KUBRICK
“ Via market intelligence , we understood where the real need was ,” Lawrence explains . “ Data engineering has always been our most in demand practice , so we ’ ve trained more data engineers than any other practice .”
He adds : “ We ’ re helping organisations with satisfying the skill they need in data engineering , but layering governance on top of that . There ’ s no point engineering data if it is poorly governed , so we worked our way down the foundations and now have great relationships with our clients and tech partners .
“ The need is data governance . It underpins everything – businesses can ’ t transform and can ’ t embrace technology if they don ’ t address the foundations . You can ’ t just throw numbers at it . You ’ ve got to throw skills at it and work with the right tech partners .”
Part of this strategy inevitably involves AI , which has led to significant challenges impacting businesses seeking to digitally transform . In order to remain competitive , organisations are finding that AI offers them a strategic advantage .
As enterprises around the world scrabble to harness the technology , they are becoming aware that their data governance processes are insufficient or out-of-date . Lawrence explains that a company will not have good-quality AI if they have poor-quality data .
“ AI governance is equally important ,” he says . “ You can ’ t move forward with AI if you ’ re not going to be compliant , so governance is key .”
Lawrence also indicates that the global workforce is having to shift in order to make space for AI technologies .
“ The need is data governance . It underpins everything – businesses can ’ t transform and can ’ t embrace technology if they don ’ t address the foundations ”
LAWRENCE FREEMAN
6 kubrickgroup . com