Machine learn­ing — ml not only for machines

14. September 2018

Machine learn­ing and arti­fi­cial intel­li­gence are on the advance. How­ev­er, the “mas­ter­minds and execu­tors” must not be for­got­ten. ML also means that employ­ees learn and use their nat­ur­al intel­li­gence. Trans­for­ma­tion begins in the mind, only when accep­tance has been cre­at­ed here can dig­i­tal trans­for­ma­tion lead to the goal. The belief in soft­ware and hard­ware alone is not enough to make the leap to “Indus­try 4.0”.

There is often talk of an inter­nal trans­for­ma­tion in order to be able to imple­ment the for­ma­tion of new busi­ness mod­els, new coop­er­a­tions or inno­va­tions at all.


“In order to suc­cess­ful­ly shape the dig­i­tal future, agili­ty, speed, cre­ativ­i­ty and not least a ven­ture mind­set are required,” says Jür­gen Bret­feld, CEO of Adva­neo GmbH. These are require­ments that even the largest data pool can­not meet on its own.

Only the cor­rect uti­liza­tion and use of exist­ing data as well as data acquired from out­side will result in agili­ty and speed with which machine and human learn­ing lead to the great­est pos­si­ble effi­cien­cy.