There’s a lot of talk about “roaring into the 20s” and much of that discussion is about technology. We are on the precipice of technological advances that no one would likely have imagined in the 1920s. Behind all of these advances is a need for modern data storage solutions, including object-based storage technologies. Here’s a look at 5 areas of technology poised to make huge steps over the next decade.
Digital Streaming of Content
Silent movies were all the rage in the 1920s, with the genius of iconic writer/director/actor Charlie Chaplin and the talents of Lillian Gish, Great Garbo, Douglas Fairbanks and a host of others. In the 2020s, the entertainment industry has advanced not just to having sound, but using virtual reality (VR), computer-generated imagery (CGI), and a host of post-production tools that are used to create entirely alternate realities. And, of course, behind all Media & Entertainment as well as other digital video workflows, there is a tremendous need for massive storage that can manage unstructured data.
One of the primary use cases that Caringo Swarm Storage supports is the creation of an active archive layer for video. This is valuable not only for those who need to stream content to subscribers, but to content creators and all others who must store video (broadcasters, post-production houses, professional sports teams, houses of worship, educational and government institutions and the list goes on and on).
In the 1920s, those lucky enough to have a car were generally driving a Ford Model T—the first mass-produced automobile. Flash forward to 2020, and the selection of automobiles is almost endless. Driver-assist technology is now available in cars at almost every price point, no longer just to luxury-class car buyers.
The US National Highway Traffic Safety Administration (NHTSA) site has an interesting article that discusses many aspects of Automated Driving Systems (ADS) including the six levels of technology in this journey as defined by The Society of Automotive Engineers (SAE). These levels are:
- 0: No Automation
- 1: Driver Assistance
- 2: Partial Automation
- 3: Conditional
- 4: High
- 5: Full
It’s no secret that this technology is well on its way, and automobile manufacturers from Ford to Tesla have already designed and are testing autonomous vehicles. By collecting and analyzing data of the self-driving cars that are already in use, they will be able to design these cars to be more reliable and safer than those driven by humans.
Eighty years ago, Henry Ford predicted:
Mark my word: a combination airplane and motorcar is coming. You may smile, but it will come.
With the current state of automotive technology, will Ford’s prediction come true by the end of this decade? Only time will tell.
Few concepts have captured the imagination of science fiction writers and fans, technologists and trendsetters like artificial intelligence (AI). The Oxford Dictionary defines AI as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
In The AI-Enabled Future, analyst Ron Schmelzer says that there are four main aspects in which AI will impact our future lives: the way we work, the way we live, the way we experience the world and our interactions with each other, and the relationship we have with data.
Space Flight & Data Gathering
It would be an overstatement to claim that we have conquered space travel. In fact, space flight has suffered some setbacks over the past few decades. However, governments and space agencies around the world continue to prioritize space flight and exploration. There is a growing commercial interest in this arena from companies such as Boeing and SpaceX that want to work on the technology of space travel. There is also an increasing number of companies that want to take advantage of using satellites to collect data.
In a recent NASA press release, there is a detailed summary of the current state of the US space agency’s recent accomplishments and future plans.
Scientific research has long relied on data collection and analysis for discovery. Storage technology and cloud computing are tremendous tools for these scientists, and new capabilities continue to empower every field of research. For example, think about the first real picture of a supermassive black hole. It took approximately 3.5 PBs of data to generate the picture from the total 5PBs collected.
Much research data is unstructured and organizations are looking for storage systems that are cost-effective but that also provide the ability to store massive amounts of data and to use custom metadata for increased searchability.
For example, in the UK, the STFC supports research from monitoring volcanoes and earthquakes to crop yield analysis, wildlife and insect migratory patterns. Their JASMIN facility is a “super-data-cluster” that delivers infrastructure for data analysis and is giving mankind unrivaled insight into our natural world. STFC chose Caringo Swarm object-based storage software to streamline management and data access as it was the only system that met their performance criteria in benchmark testing of leading solutions.
How Object Storage Can Help You in the Roaring 20s!
As we head into the second decade of the millennia, the evolution of technology is accelerating and object storage is a foundational component. Object storage is a flexible, highly scalable data storage platform that brings benefits such as cost effectiveness, built-in data protection and searchability that suits a wide variety of use cases.
Join Adrian “AJ” Herrera as he hosts the inaugural episode of Caringo’s new Brews & Bytes webcast on January 30, 2020 at 1pm PT/4pm ET. As his guests, he will have Caringo CEO Tony Barbagallo and our VP Sales Ben Canter. They will discuss where storage is headed in the coming decade and how you and your organization can prepare for the roaring 20s!
So, grab your favorite brew and check it out!