[Originally posted in May 2013 – We’re finding this article content is as viable today as it was then, so we’re re-posting]
The I in Information Technology is so very broad. Given, why is our first integrated data science problem focus on spatial data? What is it first in our data areas: Geospatial. Open. Big. IoT. We get asked this a lot. Our reason, like Geospatial, is multi-dimensional. Our reason spans different ways of thinking, audiences, maturity, progressions, science, modeling, and time:
First, from a time perspective, we all know that technology is going way too fast – mostly following “Moore’s Law”. While this law has had people on edge – MIT declared in 2016 Moore’s Law was dead, then IBM noted in 2017, its back on. Nonetheless this rapid doubling – 2,4,8,16,32,64,128,256,512,1024,2048, 5096, 10k,20k, and so on – in less than 20 years has seen 10,000-fold increase in computing and storage capability, with 90% of that increase in the last 10 years alone.