This post highlights 12 of the best color palettes for data visualization that can improve your maps, charts, and stories, when each of the palette types should be applied, and how to add them to your dashboards.

While ABI is a powerful methodology for discovering hidden patterns and resolving unknowns, traditional tools struggle with the massive data volumes and complexity inherent in modern intelligence challenges. HEAVY.AI is presented as a solution specifically designed to address these limitations and enhance ABI workflows.

HEAVY.AI’s customers have long appreciated the power of a GPU native platform that supports interactive analytics for large-scale data. With the Grace Hopper superchip, the economics have fundamentally changed. Now, even larger data sets can be explored, exposing deeper insights.

From the very beginning, the HEAVY.AI platform was built as a vertically integrated platform designed to allow fully interactive visual exploration of massive multi-billion row datasets, without needing to index, downsample, or pre-aggregate the data. This required the development of a built-in capability to zero-copy render large datasets using the GPU, as well as a web-based visual analytics frontend, HeavyImmerse, that would allow users to effortlessly slice-and-dice data with a few clicks and drags of their mouse.

We’ve been hard at work over the last year to bring native conversational AI capabilities to the HEAVY.AI platform as part of our HeavyIQ module, primarily focused to date on using locally hosted, custom trained LLMs to allow users to generate queries and visualizations with natural language.

Utilize HEAVY.AI and HeavyIQ to query 35 years of BTS & FAA flight data as well as 10 days of ADS-B data.

HeavyIQ leverages a custom-trained Large Language Model (LLM) to allow users to ask questions of their data using natural language and get back SQL, visualizations, and summaries.

A groundbreaking solution that is transforming emergency preparedness for local government officials and organizations across the United States.