The Ingenesist Project

The Next Economic Paradigm

Tag: search engine

The Value Game Cracks the Monetization Paradox

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On February 20, 2011

In General Information

The Value Game is becoming increasingly generalized as more entrepreneurs seek to learn how to apply it to new economic realities.  The first company to launch is Social Flights.  Quickly funded, in full operation, booking jets and signing contracts, the Social Flights success trajectory has been truly remarkable.

The Ingenesist Project is deploying several more applications of The Value Game.  Our next venture is to develop Reputation Management for High Net Worth Individuals (HNWI).  Here’s how it goes.

The Social Influence Game:

Player 1: At some point, the government is going to stop supporting many very important social programs such as schools, health care, child care, retirement benefits, and possibly even close the charitable tax deduction.  In order to survive, social causes will need to come up with new forms of support or fund themselves with a new form of currency.

Player 2: Many politically and financially influential people in communities are finding that their “Google Results” often tell a story that is less than flattering.  Some have old lawsuits, unpopular business associates, or just too much personal information that presents a skewed picture of how they actually feel toward their community.  It is risky, difficult, and expensive to change Search engine results and it is nearly impossible to “control” what other people say.

Player 3: Legions of Social Media Gurus have long learned to aggregate and influence markets using social media platforms.  They have learned to match knowledge surpluses to knowledge deficits as a means of building their own online reputation and influence.  Many Social Media Gurus have achieved a strong Social Media Presence, which supports book tours, lecture series, personal brand image, or corporate clients and sponsorships. They constantly seek new content.

Converting Political Currency to Social Currency

The Social Influence Game will match HNWI with Social Causes where the HNWI can exert their political and Corporate currency in exchange for Social Currency.  Many HNWI have a powerful lifelong network of other influential people from whom they can find advice, mentorship, assistance, or discover goods, services, or physical inventory that may become useful and available to a struggling social enterprise.

Social Media Gurus who make these connections will blog, comment, and promote their ability to match power surplus to power deficit.  Internet Search results will redraw the Social Graph.

Holiday Shopping For the New Millennium

In practice, HNWI can “Go Shopping” for social causes.  When they find one that suits their talents and passions, they will be able to see what that organization needs; beds, food, heating oil, legal advice, CEO mentor, someone to lean on the land lord or even exert a position with the local government, etc.  The HNWI then will pull out their lifelong Rolodex of powerful persons and exert their influence in favor of the social cause through the interpretation of the Social Media Guru.

Winning The Game:

After a short while, Google will start pushing the old search results of the HNWI farther and farther down the page as the tweets, comments, and blog posts accumulate.   The Social Media Guru will find gold in their own backyards instead of Corporate Astroturf.  Social Causes will achieve their mission while managing new resources and earning important new friends.

Perhaps most importantly, the HNWI community will collaborate in order to sustain their Social Currency in the community.  They will begin to bias their personal and professional actions in favor of social priorities over Wall Street priorities.

In Short, everyone acting in their own best interests benefits the interests of everyone.  This is Social Capitalism.  If it works well enough, maybe we can finally put those pesky social causes out of business.

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Social Value Creation: How To Manufacture Wisdom

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On October 29, 2010

In General Information

We call this wisdom

In the old days, the hiring manager was the person to know if you wanted to get a job. They would read your resume and compare it with the “bell curve” in their mind.  This bell curve contains a statistical sample of all similar situations that the manager has witnessed, the variables involved, and a range of outcomes observed across their long and illustrious career…Ohhhmmmmmm

We Call This Simulated Wisdom

Modern HR systems try to simulate this wisdom through a series of innovations such as key word search, structured interviews, personality tests, and employee incentives. Now we can use Google (an information company) to derive sort of a proxy for wisdom as we assess search results in our own image.  Facebook and Linkedin go a step further by providing us with another filter through which to pass judgement upon a future employee or partner.  The problem is that the more we look into these systems, the more they deliver back to us a reflection of ourselves…Ohhhmmmmm

Social Media vs. Normalized Intellectual, Social, and Creative Capital

The Data need to be Normalized

The world has become so strange, complex, technological, and interwoven, that no single person can possibly posses such a vast and broad set of experiences as to arrive at an optimized outcome every time.   Innovation favors strategic combination of diverse knowledge unlike the Industrial revolution which favored identical packets of similar knowledge.  The Innovation Economy will require a completely new approach to social value creation.

