The Data Roles Needed for AI
Daniel Neaves, senior recruitment consultant at Harvey Nash, discusses the impact of the long-standing challenge of extracting value from data on the rollout of modern AI systems.
As businesses implement AI solutions, good quality data and sound data processes are fundamental to success, with data being the foundation on which AI is built.
getting data right has long been a challenging area for organisations.
A key finding in the Nash Squared/Harvey Nash Digital Leadership Report (DLR) is that digital leaders struggle to get real value or business-useful insights from their data.
Author summary: Data quality is key to AI success.