Network technology is constantly changing, and as a result, people's lives and ways of doing business are changing. Consider Mobile Phones: As the news of fifth generation (5G) cellular networks spreads, US wireless technology companies are poised to spend more than $ 275 billion to tackle this innovation in telecommunications. Network technology is a major driver of economic growth and development, and the CTIA (formerly the Cellular Telecommunications Industry Association) forecasts economic growth of $ 500 billion as a result of network changes.
How will the network technology revolution affect the future job market? As companies and organizations increasingly rely on network technologies, entry level network engineer play a key role in maintaining, updating, and monitoring network activity. Not only that, network engineers are responsible for maintaining systems on individual servers, routers, computers, and even cables. As business and technology change, future network engineering must keep pace with changing network trends. Network engineers who understand the extent of these changes can remain competitive for employers in an evolving world.
The future of network engineering technology.
No one knows what network technology will look like in decades. However, the following trends should apply to all future network engineer radars.
- Predictive analytics
- Cloud networks
- Network automation
Predictive analytics and future network security.Predictive analysis is the use of historical data to determine the probability of future results. For example, banks often identify fraudulent activities based on abnormal purchasing patterns. In addition, ratings such as credit scores have been a measure of the probability of timely payments.
Tools like artificial intelligence (AI) and machine learning (ML) enable future network engineers to apply predictive analytics to address potential network performance issues. Companies like IBM, SAS, KNIME, and RapidMiner are enthusiastically adopting predictive analytics tools to optimize network efficiency. As network technology continues to improve, information technology (IT) professionals see predictive models that closely match actual results, making predictive analytics a valuable tool.
Network security can be significantly improved through predictive analytics. Traditionally, network security professionals have relied on the "signature". In other words, a fingerprint left by a hacker when trying to compromise your data. However, now that the signatures are outdated, predictive analytics can be used to monitor network security in real time across multiple networks. Future network security relies on complex solutions for increasingly complex problems.
Cloud networks
Hybrid cloud computing, which combines an on-site IT infrastructure with a public cloud architecture, is currently attracting the company's attention. The main reason is that the flexibility of the hybrid cloud allows customers to tailor the technology to their needs. Historically, companies have tried to keep data private on the site for security. However, with the growth of cloud networking technologies, companies are confidently downloading hybrid cloud computing systems. This allows you to use various public cloud resources such as blockchain, analytics, and machine learning. Engineers use these tools more frequently in design, planning, management, maintenance, and support tasks. IBM estimates the value of the hybrid cloud industry to be $ 1 trillion.
Network automation
Network automation promises to replace many of the simplest tasks that network engineers perform manually. By automating certain repeatable tasks, IT professionals can spend more time and energy on long-term projects, improving operational efficiency. Actions such as deploying software updates, security updates, determining optimal computation paths with path changes, and performing root cause analysis can be automated. In addition, the future integration of machine learning for these "smart grids" will further optimize efficiency and change the role of network engineers.
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