The Social Credit Score

Not unlike the FICO score, the knowledge inventory is a collection of potential knowledge events where the social network is a reporting agency that has a vested interest in meaningful knowledge events. Unlike FICO however, the variables for knowledge can be infinite (think of the Dewey Decimal System).  Also, a Social Credit Score would respond to positive events rather than a finite set of negative “hits”.

The Percentile Search Engine

Instead of just returning information, this new search engine must return probabilities from which an entrepreneur may test scenarios related to the likelihood of executing a particular business process at a known time, cost, proximity, ROI, etc.

Example

Innovation Economics

An entrepreneur may want to know if her team has enough knowledge to execute a business plan. Perhaps the team has too much knowledge and they should try something more valuable. Maybe the team does not have enough knowledge and they should attempt another opportunity or accumulate training.

Valuation of Knowledge  The search engine can look into a network and identify the supply and demand of a knowledge asset. If it is unavailable or too expensive, the search engine can adjust for price, risk, or options that may emerge at a later date.

Business Intelligence Organizations can scan each other’s knowledge inventory and decide to compete, cooperate, acquire, or evade.

Knowledge management If a key person retires, the entrepreneur would simulate the knowledge that is lost and reassign people strategically.

The Secret Sauce  Companies such as Disney and Boeing both use Engineers, each would have proprietary algorithm of knowledge that represents their “secret sauce” of success. These recipes can be adjusted and improved to reflect and preserve the wisdom of an organization. Over time, these algorithms will become far more valuable then the Patents and Trade Secrets created by them – this will allow technologies to be open sourced much more profitably and shared across more industries.

Eventually, we will learn to manufacture wisdom …OhhhhMmmmmGeeeee

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The Vicarious Search Engine

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On July 7, 2009

In General Information

The search engine wars continue as both Google and Bing develop more exotic ways of arriving at the wrong answer.  Both commit the same error as all declining industries in social media space; assuming that they can predict what people want without engaging them in a conversation.

The first development is the predictive search notably pioneered by Amazon.com for predicting future purchases based on past purchases.  While predictive search is an improvement, the next step is the “vicarious” search, that is, when the search engine sees the world through your eyes – or someone Else’s – for your benefit.

The Web is Flat

The Ingenesist Project specifies a standard knowledge inventory that may be represented as a packet of code.  If someone wanted to see the web through the eyes of another person, they could buy a packet of their knowledge inventory.  Likewise, a web article would be tagged with the representative knowledge inventory code of the author.  Each comment or re post to a blog article would contain the knowledge inventory of its aggregated vetters.

The search can be done in reverse as well.  If I find an idea on the web and want to know who can execute it locally, I can simulate the knowledge inventory in one or more local people.  This is not trivial.  It literally allows an entrepreneur to manage knowledge assets that they did not know exists and predict content that does not yet exist.

Been there, done that?

Obviously there are privacy, security, and ethics issues related to others seeing the world through your eyes.  But what if every American was told 20 years ago that their identifier number for an insolvent social security program would be attached to their personal, medical, financial, and civil records then spun through Wall Street algorithms, sold worldwide to advertisers, politicians, banks, insurance companies, demographers, and ultimately hacked?  The cities would have burned.

So why can’t social mediators monetize?

The difference today is that if packaged correctly, we can own and control our knowledge inventory.  We can allow or decline access and we can revoke access – it happens all day long on Face Book, Linkedin, Twitter, and My Space.   On-line communities represent collections of knowledge assets.  The 400 Billion dollar per year advertising budget is on the table – up for grabs.  The 100 Billion dollar “head hunting” budget is up for grabs. The multi-billion dollar election budgets are all up for grabs. What are we thinking?

The likelihood of Innovation

The innovation economy will depend on business intelligence related to society’s knowledge inventory to match most worthy knowledge surplus to the most worthy knowledge deficit.   Entrepreneurs must know supply and demand for knowledge assets as well as where to find them at what cost.  Entrepreneurs need to predict competition, disruption, risks, and volatility in knowledge assets.  They need to conduct scenario tests before expending money.  They need to predict the likelihood of innovation and all of the options that they have in the future related to those innovations.

