CIOs are under pressure to drive through AI initiatives that will make their organizations more competitive, effective, and productive. Yet for many, data is as much an impediment as a key resource. At Gartner’s London Data and Analytics Summit earlier this year, Senior Principal Analyst Wilco Van Ginkel predicted that at least 30% of genAI projects would be abandoned after proof of concept through 2025, with poor data quality listed as one of the primary reasons. At the same summit, Senior Director Analyst, Roxane Edijlala, noted that “having data ready for AI drives greater business outcomes…
