Data quality key to good AI-generated content
1 month ago

Data quality key to good AI-generated content

China Daily  

Figurines with computers and smartphones are seen in front of the words "Artificial Intelligence AI" in this illustration taken, Feb 19, 2024. Furthermore, Deloitte's 2024 report highlighted that over 50 percent of organizations reported facing significant challenges with data quality in their ESG reporting, which can impact the reliability of data used in decision-making, and potentially contribute to issues like misinformation and the spread of fake news. For this reason, it is crucial for both companies and regulators to verify data outcomes with precision, ensuring that all the data fueling AIGC systems are of the highest quality. By establishing robust data standards, investing in infrastructure, promoting a data-driven culture, and fostering industry-academia collaboration, China can ensure that AIGC technologies are built on solid, reliable data. As China continues to develop AIGC, the pursuit for high-quality data will be a defining factor in shaping the future of the digital economy and society.

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Data Quality Assurance: Integrating Traditional Approaches With AI Innovations
1 month, 3 weeks ago

Data Quality Assurance: Integrating Traditional Approaches With AI Innovations

Deccan Chronicle  

In today’s data-driven world, data quality assurance is essential for organizations aiming to make informed decisions. By integrating AI with traditional DQA methods, organizations can achieve a more effective, adaptive approach to data quality management. AI Innovations in Data Quality Assurance AI introduces machine learning, pattern recognition, and predictive analytics to DQA, enhancing traditional processes. Improved Accuracy and Consistency: AI’s …

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