The Securitization of Knowledge Assets

Entrepreneurs need to securitize knowledge assets in order to finance innovation on the scale that will be required to offset our massive debt. This is how the innovation economy must play out.  We cannot depend on corporations or governments to do this for us.  People must control, regulate, anonymize, and manage  their own knowledge inventory.   If only they could see their world through the entrepreneur’s eyes – perhaps they need a vicarious search engine more than anyone.

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Matchmaker, Matchmaker, Make Me a Match

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On June 22, 2009

In General Information

The $40 Billion Dollar Dowry

Every organization wants to attract the most qualified employees and match them to jobs for which they are best suited. The human resources department is responsible for matching a knowledge surplus to a knowledge deficit through the hiring process. Fortunately for them, there is no knowledge inventory in society and managers don’t necessarily know what they want.

Human resources, training, and labor relations managers and specialists held about 868,000 jobs in 2006. The following tabulation shows the distribution of jobs by occupational specialty:

Training and development specialists    210,000
Employment, recruitment, and placement specialists    197,000
Human resources managers    136,000
Compensation, benefits, and job analysis specialists    110,000
Human resources, training, and labor relations specialists, all other    214,000

An HR Generalist pulls an average income of about $50,000 per year; A Director earns up to $140,000 per year. The total HR national payroll is estimated at $40 Billion annually.

Commodity Management:

Human Resources creates the impression that people are merely commodities to be treated as expenses rather than assets; or at best, like office machines or vehicles, despite assurances to the contrary.  The HR profession is built on the assumption that people cannot manage themselves, that human behavior is random and intangible, the independent variables for success are always known by management, and that the key words on a resume is the best predictor of a good match.

Innovation Economics; the science of incentives:

Social Media is providing systems for people to organize and manage their own career.  True knowledge inventories are forming as social groups coalesce around standard taxonomies of professional practice outside the corporate construct.  Knowledge assets are being vetted in communities of peers and the resume is being replaced by a Social Network Profile and “Search Engine Footprint” which more accurately predicts the quality and quantity of knowledge assets.   In the near future, a predictive search engine will be able to predict the probability that various collections of knowledge assets can execute a specific business objective at a known cost.  Scenarios can be tested and compensation will reflect true supply and demand.

Superior Value Comes in Many Different Packages:

So what happens when top management meets the new Human Resources Training and Content Development Manager who was sent by the Social Networks Search Engine to build the new corporate Blog and Social media strategy – sporting facial tattoos, a nose ring, and a black kilt, and dreadlocks?  If the fact that a top manager is not comfortable with a person of a particular culture or lifestyle can be perceived as detrimental to the innovation capacity of the organization, that organization is threatening its own survival.

Don’t Shoot The Fiddler

The story of Fiddler on the roof centers on Tevye, the father of five daughters, and his attempts to maintain his family and religious traditions while outside influences encroach upon their lives. He must cope with both the strong-willed actions of his three older daughters—each one’s choice of husband moves farther away from the customs of her faith.  The story resolves with a slow acceptance of the new world and creeping redefinition of what love is and what love can be.

In an Innovation Economy, the perfect match is no longer determined by those inside the construct of tradition, rather, it is determined by those entrepreneurs on the outside redefining tradition – and  earning 40 billion dollars.

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You Are The Algorithm

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On May 4, 2009

In General Information

You are the algorithm.

Google is an information company. Their corporate charter is to organize the World’s information.  Their limitation is that Google cannot organize knowledge because knowledge exists only within the consciousness of a person.   Instead, busy little Google spiders scour the Internet looking for high rates of change of information and they use that as a proxy for “knowledge”.

An economy is crawled

Google Spiders favor blogs because of the high frequency of updates, postings, tags, comments and keywords in comparison to static websites.  The logic goes as follows; if there is a lot of activity, something must be happening.  As a result, an entire industry has grown around the blogging and Search Engine Optimization business; listings are counted, raw data are analyzed, comments provide feedback loops.  Most notably, money is exchanged.

B-school tells us that that ROI can only be calculated from long term future projections, not short-term-recent-past spider activity.  If this “economy” cannot be projected through ROI, then how exactly is it projected?

