As businesses across Asia Pacific and Japan continue to digitally change their operations and implement revolutionary technologies such as machine learning and automation, these businesses have a growing responsibility to ensure that their IT infrastructure is both resilient and able to serve workloads that are distributed across a variety of platforms.
This is of the utmost importance in the region because manufacturing and other industries are looking to automate their processes in order to improve on-site safety, increase equipment uptime, and lower failure rates.
According to Forrester’s research, the adoption of cloud computing is being led by organisations in the manufacturing, construction, and utility industries, as well as other types of industrial businesses. This growth in the use of industrial digital platforms is expected to increase by thirty percent this year.1 In particular, the research organisation anticipates significant adoption among businesses in Australia, China, Japan, and South Korea, saying that firms will deploy digital platforms to link and analyse industrial data as well as create stronger consumer value. In addition, the firm expects that strong adoption will occur among businesses in South Korea.
According to Forrester’s research, a further 35% of companies in Asia Pacific would integrate physical robotics with their existing mainstream technology infrastructure in an effort to address the region’s chronic labour crisis. According to what it states, industries including the food and beverage industry, home delivery services, healthcare, and manufacturing would seek to utilise autonomous mobile robots and drones to support their service delivery and operations.
These transformational technologies can not only help a firm reduce the amount of time it takes to bring a product to market and improve the quality of the services it provides, but they can also assist in maintaining and improving operating efficiencies. Edge computing is becoming increasingly popular among businesses as a means to monitor and forecast the likelihood of prospective hardware breakdowns. This is accomplished by performing analysis on data that is transmitted to and from the cloud in order to simplify decision-making.
For example, manufacturers can use data sensors that have been installed on the premises to monitor potentially dangerous locations, reduce the hazards posed to employees, and verify that vital equipment are operating without a hitch. For businesses to be able to react speedily to crises, it is frequently necessary for data to be gathered and analysed in real time. In order to accomplish this, a strong IT infrastructure and a low network latency are required. A lag in the data can cause key alerts to be delayed, which can result in system failures that can have an effect on service delivery and erode the confidence of customers.
Workloads are becoming extremely decentralised and are no longer necessarily confined to or originating from data centres as a result of the widespread use of hybrid work practises combined with edge technology.
According to Andrew Underwood, the field chief technology officer for Dell Technologies in Asia Pacific and Japan, “data volumes have grown exponentially worldwide, including in Asia Pacific, with data sources increasingly varied.” “Information can be created on personal devices as well as devices connected to the internet of things, including consumer devices as well as industrial machines, which are interconnected in order to facilitate automation.”
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He continues by saying, “Therefore, the architectures of the next generation of technology need to be designed to support and accelerate these workloads, regardless of whether they are running on premises in data centres or at the edge on a rugged device.”
servers designed specifically for high-performance computing in edge locations
Servers, for one, should be constructed to match the main requirements for deployment at the edge. This is especially important around developing workloads that require high bandwidth and low latency closer to the data source. The goal of businesses is to generate value from the data they already possess by acting on it in a manner that is both quicker and more efficient. This will allow them to provide customers with improved services and a deeper level of engagement. Businesses that are able to do so will find greater levels of success in the coming fourth industrial age.
According to Underwood, “the digital era requires an IT foundation that is both optimised to support both core data centre and edge platforms and is suitable for its intended purpose.” “What this means for Dell Technologies is putting an emphasis on solutions that put data first and are customised for the specific environment of the customer. Customers are able to manage their workloads at scale, even when they are located outside of their data centers, thanks to Dell’s software-defined architecture, which also eliminates the complexity of running these environments.
Extreme conditions at the network’s edge can be stressful for both the electrical and physical components of an organisation’s information technology infrastructure. Factory floors, construction sites, mobile command centers, and other harsh environments are no match for the PowerEdge XR line of servers from Dell. These servers are designed to survive the severe heat, dust, shock, and vibration that are present in these situations. The data-first approach that is used in the design philosophy of the Dell PowerEdge XR family is what provides a platform for businesses to harness, analyze, and respond to data no matter where it lives. This can be done in a speedy, cost effective, and secure manner.
To be successful at the cutting edge, businesses will need to adopt a data-first mindset and determine the points of intersection between their digital and physical worlds. The family of servers known as Dell PowerEdge XR is the ideal foundation for unlocking data value wherever the success of company operations is dependent on it.
1 “APAC Predictions 2023: Technology,” published by Forrester on November 1, 2022, written by Dannu Mu https://www.forrester.com/blogs/apac-predictions-2023-technlogy/