AI STRATEGY
It ' s complementary Of course it ’ s not all about the technology , there will have to be more of what Mathias Golombek , CTO at analytics database management software company , Exasol , terms ‘ collaborative intelligence ’ – the combination of human expertise and AI .
“ While the concept of machines augmenting human activity has been around for some time , the significant change in working patterns and rapidly moving situations of today means we expect further experimentation and investment in this area . However , where AI will not only alter how work is done and who does it , it will compliment human activity . This will impact highly in employee and customer interactions , optimising customer communications in high value areas such as fraud detection and issue handling ,” he says .
Sacha Giese , of IT infrastructure management software business SolarWinds , adds : “ AI is capable of saving organisations thousands of dollars when it comes to downtime . Be it server or network outages , emergency changes , new releases or , of course , human error . It can be used to assess data , helping service providers make informed choices without having to manually look through downstream impacts , significantly reducing risks . And with IT professionals no longer having to spend time carrying out manual and repetitive tasks , they can concentrate more on better user experience for the business as a whole .
Conclusively , Ingrid Verschuren , Head of Data at Dow Jones states : “ Ultimately , AI is only as smart as the humans behind it and their systems are only as good as the data we put into them . That ’ s where human expertise is so crucial . AI and Machine Learning alone cannot determine which sources to leverage and how to access them . Subject matter experts determine which sources to screen against – AI can take it from there .”
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