Power Of Edge Computing In Digital Transformation
Edge Computing in defining a Next-Gen transformation for organizations and revolutionizing technological growth, forms the core of Digitalization. Sectors varying from Finance to Health, Telecommunication, Gaming and Services, modern technology with advanced AI and ML is made possible to operate with such edge computing, on a real-time basis.
Edge Computing unravels the power of a distributed computing framework in collating the resources with close proximity to data, delivering fast response time with better bandwidth availability. Cloud Network Computing has been of major importance to enterprises as the availability of a centralized server allows data access from anywhere contributing to the enhancements of AI and ML. However, edge computing enlarges the capabilities of Artificial Intelligence as it reduces the interference time to access data.
The Edge AI market is forecasted to grow from $355 million in 2018 to $1.15 billion by 2023, at 27% annually.
Importance of Edge Computing
In today's ever developing world of technology, COVID pandemic has striken the most sensitive area of the organizations wherein digital tools were just a matter of adoption in few cases. With the emergence of utmost importance to transform with cloud technologies, AI and ML has revolutionized various sectors with automated digital services.
Data Access Proximity
Cloud servers are kept centralized with loads of data to be accessed from any corners of the world. However, with the need of real-time response in collecting and processing such data, the need of edge computing validates with ample computation power for low-latency interaction. Close proximity to the data serves a major catalyst in transforming the future of cloud computing into an effective and efficient performance metrics for organizations.
As per Gartner's Research report on the importance of Edge Computing,
91% of today's data is created and processed in centralized data centers. By 2022 about 75% of all data will need analysis and action at the edge.
IoT Performance
Internet of Things (IoT) is the next-gen revolution which constitutes real-time and smart interaction in operating the inter-connected devices. Smart application controls features IoT to accomplish various tasks with mobile connectivity and fast response from the servers. It is only through the introduction of Edge Computing, IoT depoys reliability of facilities and connectivity ensuring security and monitoring.
The arrival of 5G services, featuring a major breakthrough in Network Slicing models, edge computing forms the core to such innovation. Low Latency, higher bandwidth, and fast speeds enables connected devices to deliver a better real-time experience with anvancements to Artificial Intelligence and Machine Learning. Unsupervised and Supervised Training forming the core of AI, masters with reliability of storage and response offered by Edge Computing data proximity.
As per the latest report by Deloitte on the significance of IoT in modernizing sectors,
IoT, AI, cloud, and big data/analytics are the 'big four technologies' that could provide the bedrock to connect organisations, generate data, and drive more intelligent operations.
Data Security
Data Security enables uninterrupted flow of data by maintaining privacy and encryption. Ensuring data proximity in local cloud networks, Edge Computing aims in rising expectations for an efficient control over data. As years advances towards automation and enhancements to technology, amounts of data monitored, recorded and analyzed with network traffic is constantly growing to hit 20.6 zettabytes (ZB) by the end of 2021, which is more than three times the 6.8 zettabytes (ZB) of traffic created in 2016.
Accessing and processing such huge amounts of data serves to higher latency with normal cloud network facilities connected to the internet. Edge computing with data proximity resolves the issue of latency for real-time interaction and thereby posing a challenge for hackers. However, such can be even more dangerous in cases of devices lost or an unauthorized access to devices empowered with edge computing, which may further lead to vast privacy breach.
As per the studies on the worldwide adoption of edge computing and storage market for the period: 2019 - 2023, by IDC research director for Infrastructure Systems, Platforms, and Technologies, Kuba Stolarski,
With enhanced interconnectivity enabling improved edge access to more core applications, and with new IoT and industry-specific business use cases, edge infrastructure is poised to be one of the main growth engines in the server and storage market for the next decade and beyond.