Recently, the 2024 State of AI Report released by Appen has garnered significant attention. Based on a survey of over 500 IT decision-makers in the U.S., the report reveals that generative AI has grown by 17% in the past year. However, alongside this growth, companies are facing considerable challenges in data management. Si Chen, Appen's Head of Strategy, mentioned in an interview that as AI models are increasingly applied to more complex and specialized domains, the demands for data have risen significantly.

Informatica's latest CDO Insights 2024 report indicates that data quality is the biggest barrier to implementing generative AI. The survey shows that 45% of companies have already implemented generative AI, while 53% plan to do so. The report highlights that data quality, data privacy, and AI ethics are major concerns for businesses when implementing generative AI. The use of data management tools also impacts generative AI projects, and attention to data quality is key to successful implementation.

ChatGPT has been publicly released for nearly a year, with 100 million users and a surge in application raising a series of issues. Its widespread use in enterprise environments emphasizes the importance of data quality, particularly data that is relevant, accurate, and timely to the company. Key aspects of addressing data quality issues include consistent business context, timely updates, and completeness of data. The concept of responsible AI is gradually taking the lead, stressing fair, inclusive, safe, transparent, accountable, and ethical intentions.