Is a Lengthy Iterative Data Visualization Design Process Relevant in the Era of Generative AI?

The article discusses whether or not the traditional lengthy, iterative data visualization design process is still relevant in the era of generative AI. While data visualization and design are crucial skills for effectively communicating insights from data, creating engaging and informative visuals can be a time-consuming process that involves multiple iterations of data.

However, with advancements in generative AI, the article explores whether or not this time-consuming process is still necessary. It delves into the advantages and limitations of using generative AI for data visualization and attempts to answer whether or not it can replace the traditional design process.

Overall, the article poses an interesting question about the future of data visualization and design processes, and explores the role that generative AI could play in the evolution of these fields. The post originally appeared on DataVeld.