4 Ways Artificial Intelligence Will Change Your Network
May 04, 2020
In every facet of the enterprise world, Artificial Intelligence has made its mark. In the network space it has taken a little bit more time to adapt to a changing landscape. But not for long. AI is becoming the newest and most powerful way for IT leaders to take their operations, network management, and operational maturity to a whole new level. The software-defined era opened the door for a legacy system to catch up to the cloud and the ‘as a Service’ world, and made network management more transparent and visible–if only incrementally, for now. But those days are quickly nearing, as the technology shift at the edge goes beyond gaining traction and into a full-blown technology revolution.
The Driving Factors
With the sheer number of platforms, quantity of data, and speed of shifting technology, it is no longer feasible for IT teams to manage all of these factors themselves. Scaling is increasingly more difficult when you’re relying on manpower. Humans have limited capacities. It’s also not acceptable to end users today to have long delays or to wait for network administrators to troubleshoot problems. ZK Research found that 90% of the time spent fixing a network error is spent troubleshooting where it even came from. End users need results fast. Really fast. Without leveraging the mass amounts of data you’re generating every single day, slowly parsing through to find the error source is a mounting challenge.
Enter Artificial Intelligence
Combining the advances that SD-WAN brought to the table, and the integration of AIOps to advance the network, we’ve entered into a whole new era with AI. Leveraging the quantities of network data produced every day with the intelligence processes developed by QOS, we’ve begun to deliver a new class of network solutions. With the goal to alleviate large amounts of time spent managing, troubleshooting, and racing to fix the network, the intelligence and automation delivers a faster, more efficient network process that changes the way network management happens today.
4 Ways Artificial Intelligence Will Change your Network
1. Manual Management is a Thing of the Past
Just like automation revolutionized the manufacturing industry, network teams can leverage the benefits of scalability and growth when their time is no longer spent dealing with outages or incidents every single day. It becomes an opportunity to let the network run in the background instead of playing firefighter every day. One ZK Research study found that30%of engineers spent at least one day a week doing nothing but troubleshooting problems.
2. Turn Data into Action
Artificial Intelligence turns data across the network into something actionable. With correlation, event tracking, rapid root cause understanding, and ultimately faster remediation, you can immediately see the actions required to take your network back to a healthy state.
3. AIOps is the basis for the Network
The operations behind your organization is the glue that keeps the business running. Making those operations work for you is what makes AIOps so critical. From insights and data analysis to historical reporting and trends, combining the power that your data holds with the implementation and automation of processes and policies is the key.
4. Security Becomes Attainable
When you have automation and intelligence behind your network operations, it’s easier to put policies and protocols in place to flag security vulnerabilities, incidents, and ultimately shorten the time to remediation. With security breaches costing an average of $8.19M, it’s beyond critical to have your network working with your security team instead of running unwatched.
The next step for enterprises is to identify how they can move the network to an Artificial Intelligence platform that brings not just the benefits of a better performing connection, but brings all the data and insights available in the network into a central location. Then you can capitalize on the strategic benefit of having transparency in the network, and allow your data to work for you, all while allowing AI to enable faster remediation, better uptime, and a better experience for your users.