When developing complex digital plans to achieve successful
IoT initiatives and design control systems, convergence of OT and IT procedures
is essential. However, without a stage that is easy to maintain, use, and
eliminate downtime, this meeting can create unforeseen difficulties. To align
OT and IT procedures and reduce the risks of more efficient industrial computer
designs, there are several factors to consider for cloud computing and advanced
computing.
1. Clear business cases and goals
When moving to a digitalization or artificial intelligence
strategy, defining clear goals and business cases will help ensure you get the
right value for your efforts. Think about what success will mean - especially
in your organization.
2. IT / OT collaboration
A successful digitization strategy requires convergence of
OT and IT in the form of a hybrid OT or industrial IT function - a technologist
with experience and knowledge of OT applications who also understands the IT
language and has a set of IT skills. ...
3. Modern computer infrastructure.
Consider the following before upgrading platforms:
Tolerance for Downtime - What is the impact on performance
in the event of unplanned downtime?
Hardware / Application Protection Needed - Can you detect
application crashes in a timely manner?
Importance of data - what is it used for? Is it very
important or required for real-time analytics? What will data loss mean for
your business?
Seamless migration - how difficult would it be to migrate
data to another system?
Special skillsets required - should extensive (and costly)
training be considered?
Future-proof solutions - will the system support new
applications and IIoT? Shelf life 5-7 + years?
4. Applicability of cloud and edge technologies.
There are also operations in which Raspberry Pi computers
(small and inexpensive) help upload data to the cloud. While this works,
security risks and high costs are undesirable factors. State-of-the-art
technology is closer to the shop floor and provides quick feedback for making
appropriate adjustments during projects. Edge computing enables preprocessing,
allowing only the data you need to be sent to the cloud and keeping sensitive
data close to the network.
5. Pilot program for large-scale implementation
Pilot programs can have dissimilar levels of difficulty
depending on the use case. In each use case, factors such as scalability,
flexibility, control and upfront investment and bandwidth costs need to be
considered to drive full deployment.
techdirtblog slashdotblog justhealthguide healthandblog supercomputerworld
