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events influencing cutting-edge computing in 2020

 3 events influencing cutting-edge computing in 2020

While cutting-edge computing will continue to proliferate across all industries in 2020, growth challenges will continue to emerge as organizations learn what types of implementations can achieve the best results and how to leverage data to drive digital transformation. For me, I see three areas where we will see greater clarity and confidence in high-end computing.

Security at the edge

For a while, people worried about safety at the edge. At Stratus, we make sure you can't use the same security technology you use in the data center and apply it to the perimeter. The main difference is in the large number of connected devices, and each one represents a potential vulnerability.

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By 2020, end-user security requirements will become more specific due to the work of industry consortia or end users defining specific requirements. Security criteria are likely to vary widely from industry to industry: for example, finance companies have different cutting-edge computing needs and goals than wastewater treatment plants. Companies must create security controls based on what data is collected, where it is used​​and who needs access to it. For example, a peripheral device might not need a persistent cloud connection and might be configured to initiate a connection only when certain data needs to be transferred.

IT and OT

Another ongoing discussion of peripherals focuses on how IT and OT teams interact with each other and who is responsible for the various aspects of edge deployments. I believe that in 2020, IT and OT will begin to collaborate more effectively as they gain a better understanding of each team member's role and clarify the paths from swimming to cutting-edge computing. As responsibilities become clearer, the organization as a whole adapts to both structure and budget support. There are many benefits to this techniques, including improving the customer experience through predictive analytics.

OEM manufacturers

Finally, I believe OEMs will add more intelligence to their machines, given the lack of highly trained technicians in the field. It's amazing to see the level of interest from people who build very intelligent machines. They will add features like predictive maintenance, resilience and increased autonomy.

Machines will make better use of the data they exchange with software solutions such as handling complex events. This will reduce the need for supervisory intervention and will be the first step in further adapting machine processes. And it drives the full cycle of these smart machines, helping with what I mentioned earlier about IT and OT and how they work together, integrating technology into one machine, reducing complexity but producing data that affects business results.