Video technology is evolving at lightning speed. Now that high definition is ubiquitous, there’s an ever-growing demand for the high picture quality and smooth motion associated with 4K ultra-high-definition (UHD) video formats. An increasing number of production houses have made the switch to 4K workflows—and if your team isn’t already working in 4K, it’s only a matter of time before it’s part of your portfolio.
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.
The latest international cyberattack struck overnight affecting large European companies, such as Russian oil conglomerate Rosneft, pharmaceutical company Merck, and Danish shipping company Maersk. This latest version of ransomware is similar to the WannaCry attacks which occurred just last month and affected tens of thousands of machines.
Whether you’re creating customer-facing product videos for your marketing team or training videos for sales, your in-house video production team needs to deliver high-quality media that maximizes the viewers’ interest and engagement. For now, you might be delivering that video in high-definition (HD) or even standard-definition (SD) format. But you can see the future—and the future is 4K.
Visual effects (VFX) and post-production studios are facing rapidly rising demand for compelling visual content. To boost audience excitement and heighten engagement, directors and producers are incorporating an increasing number of VFX shots into their projects. Meanwhile, consumer interest in more immersive experiences are opening doors for VFX and post-production studios to investigate virtual reality (VR), augmented reality (AR), 360-degree video, and other innovative technologies.
May and June have been an active time for Quantum’s technical workflow solutions team as we wind down from the Bio-IT World Conference in Boston and prepare for the ISC high-performance computing (HPC) show coming up later this month in Frankfurt.
More and more universities are assembling on-campus video production teams to meet rising demand for video content. From admissions offices and alumni associations to research teams and campus security, an array of departments are working with video production teams to create professional-quality media and manage content meant to promote the university, advance research, and help protect people and property.
I’ve dabbled in my fair share of do-it-yourself (DIY) projects, but I’m far from a self-proclaimed “crafty” person. I may not be crafty, but Comcast’s NBCUniversal was when it acquired Craftsy, a Denver-based how-to website for crafters. Not surprising since the crafts retail market is somewhere around the $30 to $40 billion mark. In the six years since the start of Craftsy, it has raised more than $103 million in venture capital and has become a premier meeting place for thousands of creative pros and millions of “makers.” Craftsy has produced more than 1,200 video classes on topics ranging from sewing and baking to photography and jewelry making.
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.
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.