Dynamic, like life itself

People are figuring out that the rate of change of information is the best indicator of value as well as the best way to create value. The last mile of social media is the next frontier of value creation as people will emulate ‘Google Spiders’ and scour their community for changing information, new ideas, improved information, and feedback loops to organize, categorize, and distribute.  This action will ultimately play out in new corporations built upon perfect dynamic information markets rather than third party selective information markets.  Exit Boston Globe, enter Twitter.

Organize this:

The key to unraveling the Innovation economy will be in refining, restructuring and organizing the profound relatedness between information, knowledge, and innovation.

Information is facts and data – this is the medium of exchange or “the currency”.  The rate at which the facts and the data change is a proxy for new knowledge being created somewhere and somehow. After all, if there is activity, something must be happening.   All of the things that people do with the results creates even more new knowledge – this is innovation.  Innovation creates new information. New currency is created because new information is created.  Knowledge expands.

There is something in it; otherwise people would not do it

We are seeing the tip of the iceberg; social media is the new engine of the innovation economy.  Where information becomes more perfect, markets become more efficient.  Where markets are more efficient, knowledge becomes more tangible.  Where knowledge is more tangible, innovation is more predictable.  Where innovation is more predictable, the innovation risk disappears.  The lower the risk, the cheaper and more abundant the venture capital.

People increasingly use social media to improve information, everywhere, any way that they can dream of.  They increasingly act locally and share globally to create opportunities for themselves and their communities.  People and their behavior is the algorithm of the innovation economy; monetize that. Google did.

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The Global Financial Crisis; The End Game

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On February 18, 2009

In General Information

The year is 2024, no burning cities, no mass hysteria, no bread lines; the economy is on an exponential growth curve.  It took a while, but the financial crisis of ended in an anticlimactic sort of way.  Sure, lots of hedge fund bankers became unemployed, some went to jail, and many companies once deemed titans of industry have disappeared, but nobody seemed to notice much anymore.

Government debt has been eliminated and Wall Street has become the steward of what has become an Innovation Economy rising from the ashes of debt economics.  The transition, in fact, was surprisingly smooth.  Social Network applications such as Facebook, Linkedin, G+, and many more, developed a clever way to make knowledge tangible outside the construct of Wall Street and the traditional corporations and people began trading knowledge like currency.

When inflation hit, the dollar started to fall in value, people began trading a different currency called the rallod (dollar spelled backwards).  The rallod was backed by future productivity resulting from innovation rather than future productivity supporting debt.  When the dollar finally crashed, it pegged to the rallod and the economy began to grow again with an astonishing, yet peaceful, transfer of wealth and power to open sourced self-regulating communities; i.e., society in general.  The vicious cycle of debt economics was reversed just in time.  It’s still hard to believe what happened.

Today the engines of economic growth are tens of thousands of hot new start-ups that exist in the form of “Value Games” related to specific technology areas rather than the old corporation model.  They automatically cluster around a technology and spin off other start-ups at an incredible rate in a strange nesting arrangement called the “tangential innovation” market.  Most innovation is open sourced because the “Patent” (and protectionism in general) is no longer the center of the innovation finance universe, rather, the “secret sauce” of social, creative, and intellectual capital is the most valuable asset today.

About 15 years ago, something resembling the human genome project mapped all knowledge in the form of social, creative, and intellectual capital that exists in society to a very high granularity.  An API standard was created to represent knowledge assets like packets of code that are processed by a community algorithm. The CV/resume is an old bar joke now. Thanks to a visionary government, 1st amendment protections were built into this inventory with anonymity laws and privatized TOU; creators own what they create.

An open source percentile search engine was created to enable entrepreneurs to build unique collections of knowledge assets and predict the probability that various combinations of these assets could successfully execute a business plan.  High diversification induced hyper-innovation around technologies and the resulting innovations are spun out to be reabsorbed by different and diverse communities of practice in continuous iterations forming a virtuous vortex of new systems, methods, and solutions.  Sketched out, these arrangements looked like electrical “integrated” circuits.  Wealth creation is intense.

