With state-of-the-art computing, operational technology (OT)
teams can provide mission-critical data processing at the edge of the network
rather than in the cloud or through a centralized data warehouse. This
real-time data processing can dramatically improve the way many of these
organizations do business and thus provide many powerful new benefits.
To fully understand how high-end computing came about and
what opportunities it opens up, let's take a closer look at the factors that
are pushing high-end computing into the mainstream.
Internet of Things (IoT). Analyst estimate that by 2020,
more than 5.6 billion IoT devices owned and operated in corporate and
government environments will use cutting-edge computing to collect data. This
represents a significant increase with over 1.6 billion devices in 2017. [1]
Why is high-end computing emerging as a better alternative
to IoT environments? While most information is uploaded and processed through
the cloud, some business-critical applications require real-time data. This
requires the use of physical or virtual computing infrastructure at the edge of
the network to minimize the bandwidth required to access centrally stored data.
Real-time business solutions. As the Internet of Things
becomes more prevalent, more and more industries are using this technology to
use real-time data to make better decisions. The impact of the Internet of
Thing is well documented in sectors such as retail and healthcare. But today,
what was once new technology is now helping to revolutionize industries that
need innovation, such as manufacturing, transportation, energy, food and
beverage, and waste management. Smart Pill
In manufacturing, many people use IoT sensors to collect
data on the shop floor and analyze it to perform preventive maintenance and
optimize machine performance. Every IoT device - from robotic arm, HVAC units,
mounting systems or any intelligent device - collects data for processing and
analysis. Edge computing can process data instantly and equip manufacturers
with information so they can make faster, more informed decisions that
streamline the supply chain, streamline production and reduce costs.
Improved security and compliance. IT teams are sensitive to
the risks of transferring data between devices and the cloud. Edge computing
reduces risk by preventing the transfer of most data in some environments. With
state-of-the-art computing, you can filter sensitive information locally and
only send data relevant to model building to the cloud.
This means that companies can create an appropriate security
and compliance framework that meets their needs and ensures that audits are
met.
Eliminating modernization gaps. The Internet of Things and
cutting-edge computing are driving the next wave of data center modernization
and improvement. Virtualization is an affordable way to upgrade and innovate in
IT environments and meet urgent needs with cutting-edge technology, while our
money goes beyond. What's more, cutting-edge computing allows companies to
leverage modern devices without compromising existing legacy systems.
This is because peripheral computing devices can be used as
a communication bridge between legacy systems and modern machines. This allows
legacy industrial environments to connect to modern IoT devices or solutions
and provides the immediate benefits of real-time data collection and
integration from legacy systems and modern devices to make better decisions.