Gartner released the 2019 Edge Computing Maturity Curve, revealing the status quo of the development and application of edge computing technologies in enterprises. Edge computing is an emerging computing architecture that pushes computing and data storage closer to users, improving application performance and data privacy.
According to Gartner's report, edge computing technology is still in the exploratory stage and has not yet been widely used. While the concept of edge computing has been around for years, it's only in the last few years that it's really started to be used in the enterprise. However, with the popularity of the Internet of Things and smart devices, the application prospects of edge computing will become broader.
In the edge computing maturity curve, Gartner divides edge computing technology into three stages: fantasy period, expectation period and disappointment period. At present, edge computing technology is in the expectation stage, which means that people have high expectations for edge computing technology, but in fact it has not yet achieved the expected effect.
Gartner believes that if edge computing technology is to be widely used in enterprises, the following problems need to be solved:
Security and data privacy issues: Edge computing technology pushes data storage and computing closer to users, which increases the risk of data security and privacy. Therefore, corresponding security measures need to be taken to protect data security and privacy.
Integration and interoperability: Edge computing technology needs to be integrated with an enterprise's existing systems and needs to have good interoperability to run on different devices and platforms.
Reliability and availability: Edge computing technology needs to have a high degree of reliability and availability to meet the business needs of enterprises.
Cost and ROI: Edge computing technologies are costly and require time and resources to deploy and maintain. Therefore, enterprises need to evaluate the return on investment of edge computing technology to ensure that their investment is worthwhile.
In addition to the above problems, Gartner also pointed out that edge computing technology needs to be further developed and improved in order to better meet the needs of enterprises. For example, edge computing technology needs to better support real-time data processing and analysis to meet the needs of applications such as the Internet of Things. In addition, edge computing technology also needs to better support the application of emerging technologies such as artificial intelligence and machine learning.
In conclusion, edge computing technology is a technology with great potential that will bring better application performance and data privacy to enterprises. However, to be successful on the edge computing maturity curve, enterprises need to solve related problems and continuously improve edge computing technology.
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