Many providers contemplate using manual processes to manage service delivery on their fiber network. While this may work during the initial phases of the deployment (when the number of installs per day and the number of deployed customers are fe), manual provisioning will put an increasing strain on operations over time. To help better understand the benefits of automation, consider that someone will need to manually update the telecom OSS and BSS every time that…
ETI’s Vision OSS automates all of these functions, or, at minimum, makes it much easier to address them since it has all the data and features necessary to control service delivery. Starting with auto-discovery, Vision OSS eliminates the need for a design-and-assign function because the network will tell us where the ONT is located. Once the address of the ONT is known, it handles all service activation and management simply by having users – either hands-on through the user interface or through its Northbound Interface – change the services assigned to a customer. All the technical issues related to ONT port activation, VLAN assignments, ONT firmware, IP addresses, etc. are managed under the covers by Vision OSS based on the Service Provider’s target configuration.
In this episode with we speak with Fiber Broadband Association President, Lisa shares how the Fiber Broadband Association engages with the FCC, state and federal policymakers as well as communities across the U.S. She introduces a new measure of broadband, The Broadband Experience Index and shares findings from recent broadband research. Lisa also tells us about her passion to sponsor and support women in the fiber industry.more
In this episode, we speak with ZenFi Networks, President and COO, Enzo Clemente about network densification. Enzo shares his experience with designing and deploying broadband networks in large metropolis, he outlines some of the challenges with 5G permitting and provides advice to municipal leaders to be more fiber friendly.more
The first step of any AI implementation is to understand the business problem to be solved. Too many times, AI Engineers and Data Scientists jump in with their tool of choice without first understanding the problem at hand. Applying best practices to solve the problem is the next step.more