Users and enterprise devices often need technical support that was normally provided in the office. As remote work continues to become a standard approach, many companies are adopting AI solutions to assist with customer experience (CX) and support requirements of the network.

“More help is needed in managing this critical infrastructure, which is why AI has become a necessity for network management,” said Friday with Mist. “Enterprises and technology providers have already adopted AI assistants in their networking support teams. Cloud AI has enabled a new tech support model, one that has created the volume and quality of data necessary to train AI technologies. [1]

Figure 1. Networking with remote AI support

Networking with remote AI support is shown in figure 1. Networking with remote AI support can be a powerful way to improve productivity, efficiency, and innovation in a variety of industries. With remote AI support, businesses and organizations can access specialized expertise and advanced technologies that may not be available in-house.

One way to network with remote AI support is through online communities and forums dedicated to AI and machine learning. These communities can provide access to experts and resources, as well as opportunities to collaborate and share ideas with other professionals in the field.

examples of AI for networking:

Among the uses in networking, AI can reduce trouble tickets and resolve problems before customers or even IT recognize the problem exists. Event correlation and root cause analysis can use various data-mining techniques to quickly identify the network entity related to a problem or remove the network itself from risk. AI is also used in networking to onboard, deploy, and troubleshoot campus fabrics in greenfield scenarios, making Day 0 to 2+ operations easier and less time consuming.[2]

Types of enterprise networks

Some of the common types of enterprise networks include:

• Local Area Networks
• Wide Area Networks
• Cloud networks [3]

Features if AI in Computer Networks:

• Data transfer rate will be maximum
• Huge Data can be swiftly within second
• Makes intelligent decisions whenever required
• Protects the data
• Manage the data
• Controls the Network to work at its maximum speed
• If any problem occurs then it can fix by making intelligent decisions without any human need.[3]

In conclusion, networking with remote AI support can provide numerous benefits to businesses and organizations, including access to specialized expertise, advanced technologies, and cloud-based platforms. By leveraging these resources, businesses can develop and implement advanced AI solutions that can help drive growth, innovation, and efficiency. Whether through online communities, third-party vendors, or cloud-based platforms, networking with remote AI support can be a powerful way to stay competitive and achieve success in today's rapidly evolving business landscape.

References:

1. https://www.datamation.com/networks/latest-trends-in-networking/
2. https://www.juniper.net/us/en/research-topics/what-is-ai-for-networking.html
3. https://www.slideshare.net/hhhchamp/artificial-intelligence-in-computer-networks-79618105

Cite this article:

Gokula Nandhini K (2023), Enterprise Network Strategy , Anatechmaz, pp.84