole group pf people or entities. The complexity and permutation of data needs to be carefully explored on the go.

10.2) Criminal Acts Policy
Most likely the act of hacking systems and stealing data, corrupting data or systems or destroying either data, systems or network infrastructure will want to be set as a serious criminal act. As systems get more sophisticated they also can cause more damage than in the past and can bring people and a whole country into serious trouble. AI leadership needs to demonstrate its sensitivity for protection while at the same time its openness for sharing data. As such, hacking needs to be elevated to a serious criminal act with substantial penalties. The criminals act policy should also expanded into political treaties where country leaders agree on respecting the criminal acts policies of each other.

10.3) Human Protection Policy

There is s great level of fear, that AI based Robots, so called autonomous machines, may be at risk of harming humans. Right or wrong, AI leadership requires responsiveness and offers a solution. A possible method is to legally enforce that every autonomous machine will need to have a mechanism to be remotely shut off by especially selected authorities and/or mechanisms. A structure like the domain name service where systems are distributed around the globe may also be applicable to distribute the shut of mechanism. Robots without such a mechanism maybe considered illegal and by order of the law destroyed and the creator and owner penalized. The instantiation of the ‘Criminal Acts Policy’ is in particular important for this ‘Human Protection Policy’.

 

 

SUMMARY

As stated in the beginning, the AI Leadership Framework is in an early stage and far from being complete. But in the interest of transparency also of our work, we wanted to share where we are at this stage and what we are working on. Suggestions may change into very different directions based on inputs and the work we are doing going forward.

 

A 3 day global online live event

Today we concluded an amazing 3 day innovation and entrepreneurship power play. Over 500 attendees from over 40 countries joined the online live event and in local ‘public viewing’ events.

Albania, Argentina, Australia, Austria, Azerbaijan, Belgium, Brazil, Canada, Denmark, El  Salvador, Germany, Ghana,  Greece, Hong Kong, Hungary, India, Israel, Italy, Japan, Liechtenstein, Lithuania, Macedonia,  Nepal, Netherlands, Nigeria,  Mexico, Norway, Peru, Portugal, Romania, Russia, Singapore, South Korea, Sweden, Switzerland,  Taiwan, Ukraine, United kingdom, United States, Uzbekistan, Vietnam.

From physical to digital

What’s the secret sauce for the success? The whole event was online. Last minute we changed the whole format from a physical event which would have been only affordable for the wealthy countries to online – and made the access for free for all attendees. The cost to organize the event was significantly lower, we did not need to fly in 500 people – and feel good about the savings in negative environmental impact, carbon footprint and more than ten thousand hours in aggregate for none productive preparation and traveling.

Live Online Pitch from Nepal

Live presentation of a team of scientists who developed a new method to easily test animal pregnancy and getting results within hours. They don’t need any long lasting clinical tests anymore which would not be economically feasible in many countries. Startup winner from Nepal.

The Whole Ecosystem was here

It was extremely interesting to see innovative startups from various industries, tech, biology, health, and more to present. Investors discussed national and international investment strategies, valuation differences and due diligence processes.  Enabler such as incubators, co-working spaces, accelerators, mentors and technology and service providers shared their point of view and how startups from around the world could just go to any space and any enabler and receive help when going global. Government representatives and ambassadors shared what it takes to enter a country and how they can help to make the start and the stay easy and convenient. The 58 sessions in a highly intense 15 minute sequence was a firework of information.

Hot Investor discussion

Investors from all backgrounds explain investment strategies and experiences. Why investing in international startups is attractive but also the obstacles on the legal and taxation side are to be understood. Discussions about valuation, due diligence and what investors expect, how they evaluate and select startups and the best ways for startups to find investors.

Public Viewing of the otherwise global online event

Our ambassadors in Japan, South Korea and Nepal organized global viewing events. The global online event was supported with local on-site events to foster the regional and global community. The Japanese team together with Fabbit, a leading co-working space, organized the perfect show (see below).

Live presentations – streamed around the globe.

Here a startup in Japan is presenting on stage, the event is live streamed to all attendees around the globe, our Judge located in Switzerland listens and asks questions about the presentation. 500 people in 43 countries watch, learn and share.

Going Global – What can be done

Ambassadors from Japan, Vietnam and the team in Switzerland share how startups from around the world can travel around the world and ramp up a business in a new country possibly even within a few weeks.

Amazing Technology – literally from the kitchens of the future

Russian startup presents a new night vision technology, which is very affordable, light weight and easy to install in the next generation of automobiles. Imagine traveling at night and you can watch the scene almost as if it is a bright day.