Since the knowledge inventory has mapped all knowledge and the Percentile Search Engine calculated probabilities and scenarios, the Innovation bank formed to make most worthy and optimal matches between knowledge surplus and knowledge deficit in a community.  Since the probability of innovation success has become predictable, innovation risk is now diversified away.  Innovation insurance products abound. With near-zero innovation risk the cost of venture capital has approached 5-7 % instead of 500-2000% of less than a decade ago.  Banks now issue innovation bonds on the public market to finance innovation in society.  For an investment of such high return and such little risk, participation is near universal.  This created another virtuous circle; the more innovation that occurs, the more money is created.  The more money that is created, the more innovation occurs.

Instead of having jobs, many people in a geographic area are pinged by the Percentile Search Engine which calculates the likelihood that their interaction together will increase the probability of successful execution of a business plan when combined with other knowledge assets.  Instead of earning wages, people collect micro-royalties specified by contracts on capital asset sub-sections. These micro-royalties add up to substantial residual income enjoying a multiplier effect as their work continues downstream over their lifetime. The government funds social security through it’s own innovation ventures. Service workers such as police, teachers, fire fighters, nurses, local merchants, etc., are key beneficiaries because of their impact on the community is directly associated with productivity.

Many of the senior knowledge workers have determined that they can earn more money by taking an equity position in their students, and the students of their student.  Unlike a decade ago, pyramid schemes in innovation economics are sustainable and generate astonishing profits.  Mentors have entered the landscape in vast numbers and apprenticeships have become abundant.  The income potential for the “creating creators” boggles the imagination.   Again, a virtuous circle has formed between the mentor and the student. In aggregate, wisdom is being retained, refined, and transferred efficiently throughout social networks.

University “degrees” have disappeared in favor of unique combinations of knowledge assets that are continually SEO’d for best Percentile Search Engine Placement.  People do not compete directly, rather, they compete with the Percentile Search Engine in the local market place by cooperating among each other.  As owners of their knowledge assets, the entrepreneurial spirit is ubiquitous.  No individual has either a monopoly or an identical knowledge set as anyone else.  Everyone has perfect information about the knowledge assets in a market.  People are pinged for different reasons at different times for different rates depending on supply and demand.  Continuous education is a social event in itself, often mistaken for recreation!

Even the poorest areas of the planet are getting into the action because, by definition, the parts of an economy with the highest potential for technological change correspond to opportunities that return the highest dividends in an innovation economy.  Arbitrage opportunities between master and oppressor have disappeared worldwide.

Like a neural network, the economic system of tangible knowledge is self-correcting, fault tolerant, and self-regulating.  Governments across the globe tried to stop the social network driven innovation economy – but they eventually gave up.  It was like trying to stop water; it flowed between the cracks and simply eroded the barriers.  The most incredible outcome is that innovation now reflects long term social priorities instead of short term Wall Street priorities.

Oil production has been replaced by superconducting wind turbines, global temperatures have stabilized, all cars are electric or “water leakers” (as the hydro’s are affectionately known), many diseases have been cured, and the list goes on.  It is hard to believe this happened in only 12 years.  Then again, the Internet had only been widely used 15 years prior to 2009.  Did I mention, we’re finally sending a multinational expedition to Mars…

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Business Plans of the Innovation Economy

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On December 3, 2008

In General Information

There is no shortage of money in the world but there is plenty of risk. Most business failures are due to knowledge deficits such as the inexperienced management team, a poor assessment of market conditions, underestimating the amount of money needed, underestimating a competitor, loss of a key employee, poor understanding of the technology, etc. These are knowledge problems not financial problems, yet they can sink the most promising companies.

To solve the knowledge problems is to decrease the risk of innovating. To decrease the risk of innovating will decrease the cost of venture capital. Decreased cost of money to innovate will induce innovation economics.

With a computer enabled knowledge inventory in the correct format and a Percentile Search Engine that returns probabilities on strategic combination of assets, the business plan of the innovation economy becomes very simple; The Innovation Bank does one thing very well over and over again – it matches correct knowledge surplus with the correct knowledge deficit at any point in time for any strategic reason. This process is then repeated over and over in infinite different combination.

The first business structure is made up from two single knowledge transactions arranged in parallel – like a parallel circuit. This arrangement represents a brainstorming session between two or more people.

The Percentile Search Engine matches the person with the knowledge supply to a person with the knowledge demand. The transaction can be as simple as a conversation, sketch on a napkin, or white board flow chart. Each time the cycle goes around the new ideas of one person ignites a new ideas in the other person. Each time the transaction occurs, there is a net increase of new knowledge. The conclusion is usually some tangible action, system, or method. The conversation stops when no new knowledge can be created in either person – or when people just get tired (rate of change approaches zero).

