THE SUPREME RULE: The first rule of suc­cess with data ana­ly­tics and arti­fi­ci­al intel­li­gence (AI) is to use (a) the right data and (b) in the right quan­ti­ty, becau­se AI can only extract insights, if the infor­ma­ti­on for it is cap­tu­red in the data – and the more, the bet­ter.
For examp­le, if pre­dic­ting the fail­u­re of a machi­ne is the objec­tive, then any data input for crea­ting the algo­rithm must con­tain infor­ma­ti­on on past fail­u­re events and lots of the­se events. Other­wi­se, it is “gar­ba­ge in, gar­ba­ge out” (GIGO).

Text by: Prof. Dr. Chris Schlue­ter Lang­don, Deut­sche Tele­kom