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Columns is a data visualization and collaboration platform that uses AI technology to create visually stunning and informative pieces with fine-grained access controls and GPT-3 integration. It offers a variety of pre-built templates and tools, as well as integrations with other popular tools like Slack and GitHub to enable smooth collaboration across different teams.

Description

Columns is a state-of-the-art data visualization and collaboration platform that incorporates the latest advancements in AI technology to enable teams to work seamlessly together in real-time. With Columns, users have the ability to create visually stunning pieces that are both informative and easy to understand, all through the use of natural language and speech inputs.

One key aspect that sets Columns apart from other data visualization tools is its fine-grained access controls, which provide users with comprehensive oversight over their data catalog while allowing them to easily collaborate with others. Additionally, the platform’s GPT-3 integration allows users to interact with advanced AI chatbots, making it easy to query and visualize data on the fly.

Columns also offers a wide range of pre-built templates and tools, including bar charts, line charts, scatter plots, and other visualization options, as well as an extensive library of icons, images, and shapes that can be used to enhance data stories. Furthermore, integrations with other popular tools like Slack and GitHub enable smooth collaboration across different teams.

In short, Columns is a powerhouse tool that can help businesses unlock the true potential of their data. With its intuitive interface and advanced AI technology, it’s never been easier to create informative and engaging visualizations that tell a story. Whether you’re looking to self-serve data storytelling with fine-grained access controls, query and visualize data with GPT-3 integration, or collaborate and share insights across different teams, Columns is the ideal solution for your data visualization needs.

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