“ I think the objective is for those systems to learn the knowledge that’ s in people’ s heads”
Igor Rikalo, President and Chief Operating Officer, o9
I think we are at a better place where we can convert the knowledge that resides in people’ s heads, to be actually encapsulated into the models. And then those models can replace some of the more simple decision making. Humans deal with ambiguity a lot better than computers. Computers have to resolve the ambiguity to black and white, one and zero, and some of the newer models are able to deal with the ambiguity a little bit better, but still I think the humans are superior there.
Q. CAN YOU SHARE A CLIENT-BASED STUDY WHERE O9 HAS AIDED IN ENTERPRISE INTELLIGENCE?
» We are seeing a huge amount of value derived from getting good at a few things. And it’ s all about the forecast accuracy and what we are seeing specifically in the consumer packaged food and beverage space, which can get into the mid eighties to low nineties, which is quite remarkable achievement for the machine to be able to be so accurate with a very little bias. We’ re seeing some of our clients achieving upwards of 80-85 % touchless
120 February 2026