The entrepreneur is very interested in the outcome of these conversations and uses the Percentile Search Engine to select, regulate, modify, adjust, analyze, and record the transactions. The Percentile Search Engine is used again to select diverse participants for the parallel business structure with the intention of producing a specific outcome.

The second business structure is made up from two single knowledge transactions arranged in series – like a series circuit. This arrangement represents the product development cycle.

Again, the Percentile Search Engine matches the person with the knowledge supply to a person with the knowledge demand. The transaction is a simple conversation and the outcome is a prototype process, system, or method. Each step in the series is an improvement to the method. Each time the transaction occurs, there is a net increase of new knowledge. The conclusion is the development of the system, business plan, or method. The conversation stops when the product is ready for another iteration or the market. The Percentile Search Engine is used again to select diverse participants to continue the series business structure with the intention of producing a specific outcome.

The entrepreneur is very interested in the outcome of these iterations and uses the Percentile Search Engine to select, regulate, modify, adjust, analyze, and record the transactions.

Now if we mix the parallel and series circuits, we form what looks like a neural network of parallel and series networks. Now, we are squarely in the regime of “designer” Social Networks. Participants are paid in micro-royalties instead of wages. By definition, a relatively small input produces a very large output – if it can be captured.  This will be the source of wealth creation from the new corporations of the Innovation Economy.

We determined in an earlier chapter that information, knowledge and innovation are related as mathematical derivatives.  The accounting system will identify innovation by measuring the rate of change of knowledge transfer within a social network.  Any number of current methods, systems, or innovation consultants can deal with this.  Similarly, in order to identify high rates of change of knowledge in a social network, the accounting system will measure high rates of change of information.  This too is quite simple using common systems, methods, consultants and tools.  No new infrastructure is required with the exception of the knowledge inventory, percentile search engine, and innovation bank.

The entrepreneur can now do what they do best; identify assets operating at low productivity and reallocate them to areas of high productivity by running them through an innovation system.  Remember, most businesses fail due to knowledge deficits.  To reduce or eliminate these risks will make the fact or innovation predictable and therefore negotiable.

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Social Networks and the Multiplier Effect on Innovation

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On September 18, 2008

In General Information

If we combine the parallel transaction with the series transaction we have what now looks like a neural network. In practice, we know that strong networks of people freely exchanging ideas make organizations better, smarter, and more efficient. Networks are where knowledge and wisdom is literally stored. A network is fault tolerant, if one person leaves, the network survives. For a relatively small input into a network, we can produce a large output of new knowledge – we have a learning organization.

However, in society, these interactions are largely accidental; people meet at Church, Starbucks, and Social Events or by word of Mouth. Other times, these interactions are concentrated inside a single community of very similar people such as a technical conference, group meeting, or lunch buddies and are often not well diversified.

Suppose the interactions among people were not random, instead, they could be designed by the entrepreneur to produce a unique outcome. The Innovation Bank will combine people of complementary knowledge assets in a calculated manner in order to arrive at specific business approaches and applications.

A special case of the above business method and resulting social network is called the Multiplier Effect. A financial bank enjoys a multiplier effect with the ability to lend the 10 times more money than they hold in reserve. Money changing hands has a multiplier effect on an economy. Again, financial analogies hold.

Suppose that a company owns composite material technology for use on aircraft. Since they specialize in airplanes, they have no intention of pursuing other applications such as recreational equipment, energy production, or health care products.

Suppose that the company could deposit this asset in a bank and collect interest. The Search Engine can scan the business landscape to find companies with a knowledge deficit in the area of your technology and make loans of your technology. As the originator, you have the option to see what those other companies invent and you hold the right to use their new ideas in your aircraft application.

With an innovation Bank, you can reduce your Research and Development costs and create additional revenue in a tangential innovation market. With reduced cost and risk of innovation, you are likely to specialize more and more in innovation as your enterprise. In the event of a cyclic downturn in the business of an originator, instead of “laying off” knowledge assets, people can work in tangential industries where they will continue developing – literally putting “Knowledge in the Bank” – to be called back when market conditions improve. A mobile knowledge asset increases in value becoming smarter and more productive over time.

