Think Bigger. Aim Higher. Go Further.

Tag: predictive

Enterprise Prediction Markets Summit

(Editor: I’ll be speaking at the following event on June 4th. If you are in the area or blogging issues in this genre of ideas, let me know and drop by. Look up the other speakers and you’ll find an extraordinary group of visionaries preparing to make this PM Cluster Summit a truly enlightening event.)

Enterprise Prediction Markets Summit:
Leading Enterprise Prediction Markets

Friday, June 4 2010 8:00am – 5:00pm

EVENT LOCATION: The Boeing Company: Integrated Aircraft Systems Lab Building 2-122, Conference Room #102L2 (Conference Center) 7701-14th Avenue South Seattle, Washington 98108 USA

EVENT REGION: US –Pacific Northwest


EVENT PURPOSE: This summit is for executives, directors, mangers, users and practitioners having immediate needs to apply collective intelligence networks and enterprise prediction market mechanisms to advance business outcomes through mastery of collective wisdom.


EVENT SPEAKERS: Dennis P. O’Donoghue (Boeing), Sharon Chiarella (Amazon.com), Arik Johnson (Aurora WDC), Dan Robles (The Ingenesist Project), Dr. Richard O. Zerbe, Jr. (Evans School of Public Affairs), Christel Alvarez, ConsensusPoint, George Neumann, George Daly Research Professor of Economics, (Iowa), Olav Opedal (Microsoft, Internet Security)


EVENT COST: $99

EVENT WEBSITE: http://pmclusters.com/Prediction%20Markets/SEA10.htm


EVENT CONTACT NAME: Jennifer Hulett

EVENT CONTACT PHONE: 714-784-0754

CONTACT EMAIL: Jennifer.Hulett@pmclusters.com


MUST ONE RSVP: Yes! No on-site registration

ATTIRE: Business Casual

BUSINESS CARDS: YES – Bring Business Cards


EVENT NOTES: The conference sessions are focused, practical and conversational. They are for executives, directors, mangers, users and practitioners having immediate needs to apply collective intelligence networks and market mechanisms to advance business outcomes through mastery of collective wisdom.


ORGANIZATION NOTES: The Prediction Market Clusters, founded in 2004, are the global industry commons and open community for prediction markets and collective intelligence networks worldwide. The open, agnostic network is a focused collaboration of vendors, academia, traders, users, developers, markets, regulators and stakeholders. The goal is to provide awareness, diffusion, adoption and pull-through for enterprise and consumer prediction markets. The Prediction Markets Cluster is the worldwide Next Practices network for collective intelligence networks practices, tools and theories.

PM Clusters

Prediction Market Clusters
http://www.pmclusters.com

The Vicarious Search Engine

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.

The Résumé Must Die

Résumé: A French word for separating the body from the brain

We are entering a renewal in the work force.  The global imperative is for the United States to become an innovation economy now.  This is an entirely different animal than the Industrial revolution; I have long argued that the résumé system is by far the most archaic knowledge management “currency” of trade in use today.

The entire premise of the résumé is destitute, if not destructive, in the modern world.  Words on a computer screen are a very low level ‘media form’ being used to describe a very high ‘media form’; social, creative, and intellectual capital.  It’s like using crayons to design an aircraft.

If the key words are so important, why have any other words?

A manager always hires people that remind them of themselves.  They estimate the future success of a candidate based on their own limited, and often static, past experiences.  The world is moving so fast and has become so complex that no manager can possibly know enough to capitalize the future based on a viable statistical sample of past experiences – we’re all holding on for dear life in a hurricane of change.   The problems and opportunities of the future are so huge, so important, and happening so amazingly fast yet the allocation of human resources is worse than random for a candidate pool.

While the Ingenesist Project discusses a solution at great length, I’ll just stop complaining and share a few comments (self titled) that I’ve picked off some recent Human Resources Blogs:

***

1. And our future goes with it:

“Most recruiting systems I’ve seen screen out innovators. Any résumé that is unique, different or convention-defying gets surreptitiously put in the junk pile.”

2. Start by looking in the junk pile:

“The Innovation Economy requires that the talent that creates the most value for an organization must rise to the top.  Innovators are playing an increasing role in creating shareholder value – one might argue that they create the most shareholder value these days – and figuring out how to find and attract this very different breed of talent is one of the most critical initiatives you can launch within your organization.”

3. What part of “share holder value” are we having difficulty with?

“The most innovative people I have ever met don’t follow conventions in their experience or in their résumé.  Or, they get bored very quickly when they can’t innovate or are forced to focus on operations, and efficiency.  Most might look like (and even be) job hoppers”

4. Here is my favorite comment – I wish I could hug this person:

“I think it takes more than a résumé to screen an Innovator in or out. As blogs, blog posts, social networking, more powerful search tools, personal websites, the emergence of video on the web, talent platforms that offer CRM, etc. etc. etc. continue to become additional tools for an employer to consider in making a hiring decision, is the résumé still a currency for a candidate?”

***

We have an inventory and CAD model of every nut, rivet, and panel that goes on an airplane – why would we try to build anything without one?

So Please, let’s evolve out of the revolutionary times and develop a real community knowledge inventory.  It must be computer enabled and based on a taxonomy that everyone knows and understands.  It must be read, analyzed, sorted and vetted by social networks and communities of practice. It must integrate with  knowledge assets from anywhere in the world.   A self-perfecting algorithm must be developed for a predictive percentile search engine in a pull system that seeks, matches, and deploys the ‘secret sauce’ of success, specific to any application, anywhere, any time – and fast.

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