A new dimension in high tech conferences

There was never any innovation conference of that diverse and complete audience from the whole ecosystem, on a global scale run all online over multiple days. And to be quite honest – most people found it a bad idea “conferences are networking events, it will never work online”. We kind of agreed but we still needed to try (The risk of regretting not trying is greater than the risk of failing). The dynamic of this first little conference is the spark, helping us to completely rethink global conferences.

Where we are going to take it from here?

  • Strengthening and growing the global community
  • Building the necessary platform technology and blockchain for permanent connections
  • Engagement such as discussing individual challenges, questions, ideas, marketing, acceleration, going global and countless other topics.

Please  JOIN  the community.

Thank you, attendees from 40+ countries, S3-Ambassadors from around the world, speakers, investors, enablers, supporters,  and the Society3 dream-team! Also thank you Swisscom for a rock solid 1 Gigabit glass fiber connection directly onto our desk – wow, flawless.

Today we may debate whether or not a robot will ever be superior to a human. Superiority has many angels. And a robot may not catch all of them. But in the basic work life, it is different. And maybe one robot may not be as good as a human – but a whole range of networked Artificial Intelligence-based robots will outperform us in almost any segment of work on all levels and all industries !!!

 

Our single biggest disadvantage

The vast majority of humans, still today, keep knowledge close to their chest. Sharing of knowledge, experience, and mistakes is not our biggest strength. Sitting in a corner, thinking through the permutations of what happens with a machine in certain circumstances – is our biggest strength. But we know that our brain capacity is not unlimited. As long as we continue to share only if really necessary, think for ourselves, hope we earn special attention for our knowledge – we are in danger that all our jobs get eradicated before we adapt to newer better behavior. Our physical limitations are too weak to stand up against a series of highly developed AI networked technology – whatever we call it.

Cultural Advancement

We are what we got introduced to by our cultural frameworks. Our parents teach us to be humble, not to share our experience unless it is necessary, to experiment for ourselves until we are sure that our experiments are successful. We are conditioned to not talk about things that are still uncertain. Our communication prison is huge. Some cultures however advanced already. And the most interesting thing is that it was actually that very advancement that brought the AI / Robotics technology to life – Silicon Valley. Now some may argue it was elsewhere and so and so already had developed that first version of AI years ago. Well – so sorry to say that, an innovation has absolutely no value unless it is brought to a broader market. “The initial value if any innovation is zero”. Without cultural advancement, we will maintain that widening gap between developed and emerging countries. As long as emerging countries do not embrace more openness, a culture where failure is not just OK but actually good and a key part of learning – the country will remain to be an emerging country.

Artificial Intelligence, biggest driver for human advancements

Humans have one extraordinary ability: humans can adapt to new situations within one and the same generation. No other life form can do that. Big Data is giving businesses who leverage big data a huge advantage over others because they simply know better and faster what is going on. If we learn that networked AI systems will be able to tap into those data and create analysis, able to make decisions and derive strategies from the results, They will be ahead of us and we will essentially do what they suggest. We can’t even verify in time so we simply go ahead and do it. Yes it’s still a tool – but we do what the tool is telling us what to do without even being able to debate it. But we will learn one thing: if we connect our brains we get a whole new edge – maybe beyond our own imagination.

Experiment at Society3 World Innovations Forum

Imagine we do what these AI networks do and network our brains, very simply on a daily base by sharing, communication, analyzing our own mistakes and come to new conclusions every day? The collective intellect when really in action has unknown and incomprehensible reserves. The least we can do is to explore them. And it is almost for free. We only have through some of the old cultural remains overboard. At Society3 this is exactly what is going on right now. Society3 is building a digital layer across the globe that exists to connect people and their ideas, challenges, questions and answers together. http://society3.com We are not here to win a competition with AI-based robots but simply bring human entrepreneurs to a level that has never seen before.

Money is globally available – just understand how to attract investors. Top tech companies started all over the world. In Microsoft Seattle, Spotify in Sweden, SAP in Germany, Samsung in Korea, Sony in Japan, Acer in Taiwan, Atos in France, Euthereum in Switzerland…

All have one thing in common: The somehow learned how to attract investors, had their story down and knew how to talk to investors – where ever they are.

Over the past 4 years we had startups from all over the planet in our accelerator and 50% got funded (the highest funding rate in the startup world).

Now we are starting to run free pitch events – ONLINE. These live events shall allow any entrepreneur, wherever they are on this planet to attend. No more traveling for entrepreneurs training.

Next training June 5 in all time zones! read more

We envision a world where prosperity is possible for all nations by increasing innovation and entrepreneurship locally.

