AI in production surges, but data quality lags behind : Apryse
NeutralArtificial Intelligence
- A recent global survey by Apryse indicates that 64.5% of enterprises have implemented AI in production, yet only 38.1% consider their document data to be of excellent quality, highlighting a significant gap in AI readiness. This disparity raises concerns about the effectiveness of AI systems that rely on high-quality data for optimal performance.
- The findings are crucial for organizations looking to leverage AI technologies, as poor data quality can hinder the potential benefits of automation and intelligent decision-making. Companies may need to invest in improving their document infrastructure to fully realize the advantages of AI.
- This situation reflects broader trends in the tech industry, where the rapid adoption of AI is often accompanied by challenges related to data integrity and security. As organizations prioritize AI integration, issues such as rising deepfake incidents and the need for robust data governance become increasingly relevant, underscoring the importance of addressing data quality in the AI landscape.
— via World Pulse Now AI Editorial System
