I recently had the opportunity to interview Nima Negahban, co-founder and CEO of Kinetica, leading up to the release of their new offering — the first analytics database to integrate with ChatGPT. I learned a lot about how generative AI is opening data to everyone in the enterprise.

The world of analytics has drastically changed over the past few years, and with it, the technology used to create and transform information into actionable insights. One such technological advancement is conversational query languages, which allow IT professionals like yourself to quickly obtain results from an analytic database without having to learn complicated coding syntax — a daunting task for even the most experienced developers. In this blog post, we’ll explore what conversational queries are, their benefits and advantages compared to traditional SQL commands, and how they can help improve your data analysis capabilities.

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