Since we can’t get every entrepreneur in the world to come to Silicon Valley – Silicon Valley needs to come to the world – for free.

Please help spread the word, in particular in those countries where entrepreneurs don’t have easy access to capital. http://s3buzz.com/ntd5xx

 

In my previous two blog posts I shared a base view and two examples. In this post I will share some ways to get to a state of the art level of digitization in your business.

As stated in the previous blog post, computerization or digitization 1.0 started in the 1960’s. With rare exceptions, most businesses are fully computerized. Computers, smartphones, Internet and the corresponding software are simply the underlying infrastructure for digitization. In my follow on blog post, Digitization is a mindset,  I described the effects based on the two examples: Amazon and Uber.

Find out your degree of digitization

The degree of digitization today, can also be seen as a collection of individual and unique competitive advantages. If you like to further explore full digitization of your business you may want to use the following guidance:

  1. Think in degrees of digitization?
    – Digitization is not a have or not have. It is a sliding scale from basic to medium, to good, to excellent
    – Can you identify the degree of digitization in your business?
    – Do you have a customer advisory board you can work with to increase the level of digitization?
  2. Modern Business Culture?
    – Digitization is a mindset and requires a modern, open minded and transparent company culture.
    – Do you have an executive team or business owners who don’t want more transparency and rather keep everything close to their chest?
    – Do you have an old style sales and marketing culture that prefers to deliver information only on request and see it as a special value rather than an obligation to freely provide it such as pricing etc.
  3. What is your logistics integration look like
    – Do you still need to manually enter orders, requests or anything else?
    – Are your customer and business partners able to access any record of their transactions online?
    – Can your customers see the order or return progress at any time online
    – Can your customers access business history with you online?
    – Are there any rewards systems for customer activities?
  4. How deep is your sales channel all the way to the individual consumer integrated in your digital presence?
    – Are your direct customers, business partners, vendors, supplier all the way to the individual end user of your products or services fully integrated in your digital presence?
    – Can any of your customer access their own data easily in your system, maybe change their names, email addresses etc? Can they see the products they have and the services they can acquire?
    – Do your customers have access to all the manuals, service descriptions, pricing, spare parts etc.?
    – Do you have a customer community where your customers can meet and exchange experiences?
    – Do you know if your final end consumer is interested in finding out more information from you?
    – Do you have any form of relationship escalation between the end consumer, sales channels, yourself and maybe suppliers of yours?
    – Are customer rewarded when they mention you online on public networks?
  5. What services, knowledge and information can you provide completely paperless?
    – What is the degree of paperless information flow from brochures, to orders, invoices, or contracts?
    – Do you still require a hand written signature on any document?
  6. How many technological channels do you support today?
    Is all the information available on classic websites, do you support mobile devices, do you have dedicated mobile apps, is information exchange possible via social media?

Competitive Advantage

Each and every act of digitization 2.0 should be considered a unique and individual competitive advantage. If it is not a competitive advantage it is probably just a regular digitization 1.0 measure to run your operation.

Obviously the above are only some samples of obvious digitization measures to increase your degree of digitization and creating unique competitive advantages. True so called “disruptive moments” in your business model, network effects and other topics are rather individual to your specific business case.

The global race for more innovation is rapidly accelerating – still it is lead by California. Even the east coast states like NY, Massachusetts or other US states including Texas or Florida are still looking at California when it comes to top innovation. And Europe as a whole is far back and so are most of the Asian countries.

Asia the manufacturing powerhouse – not yet the innovation driver

Clearly Asia is on the run for the pole position in the world when it comes to mass manufacturing. Yet, Japan, who was actually the first Asian country with huge manufacturing power, shows a state of saturation, high prosperity and therefor high salary and its competitiveness in production leadership is slowing down. Other Asian countries have a high potential for becoming leading production farms to serve and support the growing population on earth – and with that potential a high potential for more production revenue a high potential for growing prosperity.

Strategic tech innovation still come from the US

However – in the past 30 years – it appeared that the manufacturing power is a very different economic value compared to innovation power. And while Germany, Switzerland, and France boost some of the most innovative technologies outside the US, with their “hidden champions” – it is the US who dominates the global technology space with the most relevant innovations. Relevant meaning technology that if it would be taken away would have a serious impact on the global economy.

