There is no doubt that Wi-Fi networks continue to grow in importance for most companies. Workers use it for work, students receive education about mobile tablets, doctors have bedside patient records, and millions of Internet of Things (IoT) devices have Connected to wi fi management.
Wireless is no longer a convenient connection: mission-critical, low-performance wireless networks mean critical processes can fail.
Troubleshooting Wi-Fi, the cause of ongoing network engineer problem
If your wireless network is very important, why don't you have better Wi-Fi troubleshooting tools? A recent survey by ZK Research on Wi-Fi troubleshooting revealed how difficult this is. Some interesting data points from the survey:
Just under 60% of respondents spend at least a quarter of their time doing nothing more than fixing Wi-Fi problems. I work 40 hours a week and spend 10 hours looking for and fixing Wi-Fi problems.
Forty-seven percent of respondents said it would take more than 30 minutes to diagnose a problem, and 41 percent said it would take an additional 30 minutes or more to resolve a problem. This means that approximately half of companies take an hour or more to fix Wi-Fi problems.
Over 60% of respondents still use packet capture as their primary troubleshooting tool. Packet captures are similar to data dumps, and someone needs to examine and analyze the data, so you can see why troubleshooting takes so long.
What if there was a better way? What happens if a Wi-Fi problem is found before the user reports the problem? Science fiction what do you say? I understand skepticism, but machine learning and artificial intelligence (AI) are widely used in many industries, such as driving a car, automating supply chains, and feeding crickets. If you can do this, can you help me find Wi-Fi issues?
Our company Brings the Power of Artificial Intelligence and the Cloud to Wi-Fi Troubleshooting
That's exactly what the Hewlett Packard Enterprise company, Aruba, is showing at the Atmosphere user conference in Las Vegas. (Note: Aruba is a client of ZK Research). The company announced a product called an AI-based troubleshooting tool that is offered as SaaS. As companies roll out more IoT devices and mobile terminals, products become essential.
We offers a data-driven approach to solving Wi-Fi problems. Rather than waiting for the user to call and yell at the help desk, the product constantly collects data, sets an automatic baseline for the environment, and points out non-standard problems. The panel shows AP airtime utilization, client traffic, excessive 2.4G utilization, etc., but highlights what might be causing the problem.
Proactive Management Of Wifi Networks
For example, in the AP airtime widget, NetInsight continually collects data to determine how severe Wi-Fi issues have been in the past 30 days, and the group of APs identified as problematic. , Reports the number of reported anomalies, usage, and deviations from the standard. It also offers practical recommendations on how to fix the problem. Even when users are not calling, network operations teams get the data to fix things that are not working and take care of things that are not optimal.