Generative AI is increasingly used in applications, but its successful implementation faces many challenges. The latest CDO Insights 2024 report points out that data quality is the biggest obstacle hindering enterprises from adopting generative artificial intelligence. The report surveyed many companies around the world and revealed the key role that factors such as data quality, privacy and AI ethics play in the successful implementation of generative artificial intelligence projects. More and more enterprises are aware of the importance of high-quality data and are actively seeking solutions to improve data quality to better utilize generative artificial intelligence technology.
According to Webmaster Home, the latest CDO Insights 2024 report shows that data quality is the biggest obstacle to implementing generative artificial intelligence. The survey shows that 45% of companies globally have already implemented generative artificial intelligence, while 53% plan to implement it. The report emphasizes the importance of data quality, privacy, AI ethics, etc. for enterprises to implement generative artificial intelligence. Additionally, the use of data management tools also had an impact on the project, with data quality cited as a key factor in successful implementation.All in all, the findings of the CDO Insights 2024 report clearly demonstrate that data quality is key to successful adoption of generative AI by enterprises. Only by addressing data quality issues can the full potential of generative AI be realized and potential risks avoided. In the future, enterprises need to pay more attention to data governance and management to ensure the healthy development and effective application of generative artificial intelligence.