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 |
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 |
Machine Learning: The Past, Present and the Future
By Narayan Srinivasa, Intel Corporation
|
2016 |
Causality for Customer Experience Anomalies with Real-Time vCMTS Telemetry and Machine Learning
By Ilana Weinstein, Comcast
Ramya Narayanaswamy, Comcast
Federica Mutti, Comcast
Aaron Tomkins, Comcast
|
2024 |
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 |
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 |
Applications of Machine Learning in Cable Access Networks
By Karthik Sundaresan, Nicolas Metts, Greg White, Albert Cabellos-Aparicio, CableLabs
|
2016 |
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 |
Automating R-PHY in the Transition to vCMTS
By Douglas Johnson, Vecima Networks; Moe Iqbal, Cox
|
2024 |
Scaling DAA: Automated Network Health Check for vCMTS Platform
By Marissa Eppes, Ilana Weinstein, Matthew Stehman; Comcast
|
2022 |
Encourage EVERY Employee to Learn and Utilize Data, Analytics, and Machine Learning (DAML)
By Robert Gray Wald, MS, SCTE® a subsidiary of CableLabs®
|
2022 |
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 |
Humanoids Optional: Deploying vCMTS at Scale with Automation
By Bhanu Krishnamurthy & Gregory Medders, Comcast
|
2021 |
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
|
2019 |