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The Innovation Bank

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On September 18, 2008

In General Information

So now, what are the entrepreneurs going to do with this percentile search engine?

Entrepreneurs wander the earth looking for valuable things that are being used at a low level of productivity and they move those assets to a higher level of productivity and then pocket the difference, called profit.

Think pet rock, condo conversions, sand, corn, etc.,…it goes on forever.

The entrepreneur needs to have a clear view of what the asset is, the lower level of productivity, and the higher level of productivity of the asset. These three elements are the focus of all business plans. Then they set things in motion and give life to the market system.

When we look at financial banks we see the classic entrepreneurial activity. In the simplest form, banks do little more than find people who have a surplus of money and they match them with people who have a deficit of money.  Bankers have a clear view of the asset, the lower level of productivity and the higher level of productivity for the asset.

They pay a lower interest to the depositor than they do to the borrower and pocket the difference. In addition, they enjoy a multiplier effect that allows them to lend the same money many times effectively creating money from a promise to pay, or debt.

It is in the best interest of the bank to find rich people who will not need their money for a while, and poor people that have the best likelihood of paying the money back in time. This is to minimize the risk that the depositor will pull out their deposits and the risk that the borrower will not pay back the loan. The problem is that some assumptions need to be made, some of which may no longer be valid:

The bank assumes that the borrower has the knowledge required to execute the business plan that they are financing. Unfortunately, the credit score does not predict knowledge on future ventures.  For this reason, new ventures are not easy to finance.

The financial bank makes the assumption that the entrepreneur has the knowledge to execute a business plan that they seek money to fund.

On the other hand, the Innovation Bank makes the assumption that the entrepreneur has the money available to execute the business and is searching for the knowledge to do so.  This service will be required in the innovation economy since no single person can live long enough to possess as much knowledge as is required to manage the complexity of problems that face the World. We will need to mind meld.

The Innovation Bank simply matches most worthy knowledge surplus with most worthy knowledge deficit and a market is born.

The challenge for the innovation Bank is to match the most correct knowledge surplus to the most correct knowledge deficit. This is accomplished with the computer enabled knowledge inventory. A search can be conducted of the supply and demand for knowledge assets. The Percentile Search Engine will calculate the probability that the specific business objective will be successful.

The business plan for the entrepreneur is very simple but the implications are vast.

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The Percentile Search Engine

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On September 17, 2008

In General Information

The Percentile Search Engine is a way of using a computer to make predictions about all types of combinations of knowledge Assets.

Conceptually, the percentile search engine is where all of the equations that we use to analyze financial assets are now applied to knowledge assets. The main characteristic is that the Percentile Search Engine returns probabilities – that is, what’s the probability of success for any number of scenarios.

For example; an entrepreneur may want to know if her team has enough knowledge to execute a business plan. Maybe the team has too much knowledge and they should try something more valuable. Maybe the team does not have enough knowledge and they should find someone else, take training, or try something simpler. The Percentile Search Engine can look into the community and identify the supply and demand of a knowledge asset. If it is unavailable or too expensive, the Percentile Search Engine will even tell them what training they need to increase their probability of success.

The entrepreneur may also want to determine what competitors have a dangerously high probability of competing with her new business. The Search Engine will allow competitors to scan each other’s knowledge inventory to determine how long it would take for their secret sauce copied. They can take then choose to take evasive action, compete, or cooperate. If a key person retires, the entrepreneur would simulate the knowledge that is lost and reassign people strategically. All of these scenarios can be examines prior to spending money. They can be made during the project cycle, or after the project is completed. Lessons learned can be used to adjust the algorithm perfecting it over time.

While companies such as Disney and Boeing both use Engineers, each would have proprietary combinations of knowledge that represents their “secret sauce” of success. These recipes can be adjusted and improved to reflect the wisdom of an organization.

Over time, these algorithms will far more valuable then the Patents and Trade Secrets created by them – this will allow technologies to be open sourced much more profitably and shared across more industries.

Literally thousands of new business plans will emerge from this important new paradigm. Knowledge will become tangible outside of the organizational construct of the corporation. Knowledge combinations will become the new corporate structure. The rate of change of knowledge with respect to time is the key metric and fundamental building block of the innovation economy.

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