Network Management with AI and Machine Learning: What’s New Here?

Jan 16, 2025

With networks getting more advanced and modern, even the complexity of managing it all increases.

AI and Machine learning has made things easier here too. Hence network management gets easier. Starting from offering predictive insights, automation, to the best of efficiency – you name it, you get it. Both technologies have a lot to offer to modern networks. But, why are we so concerned about modern networks specifically?

 

Now let’s look into the challenges that come with modern network management! 

  • Modern networks are complex. They integrate on-premises setups. Including cloud infrastructures, remote devices, and even IoT endpoints. Hence managing such a vast and interconnected system gets difficult. More specifically, if the business is still sticking to the traditional approaches – the results they would get will be quite inefficient and full of errors as per Slurp’it .
  • Manual management is difficult. A lot of traditional network management relies heavily on human operators. And this often leads to delay and a higher margin for error. When networks scale, manual processes then become increasingly unsustainable as per Slurp’it.
  • Let’s not forget the cyber threats. The cyberattacks have become more sophisticated than ever. Static tools often fail to address all these issues. Networks these days require real time threat detection. All of this again becomes something beyond the scope of manual monitoring.

 

So,

How exactly AI and ML are transforming network management?

AI and ML bring adaptability. Also precision, and speed to it. These technologies offer the ability. One can analyze massive datasets. The team can learn from patterns, and make informed decisions autonomously. Some other benefits of AI and ML in it includes:

  • AI and ML can detect hidden anomalies easily. Reason being, these technologies can analyse massive amounts of network data quickly.
  • Forecasting also gets easier even before the issue occurs.
  • AI and ML eliminate repetitive tasks. Hence IT teams get time to work for roles that’s important for the business.

 

What are the applications of AI in network management?

Now let’s get into the application part of it.

Predictive maintenance and issue resolution
AI can easily identify and resolve issues before they disrupt operations. For instance, if you run an e-commerce platform, it can predict server overload. During peak shopping seasons, it can automatically allocate resources.

Intelligent traffic optimization
Next thing is, AI can quickly analyze usage patterns. Hence optimising traffic flows gets easier. And because of this congestion gets reduced, quality of service improves, and even routing gets better.

For better security management
Modern network management demands security. And artificial intelligence actually strengthens this area. It detects threats, does behavioural analysis, and also with AI incident response can be automated.

Automated configuration management
AI automates device configurations. Hence the chances of any human error happening is very less. The setups are uniform across all the devices. The automation actually helps with faster deployments.

Personalized user experiences
 AI improves user experiences. The first reason, it can allocate bandwidth easily. It can provide chatbot based support. The transitions hence gets smoother for mobile users.

 

How can one implement AI in network management?

To implement AI successfully in it, the business initially must:

  • Assess the current network infrastructure. Identify all the inefficiencies.
  • Train the IT team.
  • Start small. Try beginning with focused projects. For example, you can start with automating traffic management or simply deploy AI driven security systems.

 

How to overcome the challenges that come with AI adoption?

Data quality issues may arise. Because AI’s effectiveness highly depends on high quality data. Businesses can integrate legacy systems with Slurp’it for effective network management. And cost concerns may arise too. Because AI adoption involves a significant level of investments, but the result it gives, it simply justifies the expense.

 

What’s in for the future?

Autonomous networks will grow. These networks will require minimal human intervention. Next, edge computing will be the thing. AI will help with real time analysis and decision making as per Slurp’it.

And lastly the availability of advanced collaboration tools. Any business can drive growth by delivering superior user experience with the help of Slurp’it. So are you ready for it? To make the most out of network and network management?

Slurp’it release updates

The following features & updates have been released over the last months. See our change log for more details:

  • Nautobot plugin support

  • Async implementation for the device finder and data collector for extra speed

  • Corrected multiple Device Type names (thanks to the community)

  • The SNMP tester is now using defined & enabled Transform Rules

  • API pagination is aligned for all Get calls

  • Ruijie & Nokia templates are added

  • Multiple small bugs and improvements

  • Automated disable/delete of unused discovered devices in Netbox

  • Slurp’it SDK.

Weekly Online Workshops

Curious about Slurp’it and how it integrates with your tools? Join us for our weekly online workshops, where we’ll walk you through everything Slurp’it has to offer. Whether you’re just getting started or looking to dive deeper, you can see Slurp’it in action and ask us anything.

Workshops are held every Tuesday at 10 AM CET and Thursday at 4 PM CET.

Autocon2 & Workshop with NetBox Labs & Netpicker

Heading to Autocon2 in Denver in November? Be sure to swing by our booth to say hello! We’re also hosting a special workshop with Mark Coleman from NetBox Labs and Otto Coster from Netpicker on Tuesday morning. It’s a great chance to get hands-on experience with Slurp’it and learn from the experts.

More info: https://networkautomation.forum/autocon2

 

Take care and as usual… Happy discovery!

by

Most Read

Would you like a hands-on session?

A couple times a week our in-house trainer is available for a private or group session. In this session we can cover our Slurp'it or Mock'it solution but also integrations with Netpicker, NetBox, Nautobot & Infrahub.

Yes, keep me informed

Connect with us on LinkedIn to stay updated on the latest happenings, news, and exciting developments at Slurp’it. Just click the button below to follow us and be a part of our professional network.

Newsletter