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Using SCTE 224 To Increase Advertising Revenue
By Gregg Brown. Stuart Kurkowski, PhD & Neill Kipp, Comcast Technology Solutions
2021
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
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
Leveraging Machine Intelligence and Operations Analytics
By Andrew Sundelin, Guavus
2017
Detecting Video Piracy with Machine Learning
By Matthew Tooley & Thomas Belford, NCTA – The Internet & Television Assocation
2019
Optimizing Video Customer Experience with Machine Learning
By Mariela Fiorenzo, Claudio Righetti, María Cecilia Raggio, Fernando Ochoa & Gabriel Carro, Telecom Argentina S.A.
2019
Improving Pedestrian Safety using Computer Vision, Machine Learning and Data Analytics
By Parmjit Dhillon, Mohamed Daoud & Hossam Hmimy, Charter Communications Inc.
2021
Leveraging Machine Learning for Network Traffic Forecasting
By Diane Prisca Onguetou, PhD, Independent Consultant; Achintha Maddumabandara, Rogers Communications; Jeffrey Lee, Rogers Communications
2023
Multi Layered Unsupervised Machine Learning for Detection of Real Time Network Service Impairment
By Eric Frishman, Comcast; Devangna Kaushish, Comcast; Russell Harlin, Comcast; Aditya Vallabhajosyula, Comcast; Eswaramoorthy Subramaniam, Comcast
2023
Operational Transformation: Modernizing Field Operations
By Derek Strauss, Shaw Communications Inc.
2019
Machine Learning Applications in Cable TV Advertising: Usage and Challenges
By Srilal M Weerasinghe PhD, Charter Communications
2019
Internet of Things Dynamics: Opportunities and Challenges for Broadband Network Operators
By Tim Johnson, Alpha Technologies; Arun Ravisankar, Comcast; J. Clarke Stevens, Shaw Communications; Chris Bastian, SCTE-ISBE
2018
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
Bringing the Mid-Split Factory Online to Rapidly Produce Terabytes
By Serge Kasongo, Comcast, Field Operations; Dr. Robert Howald, Comcast, CONNECT; John Chrostowski, Comcast; Robert Thompson, Comcast
2022
Using AI in Network Planning and Operations Forecasting
By Petar Djukic & Maryam Amiri, Ciena Canada
2021
Operational Transformation Via Machine Learning
By Shamil Assylbekov, PhD. & Devin Levy, Charter Communications
2018
Machine Learning Model for Customer Claim Prediction in HFC Subscribers
By Dr. Claudio Righetti, Telecom Argentina S.A.; Matilde Cuenca, Telecom Argentina S.A.; Dr. Diego Martinez Heimann, Telecom Argentina S.A.
2023
Photon Avatars in the Comcast Cosmos: An End-to-End View of Comcast Core, Metro and Access Networks
By Venk Mutalik, Steve Ruppa, Fred Bartholf, Bob Gaydos, Steve Surdam, Amarildo Vieira, Dan Rice; Comcast
2022
Water Can Run, But It Can’t Hide: PNM Finds Soaked Cables
By Kathy Fox, Nathan Zedan, James Kolcun & Larry Wolcott, Comcast; Jason Rupe, Tom Williams & Jay Zhu, CableLabs; Ron Hranac, SCTE Network Operations Subcommittee
2021
Exploring Programmatically Generated HFC Plant Topology
By Lin Cheng, CableLabs; L. Alberto Campos, CableLabs; Justin Riggert, Comcast Corporation; Larry Wolcott, Comcast Corporation
2023