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Toward Automated Intelligent Resource Optimization for vCMTS Using Machine Learning
By Kieran Mulqueen, Michael O’Hanlon, Marcin Spoczynski, Brendan Ryan, Thijs Metsch, Leonard Feehan & Ruth Quinn, Intel
2018
Considerations for Moving Your Access Network to the Cloud (and Back)
By Michael O’Hanlon, Eric Heaton, Brendan Ryan, Richard Walsh, David Coyle, Pavel Belitskiy & Subhiksha Ravisundar, Intel Corporation – Network Platforms Group; Randy Levensalor, CableLabs
2021
How VCMTS Paves The Way For 5G Over DOCSIS
By Brendan Ryan, Ed Dylag, Thushara Hewavithana & Eric Heaton, Intel Corporation
2021
Top-5 Things You Should Know About Operating a Virtual CMTS
By Brady Volpe, NimbleThis and The VolpeFirm; Thuy Nguyen, Intel Corporation; Muhammad Siddiqui, Intel Corporation; Michael Lafser, World Wide Technology
2022
Scaling DAA: Smart, Continuous Network Health Monitoring for vCMTS with Machine Learning
By Ilana Weinstein, Comcast; Ramya Narayanaswamy, Comcast; Aaron Tomkins, Comcast; Nivedhitha Sridhar, Comcast
2023
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
2016
Automation of Virtual CCAP to Reduce OpEx and Enable New Revenue Streams in the Access Network
By Michael O’Hanlon & Eric Heaton, Intel Corporation – Network Platforms Group
2018
Intelligent Outside Plant Power Operations with Machine Learning
By Matthew Stehman, Comcast; Chris D’Andrea, Comcast; Ilana Weinstein, Comcast
2023
Simplifying Field Operations Using Machine Learning
By Sanjay Dorairaj, Bernard Burg & Nicholas Pinckernell, Comcast Corporation; Chris Bastian, SCTE
2017
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
2016
Right Technician at the Right Time: Using Machine Learning to Predict Network Maintenance Issues
By Anastasia Vishnyakova, Rama Mahajanam, Mike O’Dell, May Merkle-Tan, Catherine Hay & Lisa Pham, Comcast Cable
2021
Scaling DAA: Automated Network Health Check for vCMTS Platform
By Marissa Eppes, Ilana Weinstein, Matthew Stehman; Comcast
2022
Best Practices for A/B Testing Machine Learning Models
By Piper Williams, Charter Communications; Ryan Lewis, Charter Communications; Miranda Kroehl, Charter Communications; Veronica Bloom, Charter Communications; Brock Bose, Charter Communications
2023
Encourage EVERY Employee to Learn and Utilize Data, Analytics, and Machine Learning (DAML)
By Robert Gray Wald, MS, SCTE® a subsidiary of CableLabs®
2022
Humanoids Optional: Deploying vCMTS at Scale with Automation
By Bhanu Krishnamurthy & Gregory Medders, Comcast
2021
Network Capacity and Machine Learning
By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Carlos Germán Carreño Romano, Mariela Fiorenzo, Gabriel Carro & Fernando Rodrigo Ochoa, Cablevisión S.A.
2017
Using Machine Learning to Automate Node Split Designs and HFC Augmentation Options
By Keith R. Hayes, IMMCO, Inc.
2020
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
2019
Closed Loop Capacity Optimization for Extended Spectrum DOCSIS
By Dr. Thushara Hewavithana, Intel Corporation; Dr. Rainer Strobel; Nader Foroughi, Shaw Communications Inc
2020
A Machine Learning Pipeline for D3.1 Profile Management
By Maher Harb, Jude Ferreira, Dan Rice, Bryan Santangelo & Rick Spanbauer, Comcast
2019