UNDAMENTAL

From BIG DATA to RICH DATA

01 —Big data is precognitized. By humans, for humans.

02 —We capture the world and flatten it to make it legible to us. Storage and compute used to be scarce. A number could be signed off; a field could not.

03 —This has been instrumental in building the advanced systems our world rests on.

04 —Data is all the rage, and the way it is still being conceived belongs to yesterday.

05 —Flattened big data is low in information and low in complexity.

06 —Machine intelligence is exceptional at reading complex and varied kinds of noise.

Why is noise interesting?

07 —Because the label betrays us. Noise is the admission of our inability to understand a signal we have already perceived.

08 —Machine learning already reads biological age from a photograph of a retina. It can be made to hear bearing failure weeks before a human ear. It finds protein structure that took crystallographers decades.

09 —Technology has changed. Reality hasn't moved an inch. It still gives off the same rich, analog, continuous streams of signal — signal we were never equipped to read.

10 —UNDAMENTAL's rich data approach strives to be uncognitized, deliberate, multi-layered, information-maximizing. Legible to the machine intelligence of today and tomorrow.

11 —Noise is inherently complex. It contains multitudes, and so it contains both our current needs and our future ones.

12 —Immediate ROI. Future moat.

13 —The Romans could not have guessed what we would want from them. Neither could the scholars of the 1800s. Neither could the best engineers of the last decade.

14 —For the first time, we can capture the data of future needs — and do it confidently, in ways that pay now.

15 —Within the decade, your own AI systems will be working through your proprietary data banks: finding patterns, building predictive algorithms, surfacing hidden risks, uncovering opportunities, opening entirely new services and directions for the business.

16 —You can let that happen on flat, impoverished data. You can choose for it to happen on flat impoverished data that will run dry within a year or two. Or you can collect Rich Data, layered with complex fractal streams of information that will last you decades.

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