Employees attribute AI project failure to poor data quality

A clear majority of employees (87%) peg data quality issues as the reason their organizations failed to successfully implement AI and machine learning. That's according to Alation's latest quarterly State of Data Culture Report, produced in partnership with Wakefield Research, which also found that only 8% of data professionals believe AI is being used across their organizations. For the report, Wakefield conducted a quantitative research study of 300 data and analytics leaders at enterprises with more than 2,500 employees in the U.S., U.K., Germany, Denmark, Sweden, and Norway. The enterprises were polled regarding their progress in establishing a culture of data-driven decision-making and the challenges they continue to face. According to Alation, 87% of professionals say inherent biases in the data being used in their AI systems produce discriminatory results that create compliance risks for their organizations.