AI AND ML “ Those on the path are already reaping the benefits of being able to make decisions driven by predictive analytics ”
ELLIOTT YOUNG CHIEF TECHNOLOGY OFFICER , DELL TECHNOLOGIES
So , what do companies need to do today in order to take control of their data , AI and ML ? Peres-da-Silva and Buffie both say it is critical that stakeholders get the foundations right . This might include prioritising a cloud-based , AI-data platform and the corresponding checks to ensure the entire ecosystem is compliant for data management and governance .
Human employees shouldn ’ t be overlooked and will , in fact , play a crucial role in the development of a successful AI-data strategy , say Peres-da-Silva and Buffie . “ Creating a positive user experience is critical for the adoption of your data and AI strategy . Each part of the organisation may be looking at the same data but through a different lens .”
Specialists and champions required to bridge the AI / ML gap Dell ’ s Young suggests business units need to work in collaboration with specialists to identify requirements and create solutions , while a dedicated AI / ML champion within each business unit is a necessity , as they can help bridge the gap between those with business knowledge and the data scientists building AI models . technologymagazine . com 127