Large corporations can’t disrupt themselves

All too often people hope that large corporations can just create an “innovation lab” in order to create innovative ideas – very much like a startup – and bring them to market. But in almost all cases that dream is bursting like a bubble after the innovation was created. When running a 20,000+ people company, each and every employee must run on 90% or better performance in order to be economically viable. If only a few would start experimenting with crazy ideas, the whole corporation me get in trouble. And if an “external” innovation lab brings a new solution into the company, the executive team quickly realizes that the sales organization has no resources to create a market or sell the product into the existing customer base, marketing has no capacity to bring new products to market, support teams are at 110% load and so forth. Corporate innovation is bound to the very same principles like a young startup: permanently under funded, lacking resources, trouble to get initial traction,  difficulties building a brand and a sales force and so forth. Corporations must create very different methods and values to actually make a corporate innovation lab successful.

Government Innovation Programs

Government innovation programs have evolved and we see a huge amount of innovative solutions in many countries. However most of those innovative solutions don’t make it. Billions are pored into startups and great ideas, yet they did not return the investment. An innovation in itself is of zero value. Only of the innovation is successfully brought to market and considered a value for the customer, it begins to create a value for the owner, the participating employees and partners and the economy. Yet, a local product is never bringing a major contribution to the national prosperity. But if the product goes global, the national  contribution to prosperity begins to flow. A country that is self sufficient is probably healthy and OK but never very prosper. A country with a high export rate however creates prosperity from the excess production value. A country with a high export rate from genuine and highly innovative products is the most prosper way for economic growth.

Innovation Economics – We Need To Understand

Here is probably the most interesting aspect of the innovation economics: If 5 countries are highly innovative and 10 countries not, obviously the five countries are much richer than the 10. And in the old thinking of competition, we try to be better (more innovative) then the other countries. But if all 15 countries are highly innovative, all 15 countries are rich and the five countries are richer by serving 15 rich countries than serving only 4 other rich countries and 10 poor countries. Yes, the delta is less and less but the overall economic power grows. Once we accept that model, we no longer keep countries poor or keep people dumb. Instead we keep competing but on a smaller difference. Formula-1 race cars are extremely fast and the winner wins often by a margin of a split second. Unlike 50 years ago where we saw minutes in between – simply because everything was a secret. In Silicon valley we have a spirit of sharing – even the “secret” strategies. Simply because we learned that sharing, openness and transparency is the biggest accelerator of all.

 

 

Five major initiatives for increasing national innovation

Society3 created five major initiatives to increase local innovation power and connect it to a global network to drive a global business:

1) Global Exchange
A global network where people are permanently connected. The exchange / community platform provides users instant access to all members via web, mobile and other services. The objective is to get answer on questions within a few minutes or hours, find new business partners around the globe, compare notes, and open sharing for ultra fast learning from each other.

2) Events & Meetings
While a digital global exchange is the only way to get people from around the world to collaborate and learn from each other fast, people need the personal face to face exchange too. Therefor Society3 and their local representatives conduct national entrepreneurs night events to meet and exchange on a national level and the World Innovations Forum to get together at least once a year on a global level.

3) Innovation Education & Acceleration
Education and acceleration through the accelerator program that we are currently preparing to be delivered online so everybody can participate and soon offline in the countries at local accelerators. Unique about the accelerator is the “knowledge and methods to train what it really takes to create a unique and innovative solution, build a disruptive business model, and bring it to global markets within very fast”. Society3 was named one of the top 100 most influential global accelerators.

4) Global Trading Platform
A new blockchain based trading platform will allow startups and young innovative businesses – even old ones – offer and sell their goods globally at a fraction of today’s cost – but most importantly bridging the gap from a conventional local business to a global business. Lacking the skills and bandwidth to go global is the most significant gap to today’s Silicon Valley’s leadership position.

5) Government & Corporate Innovation Labs Support
Governments and Corporations in over 100 countries are undertaking enormous initiatives to increase their innovation power. At least in the past 20 to 30 years no significant innovation stood out compared to Silicon Valley, which was an orchard just 70 years ago. The Society3 Group developed a methodical approach to accelerate significant innovation development within the respective country. Here the same techniques are applied as in the accelerator program: “Knowledge and methods what it really takes to create a unique and innovative solution, building disruptive businesses, and bring solutions to global markets within a very short period of time”.

Purpose for a global innovation push

Beyond the self serving objective to drive more business as a corporate or country, there is an additional purpose for the global innovation push. In order to eradicate hunger, poverty, and inequality, we as the human race, may want to drive “equality in prosperity” across the globe by creating innovation, entrepreneurship and business development from within the countries rather than external aid. And as a bonus we will see a wave of new innovation from all these different cultures.

 

World Innovations Forum and Society3 is expanding its volunteers network – globally. Society3 volunteers help bring more prosperity equality to the world by helping countries to create prosperity from within rather than aid from the outside.

