GPU vs CPU Admittedly, discussing the differences between CPUs and GPUs is a rather elementary concept for technologists, but it’s an important exercise that helps us better understand what drives […]
When people hear the word “analytics,” they tend to get nervous—especially when it’s coupled with other words like “algorithm,” “GPU,” and “deep learning.” And they automatically think that the subject […]
Previously, we discussed the three fundamental branches of analytics as well as how each one successively breaks data down into more manageable pieces. In today’s installment, let’s continue the data […]
Housing untapped, raw data does little but expend additional storage and security resources. But, at the same time, accessing that data for active use is hard. Because of this, many […]
As we mentioned before, there are seemingly limitless ways that Big Data can augment our realities, and we believe that it is important for you to understand how these analytics […]
The Latest Innovations and Controversies of Machine Learning Up until the 1950’s, computers needed incredibly detailed commands, in highly-specific languages, to accomplish even the simplest of tasks. By 1959, Arthur […]
Today, we return to our ongoing analytics conversation. If you are new to the discussion and want to get caught up, consider revisiting our posts on the three fundamental levels […]
“The majority of companies don’t realize that they can answer many of their business questions with the data that they already have. It’s just a question of being able to access it.” — TSA Enterprise Solutions Architect, Corey Gary
In a previous blog post, we discussed the three basic levels of analytics—descriptive, predictive, and prescriptive—and explained how this technology is architected to break down massive amounts of raw data into more manageable, actionable chunks. With modern business data analytics, researchers and technologists no longer have to “drink from the fire hose” of raw data.
However, it is important to establish that analytics is not simply a “wind-up-and-let-it-go” apparatus; it requires more resources than its current IT buzzword-status may have you believe. As a result, many companies are underutilizing the data at their disposal.
We live in the Digital Age. An age where you can’t do a quick Google search for “cheap flights to Utah” without ads for Kayak.com or Zion National Park popping […]
The birthplace of analytics was not, in fact, in a techie’s basement in Silicon Valley or in some state of the art computer lab; rather, analytics first made its debut […]