Quantum Blog

It’s 2020—Why Aren’t You Mining Metadata?

Looking back three years at the 2017 NAB Show, one of the notable new technology trends was the influx of artificial intelligence (AI) applications and services. Perhaps the word “appeared” is understating what happened—IBM showed up with a 12-foot diameter, supercomputer-esque display of Watson and the AI services that it (or he?) provided. Microsoft and Quantum also devoted show space to this new AI technology. The takeaway was that there were AI engines—learning machines—brains—that were hungry for video content. Few knew what the implications were at the time.

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.

Top Awards for Video Surveillance Storage Go to StorNext

Quantum hit the jackpot at the ISC West 2017 conference in Las Vegas this year, coming away with two coveted security industry awards for video surveillance data storage. StorNext® data management software won top honors from the Security Industry Association (SIA) as category winner in the New Product Showcase (NPS). In addition, StorNext also received the Platinum Govies Government Security award given by Security Today magazine.

Making Smart Storage Decisions to Get the Most out of Video Surveillance Data

Today, video surveillance cameras are commonplace, and transportation agencies and businesses are benefiting from advanced technologies that are now widely available. Detailed images can be produced, with more activity captured by multi-sensor HD cameras, and facial recognition applications can also be used to identify criminal suspects. But, analytics are no longer just limited to security applications.

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.