Society3 Group AG is a global innovation and entrepreneurs network with representation in 26 countries – and counting. The organization provides a global exchange for innovative minds such as entrepreneurs, corporate innovation labs, investors, mentors, incubators, accelerators and innovation officers at governments. It provides a platform for all innovation stakeholder to connect globally and locally, online and offline, and rapidly improving business success rate across the globe.

The Society3 founders team, who lived 20 years in the Valley, decided to take it to a new level and create a digital version for the digital natives. The objective is to double the innovation success rate by 2035 and amplify prosperity in all nations.

We think big, no problem is too complex, no solution too bold, and no idea too crazy. If we can think it, we can create it. We are here to help entrepreneurs make the impossible a reality, for the benefit of all of us.

MAJOR INITIATIVES

1) WORLD INNOVATIONS FORUM 2018

The annual World Innovations Forum event, is held across 3 days this June 12-14, 2018, taking place in Zürich, featuring 20+ countries and international startups and welcoming over 200 guests.

What we are looking for:

· Volunteers available for the event dates June 12 – 14 and for set up on June 11, 2018

Duties and Responsibilities:

  • Set Up (setting up the event space, staging, design, backstage etc.)
  • Entry ( tickets, guest greeting and orientation)
  • Info team (helping attendees to find what they are looking for)
  • Monitoring Event Space (cleaning, organizing)
  • Photographer / Videographer (taking clips and pictures from every situation)
  • Security (watch doors and other important points of access)
  • Universal support for whatever it takes to make the event an amazing experience
  • Tear Down (Removing stages and cleaning up the event space)

You will meet amazing entrepreneurs, investors and innovation enablers from around the world. You will get a unique insight into the world of startups, innovation, entrepreneurship and investments. And it will certainly be a lot of fun too.

We are providing free volunteers training ahead of the task.

You will be listed (unless you don’t want to) as “Innovation Advocate at the World Innovations Forum and Society3“. Feel free to use that title in your CV and on your LinkedIn profile as a volunteer’s position. After a year of support, you will receive a certificate.

Please email us at volunteers at society3 com share what you are interested in and what intrigued you to join.

 

2) NATIONAL ENTREPRENEURS NIGHTS (GLOBALLY)

We are organizing entrepreneurs nights in 26 countries, where entrepreneurs, investors and innovation enabler meet on a regular base. Events are currently held or planned in Albania, Argentina, Australia, Bangladesh, China, Germany, Great Britain, Hungary, India, Italy, Japan, Macedonia, Nepal, Netherlands, Nigeria, Norway, Russia, Singapore, South Korea, Sweden, Switzerland, Taiwan, Tunisia, Turkey, United States, and Vietnam.

What we are looking for:

Volunteers helping us for 2-3 hours with

  • Set Up (setting up the event space, staging, design, etc.)
  • Entry (guest greeting and orientation)
  • Info team (helping attendees to find what they are looking for)
  • Photographer / Videographer (taking clips and pictures from every situation)
  • Universal support for whatever it takes to make the event an amazing experience

We are providing free volunteers training via an online conference call.

You will be listed (unless you don’t want to) as “Innovation Advocate at the World Innovations Forum and Society3“. Feel free to use that title in your CV and on your LinkedIn profile as a volunteers position. After a year of support, you will receive a certificate.

Please email us at volunteers at society3 com share what you are interested in and what intrigued you to join.

 

3) SOCIAL MEDIA SUPPORT (GLOBALLY)

We are engaged to help young entrepreneurs to give them more visibility on a global scale. To do so we aggregate their latest news and share them in all the countries where we are active in. To support these activities we are looking for supporter who can share content about innovations and engagements in certain technology fields in the respective countries. We are looking for volunteers in Albania, Argentina, Australia, Bangladesh, China, Germany, Great Britain, Hungary, India, Italy, Japan, Macedonia, Nepal, Netherlands, Nigeria, Norway, Russia, Singapore, South Korea, Sweden, Switzerland, Taiwan, Tunisia, United States, Turkey, and Vietnam.

What we are looking for:

Volunteers who have a good online network of open minded people
helping us maybe 30 minutes a week

  • Sharing content that we are sharing in the respective country.
  • Providing feedback on the content and its reception in the country
  • Responding to comments or requesting us or the respective startup to comment
  • Never share content that you don’t understand or you don’t like to support

We are providing free social media training to prepare you for the task.

You will be listed (unless you don’t want to) as “Innovation Advocate at the World Innovations Forum and Society3“. Feel free to use that title in your CV and on your LinkedIn profile as a volunteers position. After a year of support, you will receive a certificate.

Please email us at volunteers at society3 com share what you are interested in and what intrigued you to join.

 

We look forward to hearing from you,