Data Protection and Archive Strategies at Your Fingertips
We had a great turn out last week to our VirtualQ I Protect & Archive event of online sessions where
Category: Unstructured Data
A Silver Lining of Innovation
It is been a long time coming. Two full days of sessions with our valued customers and those interested in
What’s Your Take on Video and Unstructured Data?
It’s the age-old challenge for IT organizations and professionals – how to best protect digital content and information to ensure
Why Density Matters in your Data Protection Strategy
Generally speaking, higher density is more desirable – any way you look at it. This is true because more data
Finding Balance without Sacrifice in the World of Storage Architecture
More than ever, our culture today seems to be a land of extreme viewpoints. You’re either a Liberal or Conservative,
Quantum Drives Autonomous Vehicle Infrastructure at CES
Quantum Drives Autonomous Vehicle Infrastructure at CES 2019
Self-Driving Cars—Driving Hyperscale in the Data Center
As companies accelerate their development efforts for self-driving cars and advanced driver assistance systems (ADAS), they are expanding the size of their vehicle test fleets. And with each vehicle generating 2 PB or more of data annually, these companies need a good data management plan to support this large and rapidly growing volume of data.
Data: The Lifeblood of Life Sciences Research
There’s no doubt that data plays a critical role in life sciences research today. I’m referring to digital data that is stored, transmitted, and analyzed on IT hardware. New research technologies are rapidly changing the discovery process, significantly increasing the volume of digital data and reducing cycle times. These advances in research are straining today’s IT infrastructure with changes in the lab happening so fast that the infrastructure must not only meet today’s needs, but also have flexibility for an uncertain tomorrow.
Self-Driving Cars—A Petabyte Here, a Petabyte There
Self-driving cars must navigate dynamic environments under variable conditions—night and day, summer and winter. To accomplish this task, each car uses multiple devices designed to identify specific object types (i.e., pedestrians, other vehicles, road signs, painted roadway markings, etc.) at specific distances and conditions.