Data is like radioactive materials, holding potential for innovation but also risks. Negligent data handling can lead to severe harm, akin to mishandling radioactive substances.
Shift from Big Data era to quality-focused data acquisition emphasizes the importance of targeted data for specific use cases over vast quantities of information.
Generative AI's emergence has broadened the data landscape, including articles and videos. While this opens new possibilities, it also introduces complexities and risks for AI projects.
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