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 […]
Previously, we discussed some of the pros and cons posed by machine learning. While “self-learning” computers have become the future of autonomous tech, R&D teams are still working to iron […]
Inflexible architectures prevent you from having the power and scalability to thrive in ever-expanding conditions. With limited mobility, customization, and agility to speak of, modern businesses are searching for a […]
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 […]
We are proud to announce that, for the second year in a row, we have been named to the 2018 CRN1 Solution Provider 500 list (SP500)! Since 1995, the SP500 […]
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.
TSA friends and family spent the day at FarmLinks Golf Course outside Birmingham, AL for our annual Spring Charity Golf Tournament. This year proceeds directly benefited Big Oak Ranch and Goshen Valley Boys Ranch.
We’re excited to be named the North American Partner of the Year and the HPE Server Partner of the Year by Arrow Electronics, Inc. This award recognizes our outstanding sales […]