#data management

'New MIT study shows that while AI capabilities have surged, most organizations lack the data practices needed to turn those advances into business results, with only 2% reporting high AI performance.'

Surveyed executives say data engineers are increasingly pivotal to AI initiatives, spending far more time on AI projects and coping with rising complexity and workloads

Enterprises are moving AI from experiments to strategic core, with data quality and governance as critical factors for successful AI implementation and business impact.