Distributed Intelligence, distributed knowledge

The issue of knowledge is shifting from owning the knowledge to knowing where the knowledge is and how to access it. Image credit: Managing knowledge in the Digital Firm

Gartner has just issued a press release stating that only 20% of today’s workforce has the knowledge needed to do their job and to foster their career.

The study is focussing on companies involved (or that should be involved) in the digital transformation, where Gartner noticed that 70% of the employees do not have sufficient knowledge to embark in the transformation process and 80% do not have the knowledge and skills needed to foster the transformation and be ready for the transformed business and company.

Interestingly Gartner points out that rather aiming at increasing the individual skills and knowledge it would make more sense to enable and teach individuals to connect to the ones having the right skills and knowledge. In other words they are betting on distributed knowledge.

I was in a team at EIT Digital discussing this point in preparing for the Innovation and Partner Event scheduled in Brussels next week and just yesterday I was discussing the very same thing in the context of the Symbiotic Autonomous Systems Initiative where a radical new education program is being designed, taking into account the evolution towards symbioses of humans and machines.

To me it seems quite clear that pursuing (only) continuous education is leading nowhere. Continuous education is stemming from the realisation that knowledge is deteriorating very rapidly.

Knowledge obsolescence in some areas is faster than in others, The half life of knowledge in IT is approaching 1 year!!! in the broader technology area is below 4 years and in professional expertise is around 6 years. Image credit: Shuppel

Once, as it is happening, the time to accrue new knowledge is longer than the window of obsolescence it is clear that continuous education aiming at making up for knowledge obsolescence is a lost battle.

There is much more to this, and I’ll discuss that in the next post.

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.