No 3d/vr/etc unfortunately, we never saw commercial demand in our segments, just looking at bigger datasets and increasingly 'wide' / high-dimensional/scattered/heterogeneous data using accelerated viz & AI, and now text2code
And yes, we currently get used by data scientists and devs on problems like supply chain analysis, misinformation, cybersecurity, human trafficking. Seeing 100x+ more data than d3 and having a full env there makes analyst investigations easier. Our original GPU client <> GPU cloud tech helped lead to what is now Apache Arrow (we contributed the JS tier as part of the GPU Open Analytics Initiative) and Nvidia RAPIDS (we wrote the precursor in nodejs/opencl, and worked with Nvidia to restart for pydata), and are now focusing on the Nvidia Morpheus & graph AI sides for end-to-end GPU pipelines with our bigger customers (cyber, ...).
More recently, to make this kind of tech easier for analysts who are traditionally stuck with Splunk/Kibana/etc style UIs for investigations, we have been launching louie.ai (genAI-first notebooks) with various customers
Hopefully now it makes sense why we don't go far with candidates who can't have conversations on these things, such as how they are built, how they get used, and where they are going . It is ok-but-not-great on conv 1, but weird by conv 2. And as a CEO, far from what I look for in someone in a senior/leader role who is supposed to be looking ahead.
