Data Complexity and Trust Are Top Barriers for Wider AI Adoption
• Data complexity is a major barrier to AI adoption, cited by 25% of companies in an IBM study. Other top barriers are limited AI skills and expertise.
• Over half of companies are not yet implementing AI. Data privacy and trust/transparency concerns are holding them back.
• Companies already using AI cite data-related issues as their main barriers, though some are taking steps like tracking data provenance and reducing bias.
• Organizations need to adapt their data strategies and prepare for emerging technologies as they integrate generative AI. This involves understanding data security, ethics, and AI literacy.
• Determining approaches to filter unnecessary data is urgent. Companies also need to balance competitive advantage from AI with protecting sensitive data.