Like any data product, when it comes to AI, garbage data in means garbage responses out. The success—and safety—of AI depends on the reliability of the data that powers it.
This Wakefield Research survey—which polled 200 data leaders and professionals—highlights the pressure data teams are under to deliver production-ready AI applications—and the risks that continue to expand in the process.
Among a variety of statistics that indicate the current state of the AI race—and professional sentiment about the emerging technology—this survey demonstrates that the data quality problem is evolving rapidly. And when data quality risks evolve, data quality methods need to evolve too.