AI Adoption Struggles with Data Quality, According to New Report
As Artificial Intelligence (AI) continues to shape industries, a new report reveals that nearly 68% of data leaders are grappling with data quality issues when deploying AI. Despite the growing reliance on AI to improve business processes, the challenge of maintaining high-quality data remains a significant barrier for many organizations.
The report highlights that only about a third of companies are effectively utilizing AI due to these data-related obstacles. Poor data quality can lead to inaccurate predictions, flawed decision-making, and reduced efficiency in AI systems. Experts argue that addressing data quality issues is crucial for companies to fully unlock the potential of AI and drive more value from their investments.
Despite the challenges, the demand for AI continues to grow, with companies striving to overcome data quality hurdles by investing in data cleaning, integration, and governance practices.
