One of the maximum urgent challenges facing operators nowadays is retaining their multiple stock management structures. A current EXFO survey shows that carriers have, on average, 9 separate inventory solutions and that upwards of 16 percent of facts in those inventories turned into misguided or incomplete. This method that the carrier does not have a true picture of ways the physical and/or digital infrastructure is configured nor how the offerings are jogging on the pinnacle of it. This equal research showed that the simplest 15 percentage of communications provider providers (CSPs) believe they have a fully included view of their network and service stock. When networks and offerings are dynamic, thru the adoption of SDN and NFV, the tempo of change increases, making it even harder to maintain up and extremely hard to obtain an accurate and unified view of the network, offerings, and subscribers. This lack of community visibility makes it challenging for operators to well prioritize consumer experience management movements to acquire and hold a high pleasant provider for his or her subscribers.Wireless Network Deployment
The absence of network visibility further compounds the issue of diagnosing and troubleshooting faults in the network. Without up-to-date information available on-demand, operations staff, and customer service teams are compelled to manually piece together community and service information from a couple of, disparate structures to uncover the root reason in the back of debilitating community outages. And as we've got seen, given the charge of change operators must preserve tempo with, it’s little marvel that crucial outages have spiked through 40 percent during the last three years.
As operators look ahead for approaches to attain greater efficiency and effective community operations thru the adoption of AI and machine learning, they want to undergo in thoughts that the fulfillment of such endeavors rests totally on whether the records used to educate those algorithms are easy and correct. Without that, their AI aspirations will fail.
Today, EXFO’s network visibility and monitoring solutions are helping the operations, customer care and planning teams of several most important providers internationally get the community and provider visibility and statistics accuracy they need to do their jobs effectively. If you would love to find out how EXFO permits you to build a solid foundation for AI and system learning, drop through our booth at this year’s DTW Asia event (November 12–14, Shangri-La Hotel, Kuala Lumpur), or contact your local EXFO income representative.
The absence of network visibility further compounds the issue of diagnosing and troubleshooting faults in the network. Without up-to-date information available on-demand, operations staff, and customer service teams are compelled to manually piece together community and service information from a couple of, disparate structures to uncover the root reason in the back of debilitating community outages. And as we've got seen, given the charge of change operators must preserve tempo with, it’s little marvel that crucial outages have spiked through 40 percent during the last three years.
As operators look ahead for approaches to attain greater efficiency and effective community operations thru the adoption of AI and machine learning, they want to undergo in thoughts that the fulfillment of such endeavors rests totally on whether the records used to educate those algorithms are easy and correct. Without that, their AI aspirations will fail.
Today, EXFO’s network visibility and monitoring solutions are helping the operations, customer care and planning teams of several most important providers internationally get the community and provider visibility and statistics accuracy they need to do their jobs effectively. If you would love to find out how EXFO permits you to build a solid foundation for AI and system learning, drop through our booth at this year’s DTW Asia event (November 12–14, Shangri-La Hotel, Kuala Lumpur), or contact your local EXFO income representative.
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