Why Your Business Should Treat Your Edge Data Like Capital
Data is one of the most powerful resources available to your organization, a resource that can seem both endless and underutilized.
It seems endless because it’s everywhere and growing exponentially, as industries like finance, telecommunications, pharmaceuticals, healthcare, and manufacturing collect more data from over sources. And it seems underutilized because organizations collect far more of it than they can turn into new strategies to innovate, compete and grow.
And the pressure is only mounting, with the proliferation of edge computing: all cameras, sensors and other Internet of Things (IoT) tools powered by artificial intelligence (AI) and machine learning ( ML) that document remote activity where and when it occurs.
State-of-the-art computing generates a deluge of data, and without the infrastructure and culture to manage it, or an organizational culture that embraces it, that incoming data can turn into wasted capital.
This conflict is at the heart of a “data paradox”. Many organizations say they need more data than they can get, but they are already collecting more than they can process and analyze. While 64% of people polled in a recent Forrester study, commissioned by Dell Technologies, see data as “the lifeblood of their organization,” only 23% said they treat data as capital and prioritized their use across the enterprise. And 87% of organizations are neglecting their data technology and processes, their data culture and skills, or both.
Your capital, your risks
What are the risks of squandering this capital?
Organizations running on a legacy infrastructure that lock their data in silos prevent their workforce from sharing information across practices and leveraging it for integrated insights that could improve their real-time understanding of their audiences and support their customer experience (CX ).
Legacy operations can also leave an organization vulnerable to unnecessary storage costs, data loss or theft, and reputation damage. And even beyond the unpredictable, any routine maintenance and scheduled inspections that take infrastructure offline results in costly downtime.
Reduction of “dwell time” with data
With 28% of American products now transported by rail, keeping trains moving is essential.
One of the primary metrics that railways operate with is “speed”: total travel time (hours) divided by total distance traveled (miles). When cars are in motion and operational, railways can maximize and increase capacity, increase equipment availability, shorten cycle times, and increase on-time performance. But the total travel time also includes any “dwell time”, that is, the hours a train is not moving.
Rail freight industry leaders improve their performance by working with Duos Technologies (Nasdaq: DUOT), which provides turnkey technology solutions to automatically inspect rail cars in transit and includes AI-enabled edge servers for Capture images, model data, and manage on-site analysis and reporting, all while trains continue to run at speeds of up to 90 mph.
In strategic locations along 140,000 miles of railroad tracks across North America, Duos’ network of independent sensor inspection portals run on state-of-the-art computer processors, data servers, storage and networks that collect, process and analyze images and data sets of railcar faults. Each location can generate up to 30TB of data per day.
By streamlining the previously labor-intensive manual car inspection process, this technology dramatically reduces a car’s stopping and “dwell” time, which increases train speed.
Beyond converting this wealth of data into powerful capital for analysis and efficiency, the AI-powered automated edge computing solution can increase employee safety and security.
Duos state-of-the-art computer portals can automatically detect problems at track speed. Using remote server management tools, Duos can access system logs and event notifications to monitor tracking trends, hardware failures, and input / system and firmware updates. basic output (BIOS) to rebuild a server remotely, saving $ 3,000 per instance.
Duos is also applying this advanced computer technology to other transportation industries (trucking and intermodal) and mass transit railways across North America.
Put data to work
Even organizations outside of the freight industry can see that valuable information no longer comes exclusively from data centers and the public cloud. Increasingly, they also come from the periphery, where data is generated.
Supporting your edge infrastructure with the optimal suite of compute, storage, and analytics solutions can help your organization gain real-time, in-place insights and uncover hidden growth opportunities.
As abundant as your organization’s data at the edge may seem, and however you manage without getting the most out of it, a suite of edge computing solutions can help you turn your data into invaluable capital. Your edge data is an asset that could help you grow your business. Don’t let it get lost.
Learn more about Dell solutions that can help your organization make the most of your edge data.